kiwi-srs-research

To assess feature feasibility, conduct code archaeology to analyze implementation status and dependencies, consult external knowledge bases for best practices, and evaluate potential failure modes using a multi-agent research topology.

Code archaeology examines existing code modules to determine implementation status, dependencies, and test coverage. It is needed during risk analysis to evaluate evidence and identify anti-patterns before proposing changes.

Yes, git and python are required dependencies to execute requirement research. Git provides repository access for code archaeology, while python enables the scripts necessary for the synthesis engine and subagent topology.

Evaluate failure modes and anti-patterns by utilizing a risk assessment subagent that analyzes code modules against external knowledge bases, identifies alternative designs, and synthesizes findings into a comprehensive evidence report.

The best way to consult external sources is using an external knowledge subagent that queries external knowledge bases for standards and library recommendations, ensuring data integrity and input isolation during the research process.

Yes, requirement research handles input isolation and ensures data confidentiality by design. The synthesis engine and subagent topology process evidence while maintaining strict separation between input data and external knowledge sources.