Spec-driven development means making your intent explicit before you start coding, says Ewan Mc Phail, lead AI engineer at ...

Every evolution in software development has reduced the friction between an idea and a deployable application. AI may remove ...

For years, the promise of AI in software engineering has delivered incremental gains. Most organizations have adopted an ...

AI agents, prompts, and MCP tools now shape software builds, forcing teams to track provenance beyond packages and generated ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

Legendary software engineer Kent Beck says coders are at risk not only because of AI, but because of their lack of people ...

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.

Boris Cherny is the creator of Anthropic’s Claude Code tool, which writes code on behalf of developers based on a text prompt. Cherny hasn’t handwritten code in eight months; instead, he manages ...

Most enterprise software delivery models were designed for a world in which code production was expensive and human effort was the scarce resource.

AI isn't failing because models are bad; it's struggling because most industries lack the structured workflows needed to ...

AI can scan millions of lines of code a lot faster than any human, but there is a dilemma. Who will go through the bug ...

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