Paul Duvall, author of Continuous Integration, argues that agentic AI is reinforcing rather than replacing core engineering discipline. As AI generates increasing volumes of code, practices like trunk-based development, automated testing, and specification-driven development become more critical. Duvall's open-source repository documents evolving patterns for AI-assisted development, including spec-driven workflows, codified rules, and observable development. Paul Stack and Gergely Orosz echo similar themes: Stack restructures workflows around GitHub Issues and agent-readable specs instead of pull requests, while Orosz describes 'remixing' contributed PRs via agents. All three emphasize that clear upfront specifications, architectural constraints, and shift-left/shift-right feedback loops are essential to avoid unpredictable AI output. Duvall also suggests AI may enable smaller, more focused teams as coordination overhead decreases.
Sort: