Sentry for AI

Scans a codebase for security, database, deployment, code quality, AI/LLM, dependency, frontend, and observability issues before deployment. Intercepts deploy commands and blocks until critical items pass.

Evaluates Google Cloud workloads against the Reliability pillar of the Well-Architected Framework, providing actionable recommendations for building, deploying, and managing reliable systems.

Validates, tests, and scores the quality of skills within a claude-skills ecosystem using Python scripts that check structure, syntax, runtime, and multi-dimensional quality metrics.

Provides technical leadership frameworks for architecture decisions, engineering team scaling, technology strategy, and technical debt assessment.

Converts a markdown code review or PR writeup with diff blocks and severity-tagged callouts into a single-file two-column HTML review with jump navigation and a named reviewer footer.

Design, review, and operate SLOs, SLIs, and error budgets with multi-window burn-rate alerts and automated validation.