update-implementation-plan

Update an existing implementation plan by incorporating new or changed requirements into the Markdown file while preserving its strict, machine-parseable structure. The process ensures execution alignment across teams and AI agents by maintaining atomic phases and measurable completion criteria.

Deterministic implementation planning produces fully self-contained, machine-parseable Markdown plans with atomic phases and measurable completion criteria. This approach ensures AI agents and humans execute tasks reliably without ambiguity when handling code, architecture, or infrastructure changes.

Maintain markdown implementation plans by applying template-validated updates that ensure frontmatter and all required headers follow mandatory conventions. The updated plan is saved into the `/plan/` directory using the specified naming convention for reliable execution.

Yes, automated plan updates support feature development by producing discrete phases with parallelizable tasks where possible. The output remains fully self-contained and template-compliant, ensuring validated frontmatter and strict structure for deterministic execution.

Updating implementation plans requires saving the output into the `/plan/` directory using the specified naming convention. The process validates frontmatter and ensures all required sections follow the mandatory template to maintain a parseable structure.

Manually updating machine-parseable plans risks breaking template compliance, frontmatter validation, and atomic phase structure. Strict adherence to required headers and naming conventions is essential to prevent execution ambiguity for both AI agents and human teams.