What happened
Software engineer Boris Tane published a structured workflow for Anthropic’s Claude Code after nine months of primary use. The methodology strictly separates planning from execution to maintain architectural control. Instead of relying on chat interfaces or built-in planning modes, the workflow forces the AI to generate persistent markdown files for codebase research and implementation plans. Developers review and annotate these documents inline to correct assumptions and add constraints. The model only generates code by executing a sequential todo list derived from the explicitly approved plan.
Why it matters
Treating agentic AI as an autonomous execution engine introduces expensive failure modes where isolated code breaks surrounding systems. Engineering managers and platform architects can use persistent, human-reviewed text artifacts to enforce better governance than conversational prompts provide. Forcing models to document their understanding before writing code reduces token waste and prevents architectural drift. This methodology surfaces just days after Anthropic shipped Claude Code Security, highlighting a broader industry shift toward wrapping agentic development tools in strict, verifiable constraints rather than trusting open-ended execution.
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