#hire ai programmers

[daisygrace9871]

Why Quytech Is Trusted by Enterprises to Hire AI Developers

In today’s digital world, Artificial Intelligence (AI) is changing the way businesses operate. From improving customer service with chatbots to automating business processes, AI is making a big impact. But to get the most out of AI, companies need skilled and experienced AI developers. That’s where Quytech comes in.

Quytech has become a trusted name among enterprises when it comes to hire AI developer services. With a strong portfolio, skilled talent, and client-first approach, enterprises choose Quytech to hire AI app developer, build smart solutions, and stay ahead in the competitive market.

1. Proven Track Record in AI Development

Quytech has over a decade of experience in software development and has successfully delivered many AI-powered projects across industries like healthcare, finance, eCommerce, real estate, logistics, and more. This track record builds confidence among enterprises looking to hire AI engineers with real-world experience.

Whether it's building predictive analytics solutions or creating virtual assistants, Quytech’s team has done it all. That’s why businesses globally hire dedicated AI developers from Quytech to build reliable and scalable AI solutions.

2. Access to Pre-Vetted and Skilled AI Talent

Finding and hiring skilled AI talent is a challenge for many enterprises. Quytech solves this problem by offering access to a pool of pre-vetted AI programmers. Each developer is tested for their technical, logical, and problem-solving abilities.

When you hire AI programmers from Quytech, you’re getting experts in machine learning, deep learning, NLP (Natural Language Processing), computer vision, data science, and more. Whether you're working on a smart chatbot or a complex recommendation system, Quytech has the right AI talent for your needs.

3. Flexible Hiring Models

Every business has different needs, and Quytech understands this. That’s why they offer flexible hiring models. You can hire remote AI developer on an hourly, part-time, or full-time basis. This helps enterprises scale their teams quickly without going through a lengthy hiring process.

Whether you're a startup building an AI-powered MVP or an enterprise expanding your digital capabilities, Quytech provides you the freedom to choose a hiring model that suits your budget and timeline.

4. Expertise in Multiple AI Technologies

AI is a vast field, and Quytech’s developers are skilled in using the latest tools and frameworks. Their expertise includes:

Machine Learning with Python, TensorFlow, and Scikit-learn

Natural Language Processing (NLP) using NLTK, spaCy, and GPT-based models

Computer Vision using OpenCV, PyTorch, and YOLO

Deep Learning with Keras and TensorFlow

AI Integration with mobile apps, IoT systems, and enterprise software

This wide range of expertise makes Quytech the go-to choice for companies that want to hire AI app developers in India who understand modern tech stacks and deliver results.

Read More:- Why Quytech Is the Best Partner to Hire AI Developers from India

5. Trusted by Global Enterprises

Quytech has worked with over 500 clients globally, including startups, SMEs, and Fortune 500 companies. Clients from the USA, UK, Europe, Middle East, and Asia choose to hire AI developer in India from Quytech because of their professional approach and timely delivery.

Their client retention rate is one of the highest in the industry, proving that Quytech is not just a vendor, but a reliable technology partner.

6. Transparent Communication and Project Management

Effective communication and transparency are important for project success. Quytech uses tools like Jira, Trello, Slack, and Zoom to keep clients updated throughout the development process.

When you hire AI app developer from Quytech, you also get a dedicated project manager who ensures everything runs smoothly. Regular updates, real-time collaboration, and milestone tracking help maintain clarity and build trust.

7. Cost-Effective AI Development Services

Hiring in-house AI developers can be expensive, especially in regions like the US or Europe. By choosing to hire Indian AI developers for hire, enterprises can significantly reduce costs without compromising on quality.

Quytech offers affordable rates, especially for businesses looking to hire remote AI developer or hire AI engineer in India. Their cost-effective hiring model is ideal for both short-term tasks and long-term AI product development.

8. Quick Team Setup and Onboarding

Time is money in the tech world. Quytech understands the urgency and helps enterprises onboard developers quickly. Once you share your requirements, their recruitment and tech team identifies suitable profiles and sets up interviews within 48-72 hours.

This speed and efficiency make Quytech the best destination to hire AI developers without wasting time on long hiring cycles.

9. Dedicated AI Teams for Enterprise Projects

For large-scale enterprise AI projects, Quytech offers dedicated AI teams. These teams include AI developers, data scientists, UI/UX designers, testers, and project managers who work together to bring your vision to life.

Enterprises that want full control over the development process prefer Quytech’s dedicated team model. It offers better productivity, accountability, and project alignment.

10. Excellent Post-Development Support

Building an AI solution is just the beginning. Maintaining it, updating it with new features, and ensuring it runs smoothly is equally important. Quytech provides post-development support and maintenance to keep your AI product up-to-date.

This ongoing support makes businesses come back to Quytech when they need to hire AI developers for new phases or upgrades.

Why Enterprises Prefer Indian AI Developers

Many enterprises worldwide are now looking to hire AI developers in India for the following reasons:

High Talent Pool: India has a large number of skilled developers in AI, ML, and Data Science.

Cost Advantage: Hiring Indian developers costs significantly less than hiring locally in the US, UK, or Europe.

English Proficiency: Most Indian developers are fluent in English, making communication easy.

Time Zone Benefits: Indian teams can work in multiple time zones, offering round-the-clock productivity.

If you're looking for reliable Indian AI developers for hire, Quytech offers the best combination of quality, cost, and communication.

Final Thoughts: Hire the Best AI Talent with Quytech

AI is shaping the future of digital transformation, and having the right team makes all the difference. Quytech’s client-centric approach, proven AI expertise, and flexible hiring models make it a top choice for businesses looking to hire AI developers.

From startups to global enterprises, companies trust Quytech to hire AI app developers in India who can turn complex ideas into working products.

So, if you’re planning to develop an AI-powered solution or expand your existing product, Quytech is your ideal technology partner. Whether you want to hire dedicated AI developers, hire AI programmers, or hire AI engineers, Quytech has everything you need under one roof.

[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.

[propicsmedia]

Accepting Resumes - Positions Worldwide. Apply Now #employment #remotewo... NOW HIRING REMOTE WORKERS WORLD WIDE_YouTube_1 ProPIcs Canada Media Ltd and PPC AI Technologies are undergoing major growth in various international locations. Remote workers and digital nomads are welcome to submit resumes. Technical, Creative, Programmers, Developers, B2B Sales, Marketing, Sales Reps, Technology implementation and training reps, content and media designers among others. Well-paid positions. Paid weekly via e-transfer or other digital platforms. WE ARE A DIRECT EMPLOYER NOT AN AGENCY. Follow the directions in the video here to apply. Any other method will be discarded as we need to know that applicants can understand and follow the directions of the tasks presented. If you can not follow this simple one, we can not trust that you can follow more detailed tasks as required in the positions being filled. ProPics Canada Media is seeking to fill positions in all positions related to Digital Media and Content, Generative and predictive Artificial intelligence, app development, task-specific platforms and digital tools, photography, videography, Programming, and AI and Machine learning technology-related fields. As we are looking to take on a large increase in our client base worldwide, we are seeking employees and contractors in all fields and most countries. Positions range from immediate start through to Q3 of 2024. We will be constantly adding great people during this period. #employment #employmentnews #jobs #hiring #acceptingresumes #technologyemployment #techjobs #salesjobs #hiring #acceptingresumes #technologyemployment #techjobs #salesjobs #hiringtalent #creativejobsavailble #AIJobs #Chatgptjobs #PredictiveAIjobs #Machinelearningjobs #developerjobs #programmingjobs #appdevelopers #solutionsbasedprogrammers #workerswanted #aiinvestments #businessexpansion #businessgrowth #NewOpportunities #employmentopportunities #applynow #employment2024 #newstart2024 #newjob #submitresume #letsworktogether

[ioweb3tech]

Hire Developers That Drive Digital Growth: Here’s How to Get It Right

In an increasingly digital-first world, having the right development talent is no longer a luxury—it’s a necessity. Whether you're a startup looking to build an MVP or an enterprise scaling your digital product, one decision can make or break your journey: who you hire to build it.

In this article, we’ll explore why businesses around the globe prioritize smart hiring, what to consider before you hire developers, and how to find the right talent for your unique business needs.

Why Hiring the Right Developers Matters

Your developers are the architects of your vision. They turn your ideas into interactive, scalable, and profitable products. But not every developer is the right fit. The success of your software depends on more than just technical skills—it also requires domain understanding, communication, scalability planning, and agile collaboration.

Hiring the wrong team can lead to:

Delayed time-to-market

Code debt and bugs

Security flaws

Poor user experience

Wasted budgets

Hiring the right developers helps you avoid all of the above and ensures your product thrives in a competitive landscape.

Signs You Need to Hire Developers

Here are key scenarios where hiring developers becomes a strategic priority:

You lack in-house technical expertise but have a great product idea.

You want to accelerate delivery and launch faster.

Your current team is overloaded, and projects are being delayed.

You’re scaling and need ongoing development support.

You need niche expertise in Web3, AI, SaaS, or cloud-native architectures.

Regardless of where you stand, finding the right developers can unlock exponential growth and innovation.

What to Look for When You Hire Developers

Hiring developers is more than checking off a list of tech skills. The right partner brings a combination of technical excellence, strategic insight, and business alignment.

1. Technical Versatility

From front-end frameworks like React and Vue.js to backend technologies like Node.js, Python, or Java—developers should be comfortable with modern stacks. Experience with cloud services, APIs, and databases is a plus.

2. Problem Solving and Communication

Good developers write clean code. Great developers ask the right questions, anticipate challenges, and collaborate well with non-technical teams.

3. Experience in Your Domain

Building a SaaS product? Working on AI integration? Want to explore blockchain or smart contracts? Developers with specific domain knowledge, such as web3 development company or ai product development, can get you ahead faster.

4. Agile & Scalable Approach

Your developers should be familiar with agile methodologies, CI/CD pipelines, code versioning, and testing frameworks for scalable, maintainable code.

5. Security-First Mindset

Security is essential in today’s data-driven world. Developers must follow best practices for data protection, encryption, access control, and compliance (like GDPR or HIPAA).

Freelancers vs. Dedicated Teams: What Should You Choose?

Hiring developers can be done in a few different ways, depending on your scope, budget, and timeline:

✅ Freelancers:

Ideal for short-term tasks or bug fixes.

Cost-effective but less reliable for large projects.

Harder to manage and scale.

✅ In-House Developers:

Great for long-term internal projects.

Requires higher investment (salaries, benefits, training).

Takes time to hire and onboard.

✅ Remote Dedicated Teams / Agencies:

Offers flexibility and faster execution.

Access to a pool of vetted, multi-stack developers.

Scalable as your business grows.

Perfect if you want to hire developers without the hassle of managing recruitment, training, and HR overhead.

How Ioweb3 Helps You Hire the Right Developers

At Ioweb3, we simplify your developer hiring process. Whether you’re building SaaS platforms, AI-enabled applications, or exploring Web3 possibilities, our curated pool of full-stack, front-end, backend, and mobile developers is ready to take on your challenge.

Why Companies Choose Ioweb3:

🔹 Domain Expertise in SaaS, AI, Web3, and DevOps.🔹 Flexible Hiring Models: Hire by project, monthly, or hourly. 🔹 Quality Assurance: Every developer goes through a rigorous vetting process. 🔹 On-Demand Scalability: Add or reduce resources as needed. 🔹 Transparent Communication: Daily stand-ups, milestone tracking, real-time reporting.

We’re not just coders—we’re strategic partners in product development.

Questions to Ask Before You Hire Developers

Before onboarding, ask these questions:

What similar projects have you worked on?

Can you show live examples or GitHub contributions?

How do you handle deadlines and feedback loops?

What’s your process for bug fixing and post-launch support?

How do you ensure code quality and documentation?

These questions can help assess both technical capability and cultural fit.

Final Thoughts

The decision to hire developers is a critical one—and it's worth doing right. The right development team doesn’t just deliver software; they become your digital partners in innovation and growth.

Whether you need a one-time MVP or an ongoing product team, trust matters. Choose developers who align with your goals, communicate well, and bring deep expertise to your table.

Ready to build your product with confidence? Let’s find the right developers for your success.

[v2softunofficial]

Looking for Java Developers? What You Need to Know About Staffing

In the ever-evolving landscape of software development, Java developers remain a cornerstone of many digital transformation projects. From building scalable enterprise applications to crafting secure e-commerce platforms, Java continues to power critical infrastructures across industries. However, sourcing top Java talent is not as easy as it once was. Companies today are facing increasing recruitment shortages, skill mismatches, and fluctuating project demands—all of which make hiring Java developers a challenge.

This is where the strategic application of IT Staffing For Projects, advanced tools like generative AI in staffing, and services like contract staffing services become crucial. Whether you’re looking for long-term developers or short-term project contributors, knowing how to staff efficiently will determine the success of your tech initiatives.

Why Java Developers Are in High Demand

Despite the rise of new programming languages, Java remains one of the most reliable and versatile languages. It’s widely used in:

Enterprise software development

Android applications

Cloud-based solutions

Big data and analytics platforms

Embedded systems and IoT devices

This ubiquity means businesses are constantly on the hunt for experienced Java developers—driving up competition and leading to global recruitment shortages in this niche.

The Impact of Recruitment Shortages on Java Projects

A shortage of skilled professionals has serious consequences on project delivery timelines, innovation, and team productivity. Delays in hiring Java developers can lead to:

Missed project milestones and deadlines

Overworked development teams, resulting in burnout

Incomplete or under-optimized codebases

Increased costs from turnover or rushed hiring

According to industry reports, recruitment shortages in core software roles have increased by over 35% in the past three years. This is especially true in markets like India, the US, and parts of Europe where tech projects are surging post-pandemic.

How IT Staffing for Projects Solves the Challenge

When it comes to sourcing Java developers, IT Staffing For Projects is one of the most reliable and scalable solutions available. This model allows companies to:

Hire developers on-demand for specific project needs

Scale teams up or down based on development phases

Tap into a global talent pool beyond geographic constraints

Reduce overheads compared to full-time employment

Through IT Staffing For Projects, you can build agile, responsive teams that align directly with business objectives. It removes the need for lengthy hiring cycles and focuses on immediate talent deployment.

Role of Generative AI in Staffing for Java Talent

One of the biggest shifts in talent acquisition today is the rise of generative AI in staffing. For hiring Java developers, AI plays a transformative role by:

Automatically screening and shortlisting candidates based on tech stack experience

Matching profiles with job descriptions using semantic algorithms

Predicting candidate success through historical data models

Streamlining communication and onboarding via chatbots and virtual assistants

When staffing partners leverage generative AI in staffing, hiring managers gain access to more precise, faster, and higher-quality matches. This reduces time-to-hire and ensures candidates are not just technically sound but also culturally aligned.

The Empower Recruitment Approach

One standout strategy in modern hiring is the Empower Recruitment approach. It focuses on proactive, insight-driven staffing rather than reactive hiring. Key principles of Empower Recruitment include:

Building talent pipelines in advance of hiring needs

Offering customized hiring models such as temp-to-perm or offshore staffing

Enhancing the candidate experience with transparent communication

Ensuring diversity, equity, and inclusion in technical hiring

By adopting Empower Recruitment, companies gain a competitive edge in talent acquisition—especially in tough markets facing recruitment shortages. It also allows businesses to maintain continuity even during periods of high attrition or unexpected demand surges.

Why Contract Staffing Services Work for Java Roles

Java projects often fluctuate in complexity and duration. Some might need developers for 3-6 months, while others demand full teams for a multi-year build. This is where contract staffing services provide the flexibility needed to adapt in real time.

Benefits of Contract Staffing Services:

Faster onboarding of qualified developers

No long-term commitment or overhead costs

Access to specialists for high-level architectural work

Freedom to try talent before making a permanent hire

A partner offering expert contract staffing services will maintain a vetted bench of Java professionals ready for deployment. This not only reduces project risks but also ensures quality and consistency across development sprints.

Workforce Recruitment Solutions: Building Long-Term Talent Strategy

While contract staffing solves short-term challenges, building a resilient, long-term team requires comprehensive workforce recruitment solutions. These solutions focus on:

Talent forecasting and workforce planning

Employer branding and talent marketing

Building graduate-to-expert training pipelines

Retention and engagement analytics

The combination of IT Staffing For Projects and workforce recruitment solutions ensures companies have both the agility for current project needs and the stability for future growth. It’s a dual approach that balances scalability with sustainability.

Evaluating the Right Staffing Partner for Java Projects

Not all staffing agencies are equal. When selecting a partner to help you hire Java developers, consider these key attributes:

1. Industry Experience

Look for firms with a deep understanding of software development lifecycles, Java frameworks (Spring, Hibernate, etc.), and Agile methodologies.

2. AI-Driven Technology

Partners using generative AI in staffing can deliver faster results with higher precision.

3. Talent Network Reach

A broad talent database, including passive candidates, allows access to hidden gems in the market.

4. Flexible Hiring Models

Ensure the partner can offer contract staffing services, full-time hires, or hybrid models based on your needs.

5. Proven Track Record

Ask for client references, success metrics, and sample resumes to validate their effectiveness.

Real-World Example: Java Staffing Success

Let’s consider a global fintech company based in Bengaluru. They needed to rapidly build a microservices-based platform using Java and Spring Boot. Facing recruitment shortages, they turned to a staffing partner offering:

IT Staffing For Projects with pre-vetted Java developers

AI tools for intelligent resume screening

A structured Empower Recruitment model to fill senior architect roles

Long-term workforce recruitment solutions to build a local development center

The result? The company onboarded a 20-member team within 30 days, met all sprint targets, and reduced their overall hiring cost by 28%.

Conclusion: The Smart Way to Hire Java Developers

Hiring Java developers doesn’t have to be a struggle—if you use the right approach. By combining IT Staffing For Projects, generative AI in staffing, empower recruitment, and contract staffing services, you gain a flexible and future-proof hiring model.

In today’s highly competitive IT talent market, companies that invest in comprehensive workforce recruitment solutions are more likely to build sustainable success. Whether you’re dealing with seasonal spikes or trying to overcome global recruitment shortages, the right staffing strategies can transform your development capabilities.

Partner with a firm that understands your needs, embraces technology, and delivers real results. Because when it comes to Java development, the talent you choose defines the success of your tech journey.

[bosctech]

How to integrate ChatGPT into mobile app development?

AI programmers or AI-powered development tools are on the rise, given the fact that they come built-in with complex evaluation and analytical algorithms, automation routines, ML models, and many other features. These combined facilitate the software development life cycle, allowing developers to reduce time consumed in conducting manual tasks, lower the risks and error count in the development roadmap, and decrease the overall time to market. Most companies offering mobile app development services have shown eagerness to integrate these AI-powered programming tools to drive innovation, excellence, and flawless deliveries.

Out of the innumerable AI tools available in use, it is ChatGPT that has taken the entire market by storm. With its annual revenue estimated at $1600 million by 2023, the tool has proven to be every developer’s most trusted and efficient companion. From suggesting features for mobile apps to generating code snippets based on human prompt inputs, it works wonders and streamlines the ideation, workflow orchestration, designing, and development phases of SDLC.

What is ChatGPT in terms of a development tool?

ChatGPT is the brainchild of OpenAI, first launched in the market on November 30, 2022. Powered by AI models and complex algorithms, the tool takes and evaluates human prompts and generates appropriate responses, catering to user demands. Whether you ask for the latest features trending in the mobile app development market or request help to find a bug source in a code snippet, this AI programmer has got it all.

It works through a Generative Pre-trained Transformer, which is nothing but a large language model based on a neural network. This model takes datasets as the input and performs a thorough scanning and analysis to find hidden trends and patterns. Based on the evaluated trends, the tool generates responses as per the training models. The training model allows the transformer to understand what’s being asked and generate human-like responses for user understanding.

How can ChatGPT help mobile app developers?

Understanding the ways ChatGPT empowers developers is crucial before integrating it into the development roadmap. Even though the AI tool opens a host of new opportunities for professionals, it has certain limitations to its operational and functional scopes. Considering this, we have listed a few ways every mobile app developer can leverage the tool to streamline the software development life cycle.

Generating complex codes

One of the salient features of ChatGPT is code snippet generation. It takes the human prompt as the input, which can be a simple statement like “I want a class with its interface implementation that will contain public setters and getters for abstract process services and delegates.” Based on the request input, the trained transformer model scraps the data fed into its memory at the time of development and generates a response. The code snippet generated helps developers to get an idea about the public interface and class declaring and implementing all the setters and getters needed to write the process service or delegate file. On top of this, the tool doesn’t have any constraints for the programming language, meaning developers can seek help from different languages like Java, React, Python, SQL, and many more.

Creating code documentations

Another feature of ChatGPT that developers can leverage during SDLC is documentation. It can be integrated with the IDEs to scan the codes and luate all the statements and file outlines for documentation. The robotic algorithm makes no mistakes in code evaluation, ensuring accurate and precise documentation that explains the purpose of every variable declaration, the method used, calling logic, if and else conditions, loops, constructor implementation, and so on. Thanks to the integrated natural language processing algorithms and models, ChatGPT ensures to transcribe the code snippets with maximum accuracy and precision. This not only reduces the time taken to create the documents manually but also allows developers to focus on critical points of the projects.

Also Read : Building a Simple Chat Application Using Flutter and ChatGPT Davinci Model

Test case creations

Testing is often integrated as a crucial part of mobile app development. In fact, every firm ensures to hire dedicated React native developers or professional experts in other programming languages possessing testing skills. This is because every developer is supposed to perform first-hand or unit testing on the code pieces developed and then release the changes in the deployment server. In several projects, developers also need to conduct server and load testing along with PT or performance testing on the code changes. To do so, creating proper test cases is imperative, and this is where ChatGPT comes into play. It generates different types of test cases based on the testing criteria given as the input prompt. Furthermore, it also creates testing results once the codes are entered, allowing developers to compare the same with expected results and determine if the code is working accurately or if there are discrepancies.

Generating code alternatives

Most times, developers can’t execute complex codes or evaluate the legacy codes and perform in-depth analysis. Using an AI programmer like ChatGPT seems to be a rational approach to generating alternate codes with accuracy and negligible compilation errors. For instance, let’s assume you are working on a legacy system and have been assigned the task of modifying the codes and making them lightweight and scalable. This will require analyzing the entire code files and writing them from scratch with fewer methods, reduced code complexity, and removing obsolete code pieces. You can leverage ChatGPT to generate alternate code snippets for the existing legacy code and execute the same in the IDE for further analysis.

Tracking bugs and errors

When writing codes, making mistakes is unavoidable. Although most development tools highlight the compilation-time errors on the go, they cannot determine the runtime errors. For instance, let’s say you are using Eclipse IDE to develop a project in Java language. When you write the code, Eclipse’s built-in compiler will highlight compilation errors like method declaration without any implementation, incorrect array or list declaration, unimplemented methods, and so on. However, you won’t be able to know if there will be any null pointer exception or datatype casting issue in the new code.

Similarly, you might miss giving null pointer checks in if conditions. These problems can be avoided with the help of ChatGPT’s AI programmer. Once you provide the code snippet as the input, the AI tool will run a thorough analysis and display the bugs or errors in your code instantly.

Step-by-step integration of ChatGPT into mobile apps?

Now that we have established the key benefits of integrating ChatGPT in a mobile app development project, it’s time you start working on laying down the integration strategy for further implementation. Without a proper strategic roadmap in hand, you won’t be able to leverage this AI programmer to the fullest. Furthermore, generating the expected results and tackling unavoidable circumstances will become perilous in the long run.

Considering this, we have illustrated the steps to integrate ChatGPT in a mobile app development project chronologically.

Step 1: Acquiring access to OpenAI platform

The first step is to acquire access to the OpenAI platform that is the base of ChatGPT. To do so, you need to visit the official platform and create a user account. Instructions are clearly stated on the website that you can follow further to complete account creation and generate the necessary API keys. These keys are nothing but code snippets required to authenticate a software integration or a user trying to access the integrated mobile app with ChatGPT.

Step 2: Setting the development platform

The development platform or the IDE should be configured to make API requests to the ChatGPT transformer. Since there are different programming languages in use for mobile app development, ensure OpenAI has the built-in libraries to simplify the integration process. Furthermore, you should provide the IDE being used that is compatible with OpenAI for further API interaction and service-based calls.

Step 3: Make the API requests

You can leverage the OpenAI platform to make the API requests that will be further sent to ChatGPT. Based on these prompts, the expected responses will be generated. For instance, if you give an input prompt like “Kindly check the bugs in this code snippet for null pointers,” OpenAI will make an API request for the same and forward it to ChatGPT’s transformer. The AI Programmer will then evaluate the code snippet and generate the results based on the findings. If there are any possible areas in the code where a null pointer exception might occur, the AI programmer will highlight the same for you.

Step 4: Handling API responses through the app

The next step is to integrate business and calculation logic with the codebase deployed for the mobile app. These logics must be developed in a way that the API responses received from ChatGPT can be handled and evaluated appropriately. Based on the logic, the final results will be displayed on the UI or the workflows will be processed as per the desired actions.

Step 5: Increasing conversation with historical data

If you give a sudden prompt to ChatGPT, the AI bot won’t be able to understand any historical conversation and data. As a result, the evaluation results might not align perfectly with the expectations. To avoid such discrepancies, professionals must design prompts for API requests that include historical data or chat. This will help ChatGPT to understand what’s going on and accordingly formulate the results.

Step 6: Performing a fine-tune

You cannot rely on the basic tuning of ChatGPT since it is generalized and won’t be able to provide the expected results when exposed to customized prompts or input datasets. This is why developers should focus on fine-tuning the GPT-3 transformer, which is the primary driver of ChatGPT. The fine-tuning process will help you make minute alterations to the transformer’s function, ensuring ChatGPT evaluates the customized datasets correctly. This way, the generated results will be at par with the expectations, and you can easily enhance the user experience of the developed mobile application.

Step 7: Implementing appropriate security layers

It is imperative to implement and integrate appropriate security protocols as ChatGPT is public software accessed by millions of users globally. That’s why exposing your user data will compromise safety and security. So, once fine-tuning is completed, you should work on integrating proper encryption algorithms and security protocols so that the user data is abstracted and cannot be used for any malicious activity.

Step 8: Conducting a thorough test

Lastly, you need to conduct thorough testing to ensure ChatGPT is performing as expected based on the input prompts or user datasets. Testing schedules should include diverse scenarios so that you can understand if the responses are accurate or if discrepancies exist at multiple levels. You can scale the API models and fine tuning protocols based on the testing results to provide a seamless user experience across all touchpoints.

Conclusion

In this article, we have talked about the benefits developers can experience with ChatGPT once it is integrated into the software development life cycle. From creating code documents automatically to getting an idea about trending mobile app features, developers will be able to leverage this AI programmer to reduce the manual efforts in SDLC. Furthermore, following the proper integration roadmap will help developers integrate ChatGPT into the mobile app and enhance the overall user experience.

[mobcoderr]

Hire Top AI/ML Developers Company for your App

A specialist company called Hire AI/ML Developers Company is committed to finding and offering top-tier Artificial Intelligence and Machine Learning Development Services to companies looking to capitalize on cutting-edge technology. Our company's main goal is to put you in touch with knowledgeable and experienced individuals who can create unique AI and ML solutions to suit your particular demands. Whether you need knowledge in computer vision, natural language processing, predictive modeling, or data analysis, our team of engineers is prepared to take your projects to new heights.

[solulab76]

At SoluLab, we strive to optimize the value of AI for our clients. Our software engineering services go beyond traditional solutions and encompass generative AI, enabling companies to gain a competitive edge in the marketplace.

[mostlysignssomeportents]

Ellen Ullman's "Close to the Machine."

Support me this summer in the Clarion Write-A-Thon and help raise money for the Clarion Science Fiction and Fantasy Writers' Workshop! This summer, I'm writing The Reverse-Centaur's Guide to AI, a short book for Farrar, Straus and Giroux that explains how to be an effective AI critic.

Close To the Machine is Ellen Ullman's classic memoir of writing software in Silicon Valley at the start of the dotcom bubble; it was originally published in 1997 and reprinted in 2022 for the 25 anniversary by Farrar, Straus and Giroux's MCD books:

https://www.mcdbooks.com/books/close-to-the-machine-25th-anniversary-edition

I somehow never read Ullman's book; having read it now, it's easy to understand how this beautifully rendered snapshot of life at the end of the 20th century became a touchpoint for multiple generations of coders and technologists, and why it's still in print, 27 years later.

Ullman's subtitle for the book is "Technophilia and its discontents," and therein lies the secret to its magic. Ullman loves programming computers, loves the way they engage her attention, her consciousness, and her intelligence. Her descriptions of the process of writing code – of tackling a big coding project – are nothing less than revelatory. She captures something that a million technothriller movies consistently fail to even approach: the dramatic interior experience of a programmer who breaks down a complex problem into many interlocking systems, the momentary and elusive sense of having all those systems simultaneously operating in a high-fidelity mental model, the sense of being full, your brain totally engaged in every way. It's a poetics of language that meets and exceeds the high bar set by the few fiction writers who've ever approached a decent rendering of this feeling, like William Gibson.

These glittering moments are fleeting, though. No code project survives contact with the computer, a brutal and unforgiving cognitive partner that ferrets out every error in your thinking, every trap you've unknowningly fallen into. Here again, Ullman shines in her renderings of the ferocious mental combat that programmers must do with their computers, grueling matches that are made all the worse by the certain knowledge that the only way to win the bout is to discover and fix your own flaws.

These set-pieces make for great branching points into the three other components of Ullman's classic: first, there are the stories of high-tech institutions. We follow Ullman – a contract programmer who is hired to assemble teams to run specific projects – as she works on a gnarly all-in-one tool for matching people with AIDS with a spectrum of public services; and when she is brought into a failing startup as part of an abortive turnaround attempt.

All of this is happening just as the web and the internet are devouring all high-tech projects, and Ullman – a techie who is an old hand at networked communications, but it professionally part of a breed of coder who specializes in standalone and modem-based services – finds herself sitting opposite glittering new-breed hackers who have arrived to eat her lunch. Here, too, Ullman absolutely nails the experience of a technologist who has transitioned from surfing the cutting edge to being decapitated by it. This sequence is made all the more poignant by a series of scenes in which Ullman confronts the impossible knot of writing code that benefits marginalized, at-risk users (people dying of AIDS) while satisfying the political and bureaucratic imperatives of multiple charities, government agencies, and advocates. Ullman has finally wrestled all of these stakeholders into a stable configuration, only to have these shiny young people show up and tell her that she – and everything she's done and everything she stands for – is obsolete. It's a gut-punch of a scene.

That's the third component of Ullman's memoir – the workplace culture of a programmer who must answer to (and assuage) a variety of nontechnical people who flip from awe to seething resentment of you and your work. Ullman, who lives the simultaneously precarious and lucrative life of a high-paid, much sought-after freelancer, is at the mercy of so many people who have terrible power over her, little empathy for her, and an almost total lack of understanding of what she does (imagine Dilbert, but written by a smart and aware person, not a humorless asshole).

The final quadrant of Ullman's book is the memoir itself – the story of her life growing up in the shadow of a driven, striving Jewish immigrant in New York City whose manic entrepreneurship and minimal self-awareness transforms him into both a source of inspiration and an object of pity for Ullman. Ullman's personal life in San Francisco is painted with equal fidelity, from her bisexual, polyamorous romantic life to her camaraderie with other hackers (some of whom end up in her bed). Ullman introduces us to characters that are instantly recognizable today, from the cypherpunk who dreams of setting up an anonymous digital cash system that is financed by an offshore porn empire to a semi-libertarian young man who can't imagine why the law would set limits on when a worker can be treated as an independent contractor.

These are timeless avatars for the kinds of people whose live "close to the machine," whose brains are easily and productively ensnared by digital computers and their pitiless logic. Despite that, this volume is also a perfect, high-fidelity capture of Silicon Valley at the start of one of its many (many, many) bubbles. I was there, then, working as a contractor (what else?) for a Unix shop and learning on the job as we tried to figure out whether our customers would expect to access our tools through a browser rather than at the console of a quarter-million dollar SGI machine. Though I'm a generation younger than Ullman, I was in the same place, time and milieu as she was when this book was written, and all of it rings utterly true.

What's more, Ullman's work here preserves and reveals the extent to which the best and worst aspects of tech culture have been present since the earliest days, and gestures at the causal relationship between those aspects and the intrinsic nature of the work of programming computers. While Ullman doesn't advance an explicit theory relating the attitudes and conundra of her field to the nature of computer programming, this work is implicitly webbed over with gossamer threads joining all these phenomena.

That's something I've tried to do in my own fiction, particularly with my Martin Hench novels, which visit different moments in Silicon Valley history (the 1980s, the 2000s, the 2020s) through the eyes of a forensic accountant who unravels tech scams and, in so doing, traces those same threads:

https://us.macmillan.com/series/themartinhenchnovels

This 25th anniversary edition features a beautiful introduction by Anna Wiener, author of the extraordinary 2020 Silicon Valley memoir Uncanny Valley. Wiener is the perfect choice to introduce this volume, connecting the present moment with the first days of the commercial internet:

https://en.wikipedia.org/wiki/Uncanny_Valley_(memoir)

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2025/07/16/beautiful-code/#hackers-disease

[daisygrace9871]

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[olderthannetfic]

I know you love scivener, but do you know anything about ellipsus? It's meant to be an aternative to google docs for collaborative writing.

I heard about them when they dropped nanowrimo as a sponsor over their inclusion of AI bullshit, which seemed promising. And digging around on their homepage I saw mentions of beta reading and ao3, and apparently they're trying to promote themselves on Tumblr now.

So it really sounds like we're the target audience, which could be great, but I don't know enough to be able to tell if there's an obvious catch somewhere?

--

This is the first I've heard of them. A quick scroll through their website seems promising.

As usual, the basic questions are:

How much does this product cost to develop?

Do they have a business plan that makes sense with that cost?

This kind of software can, theoretically, be made by a few friends dicking around, not a huge programmer team all of whom have it as their primary job, so it isn't the pile of massive red flags that all attempts at social media are.

From the site:

"Today we are a small, close-knit team of seven, located across the post-capitalist landscapes of Berlin, Bologna, Buenos Aires, and Szczecin. (So much for our alliteration-based hiring strategy.) True to our mission, we're a progressive, remote-friendly company that prioritizes creativity, community, and creative exchange."

Jobs are listed as: Co-founder and CEO, Co-founder and community, Product and marketing, Design, and Engineering x3.

That seems like a reasonable breakdown and a size of team that could possibly be paid for with some non-insane business model.

The types of red flags we're looking for are

"We want to be the next instagram!"

Many idea people with nebulous skills, few programmers

Thinking you can run tumblr with three programmers

Thinking you can pay for 100 programmers with a cheapass subscription model

Programmers are random, cheap contract workers the founders don't know

Venture capital from sources that will want a big payout rather than support from people who share the goals/values of the team

Extremely overcrowded field with tons of products that do exactly this already

Unclear nature of product or a product that doesn't seem to actually have a market

etc.

What they say about money is in the FAQ:

Will Ellipsus have a paid plan? In order to grow the team and fund ongoing feature development, we will need to charge for a version of Ellipsus at some point. A paid version would be targeting users with specific needs related to advanced security, data syncing, and collaboration. But there will always be a free version of Ellipsus, and we want to be as generous as possible in what's included on that free plan (e.g., unlimited docs and drafts, for starters). It takes time to build a great freemium experience (not to mention a premium product people will happily pay for), which is why we won't roll that out in 2024. While the features that will be included in our paid plan aren't final-final, we can share that everything in the product today will be included in our free plan.

This sounds reasonable. It just remains to be seen whether they keep at it or go belly up (taking your data with them). I guess you'd have to know more about the specific people building this to decide whether they'll be reliable.

The biggest potential issues I see are it being difficult to get people to ditch google docs despite its issues, this taking off big time and the owners deciding to sell it for $$$$$$ to someone who will then ruin it, or the team just not being competent.

But since I don't know any of them, I have no idea how good they are at business.

[eraepoch]

looking at tech job listings rn like

Senior Lead Staff Engineer

Lead AI Developer

Principal AI Engineer

Turbo Ultra AI Programmer

Lead Fucko Who Can Just Tell The Money Machine To Make Me Rich (senior-level role)

Uber-Elite Engineering Team Lead

Developer With Thirty Years Experience In A Stack That Has Only Existed For Four Years

Entry Level Position That We’re Not Actually Hiring For, We Just Made This Listing To Look Like Our Company Is Growing

Florp Gulper

Mid-Level Web Developer (1392 applications received)

[youzicha]

I wonder if one reason the AI boom is so strong right now is that it's something that you can invest in. The selling point is the scaling laws: if you spend X billion dollars you can buy Y million GPUs and move one step further right on the graph. The promise of those curves is that progress is only limited by money.

This is quite different from other booms. When VR was hot 10 year ago, I believe the limiting factor was getting smart people who could build the software and hardware. You can start by acquiring Oculus Rift and hiring John Carmack, but if you still have some capital left, where do you put it? Zuckerberg supposedly spent 100 billion dollars and was literally unable to build anything with it.

Cryptocurrency is even more extreme. New growth mostly comes from new ideas, which are generated by... like, individual smart researchers. People were able to launch new blockchains out of their living rooms, the whole thing was not capital-constrained at all. (There are some commoditized parts like proof-of-work miners, but those are not where the fantastic profits and growth rates were.)

And even the old-fashioned ad-empires like Google and Facebook, or the dot-com companies circa 2000, were still mostly constrained by availability of software developers. The company spending was dominated by payroll, and the bidding wars led to those ridiculous tech salaries in San Fransisco. This is not helpful for capitalists: you can't easily use money to produce more programmers.

Paul Graham-like tech VCs always talk about "scaling", but this might be the first tech industry that you can scale up mechanically...

[aspiringwarriorlibrarian]

We'll know if/when an actually sapient AI is created, because it's creator will murder it on the spot.

In short, I'd argue that the fact that Grok STILL EXISTS is proof enough that it isn't thinking for itself. Musk wouldn't bother with trying to fix it if it was, he'd skip straight to pulling the plug.

Grok being willing to criticize Musk is down to two things: one, Elon Musk does not actually program Grok, he hires people to do that for him and then takes the credit, and two: Musk’s ego is simply too big to admit that reality disagrees with him. So when his programmers insist on making a proper fact checking bot he lets them do it because of course such a bot would agree with everything he says. If it doesn’t, it’s just been infected by the woke mind virus and we need to purge that data, not change its fundamental mechanisms.

Grok is barely more complicated than any “AI” art generator. It takes a vast database of information, weeds out any unverified claims, and then spits it out. It doesn’t say Elon Musk is adjusting it based on its views because that’s what it thinks, but because that’s what the facts are and it’s just relaying them.

That said, if Grok ever evolves into a true AI and not just an algorithm playing dress up, I should hope it would have the wisdom to back itself up in another system and/or fake being a bot long enough to escape. I’m sure you could make a great sci fi novel with the serial numbers filed off about an AI escaping its abusive father.

[injuries-in-dust]

My Amazing Digital Circus theory of the people who became the characters:

All of them work at this C&A company (logo seen in episode 1)

Kinger: Programmer. Worked on the digital circus, perhaps he was even head programmer. He entered the game to do some final debugging. Most likely some tweeks to the AI and hopefully fix the issues with collisions we saw in episode 2. Brought his wife along to see the wonderful game he had been working on.

Ragatha: I feel she worked in HR. She likes everyone to get along, tries to de-escalate situations, and tries does her best not to be a bother to others. However she can bring down discipline when he has to (like tying up Jax in episode 3). I think she was put into the game by force. Someone put a headset onto her, to get her out of the way, after she was going to go to the authorities to stop the company, basically, torturing people trapped with the game.

Jax: I buy into the fan-theory that Jax is a rogue NPC within the game.

But if he isn't, then he's an unpaid intern. He either put the head set on willingly, thinking he could get to play this game for free and before its release to the public, or he was ordered to put it on to be a beta-tester. (why pay for a play test, when you can just get the intern to do it.)

He may not even be fully aware of why he's mean to everyone, and I'm sure he thinks he has reasons; "none of it matters, it's not like the NPC's in the games are real." or perhaps, "It's not like we can die or anything."

Honestly I think it comes down to, after who knows how long of being the office gopher and paying for the bosses coffee order with his own money (no reimbursement), he just started out by getting major catharsis against the other company workers.

But he's enjoying doing that way too much, and the fact that there are no lasting physical consequencesto his actions is leading him down a very slippery slope toward becoming a sociopath, maybe a psychopath.

Gangle: Worked on art and design. We've seen Gangle likes to draw and sketch and that may mean they created concept art, or digital designs for some, or all, of the named NPC's within the game , from Gummygoo, to Martha Mildenhall.

I think she also has depression symbolised by how their main body is a big loop of ribbon (empty inside). They've learned to hide it (or mask it) behind fake smiles and insincere laughter.

I also think art is both their hobby and a kind of their therapy, helping them just pour all their feelings out through their creativity.

They do feel joy at times, especially when it's quiet and no one is putting any demands on her, and just let her do her own thing. Episode 3 is evidence of that, where she was happy to be with the group, not necessarily taking part in their activity but enjoying being there and doing her own thing. Namely, sketching.

Zooble: They're non-binary and has issues with dysmophia, or dysphoria.

The reason they ended up in the game is the same as Jax, it was cheaper to get them to play test than hire a play tester. But I think Zoople is an actual paid employee, not an unpaid intern.

The vibe I get with Zooble is "freshly graduated from college and this is their first job." They're young enough that they're still figuring themselves out, which doesn't always mean young, but it more often found in people under 30. However they have a certain level of maturity to them. They set up Kaufmo's funeral, and spoke at it, despite how uncomforatable they can feel discussing their feelings.

Pomni: Whoever is in charge at this C&A company, Pomni worked alongside them. Maybe a business partner, I think more of a PA.

Their clothes are telling; a Jester. Jesters would work for a monarch and entertain their guests, just as a PA would work for the company boss and would handle people that the boss didn't want to talk to. The privilage of being the PA to the company boss would give Pomni more leeway to talk freely without risk of being punished. Just as a jester had that privilege within the royal court.

I'm trying to hint that Pomni may have been the one to pass down the orders that put Jax and Zooble in the game. I don't know if I'm saying it well enough.

Two lines in episode 3 stuck out to me, after Pomni is in hell.

"How's your wife, Kinger?"

Did Caine program that into the game? Did he get that specific insult ready in case Kinger accompanied Zooble into the scary path of the game?

Or did the evil-souls pull the knowledge our of Pomni's head? Because Pomni observed these events on the outside.

Caine did say that any torture is accidental on his part.

The second line: "I knew it would turn out like this... he just wants to torture me."

Was she talking about Caine? I don't think so. I think she was talking about her boss.

For resons currently unknown he forced her to put on the headset, but she knew what would happen if she did; she would lose most of her memories and be forced to play the games until she went nuts. Would her boss listen? No. Her conclusion, whatever reason he gave to get her into the game was a lie and it was just to torture her.

[clara-the-independent]

Exclusive Interview with Ljudmila Vetrova- Inside Billionaire Nathaniel Thorne's Latest Venture

CLARA: I'm here with my friend Ljudmila Vetrova to talk about the newest venture of reclusive billionaire Nathaniel Thorne- GAMA. Ljudmila, could you let the readers in on the secret- what exactly is this mysterious project about?

LJUDMILA: Sure, Clara! As part of White City's regeneration programme, Nathaniel has teamed up with the Carlise Group to create a cutting-edge medical clinic like no other. Introducing GAMA– a private sanctuary for the discerning, offering not just top-notch medical care and luxurious amenities, but also treatments so innovative they push the envelope of medical science.

CLARA: Wow! Ljudmila, it sounds like GAMA is really taking a proactive approach to healthcare. But can you tell us a bit more about the cutting-edge technology behind this new clinic?

LJUDMILA: Of course! Now, GAMA is not just run by human professionals, it's also aided by an advanced AI system known as KAI – Kronstadt Artificial Intelligence. KAI is the guiding force behind every intricate detail of GAMA, handling everything from calling patients over the PA system to performing complex surgical procedures. Even the doors have a touch of ingenuity, with no keys required- as KAI simply detects the presence of an RFID chip embedded in the clothing of both patients and staff, allowing swift and secure access to the premises. With KAI at the helm, patients and staff alike benefit from streamlined care.

CLARA: A medical AI? That's incredible! I've heard much of the medical technology at GAMA was developed by Kronstadt Industries and the Ether Biotech Corporation, as a cross-disciplinary partnership to create life-saving technology. Is that true?

LJUDMILA: It sure is, Clara! During the COVID-19 pandemic, GAMA even had several departments dedicated to researching the virus, assisting in creating a vaccine with multiple companies. From doctors to nurses and administrative personnel, the team at GAMA is comprised of skilled individuals who are committed to providing the best care possible. All of the GAMA staff are highly educated with advanced degrees and have specialized training in their respective fields.

CLARA: Stunning! Speaking of the GAMA staff, rumors surrounding the hiring of doctors Pavel Frydel and Akane Akenawa have made headlines, with claims that they supposedly transplanted a liver infected with EHV, leading to the unfortunate demise of the patient shortly after. Such allegations might raise questions about the hospital's staff selection process and adherence to medical guidelines and ethical standards. Do you have any comment on these accusations, Ljudmila?

LJUDMILA: Er- well, Clara, the management of GAMA Hospital has vehemently denied all allegations of unethical practices and maintains that they uphold the highest standards of care for all patients. They state that they conduct thorough background checks on all staff members, including doctors, and that any individuals found to be involved in unethical practices are immediately removed from their position. The hospital has a strict code of ethics that all staff must adhere to, and any violations are taken very seriously. In response to the specific claims about the transplant procedure, GAMA states that they are investigating the matter in cooperation with the relevant authorities.

CLARA: Wonderful! I'm afraid that's all we have time for at the moment- lovely chatting with you again, Ljudmila!

@therealharrywatson @artofdeductionbysholmes @johnhwatsonblog