AI-assisted tools are now integrated across the delivery lifecycle-accelerating code generation, improving test coverage, and enhancing observability and incident response. As AI transforms how ...

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

Stop hardcoding every edge case; instead, build a robust design system and let a fine-tuned LLM handle the runtime layout ...

Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files ...