Part 10/16:
Fowler suggests that more frequent, smaller cycles are the way forward. Speeding up feedback loops helps ensure quality and makes development more resilient. AI tools can facilitate this, but only if we’re vigilant about verification and maintaining understanding.
He notes that automated refactoring, historically a disciplined and incremental practice, remains foundational. As AI produces more code faster, refactoring for clarity, correctness, and maintainability will grow in importance.
AI's Impact on Enterprise and Industry
Unlike startups eager to experiment, large enterprises are more cautious, especially in regulated sectors such as finance, healthcare, and government. Fowler explains that: