Wendy Zhang Personal

HeyDeer, AI code review agent, reviews pull requests for software teams and developers using coding agents such as Claude Code, Codex, and Cursor. It analyzes proposed changes, identifies real bugs and risks, and helps teams catch issues before code is merged. HeyDeer is designed for engineering teams, solo developers, and organizations that need consistent review coverage without adding reviewer seats. HeyDeer checks every finding against the repository code, posts line-specific comments, and follows project standards defined in REVIEW.md, AGENTS.md, and repository checks. Developers can use Autopilot to turn findings into tested fix pull requests, resolve failing checks and merge conflicts, push changes, and repeat reviews until a pull request is ready to merge. Each review also includes a walkthrough that explains what to read first, what to skim, and how related parts of the change connect, while users can mention @heydeer on a pull request or issue to ask questions or delegate work. The service is built to reduce false positives and surface actionable software bugs, security issues, and logic problems, with a reported 99.0% precision on ReviewBench. Its workspace pricing uses shared credits rather than per-reviewer seat fees, and a free plan is available for getting started.