Show notes
Can a detailed specification make AI-generated software reliable, or does it simply move the ambiguity somewhere else? Chris Romeo, Izar Tarandach, and Matt Coles revisit spec-driven development and the promise that an agent can turn written intent into a correct implementation. They debate why earlier approaches struggled, whether natural language is enough, and how tests can fail when the same AI writes both the code and its checks. The conversation explores bounded models, the Phoenix idea...
