I asked Claude, ChatGPT, and Gemini to debug a Python error, and the difference was too noticeable to ignore.

Most AI coding benchmarks still ask the question: did the agent produce code that passes the current tests? This is a useful question, but it is too narrow. Software development is iterative.

Tests of how well 19 large language models (LLMs) complete and perform complicated multi-step tasks has shown that they are both error-prone and, in many cases, unreliable. They said that the ...

While much attention regarding AI has been focused on developers using it to code, the impact of AI on software development goes far beyond code creation tools. Armando Solar-Lezama, Distinguished ...

Creating self-improving AI systems is an important step toward deploying agents in dynamic environments, especially in enterprise production environments, where tasks are not always predictable, nor ...

OXFORD, England--(BUSINESS WIRE)--Diffblue today announced the general availability of the Diffblue Testing Agent, an autonomous regression test generator that works with an enterprise’s existing AI ...

March 2026 TIOBE Index stays largely steady, with SQL and R swapping spots, as Paul Jansen explains why the index still relies on search engine hits. March doesn’t bring a dramatic reshuffle at the ...

A clear understanding of the fundamentals of ML improves the quality of explanations in interviews. Practical knowledge of Python libraries can be a great strength in technical discussions. Knowing ...

If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...

Source: Photo by Cottonbro Studio from Pexels You may have heard the whole "clear coding" term floating around the dating world. After all, the dating app Tinder has listed clear coding as one of the ...