Code Regression Risk Analyzer

The problem

Static analysis and unit tests often miss how a code change impacts the broader system. Developers struggle to identify the "blast radius" of refactors or schema changes until they hit production.

What it does

• Analyzes Git diffs and patches to identify unintentional breaking changes in existing behavior.
• Maps direct and indirect dependencies, including shared databases, caches, queues, and event emitters.
• Classifies contract changes in APIs, schemas, and signatures as compatible, breaking, or unverifiable.
• Generates concrete regression scenarios with failure modes, likelihood, and impact assessments.
• Audits rollback plans and feature flag strategies to ensure stateful changes can be safely reverted.

Frameworks & tools

Works with Git diffs, PR patches, and commit ranges. Agnostic to programming languages but specialized in systems involving APIs, message queues, and databases.

Why this beats prompting it yourself

This skill goes beyond "reading code" by systematically tracing side effects across the infrastructure layer. It follows a rigorous risk rubric that forces identification of hidden data and operational risks that basic LLM prompts typically overlook.

Use cases

• Reviewing refactors of shared utility libraries used by multiple services.
• Evaluating the safety of database schema migrations and data backfills.
• Checking backward compatibility for public API or event schema updates.
• Planning release containment for high-stakes deployments.

Known limitations

Cannot execute code or run tests to verify behavior. Performance suffers if multiple unrelated pull requests are combined into one analysis.