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Analyze multilingual code quality to detect security, bug, and performance issues.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ward" yet — see the docs or source repo.
Scan this Python code for security vulnerabilities, potential bugs, code smells, and performance issues. Rank findings by severity and provide fix recommendations with revised example code.
A severity-ranked issue report with risk explanations, code locations, and suggested fixed code.
Review this code change and focus on null-reference risks, insufficient input validation, duplicated code, and inefficient implementations. Output review comments suitable for a pull request.
PR-ready review comments highlighting specific issues, impact, and recommended fixes.
Run an overall code quality analysis on this project containing JavaScript, Go, and Java. Summarize key security risks, common defect patterns, performance bottlenecks, and top-priority fixes.
A project-level diagnostic summary covering cross-language issue patterns, risk priorities, and remediation recommendations.
Review repositories in natural language for security, performance, and code quality issues
Scan Python projects and GitHub repos for vulnerabilities, secrets, and AI risk insights.
Scan AI coding workflows for code, secrets, dependency, and tool security risks.
Audit codebases for security issues with AST, call graph, and AI analysis.
Query and understand large codebases with a fast knowledge graph for AI agents.
Simulate a multi-agent engineering team to review code for quality and risks.