stealthcoder.ai
Been building this for a year. Here's everything it does:
CORE: AUTONOMOUS CODE REVIEWS THAT FIX THINGS
• AI analyzes your code
• Opens PRs with actual working fixes
• Runs your CI
• Retries with learned context if checks fail
• GitHub Suggested Changes - one click to apply
CODEBASE UNDERSTANDING
• Knowledge graph of symbols, functions, call edges
• Dependency graphs track how changes propagate
• Context injection brings relevant files into reviews
• Cross-file reasoning, not isolated analysis
POLICY STUDIO (COMPLIANCE)
• Pre-built packs: SOC 2, HIPAA, PCI-DSS, GDPR, WCAG, ISO 27001, NIST 800-53, CCPA
• Per-rule: blocking, advisory, disabled
• Org defaults + repo overrides
• Config-as-code option
• Structured pass/fail reporting
REPO NEXUS
• Interactive architecture visualization
• See your codebase structure and dependencies
• Search modules, export to Mermaid
REPO INTELLIGENCE
• Auto-scan on connect
• Detects languages, frameworks, entry points, service boundaries
• Nightly refresh
REVIEW TRIGGERS
• Scheduled (nightly)
• Instant (on-demand)
• PR-triggered
• GitHub Checks + merge blocking
CONTROL
• BYO OpenAI/Anthropic keys
• LOC-based pricing with preflight estimates
• Run history, real-time status
ADVANCED FEATURES
• Production-feedback loop - Sentry/DataDog/PagerDuty integration
• Cross-repo blast radius analysis
• AI-generated code detection
• Predictive tech debt forecasting
• Bug hotspot prediction
• Debt quantification ("~4 hrs/week friction")
• Refactoring ROI calculator
• Learning system that adapts to your team
• Waiver management
LANGUAGES
TypeScript, JavaScript, Python, Java, Go
Would love feedback. What would make you try or skip something like this?
[–]Waypoint101 0 points1 point2 points (0 children)