At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

The CodeRabbit report found that AI-generated code falls short of meatbag-made code across the major issue categories. The bots created more logic and correctness errors (1.75x), more code quality and ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

Discover the leading code analysis tools for DevOps teams in 2025. Enhance your software development process with automated security and quality checks to mitigate risks and improve code health.

With a new year upon us, software-security experts disagree on SBOM utility — in theory, SBOMs are great, but in practice, ...

Discover the 10 best Infrastructure as Code (IaC) tools for DevOps teams in 2025. Learn how these tools enhance automation, stability, and scalability in cloud environments. Improve your deployment ...

The Hindu’s Data Team recently published an article detailing discrepancies in voter deletions across polling booths in Tamil ...

As schools and universities take varying stances on AI, some teachers believe the tech can democratize tutoring. Here's how - and where the drawbacks lie.

Programming is the oxygen that powers tech platforms and software creation. Traditionally, computer programming is heavy on the use of human professionals who write code that instruct a computer, tech ...