Agentic systems may automate repetitive coding and operational tasks, but humans must still define goals, ask better ...

In this article, I’ll walk through how AI-assisted self-healing can reduce that burden without turning automation into a ...

In traditional software engineering, serious bugs become regression tests. We should apply the same rigorous approach to ...

President Trump’s second attempt to restrict birthright citizenship tees up another legal battle over the meaning of the 14th ...

A summary of Financial Times reporting describes how Bain & Company has built hundreds of software prototypes as part of what ...

Three days after OpenAI published the most detailed public account yet of AI coding agents working on real scientific software, the company named its next major model family — Astra — and confirmed ...

Five teams in the Rust project have adopted a formal policy governing how large language models can be used when contributing ...

The question now is whether AMD has built the engineering machine to hit it. Last week, we argued that AMD’s next reinvention ...

Enterprises will find success with a complete agentic AI environment where agents plan, retrieve, remember, and act reliably ...

Perplexity's open-source Numbat watches AI coding agents on endpoints, adding detection and opt-in blocking after OpenAI's ...

This is because shifting testing earlier in the development cycle, on its own, does not make a team faster. It works only if your team understands one thing. Speed comes from the quality and volume of ...

As AI agents gain autonomy inside enterprises, the biggest cybersecurity threat may no longer be hackers, but the agents ...