#no code api integration

[xploreitcorp5]

How much do Java developers earn?

1. Introduction to Java Developer Salaries

What's the earning potential for Java developers? This is a hot topic for students, new grads, and folks looking to get into software development. With the growth of full stack dev, cloud tech, and enterprise software, Java remains essential. Salaries depend on location, experience, and skills. For students in Coimbatore studying Java, knowing what to expect in the industry is key. 

Key Points:

- Java developers are in demand across various fields.  

- Knowing Spring Boot and full stack skills can boost your pay.

2. Java Developer Salary for Freshers

So how much can freshers make? Entry-level Java developers in cities like Coimbatore usually earn between INR 3 to 5 LPA. Completing a Java Full Stack Developer course typically leads to better pay since it covers a wider skill set. Employers often look for hands-on experience, which is why doing Java mini projects or internships is important.  

Key Points:

- Fresh Java developers start around INR 3 LPA.  

- Getting certified in Java can help you land a job.

3. Experienced Java Developer Salaries

With 3-5 years under your belt, what can you expect? Salaries typically range from INR 6 to 12 LPA. Those who take a Java training course in Coimbatore often find they earn more. Companies want people with strong backend skills and experience with tools like Spring, Hibernate, or Microservices. 

Key Points:

- Mid-level Java developers can earn between INR 6 to 12 LPA.  

- Knowledge of Spring and REST APIs can increase your salary.

4. Senior Java Developer Salary

 InsightsFor those at a senior level with over 7 years of experience, earnings can start at INR 15 to 25 LPA. This varies based on company size and responsibilities, plus keeping up with new tech is crucial. Attending weekend Java classes or coaching sessions can help keep skills fresh.

Key Points:-

- Senior Java developers generally earn over INR 15 LPA.  

- Full stack skills can lead to higher pay.

5. Java Full Stack Developer Salaries

People who complete a Java Full Stack Developer Course in Coimbatore often snag higher-paying jobs. Full stack developers with skills in Java, React, and DevOps can earn about 20% more than those focused solely on Java. If you're curious about Java salaries, investing in full stack training is a smart move.  

Key Points:

- Full stack Java developers can earn about 20% more.  

- Having both frontend and backend knowledge is important.

6. Salary Trends in Coimbatore and Tier-2 Cities

In Coimbatore, students of Java courses often ask about earning potential. Starting salaries might be a bit lower than in metro areas, but there’s room for growth. Remote work options are now more common, allowing locals to earn metro-level salaries.  

Key Points:

- Java jobs in Coimbatore offer competitive pay.  

- Remote work opens doors to higher salaries.

7. Java Certification and Salary Growth

Getting certified can mean a 30-40% pay bump compared to non-certified peers. Following a structured Java course helps build strong skills. Recruiters appreciate learning paths and real-world experience from platforms offering Java programs.  

Key Points:

- Java certifications help boost your credibility.  

- Structured training can get you better job offers.

8. Demand for Java Developers in 2025

Looking ahead, there’s expected growth of 15% in Java jobs by 2025. More students are signing up for Java Full Stack Developer Courses in Coimbatore, and chances for freshers are expanding. Mastering Java basics through tutorials can help set you up for success.  

Key Points:

- Job openings for Java developers are on the rise.  

- Full stack training fits well with job market trends.

9. Java Developer Skills That Influence Salaries

Earnings for Java developers often depend on skills like Spring Boot, Microservices, REST APIs, and cloud integration. Regular practice with Java exercises, internships, and coaching can create a strong candidate.  

Key Points:

- Skills in demand directly impact salary.  

- Ongoing learning is vital for career growth.

10. Conclusion and Brand Mention

So how much do Java developers actually make? It varies, but with the right skills and certifications, Java can lead to a rewarding job. Whether you’re just starting out or looking to advance, getting good training is key. If you want to begin or progress in your career, check out Xplore It Corp for Java courses and training designed to help you succeed.  

Key Points:

- Look for recognized training programs.  

- Xplore It Corp can help you close skills and salary gaps.

FAQs

Q1. How much do Java developers earn after certification?

A certified Java developer can earn 30-40% more than non-certified ones.  

Q2. Are Full Stack Developer salaries higher?

Yes, full stack developers generally make 20-25% more due to their wider range of skills.  

Q3. Does location affect salaries?

Absolutely, metro cities tend to pay more, but remote jobs are helping close that gap in places like Coimbatore.  

Q4. Is a Java internship necessary?

Not strictly necessary, but internships can really enhance a resume, especially for those just starting out.  

Q5. What's the best way to learn Java step by step?

Join a structured course, like those from Xplore It Corp, and practice with Java tutorials and coding exercises.

[codingbrushup]

How to Use APIs in Your Web Development Projects

API integration for web development might sound intimidating at first, but it’s actually one of the coolest tools in your developer toolkit. You’ve probably heard the term “API” tossed around like candy in dev circles and wondered what all the buzz is about. Well, let’s clear the fog and walk through how you can start using APIs in your web projects — without frying your brain or your browser.

APIs are like digital bridges that help your site talk to other services, fetch data, and offer cool features you didn’t build from scratch. With a little practice and the right guide (hello, Coding Brushup!), API integration becomes an essential tool in your developer toolbox.

🧩What Are APIs and Why Should You Use Them?

An API (Application Programming Interface) is basically a set of rules that lets one program interact with another. When you use Google Maps on your site or pull data from weather apps, you’re using an API integration for web development.

You don’t need to build everything yourself when you can connect your site to reliable services through REST APIs. They handle the heavy lifting while you focus on creating an awesome user experience.

Using REST APIs in web projects helps you save time, reduce bugs, and offer dynamic content without hosting it all yourself.

🔐 Understanding API Authentication Methods

Before you start slinging data around, you’ll need to understand how to access APIs safely. That’s where API authentication methods come in.

Most APIs require some kind of security key, like an API token, OAuth 2.0, or a basic access token. Think of these like keys to a private club — you can’t get in without showing your credentials.

Some APIs let you start without a login (great for testing), but for most real-world usage, authentication is a must. And don’t worry — it’s not as scary as it sounds. Sites like Coding Brushup’s API tutorials make it super beginner-friendly.

📦 JSON and API Data Handling: The Magic Format

When you request data from an API, it often comes back in a format called JSON (JavaScript Object Notation). It’s lightweight, human-readable, and plays well with JavaScript — your new best friend in frontend API calls.

You’ll use JSON and API data handling skills to take that data and display it on your website in a user-friendly way. Want to show user comments from a third-party service? Fetch the data with JavaScript and populate your webpage with it. Magic.

Don’t forget — you can handle API data on the backend, too. Whether you’re using Node.js or Python, backend API calls let your server talk to other services securely and efficiently.

🚀 Putting It All Together: Frontend and Backend API Calls

Once you understand the basics, it’s time to use frontend and backend API calls together for seamless, full-stack magic. Your frontend might display live stock prices while your backend stores user preferences. Together, they create a rich, responsive experience for users.

Want to really stand out? Add APIs like Twitter feeds, weather forecasts, or payment gateways to your projects. API integration helps your web apps stay useful, modern, and engaging.

📘 Learn Faster with Coding Brushup

If you’re feeling excited but a little overwhelmed, don’t worry — you’re not alone. That’s exactly why Coding Brushup exists. Their API tutorials are designed to walk you through the basics step by step, with real code examples, video guides, and even mini-projects.

Whether you’re building your first app or adding advanced API features to a client site, Coding Brushup makes it feel doable — and even fun!

🏁 Final Thoughts

So there you have it. APIs aren’t scary monsters. They’re your backstage passes to powerful, data-rich, and interactive websites. Once you get the hang of API integration for web development, you’ll never want to go back to static pages again.

You just need to understand how APIs work, handle JSON data, use authentication methods, and write a few frontend or backend API calls. Piece of cake, right?

And hey, don’t forget — Coding Brushup has your back every step of the way. Happy coding!

[instantedownloads]

How to Use n8n and AI to Build an Automation System

Automation is changing how we work every day. It helps save time, reduce mistakes, and get more done with less effort. If you want to automate your tasks but don’t know where to start, this guide is for you. In this post, you will learn how to use n8n — a free, open-source automation tool — combined with AI to build smart workflows that do work for you. What Is n8n? n8n (pronounced…

[olivergisttv]

Smart Ways to Use API Integrations in Small Businesses

In today’s digital landscape, small businesses need to work smarter, not harder. API (Application Programming Interface) integrations allow businesses to connect different software tools, automate workflows, and improve efficiency—all without needing advanced technical knowledge. Whether you’re running an online store, managing customer relationships, or handling payments, APIs can transform your…

[cyberswift-story]

Leveraging AI in Salesforce Development

Artificial Intelligence (AI) is revolutionizing Salesforce development by infusing intelligence into traditional CRM processes. AI allows Salesforce to evolve from a static data management platform into a dynamic, insight-driven system that can predict, recommend, and automate key functions. With AI, Salesforce development is now more about building solutions that are not just reactive but proactive.

Know more at: https://www.cyberswift.com/blog/leveraging-ai-in-salesforce-development/

[intelliatech]

Top 10 ChatGPT Prompts For Software Developers

ChatGPT can do a lot more than just code creation and this blog post is going to be all about that. We have curated a list of ChatGPT prompts that will help software developers with their everyday tasks. ChatGPT can respond to questions and can compose codes making it a very helpful tool for software engineers.

While this AI tool can help developers with the entire SDLC (Software Development Lifecycle), it is important to understand how to use the prompts effectively for different needs.

Prompt engineering gives users accurate results. Since ChatGPT accepts prompts, we receive more precise answers. But a lot depends on how these prompts are formulated. 

To Get The Best Out Of ChatGPT, Your Prompts Should Be:

Clear and well-defined. The more detailed your prompts, the better suggestions you will receive from ChatGPT.

Specify the functionality and programming language. Not specifying what you exactly need might not give you the desired results.

Phrase your prompts in a natural language, as if asking someone for help. This will make ChatGPT understand your problem better and give more relevant outputs.

Avoid unnecessary information and ambiguity. Keep it not only to the point but also inclusive of all important details.

Top ChatGPT Prompts For Software Developers

Let’s quickly have a look at some of the best ChatGPT prompts to assist you with various stages of your Software development lifecycle.

1. For Practicing SQL Commands;

2. For Becoming A Programming Language Interpreter;

3. For Creating Regular Expressions Since They Help In Managing, Locating, And Matching Text.

4. For Generating Architectural Diagrams For Your Software Requirements.

Prompt Examples: I want you to act as a Graphviz DOT generator, an expert to create meaningful diagrams. The diagram should have at least n nodes (I specify n in my input by writing [n], 10 being the default value) and to be an accurate and complex representation of the given input. Each node is indexed by a number to reduce the size of the output, should not include any styling, and with layout=neato, overlap=false, node [shape=rectangle] as parameters. The code should be valid, bugless and returned on a single line, without any explanation. Provide a clear and organized diagram, the relationships between the nodes have to make sense for an expert of that input. My first diagram is: “The water cycle [8]”.  

5. For Solving Git Problems And Getting Guidance On Overcoming Them.

Prompt Examples: “Explain how to resolve this Git merge conflict: [conflict details].” 6. For Code generation- ChatGPT can help generate a code based on descriptions given by you. It can write pieces of codes based on the requirements given in the input. Prompt Examples: -Write a program/function to {explain functionality} in {programming language} -Create a code snippet for checking if a file exists in Python. -Create a function that merges two lists into a dictionary in JavaScript.  

7. For Code Review And Debugging: ChatGPT Can Review Your Code Snippet And Also Share Bugs.

Prompt Examples: -Here’s a C# code snippet. The function is supposed to return the maximum value from the given list, but it’s not returning the expected output. Can you identify the problem? [Enter your code here] -Can you help me debug this error message from my C# program: [error message] -Help me debug this Python script that processes a list of objects and suggests possible fixes. [Enter your code here]

8. For Knowing The Coding Best Practices And Principles: It Is Very Important To Be Updated With Industry’s Best Practices In Coding. This Helps To Maintain The Codebase When The Organization Grows.

Prompt Examples: -What are some common mistakes to avoid when writing code? -What are the best practices for security testing? -Show me best practices for writing {concept or function} in {programming language}.  

9. For Code Optimization: ChatGPT Can Help Optimize The Code And Enhance Its Readability And Performance To Make It Look More Efficient.

Prompt Examples: -Optimize the following {programming language} code which {explain the functioning}: {code snippet} -Suggest improvements to optimize this C# function: [code snippet] -What are some strategies for reducing memory usage and optimizing data structures? 

10. For Creating Boilerplate Code: ChatGPT Can Help In Boilerplate Code Generation.

Prompt Examples: -Create a basic Java Spring Boot application boilerplate code. -Create a basic Python class boilerplate code

11. For Bug Fixes: Using ChatGPT Helps Fixing The Bugs Thus Saving A Large Chunk Of Time In Software Development And Also Increasing Productivity.

Prompt Examples: -How do I fix the following {programming language} code which {explain the functioning}? {code snippet} -Can you generate a bug report? -Find bugs in the following JavaScript code: (enter code)  

12. Code Refactoring- ChatGPt Can Refactor The Code And Reduce Errors To Enhance Code Efficiency, Thus Making It Easier To Modify In The Future.

Prompt Examples –What are some techniques for refactoring code to improve code reuse and promote the use of design patterns? -I have duplicate code in my project. How can I refactor it to eliminate redundancy?  

13. For Choosing Deployment Strategies- ChatGPT Can Suggest Deployment Strategies Best Suited For A Particular Project And To Ensure That It Runs Smoothly.

Prompt Examples -What are the best deployment strategies for this software project? {explain the project} -What are the best practices for version control and release management?  

14. For Creating Unit Tests- ChatGPT Can Write Test Cases For You

Prompt Examples: -How does test-driven development help improve code quality? -What are some best practices for implementing test-driven development in a project? These were some prompt examples for you that we sourced on the basis of different requirements a developer can have. So whether you have to generate a code or understand a concept, ChatGPT can really make a developer’s life by doing a lot of tasks. However, it certainly comes with its own set of challenges and cannot always be completely correct. So it is advisable to cross-check the responses. Hope this helps. Visit us- Intelliatech

[salesforceblog12]

A Guide to Salesforce Integration Methods: APIs, Low-Code & No-Code

In today's interconnected digital landscape, the ability to seamlessly integrate various systems is crucial for businesses aiming to streamline their operations and enhance productivity. Salesforce, a leading customer relationship management (CRM) platform, offers a plethora of integration methods to connect with other applications and systems. From traditional APIs to low-code and no-code solutions, Salesforce provides options tailored to the diverse needs and technical expertise of businesses. Let's delve into these integration methods to understand their functionalities and benefits.

Application Programming Interfaces (APIs): APIs serve as the backbone of modern software integration, enabling different applications to communicate and share data efficiently. Salesforce offers robust APIs, including REST and SOAP, allowing developers to build custom integrations tailored to their specific requirements. RESTful APIs are widely preferred for their simplicity and flexibility, enabling seamless data exchange between Salesforce and external systems over HTTP. On the other hand, SOAP APIs provide a more structured approach with standardized messaging protocols, suitable for complex integrations requiring stringent security measures.

API-based integrations offer unparalleled flexibility and customization, empowering businesses to orchestrate complex workflows, synchronize data in real-time, and automate processes across multiple platforms. However, building and maintaining API integrations typically require a certain level of technical expertise, making them ideal for organizations with dedicated development teams or access to skilled developers.

Low-Code Integration: Recognizing the growing demand for rapid application development and integration, Salesforce introduced low-code platforms like Salesforce Lightning Flow and Salesforce AppExchange. These platforms leverage visual, drag-and-drop interfaces, enabling business users and citizen developers to create custom integrations without extensive coding knowledge.

Salesforce Lightning Flow, for instance, empowers users to design automated workflows and integrate Salesforce with third-party applications using a graphical interface. With pre-built connectors and templates, users can quickly configure integration scenarios, such as lead-to-cash processes or customer support ticket management, without writing complex code.

Check out 200 OK for versatile integration solutions. Efficiently connect Salesforce with other tools like SAP, Dynamics, Workday, Quickbooks, Stripe, PowerBI, and more without requiring any infrastructure, ensuring smooth workflows and optimized operations.

Low-code integration platforms offer a balance between flexibility and simplicity, enabling organizations to accelerate integration projects, reduce dependency on IT resources, and drive innovation across departments. Moreover, these platforms foster collaboration between business users and IT teams, facilitating the rapid deployment of integrated solutions tailored to evolving business needs.

No-Code Integration: For businesses seeking an even more accessible integration solution, Salesforce provides no-code tools like Salesforce Connect and MuleSoft Composer. These platforms eliminate the need for any manual coding, allowing users to establish seamless connections between Salesforce and external data sources through intuitive configuration interfaces.

Salesforce Connect enables real-time integration with external data sources, such as ERP systems or legacy databases, without data replication. By creating external objects mapped to data sources, users can access and manipulate external data within Salesforce seamlessly. Similarly, MuleSoft Composer simplifies integration by offering pre-built connectors and workflows for common integration scenarios, such as synchronizing contacts or orders between Salesforce and other applications.

No-code integration solutions democratize the integration process, enabling business users with limited technical skills to connect Salesforce with external systems and unlock valuable insights from disparate data sources. By democratizing integration, organizations can foster innovation, improve data accessibility, and drive digital transformation initiatives across the enterprise.

In conclusion, Salesforce offers a diverse range of integration methods, catering to the varying needs and technical proficiencies of businesses. Whether through APIs, low-code platforms, or no-code tools, organizations can seamlessly connect Salesforce with other applications and systems, enabling streamlined processes, enhanced collaboration, and accelerated innovation in today's digital ecosystem.

[bizmagnets]

Revolutionizing Customer Engagement with Low Code Chatbots from BizMagnets.

customer engagement is more critical than ever. Businesses are continually seeking innovative ways to connect with their customers, provide instant support, and streamline operations. One solution that is leading the way in revolutionizing customer engagement is the use of low code chatbots, and BizMagnets is at the forefront of this transformation.

But, what if you're not a coding expert? Fear not, because BizMagnets also offers no code chatbot solutions.

In this article, we will explore how low code chatbots from BizMagnets are changing the game and how no code chatbots are making this technology accessible to everyone.

The Rise of Chatbots in Customer Engagement

Chatbots have become an integral part of modern customer engagement strategies. They enable businesses to provide real-time support, answer frequently asked questions, and even facilitate transactions, all within a conversational interface. This technology has the potential to enhance customer experiences while reducing operational costs.

Introducing Low Code Chatbots by BizMagnets

Low code chatbots are a game-changer because they allow businesses to create sophisticated chatbots with minimal coding effort. BizMagnets' low code chatbot platform provides a visual development environment where users can drag and drop components to design chatbot interactions.

Key Benefits of Low Code Chatbots:

Speed and Efficiency: With low code chatbots, businesses can develop and deploy chatbots much faster than traditional coding methods. This means quicker implementation and faster results.

Reduced Dependency on Developers: You don't need a team of developers to create and manage your chatbots. Business analysts and non-technical staff can actively participate in the chatbot development process.

Customization: Low code platforms offer a high degree of customization. You can tailor your chatbot's responses, workflows, and integrations to suit your specific business needs.

Scalability: As your business grows, your chatbots can scale with you. Adding new features and capabilities becomes a straightforward task.

The No Code Revolution

While low code chatbots make development easier, no code chatbots take accessibility to a whole new level. With no code chatbot platforms, you don't need any programming knowledge whatsoever. BizMagnets' no code chatbot solution empowers users to create chatbots through a simple, intuitive interface.

Advantages of No Code Chatbots:

Accessibility: No code chatbots are accessible to everyone in your organization, regardless of their technical background. Anyone can build and manage chatbots.

Rapid Deployment: With no code platforms, you can have a chatbot up and running within minutes. This agility is especially valuable for responding to market changes and customer demands swiftly.

Reduced Costs: Eliminating the need for developers significantly reduces development costs, making chatbot implementation more budget-friendly.

Experimentation: No code platforms encourage experimentation and innovation. You can easily try different chatbot strategies and refine your approach as needed.

BizMagnets: Bridging the Gap

BizMagnets understands that different businesses have different needs. That's why they offer both low code and no code chatbot solutions. Whether you're looking for a solution that provides flexibility and customization through low code development or a straightforward, no code approach for quick chatbot deployment, BizMagnets has you covered.

Realizing the Potential

Businesses that embrace low code and no code chatbots from BizMagnets are positioned to revolutionize their customer engagement. These chatbots can handle inquiries, provide support, automate processes, and enhance user experiences—all while reducing operational complexities and costs.

In conclusion, the revolution in customer engagement is here, and it's being led by low code and no code chatbots from BizMagnets. Whether you're a coding expert or completely non-technical, you can leverage this technology to engage with your customers like never before. The future of customer engagement is accessible, efficient, and powered by BizMagnets.

[nebpower]

Effortless Transactions, Secure Connections: Unveiling the Power of QR Codes with Nabpower Payment Gateway

Embark on a journey of modernized transactions and enhanced convenience with Nabpower Payment Gateway in our latest blog post. Discover the transformative impact of QR codes as Nabpower introduces a cutting-edge approach to digital payments. From instant transactions to fortified security measures, explore how Nabpower's QR codes redefine the landscape of contemporary financial interactions.

Instant Payments, Seamless Experience: Delve into the speed and efficiency of Nabpower's QR code transactions. Learn how users can make instant payments with a simple scan, transforming every transaction into a seamless and rapid experience.

Robust Security Protocols: Highlight the robust security features integrated into Nabpower's QR code system. Explore encryption and authentication protocols that ensure secure transactions, prioritizing user data protection and fostering trust in every payment.

Versatility Across Platforms: Showcase the versatility of Nabpower's QR codes across various platforms. Whether for in-store purchases, online transactions, or peer-to-peer transfers, Nabpower's QR codes provide a universal solution for diverse financial needs.

User-Friendly Scan-and-Pay Experience: Illustrate the user-friendly nature of Nabpower's scan-and-pay experience. Explore how the seamless process of scanning a QR code simplifies transactions, making it accessible for users of all technical proficiencies.

Customizable QR Code Solutions: Showcase Nabpower's flexibility with customizable QR code options. Discuss how businesses and users can tailor QR codes to align with branding, preferences, and specific transaction requirements.

Real-Time Transaction Updates: Highlight the real-time updates provided through Nabpower's QR code transactions. Users receive instant notifications, ensuring transparency and allowing them to stay informed about their financial activities.

Integration with Mobile Wallets: Illustrate how Nabpower's QR codes seamlessly integrate with popular mobile wallets. Explore the convenience of connecting the payment gateway with users' preferred digital wallets, enhancing the overall user experience.

Contactless Convenience: Emphasize the contactless nature of Nabpower's QR code transactions. In today's safety-conscious environment, users can make payments without physical contact, prioritizing health and well-being.

Educational Resources and How-To Guides: Provide users with educational resources and how-to guides on incorporating QR codes into their transactions. Empower users with knowledge on maximizing the benefits of Nabpower's QR code technology.

Future Innovations in QR Code Technology: Conclude the blog post by offering a glimpse into the future innovations planned for Nabpower's QR code technology. Invite users to stay tuned for upcoming features that will continue to redefine and elevate their QR code payment experiences.

By exploring the capabilities of Nabpower Payment Gateway's QR code technology, this blog post aims to inform users about the advantages and convenience of leveraging QR codes for swift, secure, and modern transactions.

[jcmarchi]

Aaron Kesler, Director of AI Product Management at SnapLogic – Interview Series

New Post has been published on https://thedigitalinsider.com/aaron-kesler-director-of-ai-product-management-at-snaplogic-interview-series/

Aaron Kesler, Director of AI Product Management at SnapLogic – Interview Series

Aaron Kesler, Director of AI Product Management at SnapLogic, is a certified product leader with over a decade of experience building scalable frameworks that blend design thinking, jobs to be done, and product discovery. He focuses on developing new AI-driven products and processes while mentoring aspiring PMs through his blog and coaching on strategy, execution, and customer-centric development.

SnapLogic is an AI-powered integration platform that helps enterprises connect applications, data, and APIs quickly and efficiently. With its low-code interface and intelligent automation, SnapLogic enables faster digital transformation across data engineering, IT, and business teams.

You’ve had quite the entrepreneurial journey, starting STAK in college and going on to be acquired by Carvertise. How did those early experiences shape your product mindset?

This was a really interesting time in my life. My roommate and I started STAK because we were bored with our coursework and wanted real-world experience. We never imagined it would lead to us getting acquired by what became Delaware’s poster startup. That experience really shaped my product mindset because I naturally gravitated toward talking to businesses, asking them about their problems, and building solutions. I didn’t even know what a product manager was back then—I was just doing the job.

At Carvertise, I started doing the same thing: working with their customers to understand pain points and develop solutions—again, well before I had the PM title. As an engineer, your job is to solve problems with technology. As a product manager, your job shifts to finding the right problems—the ones that are worth solving because they also drive business value. As an entrepreneur, especially without funding, your mindset becomes: how do I solve someone’s problem in a way that helps me put food on the table? That early scrappiness and hustle taught me to always look through different lenses. Whether you’re at a self-funded startup, a VC-backed company, or a healthcare giant, Maslow’s “basic need” mentality will always be the foundation.

You talk about your passion for coaching aspiring product managers. What advice do you wish you had when you were breaking into product?

The best advice I ever got—and the advice I give to aspiring PMs—is: “If you always argue from the customer’s perspective, you’ll never lose an argument.” That line is deceptively simple but incredibly powerful. It means you need to truly understand your customer—their needs, pain points, behavior, and context—so you’re not just showing up to meetings with opinions, but with insights. Without that, everything becomes HIPPO (highest paid person’s opinion), a battle of who has more power or louder opinions. With it, you become the person people turn to for clarity.

You’ve previously stated that every employee will soon work alongside a dozen AI agents. What does this AI-augmented future look like in a day-to-day workflow?

What may be interesting is that we are already in a reality where people are working with multiple AI agents – we’ve helped our customers like DCU plan, build, test, safeguard, and put dozens of agents to help their workforce. What’s fascinating is companies are building out organization charts of AI coworkers for each employee, based on their needs. For example, employees will have their own AI agents dedicated to certain use cases—such as an agent for drafting epics/user stories, one that assists with coding or prototyping or issues pull requests, and another that analyzes customer feedback – all sanctioned and orchestrated by IT because there’s a lot on the backend determining who has access to which data, which agents need to adhere to governance guidelines, etc. I don’t believe agents will replace humans, yet. There will be a human in the loop for the foreseeable future but they will remove the repetitive, low-value tasks so people can focus on higher-level thinking. In five years, I expect most teams will rely on agents the same way we rely on Slack or Google Docs today.

How do you recommend companies bridge the AI literacy gap between technical and non-technical teams?

Start small, have a clear plan of how this fits in with your data and application integration strategy, keep it hands-on to catch any surprises, and be open to iterating from the original goals and approach. Find problems by getting curious about the mundane tasks in your business. The highest-value problems to solve are often the boring ones that the unsung heroes are solving every day. We learned a lot of these best practices firsthand as we built agents to assist our SnapLogic finance department. The most important approach is to make sure you have secure guardrails on what types of data and applications certain employees or departments have access to.

Then companies should treat it like a college course: explain key terms simply, give people a chance to try tools themselves in controlled environments, and then follow up with deeper dives. We also make it known that it is okay not to know everything. AI is evolving fast, and no one’s an expert in every area. The key is helping teams understand what’s possible and giving them the confidence to ask the right questions.

What are some effective strategies you’ve seen for AI upskilling that go beyond generic training modules?

The best approach I’ve seen is letting people get their hands on it. Training is a great start—you need to show them how AI actually helps with the work they’re already doing. From there, treat this as a sanctioned approach to shadow IT, or shadow agents, as employees are creative to find solutions that may solve super particular problems only they have. We gave our field team and non-technical teams access to AgentCreator, SnapLogic’s agentic AI technology that eliminates the complexity of enterprise AI adoption, and empowered them to try building something and to report back with questions. This exercise led to real learning experiences because it was tied to their day-to-day work.

Do you see a risk in companies adopting AI tools without proper upskilling—what are some of the most common pitfalls?

The biggest risks I’ve seen are substantial governance and/or data security violations, which can lead to costly regulatory fines and the potential of putting customers’ data at risk.  However, some of the most frequent risks I see are companies adopting AI tools without fully understanding what they are and are not capable of. AI isn’t magic. If your data is a mess or your teams don’t know how to use the tools, you’re not going to see value. Another issue is when organizations push adoption from the top down and don’t take into consideration the people actually executing the work. You can’t just roll something out and expect it to stick. You need champions to educate and guide folks, teams need a strong data strategy, time, and context to put up guardrails, and space to learn.

At SnapLogic, you’re working on new product development. How does AI factor into your product strategy today?

AI and customer feedback are at the heart of our product innovation strategy. It’s not just about adding AI features, it’s about rethinking how we can continually deliver more efficient and easy-to-use solutions for our customers that simplify how they interact with integrations and automation. We’re building products with both power users and non-technical users in mind—and AI helps bridge that gap.

How does SnapLogic’s AgentCreator tool help businesses build their own AI agents? Can you share a use case where this had a big impact?

AgentCreator is designed to help teams build real, enterprise-grade AI agents without writing a single line of code. It eliminates the need for experienced Python developers to build LLM-based applications from scratch and empowers teams across finance, HR, marketing, and IT to create AI-powered agents in just hours using natural language prompts. These agents are tightly integrated with enterprise data, so they can do more than just respond. Integrated agents automate complex workflows, reason through decisions, and act in real time, all within the business context.

AgentCreator has been a game-changer for our customers like Independent Bank, which used AgentCreator to launch voice and chat assistants to reduce the IT help desk ticket backlog and free up IT resources to focus on new GenAI initiatives. In addition, benefits administration provider Aptia used AgentCreator to automate one of its most manual and resource-intensive processes: benefits elections. What used to take hours of backend data entry now takes minutes, thanks to AI agents that streamline data translation and validation across systems.

SnapGPT allows integration via natural language. How has this democratized access for non-technical users?

SnapGPT, our integration copilot, is a great example of how GenAI is breaking down barriers in enterprise software. With it, users ranging from non-technical to technical can describe the outcome they want using simple natural language prompts—like asking to connect two systems or triggering a workflow—and the integration is built for them. SnapGPT goes beyond building integration pipelines—users can describe pipelines, create documentation, generate SQL queries and expressions, and transform data from one format to another with a simple prompt. It turns out, what was once a developer-heavy process into something accessible to employees across the business. It’s not just about saving time—it’s about shifting who gets to build. When more people across the business can contribute, you unlock faster iteration and more innovation.

What makes SnapLogic’s AI tools—like AutoSuggest and SnapGPT—different from other integration platforms on the market?

SnapLogic is the first generative integration platform that continuously unlocks the value of data across the modern enterprise at unprecedented speed and scale. With the ability to build cutting-edge GenAI applications in just hours — without writing code — along with SnapGPT, the first and most advanced GenAI-powered integration copilot, organizations can vastly accelerate business value. Other competitors’ GenAI capabilities are lacking or nonexistent. Unlike much of the competition, SnapLogic was born in the cloud and is purpose-built to manage the complexities of cloud, on-premises, and hybrid environments.

SnapLogic offers iterative development features, including automated validation and schema-on-read, which empower teams to finish projects faster. These features enable more integrators of varying skill levels to get up and running quickly, unlike competitors that mostly require highly skilled developers, which can slow down implementation significantly. SnapLogic is a highly performant platform that processes over four trillion documents monthly and can efficiently move data to data lakes and warehouses, while some competitors lack support for real-time integration and cannot support hybrid environments.

 What excites you most about the future of product management in an AI-driven world?

What excites me most about the future of product management is the rise of one of the latest buzzwords to grace the AI space “vibe coding”—the ability to build working prototypes using natural language. I envision a world where everyone in the product trio—design, product management, and engineering—is hands-on with tools that translate ideas into real, functional solutions in real time. Instead of relying solely on engineers and designers to bring ideas to life, everyone will be able to create and iterate quickly.

Imagine being on a customer call and, in the moment, prototyping a live solution using their actual data. Instead of just listening to their proposed solutions, we could co-create with them and uncover better ways to solve their problems. This shift will make the product development process dramatically more collaborative, creative, and aligned. And that excites me because my favorite part of the job is building alongside others to solve meaningful problems.

Thank you for the great interview, readers who wish to learn more should visit SnapLogic. 

[quickwork1]

Quickwork effortlessly syncs Jira with Slack, delivering instant notifications for new issues. Stay updated and collaborate seamlessly with this powerful integration, enhancing productivity and team communication. More at https://bit.ly/45LzA9W

[chattingwithmodels]

Google Gen AI SDK, Gemini Developer API, and Python 3.13

A Technical Overview and Compatibility Analysis 🧠 TL;DR – Google Gen AI SDK + Gemini API + Python 3.13 Integration 🚀 🔍 Overview Google’s Gen AI SDK and Gemini Developer API provide cutting-edge tools for working with generative AI across text, images, code, audio, and video. The SDK offers a unified interface to interact with Gemini models via both Developer API and Vertex AI 🌐. 🧰 SDK…

[splatsvilles-fashionista]

Nintendo is removing twitter integration next week, here's what to do to share screenshots instead

So in case you missed it, Nintendo announced last month that they're removing the Switch's twitter integration on Jun 10/11 (depending on your time zone) as a result of twitter jacking up their API fees to absolutely ridiculous degrees. This will not affect making posts in the plaza (at least in Splatoon 3) but it does mean you will not be able to upload screenshots and videos to twitter for easy access.

If you're like me and do this a lot, then you've got two alternatives.

One of these methods is significantly easier than the others, but requires a computer that runs Windows and a USB cable. With your Switch in portable mode, go into your System Settings and find the Data Management section:

Click it and scroll down to the "Copy to PC via USB Connection" option.

Click it and you'll be prompted to connect your Switch to your PC via USB. When you do, a folder containing all your Switch screenshots and videos will pop up on your PC. From there, you can copy as many videos and screenshots as you'd like to a location of your choosing, at which point you can disconnect your Switch.

And now you're done!

The other option is a bit more finicky (and also I can't take screenshots to show you the process), but can be done with any smart device. Go into your Album and pick a video or screenshot you would like to share. Select Send to smart device, after which you'll be prompted to scan a QR code. Scan it with your smart device and you'll be given a link to connect to a Wifi, which sounds weird but is just how the console and smart device connects. Once they have, you'll be able to send your images and video to your phone.

[kitkatt0430]

Welp, I've been using external methods of auto-backing up my tumblr but it seems like it doesn't do static pages, only posts.

So I guess I'll have some manual backing up to do later

Still, it's better than nothing and I'm using the official tumblr backup process for my smaller blogs so hopefully that'll net the static pages and direct messages too. But. My main - starstruckpurpledragon - 'backed up' officially but was undownloadable; either it failed or it'd download a broken, unusable, 'empty' zip. So *shrugs* I'm sure I'm not the only one who is trying to back up everything at once. Wouldn't be shocked if the rest of the backups are borked too when I try to download their zips.

There are two diff ways I've been externally backing up my tumblr.

TumblThree - This one is relatively straight forward in that you can download it and start backing up immediately. It's not pretty, but it gets the job done. Does not get static pages or your direct message conversations, but your posts, gifs, jpegs, etc are all there. You can back up more than just your own blog(s) if you want to as well.

That said, it dumps all your posts into one of three text files which makes them hard to find. That's why I say it's 'not pretty'. It does have a lot of options in there that are useful for tweaking your download experience and it's not bad for if you're unfamiliar with command line solutions and don't have an interest in learning them. (Which is fair, command line can be annoying if you're not used to it.) There are options for converting the output into nicer html files for each post but I haven't tried them and I suspect they require command line anyway.

I got my blogs backed up using this method as of yesterday but wasn't thrilled with the output. Decided that hey, I'm a software engineer, command line doesn't scare me, I'll try this back up thing another way. Leading to today's successful adventures with:

TumblrUtils - This one does take more work to set up but once it's working it'll back up all your posts in pretty html files by default. It does take some additional doing for video/audio but so does TumblThree so I'll probably look into it more later.

First, you have to download and install python. I promise, the code snake isn't dangerous, it's an incredibly useful scripting language. If you have an interest in learning computer languages, it's not a bad one to know. Installing python should go pretty fast and when it's completed, you'll now be able to run python scripts from the command line/terminal.

Next, you'll want to actually download the TumblrUtils zip file and unzip that somewhere. I stuck mine on an external drive, but basically put it where you've got space and can access it easily.

You'll want to open up the tumblr_backup.py file with a text editor and find line 105, which should look like: ''' API_KEY = '' '''

So here's the hard part. Getting a key to stick in there. Go to the tumblr apps page to 'register' an application - which is the fancy way of saying request an API. Hit the register an application button and, oh joy. A form. With required fields. *sigh* All the url fields can be the same url. It just needs to be a valid one. Ostensibly something that interfaces with tumblr fairly nicely. I have an old wordpress blog, so I used it. The rest of the fields should be pretty self explanatory. Only fill in the required ones. It should be approved instantly if everything is filled in right.

And maybe I'll start figuring out wordpress integration if tumblr doesn't die this year, that'd be interesting. *shrug* I've got too many projects to start a new one now, but I like learning things for the sake of learning them sometimes. So it's on my maybe to do list now.

Anywho, all goes well, you should now have an 'OAuth Consumer Key' which is the API key you want. Copy that, put in between the empty single quotes in the python script, and hit save.

Command line time!

It's fairly simple to do. Open your command line (or terminal), navigate to where the script lives, and then run: ''' tumblr_backup.py <blog_name_here> '''

You can also include options before the blog name but after the script filename if you want to get fancy about things. But just let it sit there running until it backs the whole blog up. It can also handle multiple blogs at once if you want. Big blogs will take hours, small blogs will take a few minutes. Which is about on par with TumblThree too, tbh.

The final result is pretty. Individual html files for every post (backdated to the original post date) and anything you reblogged, theme information, a shiny index file organizing everything. It's really quite nice to dig through. Much like TumbleThree, it does not seem to grab direct message conversations or static pages (non-posts) but again it's better than nothing.

And you can back up other blogs too, so if there are fandom blogs you follow and don't want to lose or friends whose blogs you'd like to hang on to for your own re-reading purposes, that's doable with either of these backup options.

I've backed up basically everything all over again today using this method (my main is still backing up, slow going) and it does appear to take less memory than official backups do. So that's a plus.

Anyway, this was me tossing my hat into the 'how to back up your tumblr' ring. Hope it's useful. :D

[queerautism]

BTW I think the "Grok is stealing code from OpenAI" thing is bullshit, shared by people who do not understand how OpenAI works.

I believe it's way more likely that Grok is simply a finetuned version of gpt-3.5 they're paying OpenAI to actually run.

Creating and running your own LLM is VERY expensive, and takes way more time than Grok had put into it. Fine-tuning a model by using a bunch of twitter data and getting an API from OpenAI to integrate into your app is a lot more doable, especially if then you make the twitter assholes who want to use Grok pay for the tokens they're using. Hell, you could even attempt to turn a bit of a profit that way.

It is no coincidence that Grok happened when the price per token of gpt-3.5 went down due to the availability of gpt-4, in my opinion.

[madnessofmen]

One of my pet peeves in robot fiction is AIs using HUDs or GUIs to interact with its own systems. Those are graphical user interfaces. They're for humans. Robots aren't users; they are the computer. They don't need that. Even if the AI is purely software and has no native integration with the hardware, it would use an API (application program interface), which is still just straight code.

A robot wouldn't get a pop-up saying low battery, nor would it have to close it. They would experience it like a human. The robot would be alerted in the same way a human just becomes aware of the sensation of itching or hunger: you're always processing data and now there's a new type of data which is different. And the way it would dismiss the alert would be to just decide to do nothing about it.

Problems can occur when 1) the signal interrupts other processes and the error must be addressed before other processes can continue, but for whatever reason the error can't be fixed, or 2) the signal is non interrupting, but it's being sent so repeatedly/frequently that it floods the incoming data queue.