Ship AI-generated services faster than you can review them — without losing control of production
Your team ships more services and changes than anyone can review. Langotime checks each rollout's readiness — telemetry coverage, alerts, ownership, deploy target — and watches live metrics during rollout, with a human in the approval loop.
Request early accessAI writes the code. The bottleneck moved to shipping it safely.
AI-assisted teams create more services, prototypes and changes than review and SRE capacity can keep up with. You lose track of what's running, where it's deployed, what it calls, who owns it, and which metrics prove a rollout is healthy. As the “SDLC is dead” argument puts it, monitoring is the last stage standing — and human-built observability breaks when change outpaces attention.
Readiness before the rollout, eyes on it during
Connect
Pull in code, deploy target, dashboards, metrics, events and service ownership.
Explain
Surface the readiness gaps: missing telemetry, weak alerts, unclear ownership, risky target.
Watch
Track health metrics before and during rollout instead of finding out after the incident.
Act
Hand back a fix-list and rollback guidance — with a human in the approval loop.
“Why not just…”
It works with your agents — and grows into real-time
Today, a readiness and rollout-review assistant that works alongside the agents you already use. Next, a Time Series World Model — AI for metrics, not text — that watches live telemetry and models a rollout's consequences in real time.
If review capacity can't grow as fast as your change rate…
SRE, DevOps and platform teams on Kubernetes and microservices, shipping AI-generated code faster than humans can inspect it — and feeling the loss of control over what's running and whether each rollout is safe.
Langotime is for you.