Getting into Flow State with Agentic Coding

9 months ago

The author describes a workflow for using AI agents (Claude Code) in software development to enhance productivity and maintain flow state.
Key steps include setting up a master AI instructions file to avoid repetitive explanations, planning tasks meticulously with the AI agent, and then executing the plan with specialized agents (Implementer, Tester, Documenter).
The planning phase is emphasized as crucial for providing high-quality context to AI agents, ensuring better output and allowing seamless continuation of work.
The author advocates for breaking down features into multiple stacked PRs, each with a discrete plan, to manage complexity and maintain code quality.
Verification and refactoring are highlighted as essential steps to ensure code correctness and cleanliness, with the author leading the strategy and using AI agents for execution.
The final review involves checking the code in a different context (e.g., GitHub PRs) to catch any missed mistakes, maintaining high standards.
The workflow allows the author to focus on deep work and strategic thinking while delegating boilerplate and repetitive tasks to AI agents.

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