Better instructions make agents more software-ready. Agent-ready software goes further by encoding stable rules into APIs, types, and executable constraints, so the system protects its boundaries even when the agent’s context fails Don't miss the article.
Coding agents make practice cheaper, bringing us closer to the failures that make theory click. But reaching a working application sooner can disguise how much we still need to learn. The opportunity is to combine faster iteration with strong fundamentals, turning each attempt into better engineering judgment. Don't miss the article.
Reliable agents require eval pipelines that combine executable checks with calibrated judgment, turn real failures into regression tests, and produce enough evidence to justify release without eliminating uncertainty.. Don't miss the article.
