Reviews built for the system
your code runs on.
Ravi reviews every pull request alongside live database metrics, traffic patterns, and telemetry so you make the right trade-offs for today's production reality, not a textbook ideal.
Production-Aware Analysis
Ravi pulls the latest query stats, cache hit rates, and latency budgets before reviewing code, flagging changes that won't hold up under your actual load.
Telemetry-Guided Guardrails
Correlate pull requests with OpenTelemetry traces, error spikes, and memory profiles to catch regressions that static-only reviewers miss.
Trade-Off Playbooks
Guidance explains when to optimize, when to defer, and which fixes align with the current state of your architecture, just like a senior engineer on your team.
Why Engineering Leaders Choose Ravi
Reviews Tuned to Your System
Every comment references the size of your datasets, traffic patterns, and SLAs so teams understand the \"why\" behind each suggestion.
Prevent Costly Performance Regressions
Catch slow queries, noisy neighbors, and scaling bottlenecks before they impact customers or force midnight rollbacks.
Coach Teams on Real-World Trade-Offs
Replace generic lint feedback with pragmatic guidance that balances speed, reliability, and cost for your environment.
Get Early Access
Be first to bring system-level intelligence into your code reviews. Tell us about your stack and we'll tailor Ravi to your databases, telemetry, and deployment targets.