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

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

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, ...

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

The CodeRabbit report found that AI-generated code falls short of meatbag-made code across the major issue categories. The ...

Microsoft is rolling out GPT 5.2 to Copilot on the web, Windows, and mobile as a free upgrade, and it'll coexist with the GPT ...

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

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

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found ...

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 ...

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...