Nick Tune, Senior Staff Software Engineer at PayFit, shares his advanced agentic coding workflow built around deterministic, state-machine-driven processes. Key practices include modeling the dev workflow as a typed state machine with unit-tested transitions, using PRD expert agents for structured planning before writing any code, enforcing architecture rules via lint and dependency-cruiser checks rather than relying on AI compliance, running layered code reviews with CodeRabbit and local review agents, and driving Claude through a strict TDD red-green cycle with verified pre/post-conditions. The approach prioritizes determinism over prompt-based trust, using pre-commit hooks and banned commands to prevent AI from bypassing guardrails.
Table of contents
Unblocked: Context that saves you time and tokens (Sponsored)1. Who is Nick?2. How do you use AI tools in general?3. What is your main agentic workflow for coding?4. How do you plan first?5. How do you implement the initial code structure?7. How do you improve code quality and correctness of AI-generated code?8. How do you do code reviews?9. How do you create tests?10. What are some useful techniques you use?11. Anything else worth mentioning?More ways I can help youWant to advertise in Tech World With Milan? 📰Love Tech World With Milan Newsletter? Tell your friends and get rewards.Sort: