How to Perform Spec-Driven Development From the Command Line

Spec-driven development uses a written specification as the source of truth for AI-assisted software work, aiming to reduce code cleanup and make requirements, implementation, tests, and verification traceable. The workflow described combines GitHub Spec Kit 1.0.11, Claude Code, and TestMu AI’s Kane CLI: Spec Kit scaffolds a project and supplies skills for creating a constitution, feature specification, implementation plan, tasks, analysis, coding, and convergence checks, while Kane CLI derives and executes real-browser tests from the same requirements. A coupon-code demo shows how acceptance criteria receive stable IDs, map to unit and browser tests, and expose gaps such as untested rounding rules or missing browser verification before implementation is considered complete. The guide emphasizes that passing unit tests may not reveal specification drift after a requirement changes, whereas Spec Kit’s converge step compares code and tests against the current specification and Kane CLI can identify browser-test suites made stale by updated source requirements. Kane CLI’s broader PRD-to-coverage workflow ingests requirements, extracts reviewable use cases, designs tagged tests, records browser evidence, reports proven versus outstanding coverage, and reconciles test suites after specification changes. It recommends deterministic unit and replayed browser tests in CI, keeping agent-driven convergence checks local, and addresses common command-line setup and troubleshooting issues.

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