Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

I started my career as an architect and coder working on AI algorithms for image processing, natural language processing, and search. Flash-forward to today, my coding is limited to low-code platforms ...

Three years ago AI-powered code development was mostly just GitHub Copilot. GitHub's AI-powered developer tool amazed developers with its ability to help with code completion and even generate new ...

AI coding platforms are becoming crucial infrastructure, but governance, verification and trust are now major challenges.

AI-based coding tools won't be able to compete with the LLM giants. Observability is one possible way to differentiate the tools. Some startups will get acquired, others will go out of business.

AI tools are revolutionizing software development by automating repetitive tasks, refactoring bloated code, and identifying bugs in real-time. Developers can now generate well-structured code from ...

In addition to solving many problems around fast, easy and accurate software code generation, AI will help create much more new code. That will create problems for everyone managing it. But, those ...

AI is generating code faster than humans can ever hope to verify. If your QA strategy hasn't evolved to match the speed of AI generation, your systems are living on borrowed time.

The use of large language models (LLMs) for code generation surged in 2024, with a vast majority of developers using OpenAI's ChatGPT, GitHub Copilot, Google Gemini, or JetBrains AI Assistant to help ...