#Salesforce Programmers

[aeolianblues]

I don't like that the dev community picks on people who are most fluent in Python, when the ChatGPT-using "vibe coders" are right there. At least Python babies are coding. Bully the non-coders instead.

[softwarefrim]

Hire Salesforce Developer

Hire Salesforce Developer at YES IT Labs for seamless Salesforce solutions—development, integration, and migration services customized for your business success.

[salesforceconsultant]

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[hiringjournal]

Now, it's easy for you to hire pre-vetted Salesforce developer in just 48 hours. Tap on the link below👇 to hire dedicated salesforce developer:

[codesandprogramms]

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[askagamedev]

Summer 2025 Game Development Student Internship Roundup, Part 1

Internship recruiting season has begun for some large game publishers and developers. This means that a number of internship opportunities for summer 2025 have been posted and will be collecting applicants. Internships are a great way to earn some experience in a professional environment and to get mentorship from those of us in the trenches. If you're a student and you have an interest in game development as a career, you should absolutely look into these.

If you know of any game development internships that aren't listed here, please tell me! I'll try to collect another batch when EA posts theirs as a follow-up.

Technical Artist Intern (Remote!)

Sound Design Intern (Remote!)

Game Design Intern

Game Engineering Intern

Data Analytics & Data Science Intern

Localization Production Intern

Environment Art Intern

Animation Intern

VFX Intern

3D Character Art Intern

Site Reliability Engineering Intern

Concept Artist Intern (Canada)

Animation Intern

VFX Intern

Game Engineering Intern

Technical Artist Intern

Threat Intelligence Analyst Intern

UI/UX Design Intern

User Research Intern

Computer Graphics Intern

Software Engineering Intern

Production & Project Management Intern

Concept Artist Intern (California)

World Designer Intern

3D Artist Intern

Animation Programmer Intern

Animation Technical Design Intern

Audio Design Intern

Backend Engineer Intern

Balance Design Intern

Character Artist Intern

Engine Programmer Intern

Environment Art Intern

Game Design Intern

Game Security Intern

Gameplay Programmer Intern

Gameplay Systems Engineer Intern

Salesforce Developer Intern

Software Engineer Intern

Environment Art Intern

Game Design Intern

Gameplay Programmer Intern

Tools Programmer Intern

Technical Artist Intern

Technical Character Animation Intern

Technology App Portfolio Intern

Tools Programmer Intern

Concept Artist Intern

At time of writing, Electronic Arts was performing maintenance on their recruiting site and should have new openings posted on November 12th 2024. I'll do a second round of internship opportunities once they post, along with Ubisoft and any others I missed.

Brush up your resume and focus on any game dev work you've done. Amateur game dev work counts! Tabletop game mastering counts! Amateur board and card game design counts! Making your own CCG fan sets or draft cube counts! Game jam work counts! These make a bigger difference when it comes to hiring than most other kinds of work experience.

If you need assistance with your resume/CV, cover letter, or have other questions, join our discord and ask. The server is full of experienced developers who can help review your materials and give you suggestions. I also suggest taking a look at my Game Career FAQ. There's a lot of answers in there already. Best of luck out there.

[Join us on Discord] and/or [Support us on Patreon]

Got a burning question you want answered?

Short questions: Ask a Game Dev on Twitter

Long questions: Ask a Game Dev on Tumblr

Frequent Questions: The FAQ

[bluelupinblogs]

Why Salesforce Developers are Unexplained Forces of Business (2023)

According to the company’s own website, Salesforce is known to be the world’s number one customer relationship management (CRM) platform. It is a software whose sole purpose is to help businesses grow by helping them understand the specific needs of their customers by using certain cloud-based apps that are designed for sales, marketing, and service.

However, since no 2 companies are the same, their Salesforce requirements will be different as well. When this takes place, it is usually good to have a top Salesforce development company handy, a company that is well-versed will customise the software development and in providing tailor-made solutions.

If this is something that piques your interest or if you are someone who is already working in Salesforce but would like to up your skills, then this blog is for you.

So What Is A Salesforce Developer?

A Salesforce developer is any person who builds Salesforce applications across different Platform as a Service (PaaS) platforms. However, it is important to keep in mind that he/she does not need to work for Salesforce in any way, shape, or form.

What Do They Do?

 A developer dealing in Salesforce has a deep understanding of how it works along with sufficient experience with the platform. A Salesforce developer or a Salesforce development company is hired by an organisation to customise Salesforce to the unique needs of the hiring party. However, it should also be said that the developer can even be someone who is an in-house programmer who has the necessary skills to work with Salesforce. Some of the tools that are used by these developers include Visualforce and Apex and frameworks like Lightning Component.

Roles and Responsibilities of These Developers

One thing that can be easily noticed is that the roles and responsibilities of a Salesforce developer are pretty similar to those of any other professional developer working in a top software development company in India.

However, just for the sake of completeness, here are the roles and responsibilities of these developers:

·       Analyse user needs, and then plan, design, test, and develop software that meets their unique needs.

·       Come up with effective project plans and develop Salesforce solutions. Also add more value to the 3 stages of project work: definition, development, and deployment.

·       Provide useful suggestions regarding software upgrades for existing apps and systems.

·       Stay ahead of the transforming technological landscape of Salesforce, and .Net/Java platforms and also adapt quickly.

·       Develop every part of any application and then plan how those different parts can mesh together.

·       Create programs for use over the internet and for in-house users over the company intranet.

·       Properly handle inconsistencies in data and come up with processes that can counter any deficiencies.

·       Collaborate with other programmers by creating flowcharts so as to instruct them on how to write additional software code.

·       Ensure that a program runs efficiently by performing routine maintenance and testing.

·       Keep a record of the inventory of the company’s systems and applications for future reference, especially when it comes to upgrades.

·       Team up with other computer specialists to develop optimum software.

Other than the above-mentioned points, one must also remember that a Salesforce developer should always maintain a cordial rapport with the client to understand their operation and Salesforce implementation needs. For example, the developer must make it a point to figure out how the customer is trying to use the software and also identify the core functionality. This means paying extra attention to user needs that go well beyond the scope of the software, issues concerning security, and system performance.

Therefore, you should understand by now that a Salesforce developer has a lot on his/her plate. Their work is extremely challenging, however extremely rewarding as we are going to see below.

What Is The Salary Of A Salesforce Developer?

The average salary of a Salesforce developer in India is somewhere around Rs.500,000 per annum including both profit-sharing and bonuses. It only goes without saying that the bigger the company the more money they will pay for your services. Digital technology solution companies usually pay around Rs.10, 00,000 per annum. Big names in the field like Deloitte and Cognizant pay well above Rs.6, 00,000 per year.  

Salesforce developer salaries also vary according to the experience of the individual. An entry-level developer can expect his/her salary to be around Rs.3, 00,000 per annum. However, after gaining an experience of about 2-5 years the compensation can get close to Rs.5, 00,000 per annum. And if someone gains an experience of around 9 years the hefty paycheck can get close to Rs.10, 00,000 per annum.

It is also useful to remember that the salary of a Salesforce developer also varies according to the location of the individual and his/her job as well.

What Are The Benefits Of Hiring A Salesforce Development Team?

The benefits of hiring a dedicated Salesforce development team for your business are many. Let's look at some of these benefits as listed below:

1)      Building a core business

One of the best ways of managing your in-house resources is by outsourcing your Salesforce development needs. Instead of having an in-house team, you can find experienced and thorough professionals in the field of Salesforce development taking care of your workload.

2)      Skilled expertise

By having a quick look at the portfolio of the companies delivering dedicated Salesforce development services, you can get an idea of their expertise then and there. Therefore, by choosing a dedicated Salesforce team you can be certain of the fact that you have hired people with the right amount of expertise and skill set. They can not only understand your business processes but can also come up with the most apt cloud-based CRM solutions that are tailor-made for your business specifically.

3)      24/7 Availability

Needless a dedicated Salesforce development team will be ready to render their services round the clock. Nowadays, we live in a world where remote working has become the norm, and so have customisations and testing. Therefore, a team that will offer continuous support should always be sought out for. This way, even when the in-house team is sleeping, you will have a team of experts taking care of your CRM.

4)      Cost-efficient

You can also save on costs by hiring a dedicated Salesforce development team in India. As a matter of fact, you can save up to 60% of your total costs. You can make use of this saved money to build your core business and pay more attention to business growth.

Nevertheless, here are a few wise words from Josh Kaufman on outsourcing, it goes like this - “For everything we don’t like to do, there’s someone out there who’s good at it, wants to do it, and will enjoy it.”

And that pretty much sums it all up. If you are really looking to get the best benefit from Salesforce, outsourcing is the best thing you can go for.

 How to Become a Salesforce Developer?

After such an elaborate discussion on the roles and responsibilities of a Salesforce developer and the hefty compensation that comes with being one, you might ask “But how to actually become a Salesforce developer?” read on to find out about it!!

First, to begin with, most software developers including Salesforce developers have a bachelor’s degree in computer science, and software engineering along with excellent knowledge of computer programming. It is also useful to have knowledge and skills in the industry where these Salesforce skills can be put to the best of use. Moreover, you also need to have an understanding of Model-View-Controller design patterns, Object-Oriented Programming Principles, and Java, or .Net Programming.

Having an internship experience in a software business right after graduating from college also goes a long way. Arrangements like these can provide essential connections, skills, and much-needed experience. If you find it difficult to get a job as a developer, it is recommended to start as a programmer and then slowly work your way up to becoming a Salesforce developer.

In case, you want to become a Salesforce developer after a long time from graduating college, make sure to take an online course focussing on Salesforce development as it can teach you essential skills that are needed to get a job in a Salesforce development company. Certifications like these are crucial as they confirm to employers that you are armed with the skill set needed to do the job they want you to do.

What Are The Skills Required To Become A Successful Salesforce Developer?

In order to become a Salesforce developer there are certain specific skills that one needs to have and they are as follows:

·       Analytical Skills: Having sufficient analytical skills assists in analysing the client’s needs and also in developing the requisite software.

·       Communication Skills: These come in handy when dealing with customers as it might include explaining to them how an app works. It is also helpful in giving your juniors clear instructions on what needs to be done.

·       Computer Skills: It goes without saying that excellent computer skills are a must-have for a Salesforce developer.

·       Interpersonal Skills: a good Salesforce developer has to be someone who is doing teamwork at one point or another.

·       Problem-solving Skills: This skill is probably the bread and butter of every developer. Being a developer you are in charge of overseeing every stage of the software development, and you can be assured of the fact that there are going to be problems at one stage or another.

In addition, it is also helpful for developers to be detail-oriented and be able to think out of the box. The former means developers need to be creative and in the latter case, a great developer must be able to deal with all the small details.

[fugu-in-f]

it's fucking terrible garbage

a corporate build-it-yourself comedy of errors

a pointlessly large aggregation of stuff that does not work and stuff that companies rebuild that does not work

oh my god if it builds a table and there's a clickable link in a table cell, it's not actually a table cell in the middle of the table, that's a table header and that table cell does not exist

sometimes it makes its own browser subtabs and sometimes it opens its own browser page as subtabs and then you've got three instances of Salesforce nested inside your Salesforce webpage

its search features sometimes just gives up when you're searching for a specific string or number

its duplicate rules checking is arcane and asinine

oh, you loaded a page too fast? waow, component error

its permission hierarchy is incomprehensible - have a role and a permission and a permission set and a permission set group and no these do not overlap how you think they do

I test this shit for a living and I'm incrementing violent decades and maybe it's just all my terrible programmers writing garbage on the platform, but it's awful and I hate it

what the fuck is a salesforce. we're briefly alive for a few violent decades

[360smsappusa]

Best 7 Salesforce Marketing Cloud Integrations to Streamline SMS and Text Marketing Campaigns

Salesforce Marketing Cloud is still an effective platform to handle customer journeys at scale. Nonetheless, the text marketing Salesforce remains an area that needs careful incorporation with external applications to align the messaging workflow with data, analytics, and triggers. As customer demands evolve rapidly in and around speed and context, organizations need to move beyond a generic outreach process and create up-levelled use cases that run throughout messaging, CRM and data pipes.

This blog uncovers the seven future-proof Salesforce Marketing Cloud integrations, the responsibility of which is to design smart SMS campaigns that can grow as data-wise as you want, able to cope with dynamic marketing circumstances. Such solutions do not simply relay texts, but coordinate purposeful communication with the use of complete intelligence of your CRM.

1.360 SMS App Native Multi Channel Messaging within Salesforce

The 360 SMS App is one of the most versatile SMS apps in Salesforce that allows Marketing Cloud users to implement logic-based workflows of texting in Salesforce without code. Instead of using only scheduled sends, marketers can set SMS journeys that are triggered by field updates or record changes or even custom events. Having 11+ channels supported, including WhatsApp, Viber, and Instagram messaging, 360 SMS will enable teams to go further than email and embrace direct-response platforms. It is also possible to make Salesforce data that is referenced deeply within the middle of the campaign, and this is as well as dynamic personalization without list export.

2. Twilio in Marketing Cloud- Custom Messaging through Marketing Cloud SMS API

Marketing Cloud SMS API can be used to connect the plumbing of Twilio programmable messaging with Salesforce Marketing Cloud. Although this has higher developer interaction than that of native solutions, it gives flexibility to support custom use cases, particularly within the context of multinationals or a highly regulated setting. In combination with Journey Builder, the configuration may channel transactional notices, post-acquisition communications, and subscription processes through programmable logic developed external to Salesforce.

3. Marketing Cloud- MobileConnect Native SMS Marketing Infrastructure

The most common text marketing beginning in Salesforce is Salesforce-provided MobileConnect in Marketing Cloud. It supports simple SMS, stimulated alerts and short codes. However, because it has a close native integration, MobileConnect is best used when supplemented by APIs or other outside expansions. Teams operating MobileConnect in a decoupled capacity with some apps, such as 360 SMS or WhatsApp Business Platform, frequently realize additional freedom in sectionation and design choices in interaction.

4. WhatsApp Business Platform Integration 

To the brands interested in engaging in a conversation interface, adding WhatsApp Business to the Marketing Cloud creates new opportunities. This method can be designed in a most effective way, typically as authorized message templates and combined with pre-sales, delivery, or appointment processes.

5. Zapier + Salesforce Marketing Cloud- No-Code External Text Triggering

Zapier offers a native substitute for low-code alternatives to native Marketing Cloud integrations. Combined with SMS APIs such as Twilio, ClickSend, or MessageMedia, it is possible to initiate SMS sends via external actions (e.g. off a form, payment event, or spreadsheet update). Although Zapier is not made specifically to work with Marketing Cloud, it can be used as a middleware layer that allows it to connect to non-Salesforce systems and make them work together with campaign logic. It is a path commonly researched by the teams which want to avoid custom development to send SMS events-based.

6. Slack + Salesforce Marketing Cloud -In-house Alerts through SMS Duplicating

Even though closer internal communications are Slack's bread and butter, 360 SMS works especially well in combination with Salesforce to provide timely responses on high-value conversations, customer support requests, or even message delivery failures or customer responses.

7. Marketing Cloud Journeys Upcoming (Custom Webhooks)Real-time triggers of external SMS systems

Marketing Cloud Journey Builder enables webhooks, thus allowing the invocation of SMS APIs in real time. Such an approach is common in the case where region-specific carriers are involved, or environments where compliance is paramount and forms most of the effort in sending messages via approved aggregators. Although such an approach necessitates technical implementation, it allows brands to manage all aspects of the text, including timestamp, processing of message format, etc., according to CRM information or behavioural incidents.

Constructing a Dynamic SMS plan with Marketing Cloud

All these integrations have a particular role in the perfection of the use of SMS in marketing based on Salesforce. Being able to launch campaigns straight out of Journey Builder, tracking lead form completions on social sites, and being able to override drip text flows across time zones make messaging no longer one-way, but responsive.

The actual power of such tools is in the way they interact with CRM data structures. An example is the 360 SMS application, which will enable field-level logic to dictate message frequency, timing and languages, and respect the opt-in status and compliance rules. It is not a matter of sending a message but creating a rule-based system that would interpret your audience data every time a decision is made.

The success of SMS and text-based campaigns in Salesforce does not involve the number of messages, but rather it involves a calculated action based on each message sent. Based on the appropriate integrations, the marketers will be able to capture their Salesforce Marketing Cloud strategy to near-real-time customer intelligence, as opposed to inflexible scheduling.

Teams that want sophisticated Salesforce messages functionality can rely on the 360 SMS App to provide the extensive native connection and enterprise-level customizability. The free capacity to connect to the appropriate media with ensuring security and flexibility, is going to be the next generation of CRM-centered marketing as the rules and regulations relating to messaging, behavior of the customer and formats of the campaigns change.

[jimbuchan]

Hello, G'day or こんにちは

We have all witnessed the surge of automated online support engines over the past decade, which in a short period of time have progressed from a manual to an automated affair, always with the intended goal of increased convenience. Before the era of smart agents as we know it today, initially these engines started as semi-automated processes through 'bots', however, due to its repeditive nature and flowchart-like responses, the user-base started demanding smarter alternatives. Case in point, you may recall when automation first came on the scene it was in the form of friendly robot avatars which helped us do remedial tasks such as ordering pizza. The main benefit of these 1.0 versions of 'A.I.' was in the speed-of-delivery of the replies but this was based on determined responses which were programmed into the bot based on archived data from past customer requests rather than true Artificial Intelligence based on large language models (LLM's). From these early iterations of smart-bots came the obvious need for more granular (and human-like) responses as while bots were rapid in speed, the answers were limited based on company-curated data and not large swaths of public (and consumer) data which feed today's AI engines. The trade-off from programmatic-answers to factual and detailed responses ushered in the move to generative tools such as ChatGPT, Groq and the Salesforce AI engine AgentForce. Similar to how the latest AI systems provide fast and concise answers using LLM's, AgentForce provisions responses based on data that is both publicly available as well as data you feed it for custom, purpose-specific responses. For the developer or admin, AgentForce already provides Salesforce-specific queries on any SFDC subject matter such as Flows and debugging Apex, but going further for customer interactions, the proprietor can give their clients a tailored support experience. Supplementing the richness of your customized AI portal, AgentForce can also converse in a variety of languages such as French, German, Italian, Japanese and is soon expected to support over 40 languages. But the tool doesn't stop there… it also has the ability to converse in a specific flavor or dialect via the specified Language Locale (i.e. Australian, UK or US for English or Canadian or France en français).

Taking this further, the 'Tone' option gives your enterprise an added element of inflection by enabling your autonomous agent to communicate in a friendly (or casual) demeanor, or when a linguistically proper emphasis is required, the 'formal' option can be used. Does your business have a further need to refine the Locale and Tone with a made-to-order resonance? Bolt-on applications to Salesforce such as AirCall and JustCall gives further customization options for your voice (CTI) customers by introducing sentiment to your language such as sincerity, empathy or candidness. Where bots used to converse by rigid programmability, advancements in Natural Language processing gives your customer the option to communicate on their terms, and on their choice of platform, be it voice, chat or email. Taking this concept further, all of this valuable AI data can also be used in your everyday applications via the new AgentForce 2dx tool, where you can call an action within internal workflows, or enable a response from a complex orchestration or process within your other systems via API or Flow. In a short period of time, the automated service landscape has evolved to almost human-like standards, and while there are many advancements still to come (as it's only been 6 months since AgentForce was released for General Availability), investing your team's time to realize the potential for your enterprise can pay dividends if adopted properly. Should your firm have even one use-case that qualifies, taking advantage of this early can give you an edge over your competition (which if they are not currently in 'beta testing' mode, are most likely already using it).

__________________________________________________________________________________________ Title image by GabiMedia via Deviant Art | JustCall by SaaS Labs | AgentForce 2dx by Salesforce AirCall by aircall.io | Max Headroom / Matt Frewer by ABC, via The Verge

[wedesignyouny]

VibeGTM vs. Vibe Coding: Revolutionizing Go-to-Market with Agentic AI

Introduction

Are we entering an era where AI “does the work” while we simply set the vision? For software developers, the answer is trending toward yes – thanks to vibe coding, a new paradigm where programmers let AI generate code from natural language prompts. Instead of painstakingly writing every line of code, developers using vibe coding “express their intention using plain speech” and let AI agents transform those ideas into executable software. The result? Coding projects can be spun up in a fraction of the time – in fact, AI models can produce code an order of magnitude faster than even expert human coders. This “forget that the code even exists” approach, as AI luminary Andrej Karpathy describes it, allows creators to focus on ideas and prototypes while the AI handles the heavy lifting.

Now, that same principle of effortless AI-driven execution is coming to the world of sales and marketing through VibeGTM. Just as vibe coding empowers developers to build software by simply describing what they want, VibeGTM (short for “vibe go-to-market”) enables business teams to launch full-fledged sales campaigns with minimal manual effort. Landbase – an AI technology company recognized as the leader in agentic AI for go-to-market (GTM) – is pioneering this approach as a core part of its strategy and technological positioning. The idea is straightforward: make GTM as easy as setting the vibe. Instead of weeks or months of planning, list building, and outreach, Landbase’s platform can suggest and orchestrate a multi-channel campaign in minutes. The user simply specifies high-level goals or target audiences, and the AI does the rest – much like a developer saying “build me a simple app that does X” and watching the AI generate it.

According to Salesforce research, 83% of sales teams using AI have seen revenue growth, versus 66% of teams without AI. Results like these underscore why trends like vibe coding and VibeGTM are gaining momentum – they promise to boost productivity and outcomes in fields that traditionally required intensive manual effort. In this blog, we’ll compare vibe coding and VibeGTM side by side, exploring how each works, the problems they solve, and what this means for professionals in telecom, commercial real estate, managed services, and beyond. We’ll see how Landbase’s agentic AI-powered VibeGTM approach is revolutionizing go-to-market execution, much as AI coding assistants have transformed software development. By the end, you’ll understand why Landbase positions itself as a category leader in this space and how embracing these innovations could give your business a strategic edge.

From Vibe Coding to VibeGTM: Two AI Revolutions, One Philosophy

Vibe coding and VibeGTM originate in very different domains – one in software engineering, the other in sales/marketing – yet they share a common philosophy: let AI handle the grunt work. Both emerged as responses to the question: what if we could achieve our goals by simply telling AI what we want, and letting it figure out the “how”?

Vibe Coding (software development): Coined by AI researcher Andrej Karpathy in early 2025, “vibe coding” is a fresh take on programming that puts AI at the forefront of writing code. Developers using this approach rely on AI coding assistants (powered by large language models) to generate and even debug code, while they guide the process with natural language prompts and high-level feedback. As IBM’s AI experts describe, vibe coding lets users “express their intention… and the AI transforms that thinking into executable code,” enabling a “code first, refine later” mindset. This means faster prototyping and iteration: one can build an application by simply describing features or changes (e.g. “make the login button blue and half the size”) and accepting the AI’s suggestions, without manually digging through code for every tweak. The payoff is tremendous speed and flexibility in development – early vibe coding adopters report launching weekend projects in hours instead of weeks, as the AI can produce functional code 10x faster than a human. Of course, a human remains in the loop for oversight and final polish (especially for production-quality software), but the heavy lifting of generating boilerplate, fixing minor bugs, and scaffolding entire modules is largely automated. Vibe coding, highlighted in major media from The New York Times to Ars Technica, has quickly gone from a niche term to a mainstream movement in programming – all within a few months of its inception.

VibeGTM (go-to-market execution): Coined by Landbase CEO Daniel Saks in early 2025, “vibe GTM” is inspired by the success of vibe coding. Landbase pioneered VibeGTM to bring a similar “AI does the work” experience to go-to-market strategy. In essence, VibeGTM is about using agentic AI to automate the complex, multi-step process of B2B sales outreach – from identifying target customers, to crafting personalized messages, to executing multi-channel campaigns. Rather than a sales team manually researching leads, writing emails, and following up tirelessly, VibeGTM envisions a world where a business user can say, for example, “Get me meetings with procurement managers in the top 50 healthcare companies in our region,” and the AI-powered system will handle everything needed to make it happen. Landbase’s CEO Daniel Saks explains that their latest product update – the Campaign Feed – “brings the fun and effortless experience of the ‘vibe coding’ phenomenon to GTM, making it easy to review, edit and launch campaigns in minutes instead of months.”. In practice, this means Landbase’s platform will recommend complete campaign strategies (audience selection, messaging, timing, channels) as easily as a coding AI suggests code changes. A user can review the suggested go-to-market campaign, tweak any details if needed, then launch it with one click – the AI takes care of executing the outreach across email, LinkedIn, phone, etc., and even monitors responses to optimize the next steps. This is made possible by Landbase’s proprietary AI engine, GTM-1 Omni, which is a domain-specific, multi-agent AI system purpose-built for sales and marketing workflows. Much like an AI pair-programmer in vibe coding, GTM-1 Omni acts as an “AI GTM team” that can design and run campaigns autonomously, while the human sets the high-level objectives.

At their core, both vibe coding and VibeGTM are about democratizing expertise through AI. Vibe coding allows even non-experts or time-strapped coders to create software by leveraging the AI’s knowledge of best practices and vast coding patterns. Similarly, VibeGTM allows a small business or a lean sales team to execute sophisticated marketing campaigns (traditionally requiring an army of SDRs, marketers, data researchers, and various tools) simply by tapping into Landbase’s AI, which carries the learned experience of thousands of successful campaigns. In both cases, AI acts as a force-multiplier for human creativity and strategic thinking: you focus on the “what” (the vision or goal), and the AI figures out the “how” (the execution steps). It’s a paradigm shift in how work gets done.

VibeGTM vs. Vibe Coding: Side-by-Side Comparison

How exactly do vibe coding and VibeGTM stack up against each other? Let’s compare these two AI-driven approaches across key dimensions:

As the comparison above shows, vibe coding and VibeGTM both empower users to achieve more with less effort – but they do so in different arenas. Vibe coding tackles the technical complexity of software creation, while VibeGTM addresses the operational complexity of scaling pipeline and sales outreach. Each lowers the barrier to entry in its field: you no longer need to be a veteran programmer to build a web app, and you no longer need a 20-person sales team to reach thousands of qualified prospects.

Importantly, both still benefit from human insight at the right moments. AI isn’t magically omniscient – a developer still must verify critical code, and a sales leader still sets the overall campaign strategy and ensures the messaging aligns with brand tone. But the time and effort saved are enormous. In software, this means more experiments and faster innovation. In GTM, it means more customer conversations and a fuller sales funnel without proportional headcount growth.

To illustrate, consider a telecom company using Landbase’s VibeGTM: traditionally, their sales team might spend weeks preparing outreach for a new product launch – compiling lists of businesses expanding to new locations, drafting emails about upgrading network services, ensuring compliance with telecom regulations. With Landbase, the AI can instantly identify, say, all multi-location businesses in the region that are growing (using real-time data signals), draft a tailored pitch about reliable connectivity for expansion, and ensure every message meets telecom compliance standards automatically. One Landbase telecom client added $400,000 in monthly recurring revenue during a slow season by having the AI find “hidden pockets of demand” and engage them at scale – something their human team alone struggled to do in that timeframe. This is the power of VibeGTM in action.

Meanwhile, software teams embracing vibe coding have similarly reported double-digit productivity boosts. A survey by HubSpot found that 47% of sales professionals (who often have to script emails or write reports) are already using generative AI tools like ChatGPT to help draft content – essentially a form of “vibe writing” – and 52% use AI to analyze data for decisions. Developers are doing the same with code: relying on AI for boilerplate allows them to focus on creative problem-solving. The trend is clear across industries: routine content generation (whether code or emails) is being offloaded to AI so humans can concentrate on strategy and relationships. In the next section, we’ll dive deeper into the specific pain points in GTM that VibeGTM solves, and how Landbase’s approach uniquely addresses them by building on the lessons from vibe coding.

Solving GTM Challenges with VibeGTM (Inspired by Vibe Coding’s Success)

Implementing a go-to-market strategy has historically been a resource-intensive endeavor. Let’s face it: traditional GTM execution is rife with challenges that drain time and money. This is precisely why an AI-driven solution like VibeGTM is so game-changing – it directly tackles these pain points. Many of the breakthroughs that made vibe coding appealing (automation of tedious tasks, real-time suggestions, learning from feedback) are now being applied to solve long-standing GTM headaches. Here are some key GTM challenges and how Landbase’s VibeGTM approach provides a solution:

Fragmented tools and data silos: Modern sales teams often juggle a patchwork of tools – a CRM for contacts, an email platform for outreach, LinkedIn for social selling, separate databases for leads, etc. Data ends up siloed, and reps waste time switching contexts. This fragmentation makes it hard to coordinate campaigns or get a unified view of what’s working. Landbase’s Solution: A single, unified AI platform that consolidates data and workflow. Landbase’s GTM-1 Omni acts as the central brain that integrates prospect data, engagement history, and campaign analytics. By replacing a “scatter” of point solutions with one intelligent system, Landbase ensures nothing falls through the cracks. Just as vibe coding tools integrate into your coding environment to provide on-the-fly help, Landbase’s platform integrates formerly disparate GTM functions into one seamless experience. The AI can then optimize holistically – for example, if email responses are low but LinkedIn messages get replies, the system shifts focus accordingly, something a human might miss if tools are disconnected. The result is a streamlined process where all moving parts of a campaign are orchestrated together. No more exporting lists from one system to import into another or manually reconciling metrics – the AI sees and manages the whole funnel in one place.

Time-intensive manual outreach: Prospecting and outreach can feel like a grind. Sales development reps (SDRs) might spend 70% of their day researching contacts, writing cold emails, and following up – leaving only a sliver of time for actual selling or learning about customers. This manual workload limits how many prospects a team can touch and slows down pipeline generation. Landbase’s Solution: Automation of repetitive tasks and 24/7 productivity. Landbase’s agentic AI essentially operates as an always-on SDR team that never sleeps. It can scour databases and the web to discover new leads, automatically generate personalized outreach, and send follow-ups at optimal times, all without human intervention. Early adopters of this AI outreach saw huge efficiency gains – one report noted Landbase’s system enabled companies to launch a full outbound program “in minutes rather than months”. In fact, Landbase estimates that using their platform can reduce the cost and effort of scaling a sales pipeline by 60–70% compared to hiring a traditional SDR team and piecemeal tools. Just as vibe coding saves developers from typing boilerplate code so they can focus on creative design, VibeGTM saves sales teams from drudgery (like piecing together lead info or writing yet another intro email) so they can focus on high-level strategy and closing deals. The AI handles the busywork of outreach at machine speed, sending potentially thousands of personalized touchpoints across multiple channels in the time it would take a human to manually send one batch of emails.

Low conversion from generic campaigns: “Spray and pray” emails and untargeted cold calls typically yield dismal results – prospects ignore messages that don’t speak to their needs. Many companies have seen their mass email campaigns lost in the noise, with meager reply rates and poor ROI. The problem is lack of personalization and relevance at scale; human teams often can’t customize every message deeply when contacting hundreds of leads. Landbase’s Solution: Hyper-personalization and continuous optimization using AI. This is where a domain-trained AI truly shines. Landbase’s model analyzes each prospect’s context (industry, role, company news, etc.) and tailors messaging accordingly. It’s trained on a vast dataset of what works – over 40 million sales email samples – so it crafts outreach with proven best practices for conversion. During early tests, this led to up to 7x better conversion rates versus standard one-size-fits-all emails. Think of it as the GTM equivalent of an AI coder knowing the optimal algorithm: the AI knows the optimal pitch for a given prospect. Moreover, Landbase employs a feedback loop akin to how vibe coding tools learn from user corrections. The platform tracks responses in real time and auto-tunes the campaign – if certain messaging resonates more or certain subject lines get better open rates, the AI adapts on the fly. This continuous learning is a hallmark of “agentic AI”: it not only executes tasks but also learns and improves from results. Humans alone would struggle to A/B test and iterate so rapidly at scale. Landbase’s AI essentially personalizes and optimizes every step automatically, ensuring each prospect interaction is as effective as possible. The outcome is significantly higher engagement and ROI from outreach efforts.

Scaling pipeline is costly and slow: If a company wants to dramatically increase its sales pipeline, the traditional playbook is to hire more SDRs, subscribe to more data services, and invest in more tooling – an approach that is expensive and can take months to ramp up. Hiring and training reps, for instance, might take 3-6 months before they are fully productive, and even then, their capacity is limited by working hours. Landbase’s Solution: On-demand scalability with AI at a fraction of the cost. Landbase offers what is essentially a scalable “AI SDR team” in the cloud. Need to double your outreach volume for a new product launch? Simply instruct the platform, and it can double the campaign outputs – no new hires required. Landbase has reported that companies using its platform can scale outreach at ~60% lower cost than scaling with human teams and traditional tools. This is because the AI handles more accounts simultaneously than a human ever could, and it doesn’t need benefits, office space, or sleep. One company executive described this as compressing a process that took months into minutes. In practical terms, a business can enter a new market or segment much faster. For example, a managed services provider (MSP) could traditionally only target a handful of industries at once due to limited sales staff. With Landbase, that MSP can launch tailored campaigns to multiple verticals in parallel – e.g., one campaign aimed at healthcare companies emphasizing compliance support, and another aimed at tech startups emphasizing agility – all driven by the same AI platform concurrently. This agility was unheard of before agentic AI. As a bonus, because the platform is subscription-based, companies move from high fixed labor costs to more flexible costs that scale with usage, improving efficiency. In one case, after implementing Landbase, a tech startup was able to significantly shorten its sales cycle by letting the AI rapidly zero in on the right audience and message, something that took them much longer before.

Knowledge and expertise gaps: Not every organization has top-tier sales ops experts or data scientists to optimize their go-to-market. A mid-sized commercial real estate firm, for instance, might not know the best practices to find tenants in a new market or what messaging yields responses from CFOs looking for office space. Similarly, an industrial supplier may not be adept at using intent data to time their outreach. Landbase’s Solution: Built-in expertise and best practices encoded in AI. Landbase’s agentic AI was developed by training on best-in-class sales workflows and copy – including input from veteran SDRs and marketing experts. It’s as if Landbase took the collective wisdom of dozens of high-performing sales teams and made it available on-demand through the platform. This means even a small team can execute like a seasoned pro. The AI “knows” which job titles are key decision-makers in different industries, what value propositions resonate in, say, telecom vs. finance, and even the optimal time of day to send an email to a VP-level contact. For example, Landbase’s knowledge graph and models understand that in telecom deals, emphasizing reliability and compliance is critical, whereas in commercial real estate outreach, referencing local market trends or expansion news might grab attention. The AI will automatically incorporate such insights. This flattens the learning curve for users – you don’t need a PhD in marketing to benefit; the AI provides suggestions and content that have a high likelihood of success out-of-the-box. In vibe coding terms, it’s like having an AI that already knows all common design patterns and pitfalls, so even a novice coder can produce decent software with its guidance. With Landbase, even a novice in GTM can run a solid campaign, because the agentic AI acts as an expert coach and executor in one. Moreover, Landbase’s team continues to update the AI (via their Applied AI Lab and continuous learning from all client campaigns), ensuring that the latest tactics and market shifts are reflected. This is crucial in fast-changing markets where what worked last quarter might not work now – the AI adapts faster than human training cycles.

In summary, VibeGTM directly addresses the pain points that have long frustrated sales and marketing professionals, using the same playbook that made vibe coding successful: automate the tedious stuff, augment human skill with AI insights, and iterate quickly based on data. The result is a solution-oriented, confident approach to GTM. Instead of being mired in operational logistics, teams can proactively strategize and engage with prospects who matter, leaving the rest to AI.

For professionals in industries like telecom, commercial real estate (CRE), and managed services, this is especially powerful. These sectors often involve complex B2B sales with long cycles and timing is everything – missing a single market trigger (like a company relocating offices, or a telecom client expanding infrastructure) can mean a lost deal. Landbase’s VibeGTM ensures you never miss a beat in the market. As soon as a relevant signal appears (e.g., a firm raises a new funding round or a tenant’s lease is up for renewal), the AI can pounce on it with tailored outreach, far faster than a human team could react. In a world where 76% of salespeople agree that by 2030 most people will use some form of AI or automation in their job(5), those who leverage VibeGTM will clearly have an edge in efficiency and effectiveness.

The Technology Behind the Scenes: How Vibe Coding and VibeGTM Leverage AI Differently

While vibe coding and VibeGTM share a vision of AI-driven ease, the underlying technologies are tuned to their respective domains. Understanding these differences can help decision-makers appreciate why a specialized platform like Landbase is needed for GTM, rather than trying to use a generic AI assistant.

Vibe coding’s tech stack: At the heart of vibe coding are large language models (LLMs) specialized in programming. Models like OpenAI’s Codex (which powers GitHub Copilot) and others (e.g., those behind Replit’s Ghostwriter or Cursor) have been trained on billions of lines of source code from public repositories. They effectively predict code given some context (like code that was already written, plus a developer’s prompt). Modern coding assistants also incorporate voice recognition (Karpathy mentions using voice input with “SuperWhisper” to talk to the AI and integrate with development environments to read the developer’s entire codebase for context. There’s also an element of agent behavior emerging – for example, if the code doesn’t compile, the assistant can read the error and automatically attempt a fix, looping until tests pass. This starts to resemble an “agentic” approach, but generally these tools are not fully autonomous; they react to the developer’s prompts or corrections. Importantly, vibe coding tools prioritize not breaking the flow: they give real-time suggestions as you code or converse, with the goal that the human can keep “in the zone” of creativity. The success of vibe coding thus far has relied on LLMs that are generalists in code (able to work across languages and frameworks), paired with a tight user interface loop that makes interacting with the AI quick and intuitive (e.g., hitting tab to accept a suggestion, or asking a question in natural language). As these models improve and perhaps incorporate more reinforcement learning from how developers use them, we might see even more autonomous coding agents. But currently, the developer is the orchestrator, and the AI is the savvy assistant.

VibeGTM’s tech stack (Landbase’s approach): Landbase’s GTM-1 Omni is a purpose-built AI specifically for go-to-market tasks, and this specialization is its strength. Instead of a single large model trying to do everything, Omni combines multiple AI components each optimized for a facet of the GTM process. According to Landbase, it integrates three types of AI capabilities into one system:

Predictive models – to analyze data signals and predict which prospects are likely to convert or which actions will yield the best results. For instance, predictive algorithms score leads based on thousands of intent signals (funding events, job postings, website visits, etc.) to prioritize outreach.

Generative models – to create content (emails, LinkedIn messages, call scripts) tailored to each situation. This includes natural language generation fine-tuned on successful sales communications. It’s not just general GPT-4 writing an email; it’s an AI trained on what a high-performing SDR would write when reaching out to, say, a VP of Finance in the SaaS industry, including appropriate terminology and pain points.

Action models – to execute tasks across systems, meaning the AI can actually send emails, schedule calendar invites, update CRM entries, etc., via API integrations, without needing a human to press the button. This is where agentic AI comes in – the system can act autonomously in digital environments (email servers, CRM, social networks) to carry out the steps of the campaign.

These components are orchestrated by an agentic framework that understands objectives, not just instructions. As Landbase’s team explains, unlike a typical AI assistant that only responds to direct prompts (“write an email about X”), an agentic AI can take a higher-level goal (“generate pipeline in healthcare sector”) and break it down into sub-tasks – identify healthcare companies, find relevant contacts, craft messages, send, follow-up, and so on – adjusting along the way. This is analogous to having an AI project manager combined with AI workers for each task. Under the hood, Landbase’s platform is also powered by a massive proprietary dataset: a knowledge graph of over 220 million contacts and 40 million sales interactions feeds the AI’s understanding of business relationships and language. This is a stark contrast to generic models like ChatGPT which, while trained on a broad swath of the internet, don’t have up-to-date or deep proprietary sales data and often have to be manually given context about a company or market. Landbase’s system already knows a lot about a given industry or account from its data, so it can proactively use that context in campaigns.

Another key tech difference is continuous learning and optimization. Landbase’s agentic AI doesn’t stop at sending messages – it monitors what happens next (did the prospect open the email? click a link? reply with interest? ignore it?) and feeds that outcome back into its models to learn and improve. It’s akin to how a self-driving car AI learns from each mile driven. Over time, the system becomes more and more effective for each user and in each domain. Traditional vibe coding assistants also learn (e.g., Copilot refines suggestions based on your codebase), but the learning is narrower (mainly about code style, not outcomes in the world). Landbase’s AI is learning what business strategies bear fruit.

For decision-makers, the implication is that while a general AI like GPT-4 could theoretically write a sales email if prompted, it’s not enough to run a full VibeGTM motion. Landbase’s technology advantage lies in integrating the full stack of GTM tasks with an AI that has domain expertise and can take actions autonomously. This is not trivial to build from scratch. It’s why Landbase, founded in 2024 by experienced entrepreneurs (Daniel Saks, co-founder of AppDirect), invested in being the first mover with an agentic GTM model – carving out a technological lead that is hard for others to replicate quickly. They effectively built a vertical AI solution, whereas vibe coding largely leverages horizontal AI tools.

From a strategic standpoint, using Landbase’s VibeGTM is more comparable to hiring an AI-powered consultancy than using a simple tool. It’s a holistic system. This is reflected in how Landbase goes to market as well – they have an Agentic AI Lab to keep advancing the tech and even an agency network to help clients succeed with the platform(1). They recognize that technology adoption in GTM isn’t just plug-and-play; often some change management and expertise helps. This is different from vibe coding tools, which are usually self-serve and purely product-led (developers just install a plugin). The extra layer of support Landbase provides (blending human expertise and AI, as they emphasize) indicates that VibeGTM technology, while powerful, is deployed in partnership with businesses to reshape their processes, not just as a casual assistant.

In short, vibe coding and VibeGTM both use cutting-edge AI, but one size does not fit all. Vibe coding rides on the coattails of general LLMs trained on code and is delivered as lightweight tools for devs. VibeGTM runs on a purpose-built, multi-agent AI ensemble trained on sales data and is delivered as an enterprise-grade platform. For companies evaluating solutions, understanding this difference is key. If you try to use a generic chatbot to do your GTM, you’ll likely hit a ceiling – it won’t know your context deeply, and it can’t take autonomous actions safely. Landbase’s VibeGTM, on the other hand, was engineered to be your GTM co-pilot from day one, with guardrails, data, and integrations needed for real business use.

Embracing the Vibe: How to Leverage Vibe Coding and VibeGTM in Your Business

By now, it’s clear that both vibe coding and VibeGTM represent a significant shift in how work gets done – shifting many tasks from humans to AI, and freeing up humans to do higher-value thinking. The question for business leaders and professionals is: How can we practically embrace these trends to stay ahead?

1. Start with a pilot in a low-risk area. Whether it’s coding or GTM, a prudent first step is to experiment. For vibe coding, this might mean allowing your software team to use AI assistants on an internal tool or non-critical project to get familiar with the workflow. For VibeGTM, you could identify a particular campaign or segment that’s not core to your revenue and let Landbase’s AI run with it as a trial. Treat it as an A/B test: AI-driven campaign vs. your normal process. Early pilots often build confidence. For example, one sales team might test Landbase on a dormant lead list that hadn’t been touched in a year – if the AI manages to revive some of those leads with clever emails, that’s immediate proof of value. Keep the scope defined, measure results, and iterate. Many companies find that initial successes make it easier to get buy-in for broader AI adoption.

2. Educate and involve your team. A common misconception is that AI will replace humans wholesale. In reality – and this has been echoed by early vibe coding practitioners – the best outcomes come when humans collaborate with AI, not just turn it on blindly. Make sure your team understands that vibe coding or VibeGTM are tools to enhance their capabilities, not threats to their jobs. Involve your sales reps in the process of refining AI-generated content; their feedback about message tone or customer pain points will train the AI to be even better for your specific context. Similarly, developers should review and learn from AI-written code – it can actually be a learning opportunity to see how the AI approaches problems. By fostering a mindset of AI as a teammate, you’ll reduce resistance and get more value. At Landbase’s clients, for instance, SDRs who initially feared being replaced ended up appreciating that the AI took over the drudgery, allowing them to focus on live conversations where their skills shine. It’s worth noting that 97% of business owners believe ChatGPT (and by extension AI tools) will help their business, but employees need to see it helping them personally. So highlight wins like, “AI saved you 5 hours this week – now you can spend that time closing deals or building client relationships.”

3. Leverage data – yours and external – to maximize AI effectiveness. VibeGTM works best when it has rich data to chew on. Internally, integrate your CRM and marketing data with the platform so it learns from your history (Landbase can use a company’s past email performance, for example, to tailor its model). Externally, take advantage of the data Landbase provides (their massive B2B contact database and intent signals). A telecom firm might feed in its customer profiles and let the AI find lookalikes in Landbase’s database, using criteria a human might not think of. The more the AI knows, the better the vibes it can operate on. For vibe coding, feeding your codebase or style guides to the AI can help it align with your standards – for instance, tools allow you to provide example code or tests so the AI writes code that passes them. Essentially, don’t treat these AI solutions as black boxes; treat them as adaptive systems that you can train with the right data for superior results. Landbase’s platform, for one, allows customization and learning based on your feedback – utilize that by consistently tagging what a “good” vs “bad” lead or email looks like for you, so the AI gets smarter in targeting and messaging.

4. Monitor, measure, and maintain oversight. Even after you adopt VibeGTM, keep humans in the loop for oversight, especially in the initial stages. This is not because the AI is likely to go rogue, but because nuances in business (or code) sometimes require a judgment call. For sales, ensure someone reviews the AI’s messaging periodically for brand alignment and checks that the campaign outcomes align with quality leads (not just quantity). You might set up a dashboard to track open rates, reply rates, conversion rates of AI-led campaigns vs. historical benchmarks – Landbase’s analytics can help with that. If something seems off (e.g., a particular sequence underperforming), the team can adjust parameters or provide feedback to the AI. Essentially, treat the AI as an apprentice – capable of doing a lot, but still benefiting from mentorship. Over time, as trust builds and the AI consistently meets or exceeds targets, you can dial back the level of human review. Many Landbase customers find that after a few months, the AI’s suggestions are so on-point that they rarely need to edit outreach content – they shift to focusing on the increase in meetings and deals coming from the campaigns. Similarly, developers who use vibe coding tools often start by double-checking every AI-generated line, but soon learn to trust the AI for routine tasks and only deeply review the critical logic. The goal is a calibrated balance where human oversight is there, but not a bottleneck.

5. Address compliance and ethics proactively. With AI taking on actions like sending emails or generating content, ensure you have guidelines to prevent any mishaps. Landbase’s system has built-in compliance checks (for opt-outs, regional regulations like GDPR, etc.) – make sure those are configured for your needs. For example, a commercial real estate outreach might need to avoid certain statements that could be seen as investment advice; those should be communicated to the Landbase team so the AI can be tuned accordingly. In vibe coding, if your company has policies on open-source licensing or code security, ensure the AI suggestions are vetted for compliance with those (e.g., avoid copying large chunks of code from unknown sources). The good news is that AI can actually enhance compliance – Landbase’s AI, for instance, automatically manages opt-out lists and respects communication preferences, reducing the risk of human error in sending an email to someone who unsubscribed. It even keeps messaging on-script to avoid unapproved claims. But it’s important to set these guardrails early. Engage your legal or compliance team in reviewing the AI’s approach. This builds confidence that AI isn’t a wildcard but a controlled, strategic asset.

By following the above steps, organizations in telecom, CRE, managed services, and beyond can gradually and successfully integrate both vibe coding and VibeGTM into their operations. The benefits – from faster time-to-market, to cost savings, to higher conversion rates – are too significant to ignore. As one study highlighted, 81% of sales teams are either experimenting with or fully using AI in some capacity already(4). Those who haven’t started risk falling behind competitors who can engage customers faster and more effectively with AI’s help. The same goes for software development: teams not leveraging AI may struggle to match the rapid iteration and output of those that do.

The era of AI-augmented work is here. The “vibe” revolution, whether in coding or go-to-market, is all about reclaiming our time and focusing on what humans do best – creativity, strategy, relationship-building – while delegating the rest to capable AI agents. As Andrej Karpathy humorously noted, vibe coding can feel like you “barely even touch the keyboard” and just let ideas flow(3). Landbase’s vision for VibeGTM is analogous: you barely have to touch the tedious parts of GTM execution, you just set the direction and watch pipeline flow. Companies that embrace this mindset stand to unlock unprecedented efficiency and agility.

Conclusion: Embrace the VibeGTM Revolution in GTM Strategy

Both vibe coding and VibeGTM highlight a transformative truth: when humans and AI collaborate, the sum is far greater than the parts. Developers have learned that by embracing AI “co-pilots,” they can ship software faster and focus on innovation. Now, sales and marketing leaders are discovering that by harnessing an agentic AI like Landbase’s VibeGTM, they can supercharge their go-to-market execution and focus on strategic growth initiatives rather than manual toil.

For professionals in telecom, commercial real estate, managed services, or any sector that runs on B2B relationships, the message is clear: Don’t get left behind in the AI-driven GTM wave. Early adopters are already seeing outsized gains – more leads, faster deal cycles, and lower costs. The comparison between vibe coding and VibeGTM isn’t just academic; it’s a roadmap for how work is evolving. Just as writing code by hand is giving way to guiding code with AI, the days of building pipeline solely through human effort are numbered. The future of GTM is agentic, intelligent, and incredibly efficient.

Landbase, with its first-of-its-kind agentic AI platform for GTM, is positioning itself as the category leader in this new era of go-to-market. The company not only provides powerful technology but has demonstrated a commitment to customer success (through its AI lab, support network, and continuous innovation)(1). This means when you partner with Landbase, you’re not just buying software – you’re gaining a cutting-edge AI team member that’s constantly improving and working tirelessly for your revenue goals.

Ready to experience the power of VibeGTM for yourself? Now is the time to take action. Start by exploring how Landbase’s agentic AI platform can fit into your organization’s GTM strategy. Consider running a pilot campaign and see the results firsthand – the numbers and ROI will speak louder than any words. As the saying goes, the best way to predict the future is to create it. By adopting VibeGTM, you’re not only predicting the future of sales and marketing – you’re actively creating a future where your go-to-market engine is smarter, faster, and more adaptable than ever before.

Embrace the VibeGTM revolution and put your go-to-market on autopilot. Landbase is here to help you lead this change, with confidence, as a true category leader in AI-powered GTM. Don’t work for your software – let your software work for you, so you can reclaim your day and do more of what you love. It’s time to let AI set the vibe for unprecedented growth.

[salesforceconsultant]

Hire Salesforce Developers for Seamless CRM Solutions 

Hire Salesforce Developer to streamline your CRM processes with tailored Salesforce solutions. Leverage the expertise of certified professionals to build, customize, and optimize your Salesforce environment. Whether you need assistance with development, integration, or support, experienced developers ensure scalable and efficient outcomes. Drive business growth by implementing solutions aligned with your goals, ensuring improved productivity and customer satisfaction. Unlock the full potential of Salesforce with reliable and skilled developers committed to delivering excellence. 

[fitzinabox]

Connect, Automate, and Simplify: How AiSentr Works With the Tools You Already Use

AI That Fits Into Your Workflow

Every business has a tech stack. It might include Slack for internal communication, Microsoft Teams for collaboration, Gmail or Outlook for email, and WhatsApp for client outreach. These tools are essential, but they don’t always talk to each other — and that’s where bottlenecks begin. Add in the growing amount of business-critical data living in places like Google Drive, SharePoint, Notion, or Salesforce, and it becomes clear that simply “using tools” isn’t enough anymore. To stay efficient, responsive, and competitive, businesses need a way to connect it all — and make it work smarter.

AiSentr was built to meet this exact need. It integrates directly into your existing systems, letting your team continue using the apps they already know and love while tapping into the power of AI behind the scenes. That means no data migration, no steep learning curve, and no disruption to your workflow. Whether you’re retrieving a document in OneDrive, checking CRM activity in Hubspot, or managing messages in Outlook, AiSentr provides a unified layer of intelligence that enhances rather than replaces.

No Code. No Complexity. No Catch.

Traditional AI solutions are powerful, but they’re often locked behind complex implementation processes. They require development resources, data engineering teams, and weeks — or even months — of setup time. For small and medium-sized businesses, that’s just not realistic. AiSentr removes that barrier entirely.

Our platform is 100% no-code. If you can use a form builder or drag-and-drop interface, you can use AiSentr. You don’t need to worry about APIs, data schemas, or scripts. You can train AI agents to understand your workflows, interact with customers, summarize reports, or generate answers using your company’s own documents — all without writing a single line of code. It’s AI built for people, not just programmers.

And because you’re working with your real data — messy, unstructured, and stored in multiple places — AiSentr is designed to handle it. Whether it’s PDFs in Google Drive, Excel sheets in SharePoint, or wikis in Confluence, our platform pulls insights directly from where your data already lives. There’s no need to clean or reformat anything first.

Agent-Based AI That Adapts

The real magic behind AiSentr lies in our agentic architecture. Rather than giving you a single chatbot with canned responses, AiSentr provides intelligent, task-oriented agents that understand context, take initiative, and collaborate with your team. These aren’t one-size-fits-all bots. They’re adaptive tools that respond to your specific business needs in real time.

An agent might handle customer inquiries coming through WhatsApp, pulling relevant answers from your documentation stored in Notion or Confluence. Another might monitor a shared Gmail inbox and route leads directly into Salesforce or Dynamics. Yet another could summarize a conversation in Slack and push action items to your project tracker. This isn’t science fiction — it’s a new way of working, and it’s already happening inside businesses using AiSentr.

These agents don’t require ongoing manual input. Once they’re set up, they continue to learn and improve over time. And because they’re designed around real-world business use cases, they operate with purpose — not just personality.

Security and Privacy Come Standard

When you’re dealing with internal documents, customer data, and private conversations, security isn’t optional — it’s mission-critical. AiSentr was built with a privacy-first architecture from day one. You remain in full control of your data, and nothing is passed to external AI models without your permission.

We’ve also designed AiSentr to work within your existing security framework. Whether your company is bound by GDPR, HIPAA, or internal compliance protocols, our system is designed to meet your requirements while giving you transparency into how data is accessed and used. You shouldn’t have to choose between smart and secure — with AiSentr, you get both.

A Platform for Real Businesses

What sets AiSentr apart isn’t just the technology — it’s the mindset. We don’t believe AI should be an elite tool used only by companies with large IT departments and deep budgets. We built AiSentr to level the playing field. Whether you’re a growing startup, a local service business, or an established mid-size team, our goal is to make automation, conversation, and intelligent action something everyone can access — without needing a technical background.

You don’t need to rip out your existing systems. You don’t need to spend six figures. You don’t need to wait six months. With AiSentr, you can start today — with the tools you already use and the data you already have.

Smarter Tools Without Smarter Headaches

AI should feel like an upgrade, not a burden. AiSentr helps you move faster, respond better, and stay focused on the work that matters most — not on figuring out how to stitch all your software together. By combining simplicity, privacy, and adaptability, AiSentr makes the future of AI accessible right now.

If your team is ready to work smarter — without working harder — it starts here.Learn more at www.aisentr.com   https://www.aisentr.com/

[codesandprogramms]

What Can Be Built Using Salesforce Development?

Are you a business that’s on the quest to render exceptional customer experience with a streamlined operation and data-driven decision-making? Well, Salesforce can help you steer ahead of the competition in the fast-paced business world. This reputed customer relationship management platform (CRM) is the go-to solution for attaining your goals.

Hire dedicated salesforce developer and explore the diverse possibilities of what can be built using their expertise. Read this article for more details.

Why Hire Salesforce Expert: The Wide Array of Solutions Available

Salesforce is a versatile and powerful web tool that assists businesses in developing a wide array of solutions that are tailored to the unique needs of your business and audience. Some of it’s common applications include:

Sales and marketing automation

By leveraging Salesforce, your business can automate the sales and marketing process. Some ways to do so are lead nurturing, customer segmentation, email campaigns, and many more all of which offer improved efficiency and higher conversion rates.

Custom CRM solutions

To hire salesforce expert is a widely regarded option for businesses due to its CRM capabilities. Salesforce development allows businesses to create bespoke CRM solutions that help manage leads, opportunities, networking, and customer interactions.  

E-commerce integration

The Salesforce e-commerce cloud extends a seamless integration with e-commerce platforms. Custom development offers your business an opportunity to craft personalized shopping experiences, analyze customer-driven data for real-time insights to drive e-commerce growth, and manage inventory. 

Service cloud applications

Businesses also prefer to hire dedicated Salesforce developer to deliver exceptional customer service. With the help of salesforce development, businesses have the option to customize the service cloud for creating self-service portals, automated case routing, and integrated AI-powered chatbots. 

Analytics and Reporting

Another reason to hire Salesforce programmer is the availability of robust analytical tools. Developers can create customized reports and dashboards based on the insights of user activity, preferences, behavior, operational efficiency, and sales performance. 

Concluding Remarks

Therefore, Salesforce development is a powerful and versatile tool with a plethora of possibilities available for various industries. To empower your business with customized solutions that drive growth, efficiency, and customer satisfaction hire a dedicated Salesforce developer today.

[tosca-automation-training]

How is TOSCA Better Than Selenium for Automation?

Introduction

In today’s fast-paced software development landscape, automation testing has become an integral part of ensuring application quality and faster releases. Two of the most prominent names in automation are TOSCA and Selenium. While Selenium has long been a popular open-source testing tool, TOSCA by Tricentis is steadily gaining traction due to its robust features, ease of use, and enterprise-level capabilities.

Whether you're a manual tester transitioning into automation or a developer looking to streamline test automation, understanding the benefits of TOSCA over Selenium can be a game-changer for your career. Enrolling in a TOSCA Training Online, a well-structured TOSCA Automation Course Online, or earning a TOSCA Automation Certification can give you a competitive edge in the job market.

In this comprehensive blog, we will explore how TOSCA stands out against Selenium and why it might be the better choice for your automation testing needs.

What is TOSCA?

TOSCA (Test Orchestration and Software Configuration Architecture) is a continuous testing tool developed by Tricentis. It supports end-to-end testing and is known for its scriptless approach, integration capabilities, and support for multiple platforms including web, desktop, API, and mobile applications.

What is Selenium?

Selenium is an open-source test automation framework widely used for automating web applications. It supports multiple programming languages like Java, Python, and C#. Selenium WebDriver is its most widely used component for browser automation.

Why Compare TOSCA and Selenium?

Both tools serve the purpose of automation but differ in their approach, usability, and features. Choosing the right tool depends on factors like project requirements, team skills, application type, and maintenance scope.

TOSCA vs Selenium: Feature-by-Feature Comparison

1. Ease of Use

TOSCA:

No scripting required. It uses a model-based testing approach.

Business users or non-programmers can create and manage tests.

Intuitive UI with drag-and-drop functionality.

Selenium:

Requires strong programming knowledge.

Testers must write and maintain test scripts.

No centralized interface; users depend on third-party tools like TestNG, Maven, etc.

Winner: TOSCA

2. Script Maintenance

TOSCA:

Centralized test management reduces duplication.

Easy to maintain due to modular and reusable test cases.

Selenium:

High maintenance overhead.

Any UI change may require significant script adjustments.

Winner: TOSCA

3. Test Case Design and Reusability

TOSCA:

Offers model-based testing which allows reuse of components.

Provides data-driven and risk-based testing.

Selenium:

Lacks built-in support for reusability.

Requires writing extra code for data-driven frameworks.

Winner: TOSCA

4. Platform Support

TOSCA:

Supports web, desktop, mobile, API, SAP, Salesforce, and more.

Selenium:

Primarily supports web applications only.

Winner: TOSCA

5. Integration Capabilities

TOSCA:

Seamlessly integrates with Jenkins, JIRA, Git, qTest, and other tools.

Built-in support for CI/CD pipelines.

Selenium:

Integrations are possible but require setup and custom code.

Winner: TOSCA

6. Reporting and Analytics

TOSCA:

Provides detailed reports and dashboards out of the box.

Selenium:

No native reporting. Must use additional libraries like ExtentReports or Allure.

Winner: TOSCA

7. Learning Curve

TOSCA:

Easy for beginners due to its no-code approach.

Faster adoption within teams.

Selenium:

Steeper learning curve due to programming requirements.

Winner: TOSCA

8. License and Cost

TOSCA:

Commercial tool with licensing costs.

Selenium:

Open-source and free.

Winner: Selenium (for cost-conscious teams)

Real-World Use Cases: TOSCA in Action

Case Study 1: Banking Sector

A major bank reduced its regression testing time by 70% after switching from Selenium to TOSCA. The switch allowed them to automate mainframe and API tests along with web applications.

Case Study 2: Healthcare Industry

A healthcare provider implemented TOSCA to meet compliance requirements by generating automated audit trails. Selenium lacked the required documentation features.

Case Study 3: E-commerce

An e-commerce giant accelerated its release cycle using TOSCA's CI/CD support, reducing testing bottlenecks that previously occurred with Selenium.

Practical Walkthrough: Creating a Test Case in TOSCA

Step 1: Launch TOSCA Commander

Open the TOSCA Commander interface.

Step 2: Create a Module

Identify elements of the application under test using the TOSCA Scanner.

Step 3: Build a Test Case

Drag-and-drop modules into the test case section and define inputs.

Step 4: Parameterize Data

Use TestCase-Design to input multiple data values.

Step 5: Run the Test

Execute tests via the ExecutionList. Monitor logs in real-time.

Step 6: Review Results

Check detailed execution logs and dashboards in TOSCA Reports.

Common Misconceptions

"TOSCA is Only for Big Enterprises"

Not true. Small and mid-sized companies are increasingly adopting TOSCA for its scalability and ease of use.

"Selenium is Always the Better Choice Because It’s Free"

While cost is a factor, the long-term ROI with TOSCA can outweigh the initial investment due to reduced maintenance and faster testing.

Industry Demand and Career Scope

According to a report by MarketsandMarkets, the global automation testing market is projected to grow to USD 35 billion by 2028. Tools like TOSCA are at the forefront of this growth.

Many enterprises are transitioning to TOSCA due to its powerful features, which means demand for certified professionals is on the rise.

Completing a TOSCA Training Online or enrolling in a TOSCA Automation Course Online equips learners with the necessary skills to land high-paying roles like:

Test Automation Engineer

QA Consultant

Test Architect

DevOps Engineer

Key Takeaways

TOSCA outperforms Selenium in ease of use, maintenance, platform support, and integration.

TOSCA is ideal for enterprise-level applications needing robust, scalable automation.

While Selenium is free, TOSCA offers faster ROI through low maintenance and broader test coverage.

Getting TOSCA Automation Certification enhances your credibility and opens up better job opportunities.

Conclusion

TOSCA is rapidly emerging as the go-to tool for automation, especially for organizations looking to scale their testing with minimal maintenance and maximum efficiency. Its model-based testing, robust reporting, and seamless integrations make it a compelling alternative to Selenium.

If you're aiming to upgrade your skills and stay competitive in the QA industry, consider enrolling in a TOSCA Training Online or joining a certified TOSCA Automation Course Online. Getting a TOSCA Automation Certification could be the smartest career move you make this year.

Start your TOSCA journey today and transform your automation career!

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Top seven Voice of Customer (VoC) tools for 2025 - AI News

New Post has been published on https://thedigitalinsider.com/top-seven-voice-of-customer-voc-tools-for-2025-ai-news/

Top seven Voice of Customer (VoC) tools for 2025 - AI News

One of the powerful methods for enhancing customer experiences and building lasting relationships is through Voice of Customer (VoC) tools. These tools allow businesses to gather insights directly from their customers, helping them to improve services, products, and overall customer satisfaction.

What are voice of customer (VoC) tools?

VoC tools are specialised software applications designed to collect, analyse, and interpret customer feedback. Feedback can come from various sources, including surveys, social media, direct customer interactions, and product reviews. The primary goal of the tools is to build a comprehensive understanding of customer sentiment, pain points, and preferences.

VoC tools let organisations gather qualitative and quantitative data, translating the voice of their customers into actionable insights. By implementing these tools, businesses can achieve a deeper understanding of their customers, leading to informed decision-making and ultimately, enhanced customer loyalty.

Top 7 Voice of Customer (VoC) tools for 2025

Here are the top seven VoC tools to consider in 2025, each offering unique features and functions to help you capture the voice of your customers effectively:

1. Revuze

Revuze is an AI-driven VoC tool that focuses on extracting actionable insights from customer feedback, reviews, and surveys.

Key features:

Natural language processing to analyse open-ended responses.

Comprehensive reporting dashboards that highlight key themes.

The ability to benchmark against competitors.

Benefits: Revuze empowers businesses to turn large amounts of feedback into strategic insights, enhancing decision-making and customer engagement.

2. Satisfactory

Satisfactory is a user-friendly VoC tool that emphasises customer feedback collection through satisfaction surveys and interactive forms.

Key features:

Simple survey creation with customisable templates.

Live feedback tracking and reporting.

Integration with popular CRM systems like Salesforce.

Benefits: Satisfactory helps businesses quickly gather customer feedback, allowing for immediate action to improve customer satisfaction and experience.

3. GetFeedback

GetFeedback offers a streamlined platform for creating surveys and collecting customer insights, designed for usability across various industries.

Key features:

Easy drag-and-drop survey builder.

Real-time feedback collection via multiple channels.

Integration capabilities with other tools like Salesforce and HubSpot.

Benefits: GeTFEEDBACK provides actionable insights while ensuring an engaging experience for customers participating in surveys.

4. Chattermill

Chattermill focuses on analysing customer feedback through sophisticated AI and machine learning algorithms, turning unstructured data into actionable insights.

Key features:

Customer sentiment analysis across multiple data sources.

Automated reporting tools and dashboards.

Customisable alerts for key metrics and issues.

Benefits: Chattermill enables businesses to react quickly to customer feedback, enhancing their responsiveness and improving overall service quality.

5. Skeepers

Skeepers is designed for brands looking to amplify the customer voice by combining feedback gathering and brand advocacy functions.

Key features:

Comprehensive review management system.

Real-time customer jury feedback for products.

Customer advocacy programme integration.

Benefits: Skeepers helps brands transform customer insights into powerful endorsements, boosting brand reputation and fostering trust.

6. Medallia

Medallia is an established leader in the VoC space, providing an extensive platform for capturing feedback from various touchpoints throughout the customer journey.

Key features:

Robust analytics capabilities and AI-driven insights.

Multi-channel feedback collection, including mobile, web, and in-store.

Integration with existing systems for data flow.

Benefits: Medallia’s comprehensive suite offers valuable tools for organisations aiming to transform customer feedback into strategic opportunities.

7. InMoment

InMoment combines customer feedback across all channels, providing organisations with insights to enhance customer experience consistently.

Key features:

AI-powered analytics for deep insights and trends.

Multi-channel capabilities for collecting feedback.

Advanced reporting and visualisation tools.

Benefits: With InMoment, businesses can create a holistic view of the customer experience, driving improvements across the organisation.

Benefits of using VoC tools

Enhanced customer understanding: By capturing and analysing customer feedback, businesses gain insights into what customers truly want, their pain points, and overall satisfaction levels.

Improvement of products and services: VoC tools help organisations identify specific areas where products or services can be improved based on customer feedback, leading to increased satisfaction and loyalty.

Informed decision making: With access to real-time customer insights, organisations can make data-driven decisions, ensuring that strategies align with customer preferences.

Increased customer loyalty: When customers feel heard and valued, they are more likely to remain loyal to a brand, leading to repeat business and long-term growth.

Competitive advantage: Organisations that effectively use customer feedback can stay ahead of competitors by quickly adapting to market demands and trends.

Proactive issue resolution: VoC tools enable businesses to identify customer complaints early, allowing them to address issues proactively and improve overall customer satisfaction.

Enhanced employee engagement: A deep understanding of customer needs can help employees deliver better service, enhancing their engagement and job satisfaction.

How to choose VoC tools

Choosing the right VoC tool involves several considerations:

Define your goals: Before researching tools, clearly define what you want to achieve with VoC. Whether it’s improving product features, enhancing customer service, or understanding market trends, outlining your goals will help narrow your choices.

Assess your budget: VoC tools come with various pricing models. Determine your budget and evaluate the tools that provide the best value for your investment.

Evaluate features: Based on your goals, assess the features of each tool. Prioritise the features that align with your needs, like sentiment analysis, real-time reporting, or integration capabilities.

Check integration options: Ensure that the chosen VoC tool can easily integrate with your existing systems. Integration can save time and enhance the overall efficiency of data utilisation.

Look for scalability: As your business grows, your VoC needs may change. Choose a tool that can scale with your business and adapt to evolving customer insight demands.

Request demos and trials: Take advantage of free trials or request demos to see how the tools function in real-time. The experience can provide valuable information about usability and effectiveness.

Read reviews and case studies: Researching customer reviews, testimonials, and case studies can give you insights into how well the tool performs and its impact on businesses similar to yours.