source-command-methodology-advisor

To analyze a codebase for an AI-assisted development methodology, the advisor reads configuration files and codebase signals to score project characteristics, then outputs a named methodology stack with a full justification.

Recommended AI development stacks include solo-mvp, team-greenfield, microservices, enterprise-gov, llm-native, power-solo, and plan-moderate, determined by scoring your specific codebase signals and project context.

The codebase analysis process works through a phased approach: silent analysis to infer project characteristics, scoring across potential stacks, questioning to resolve ambiguities, and a final recommendation with actionable guidance.

Yes, you can use this methodology advisor for an enterprise-gov or microservices codebase. It evaluates project signals and configuration files to map your context to the appropriate stack, including enterprise-gov and microservices.

The best way to adopt an AI-driven development workflow is to follow the quick-start plan provided by the advisor, which includes concrete steps to align your team's processes with the recommended methodology stack.