t1k:review

Automate code review by routing pending changes, PR numbers, or commit hashes through registry-routed reviewer agents that rigorously analyze technical correctness, spec compliance, and security vulnerabilities. You receive evidence-based claims and suggested fixes to ensure code meets security standards.

Adversarial code review performs red-team analysis to actively seek out security holes, false assumptions, and failure modes in your codebase. This evidence-based approach rigorously analyzes technical correctness to ensure code meets security standards and technical requirements.

You can perform a full codebase scan without a specific PR number. The code review automation supports multiple input modes including pending changes, PR numbers, commit hashes, full codebase scans, and parallel multi-reviewer audits to ensure spec compliance and security.

Automated code review works with both specific commit hashes and pending changes. It supports multiple input modes including PR numbers, commit hashes, full codebase scans, and parallel multi-reviewer audits to rigorously analyze technical correctness and security vulnerabilities.

The best way to perform a parallel multi-reviewer audit is using registry-routed reviewer agents that support parallel multi-reviewer audit modes. This automates adversarial analysis and spec compliance checks across the codebase to ensure code meets security standards.

Automated adversarial code review is designed for reducing manual review time and increasing code quality through security analysis. If your codebase lacks clear technical requirements or spec compliance standards, the evidence-based claims and failure mode analysis may have limited context to evaluate.