code-review-assistant

You can review a GitHub pull request for security vulnerabilities and bugs by analyzing the pull request diff in strict mode. This identifies security vulnerabilities and correctness issues, generating a structured report with line-level recommendations suitable for sharing with your engineering team.

Yes, you can run static analysis on a local Git diff for Python and TypeScript code. The tool analyzes local Git diffs, staged changes, and selected files across Python, JavaScript, TypeScript, Java, Go, and Rust to detect type-safety risks and maintainability concerns.

The best way to generate a code review report for CI integration is to analyze code changes and output structured JSON or HTML. This automated static analysis detects error-handling gaps and missing test coverage, producing actionable reports directly within your development workflows.

Yes, code review supports different severity levels for bug detection through configurable analysis modes. You can choose information, optimization, standard, or strict review modes to adjust the depth of bug detection, security analysis, and performance issue identification.

To check pasted code for error-handling gaps and performance issues, you can submit the pasted code directly for analysis. The tool evaluates the code to identify performance problems, error-handling gaps, and missing test coverage, returning actionable recommendations.

You should use strict mode over standard mode for static code analysis when you need deeper security analysis and correctness verification, such as reviewing critical GitHub pull requests. Standard mode suits routine checks, while strict mode identifies high-severity vulnerabilities and type-safety risks.