deep-review

Automated static analysis for code review is achieved by coordinating six parallel agents that examine logic, security, data integrity, and concurrency. The system merges overlapping findings, ranks them by impact, and outputs actionable fixes with confidence scoring.

Parallel static analysis works by deploying six specialized agents to examine diffs simultaneously across logic, security, behavioral contracts, and project rules. It enforces predefined rules, validates evidence against changed files, and deduplicates findings to prioritize code-quality issues.

Automated static analysis can check concurrency and data integrity in your codebase through dedicated parallel agents. These agents examine diffs to identify issues across multiple dimensions, validating evidence against changed files to ensure behavioral contracts are maintained.

The best way to deduplicate findings from static analysis on a branch diff is using a coordinated multi-agent system. It merges overlapping findings from six specialized review roles, validates evidence against the diff, and ranks consolidated issues by impact.

Automated static analysis works with predefined project rules by integrating a dedicated agent for project-rule enforcement. While it can identify standard logic and security issues, the system specifically applies predefined review rules to ensure codebase compliance.

Automated static analysis outputs confidence-scored recommendations to validate evidence against changed files and ensure accuracy. This scoring system prioritizes code-quality issues by impact, providing actionable fixes backed by verified evidence from the diff analysis.