differential-review

Automate security review for git diff changes by performing differential analysis on commits. The process leverages git history to calculate blast radius, check test coverage, and generate markdown reports to detect security regressions and new vulnerabilities.

Differential code analysis for vulnerability detection is a method that reviews code changes against git history to identify if security fixes are undone. It adapts review depth based on codebase size and risk to prevent regressions in critical updates like smart contract deployments.

Prevent security regressions before merging a pull request by running a risk-based differential review. This evaluates the blast radius of code changes, checks existing test coverage, and outlines attack scenarios in a comprehensive markdown report to ensure no new exploits are possible.

Smart contract security review adapts to large codebases by scaling the analysis depth based on risk level. It leverages historical git context and blast radius calculations to focus vulnerability detection efforts efficiently on the most critical code changes.

The best way to check if a code change introduces new vulnerabilities is to perform a security-focused differential review. This compares recent commits against historical baselines, calculates the blast radius, and generates detailed markdown reports outlining findings and recommendations.

Use automated code audit over manual review when analyzing frequent pull requests or large codebases. It systematically evaluates git diffs, calculates blast radius, and checks test coverage to detect security regressions consistently before merging critical updates.