ShadowTel replays real production traffic against every code change and blocks the merge if it makes your system slower, less reliable, or more expensive to run.
AI writes code much faster than people can read it. So a lot of it now ships without anyone looking at it. The senior engineer who used to catch the expensive mistake in review can't keep up with the volume.
Code merging with no review at all. Not human, not agentic.
Production incidents per code change.
Median time senior engineers spend in code review.
Faros AI Engineering Report 2026. Two years of telemetry from 22,000 developers across 4,000 teams.
No new agent in your request path. No staging environment to maintain.
Request mirroring you already have in Envoy, nginx, or your service mesh. No code changes.
We replay the mirrored traffic against it, holding writes and outbound calls inside the sandbox.
Compared against a rolling baseline from your OpenTelemetry data, with the dollar delta derived from measured CPU, memory, and egress at your own cloud rates. You set the budgets, and it runs advisory until you turn enforcement on.
This thing can stop your deploys. So it has to be safe, and it has to be right.
Mutating requests are held or served by sandbox-local stand-ins. They never reach production data stores.
Payment providers, email, and third-party APIs are stubbed at the sandbox boundary. Nothing bills, nothing sends.
Mirroring is fire-and-forget at your proxy. Your users' requests are never held waiting on us.
Headers, bodies, and query strings pass through a redaction step at capture time. Tokens, credentials, and configurable PII fields are replaced before anything is stored or replayed.
I'm looking for teams already shipping AI-written code who have been bitten by it. Half an hour, no deck.
Book a call ajith@shadowtel.com