foundry-review

To verify code fidelity against a specification, run a phase-level or task-level review using LSP documentSymbol pre-checks and MCP-driven deviation analysis to classify exact, minor, major, or missing discrepancies. This validates required symbols and generates auditable reports.

AI-driven fidelity analysis compares implementation code against a given specification to classify deviations and assess impact. It uses MCP to evaluate structural discrepancies and generates a detailed fidelity report for traceability across reviews.

Yes, you can use LSP documentSymbol pre-checks to validate the presence of required classes and methods against the specification. This deterministic structural check ensures implementation completeness before conducting deeper AI-driven fidelity analysis.

Generate auditable reports for phase-level code reviews by executing a fidelity review for a specific spec phase. The process compares implementation to specification and persists detailed JSON artifacts, ensuring traceability across tasks and phases.

Yes, code fidelity analysis classifies deviations into exact, minor, major, and missing categories to assess their impact accurately. This classification helps measure implementation conformance to the specification during the review.

Deterministic pre-checks using LSP are limited to validating structural presence of required symbols like classes and methods. They do not assess semantic logic or complex deviations, which require subsequent AI-driven MCP fidelity analysis to fully evaluate.