#GitHubCopilot

[spookysphereswarm]

Will OpenAI Codex, The AI Coding Agent, Replace Software Engineers?

Introduction: The Rise of AI in Software Development

Artificial Intelligence (AI) is currently the most disruptive technology in tech, and OpenAI Codex, the powerful AI coding agent, is at the forefront. Built on the same tech powering ChatGPT, Codex can write code, build applications, and automate mundane programming tasks. But the question on every programmer's mind is: Can OpenAI Codex substitute for software engineers?

Let's dive deep into this groundbreaking tech and explore its impact on software engineering careers.

What Is OpenAI Codex?

OpenAI Codex is a powerful AI model that has been trained on billions of lines of public code in repositories like GitHub. It is able to read natural language and translate it into working code in various programming languages, such as Python, JavaScript, Java, and more. From developing simple scripts to generating full-fledged apps, Codex acts like an amplified coding assistant.

Major Features:

Autocompletes code according to context

Translates plain English into working code

Generates boilerplate and redundant code skeletons

Builds websites, games, and even APIs from scratch

Will Codex Replace Software Engineers?

 Short answer: No way. But it will radically change the way developers develop.

1. Automation of Repetitive Work Codex excels at automating boring tasks like generating test cases, boilerplate code, and API wrapping. This frees engineers to focus on higher-level logic and design decisions.

2. Prototyping and MVP Creation Much Faster Startups and small teams can use Codex to speed up prototyping. It allows solo founders or junior engineers to make things happen without needing a big engineering organization.

3. Skill Enhancement, Not Replacement For experienced developers, Codex is an accelerator, not a replacement. It's a syntax assistant that suggests better code patterns, even for debugging—it's like having a live pair programmer.

Limitations of Codex: Why Human Engineers Still Matter

Despite its prowess, Codex has major flaws:

Does Not Understand Deep Context: It cannot fully grasp business logic or domain complexity.

Error-Prone for Hard Cases: Codex can produce buggy or vulnerable code without human oversight.

No Architectural Choices: AI is still not capable of writing scalable systems or trade-offs in architectural design.

Software development isn't all about writing code—it's about solving problems, collaborating with others, and releasing maintainable, secure code. AI can't replace those qualities of human-ness, at least not today.

The Future: Human-AI Partnership in Software Engineering

Rather than replacing jobs, OpenAI Codex will redefine them. What software engineers do will shift from being code writers to AI-powered problem solvers. Developers will need to adapt, learning how to operate in concert with AI tools.

Just like calculators did not render mathematicians redundant, Codex will not render software engineers redundant. It will, however, become the essential tool for every developer.

Conclusion: Adapt, Don't Fear OpenAI Codex is a gigantic leap forward in development by AI, but it's not a killer project—because it's a game-changer. Codex offers excellent opportunities to get smarter and faster for those willing to evolve with the technology. The future isn't about AI vs engineers—but AI and engineers working together to build the future.

[aiandemily]

コード生成AIツール完全ガイド！おすすめ5選と活用のコツを徹底解説

[govindhtech]

Microsoft Introduces Agentic DevOps for Software Development

DevOps agent

Agentic DevOps: Microsoft Azure and GitHub Copilot for software development

Agentic DevOps: Microsoft's Next Software Development Trend at Build 2025

Microsoft launched Agentic DevOps, a new technique that leverages intelligent agents to rethink application creation and maintenance, marking a major milestone in the software development lifecycle. Agentic DevOps, the “next evolution of DevOps,” envisions AI agents working with developers and each other to automate and optimise the software lifecycle.

As it celebrates its 51st anniversary, the company is reimagining its founding as a “software factory” developed by developers for developers. The idea is to help engineers “break free from the grind,” restoring the “joy, your flow, and the magic of building” lost in rising demands, complexity, and technological debt. Besides coding, developers spend a lot of time designing systems, going through documentation, troubleshooting, refactoring, and fighting legacy code.

Agentic workflows are offered by GitHub Copilot, which is crucial to this shift. GitHub Copilot, already used by 15 million developers to speed up development, is expanding beyond code completion to enable agentic workflows, which help teams move from idea to production faster, improve code quality, collaborate faster, fortify security, pay off technical debt, and maintain app smoothness.

Microsoft is making GitHub Copilot available to all Visual Studio Code users to promote openness and community-driven innovation.

The Agentic DevOps announcement includes new developer-focused agents. A new coding agent elevates GitHub Copilot from pair programming to “peer” status in the development team. This agent can manage complex, multi-step coding jobs with other agents. Developers may assign it code reviews, test authoring, issue solutions, and full specification implementation.

It works across files and recommends terminal commands from a single prompt. Popular code editors including Microsoft Visual Studio Code, JetBrains, Eclipse, and Xcode offer “Agent mode”. Due to its audit logs and branch controls, this agent's suggested changes must be evaluated before deployment.

New Azure Site Reliability Engineering (SRE) Agents go beyond development. A 24/7 production system monitor spares developers of late-night warnings. It automatically diagnoses and fixes problems. The SRE Agent evaluates application health and performance in Azure Kubernetes Service (AKS), Azure App Service, serverless, and databases using Microsoft's worldwide experience.

It can solve problems itself or guide developers through root cause analysis. Note that repair items and remedial activities are documented as GitHub issues for team follow-up. Resilient, self-healing technologies allow teams to relax and focus, recover faster, and have fewer wake-up calls.

Agentic DevOps aims to address technical debt. With mainframe modernisation imminent, GitHub Copilot is offering new app modernisation services to help developers update stacks, focussing on legacy Java and.NET workloads. These features enable code assessments, dependency updates, and remediation by providing visibility and control over changes and automatically building and executing update plans. The goal is to produce cost-effective, safe, and stable apps so developers can focus on innovation rather than the past.

Azure's platform supports these capabilities with AI + machine learning services like Azure AI Foundry and Azure OpenAI in Foundry Models, containers (Azure Kubernetes Service, Azure App Service), databases (Azure Cosmos DB, Azure DB for PostgreSQL), and monitoring (Azure Monitor). Azure AI Foundry is a “AI App and agent factory” that lets you test cutting-edge models from several providers in the GitHub workflow with a new native integration. This integration lets GitHub Actions users invoke, compare, and exchange models via a single API.

Microsoft calls Agentic DevOps “as transformative as the shift to the cloud” and “seismic shift.” It promises to minimise friction, simplify processes, and rewrite decades-old cost structures that hampered teams. Agentic DevOps automates monotonous tasks to free developers to create the future and enhance productivity.

Microsoft Build 2025 guests are encouraged to explore this future with talks on agentic AI, GitHub Copilot, faster Azure development, app modernisation with AI, and agent mode in action.

[blue-headline]

AI boosts junior developer productivity by 39%.

But senior devs? Not so much.

A real-world study across Microsoft, Accenture, and a Fortune 100 firm found something wild: new devs adopted GitHub Copilot faster, used it more—and saw massive gains in output.

It’s not just about writing code faster. It’s about how teams are evolving.

👉 Is AI the new mentor? 👉 Are senior devs falling behind—or just working differently?

💬 What do you think? How has AI changed your approach to coding, mentoring, or onboarding?

Read the full breakdown: https://blueheadline.com/software-dev/ai-helps-new-developers-but-seniors/

[scriptzol]

🧠 Web Dev Quiz 2025!

Which AI tool helps devs code with smart suggestions?

A. WordPress B. Shopify C. GitHub Copilot D. Elementor

👇 Drop your answer!

Tag a dev friend! 🚀

[chatgptappdevelopment]

AI Copilot & ChatGPT App Development: A Beginner’s Guide

Introduction: Why AI Copilots & ChatGPT Apps Matter

Imagine having a smart assistant that writes code for you, answers customer queries instantly, or even drafts emails—saving you hours of work. That’s exactly what AI Copilots and ChatGPT apps do!

If you're a business owner, developer, or tech enthusiast, you’ve probably heard about:

ChatGPT (OpenAI’s powerful chatbot)

GitHub Copilot (AI that helps write code)

AI Copilots (virtual assistants for businesses)

But how do they work? And how can you find the top ChatGPT app development company in the UK or the best AI Copilot development company to build one for you?

This guide breaks it all down in simple, jargon-free language. Let’s dive in!

What Are AI Copilots & ChatGPT Apps?

1. ChatGPT & OpenAI Chatbots

ChatGPT is an AI-powered chatbot created by OpenAI. It can:

Answer questions in natural language

Write emails, articles, and even code

Assist in customer service

Popular terms you might see:

OpenAI chat (the platform where ChatGPT runs)

Chat OpenAI GPT (referring to ChatGPT’s technology)

2. AI Copilots (Like GitHub Copilot)

An AI Copilot is an assistant that helps with tasks like:

Writing & debugging code (GitHub Copilot)

Automating business workflows

Enhancing productivity with AI suggestions

Companies now hire AI Copilot development companies to build custom assistants tailored to their needs.

Why Should You Care?

Here’s why businesses are rushing to adopt these AI tools:

✅ Save Time – Automate repetitive tasks. ✅ Boost Efficiency – Get instant AI-powered help. ✅ Improve Customer Service – ChatGPT chatbots handle queries 24/7. ✅ Stay Competitive – Companies using AI outperform those that don’t.

If you’re in the UK and need AI solutions, working with the top ChatGPT app development company in the UK or the best AI Copilot development company ensures you get expert help.

How to Choose the Right Development Company

Looking for a ChatGPT app development company or an AI Copilot development company? Here’s what to check:

1. Experience with OpenAI & AI Tools

Do they have case studies on ChatGPT integration?

Have they built custom AI Copilots before?

2. Client Reviews & Reputation

Look for top-rated AI development companies in the UK.

Check testimonials on platforms like Clutch or Trustpilot.

3. Customization & Support

Can they tailor solutions to your business?

Do they offer ongoing AI support?

Real-Life Examples of AI Copilots & ChatGPT Apps

Example 1: Customer Support Chatbots

Many UK businesses use OpenAI chat bots to handle FAQs, reducing response times.

Example 2: GitHub Copilot for Developers

Developers use AI Copilot tools to write code faster with fewer errors.

Example 3: AI-Powered Business Assistants

Companies integrate AI Copilots into workflows for scheduling, data analysis, and more.

FAQs

Q1: What’s the difference between ChatGPT and an AI Copilot?

ChatGPT is a conversational AI (like a chatbot).

AI Copilot assists in tasks (like coding or business automation).

Q2: How much does it cost to develop a ChatGPT app?

Costs vary, but working with a top ChatGPT app development company in the UK ensures quality and efficiency.

Q3: Can AI Copilots replace human jobs?

No! They enhance productivity, not replace workers.

Conclusion: Ready to Leverage AI?

AI Copilots and ChatGPT apps are game-changers for businesses. Whether you need a custom chatbot or a smart AI assistant, partnering with the right AI Copilot development company or ChatGPT app development company is key.

Need help? If you're looking for the top AI Copilot development company in the UK or expert OpenAI chat bot developers, drop a comment below or contact us today!

[xiffu85]

[magnusmindsitsolution]

Top 9 Software Development Trends for 202

Welcome to our blog, your go-to source for exploring the most significant software development trends of 2024. In an ever-evolving tech landscape, staying ahead of the curve is crucial for professionals and businesses alike. Our blog provides an in-depth analysis of the latest advancements, including generative AI, quantum computing, edge computing, and more. We aim to shed light on emerging technologies and industry shifts that could impact your development practices and strategic decisions.

By diving into topics such as low-code/no-code platforms, green IT practices, and the latest in cybersecurity, we offer valuable insights and practical guidance to help you navigate and leverage these trends effectively. Whether you’re looking to enhance your development processes, embrace new technologies, or understand the implications of these advancements, our blog is here to keep you informed and prepared.

🔗 Read the full article to dive deeper into these trends and understand their impact on your work and business.

Stay ahead of the curve and explore how these trends can drive growth and efficiency in the tech world. 🚀

[dztechs]

GitHub Copilot أم ChatGPT: أيهما أفضل للمهام البرمجية؟

يُعد GitHub Copilot وChatGPT من أكثر نماذج الذكاء الاصطناعي شيوعًا المُتاحة للمساعدة في مهام البرمجة. حيث أنها تستخدم نفس نموذج اللغة الكبير (LLM) لـ GPT وهي قادرة على إنشاء التعليمات البرمجية واقتراحها والتحقق منها. تحقق من كيف يُمكن لمجتمعات المُطورين الطلابية تعزيز مهاراتك في البرمجة وتطوير مسار مهني ناجح. Read the full article

[ebelal56-blog]

AI Is Revolutionizing Programming With Vibe Coding

🔮 Experience the Future of Programming with Vibe Coding! 🔮 Step into the next era of software development where human creativity meets AI automation. Vibe Coding is an immersive, cutting-edge technique that transforms how developers write, design, and collaborate on code. 🚀 What is Vibe Coding? Vibe Coding is a revolutionary approach to programming that leverages natural language, AI tools like GitHub Copilot and ChatGPT, and emerging tech like edge computing and data mining. Say goodbye to rigid syntax and hello to expressive, intuitive design exploration. ✨ Why Vibe Coding? ✅ User-driven, conversational coding ✅ Real-time collaboration with AI ✅ Empowering beginners & experts alike ✅ Faster prototyping and design iteration ✅ Focus on creativity and innovation over complexity 🎨 Imagine expressing your app idea in plain language and watching it come to life with AI assistance. Whether you're a seasoned dev or just starting out, Vibe Coding helps you turn imagination into reality — fast. 💡 Join the movement transforming the developer experience. Let’s build the future, one vibe at a time. 👇 WATCH NOW and SUBSCRIBE for more tech insights, tutorials, and innovation spotlights! #VibeCoding #FutureOfProgramming #AIInDevelopment #GitHubCopilot #ChatGPT #CodeWithAI #NoCodeMovement #TechInnovation #ProgrammingRevolution #CreativeCoding #AIProgramming

[virtualizationhowto]

Best Self-hosted GitHub Copilot AI Coding Alternatives #githubcopilot #aicodingassistant #ai #llm

[govindhtech]

GitHub Copilot for Azure: New Tools Help AI App Development

GitHub Copilot for Azure

Azure at GitHub Universe: New resources to make developing AI apps easier

Microsoft Azure is to be part of this shift as a development firm that produces for other developers. Many of its employees will be at GitHub Universe to share their experiences and learn from others about how artificial intelligence is changing the way we work. I’m thrilled to share new features and resources incorporating Microsoft Azure AI services into your preferred development tools.

Microsoft’s AI-powered, end-to-end development platform, built on a solid community, seamlessly integrates Visual Studio (VS) Code, GitHub, and Azure to assist you in transforming your apps with AI. For more information, continue reading.

What is GitHub Copilot?

GitHub Copilot is an AI-powered coding assistant that makes it easier and faster for developers to create code. As developers type, it offers contextual aid by suggesting code, which could be a line completion or an entirely new block of code.

Code creation

Full lines and functions can be generated using Copilot. You can write code and have Copilot finish it or describe it in normal language.

Fixing errors

Copilot can remedy code or terminal errors.

Learning

Copilot can help you master a new programming language, framework, or code base.

Documentation

Copilot generates documentation comments.

A large language model (LLM) generates fresh content for Copilot by analyzing and processing massive volumes of data. It writes JavaScript, Python, Ruby, and TypeScript.

Copilot works in your IDE or command line. It’s also available on GitHub.com for enterprise users.

GitHub Copilot for Azure, your expert, is now available in preview

GitHub Copilot for Azure expands on the Copilot Chat features in Visual Studio Code to assist you in managing resources and deploying apps by connecting with programs you currently use, such as GitHub and Visual Studio Code. Without revealing your code, you can receive tailored instructions to learn about services and tools by using “@ azure.” Using Azure Developer CLI (azd) templates to provision and deploy Azure resources helps speed up and simplify development. Additionally, GitHub Copilot for Azure assists you with troubleshooting and answering inquiries regarding expenses and resources, allowing you to devote your time to your preferred activities while GitHub Copilot for Azure handles the rest.

Use AI App Templates to deploy in as little as five minutes

AI App Templates let you get started more quickly and streamline the review and production process, which speeds up your development. AI App Templates can be used directly in the development environment of your choice, including Visual Studio, VS Code, and GitHub Codespaces. Based on your AI use case or situation, GitHub Copilot for Azure can even suggest particular templates for you.

The templates, which offer a range of models, frameworks, programming languages, and solutions from well-known AI toolchain suppliers including Arize, LangChain, LlamaIndex, and Pinecone, most significantly give freedom and choice. You can start with app components and provision resources across Azure and partner services, or you can deploy entire apps at once. Additionally, the templates include suggestions for enhancing security, such as utilizing keyless authentication flows and Managed Identity.

Personalize and expand your AI applications

GitHub announced today that GitHub Models is currently in preview, bringing Azure AI’s top model selection straight to GitHub, enabling you to swiftly find, learn, and experiment with a variety of the newest, most sophisticated AI models. Expanding on that theme, you can now explore and utilize Azure AI models directly through GitHub Marketplace with the Azure AI model inference API. For free (use limits apply), compare model performance, experiment, and mix and match different models, including sophisticated proprietary and open models that serve a wide range of activities.

You can easily set up and connect in to your Azure account to grow from free token usage to premium endpoints with enterprise-level security and monitoring in production after you’ve chosen your model and are prepared to configure and deploy.

Use the GitHub Copilot upgrade assistant for Java to streamline Java Runtime updates

It can take a lot of time to keep your Java apps updated. The GitHub Copilot Java upgrade helper provides a method that uses artificial intelligence (AI) to streamline this procedure and enable you to update your Java apps with less manual labor. The GitHub Copilot upgrade assistant for Java, which is integrated into well-known programs like Visual Studio Code, creates an upgrade plan and walks you through the process of upgrading from an older Java runtime to a more recent version with optional dependencies and frameworks like JUnit and Spring Boot.

Using a dynamic build or repair loop, the assistant automatically resolves problems during the upgrade, leaving you to handle any remaining mistakes and apply changes as needed. By granting you complete control and enabling you to take advantage of improved AI automation at every stage, it guarantees transparency by giving you access to logs, code modifications, outputs, and information. After the upgrade is finished, you can quickly go over the comprehensive summary and check all code changes, which makes the process seamless and effective and frees you up to concentrate on creativity rather than tedious maintenance.

Use CI/CD workflows to scale AI apps with Azure AI evaluation and online A/B testing

You must be able to conduct A/B testing at scale and regularly assess your AI applications given trade-offs between cost, risk, and business impact. GitHub Actions, which can be easily included into GitHub’s current CI/CD workflows, are greatly streamlining this procedure. After changes are committed, you can use the Azure AI Evaluation SDK to compute metrics like coherence and fluency and perform automatic evaluation in your CI workflows. After a successful deployment, CD workflows automatically generate and analyze A/B tests using both custom and off-the-shelf AI model metrics. You can also interact with a GitHub Copilot for Azure plugin along the route, which facilitates testing, generates analytics, informs choices, and more.

You can trust Azure with your business, just as we trust it with ours

The platform you select is important as you investigate new AI possibilities for your company. Currently, 95% of Fortune 500 businesses rely on Azure for their operations. Azure is also used by its company to run programs like Dynamics 365, Bing, Copilots, Microsoft 365, and others. You have access to the same resources and tools that it use to create and manage Microsoft. Building with AI on Azure is made easier by its interaction with GitHub and Visual Studio Code. Additionally, Azure provides a dependable and secure basis for your AI projects with over 60 data center regions worldwide and a committed security staff. These are all excellent reasons to use Azure and GitHub to develop your next AI application.

GitHub Copilot pricing

There are various GitHub Copilot pricing tiers for people, businesses, and organizations:

Copilot individual

Individual developers, freelancers, students, and educators can pay $10 a month or $100 annually. It is free for verified students, instructors, and maintainers of well-known open source projects.

Business copilot

$19 per user per month for companies looking to enhance developer experience, code quality, and engineering velocity.

Your billing cycle can be switched from monthly to annual at any moment, or the other way around. The modification will become effective at the beginning of your subsequent payment cycle.

Read more on Govindhtech.com

[ardinate]

Top AI Coding Writing Tools in 2025: Boost Your Programming Skill!

#AICodingTools #Programming #WebDevelopment #GitHubCopilot #ARDINATE #TechTools #2025Tech #CodeWriting #SoftwareDevelopment #AI