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Production monitoring

Catch the 500 before users do.

Every production failure arrives with the stack, route, and context to become repair work.

How it works

Catch browser and server failures and turn them into fixable work.

Install the agent

Drop To200 into the app once. It watches uncaught errors, rejected promises, failed resource loads, and server-side request errors.

Live error stream
500TypeError: cart is undefined
checkout · 2m ago · ×41
503Upstream timeout: payments webhook
webhooks · 14m ago · ×7
429Rate limit exceeded on /api/search
search · 1h ago · ×3
51 raw events grouped into 3 issues by fingerprint.

Group the failure

Repeated events are fingerprinted into one issue so the team sees the pattern instead of a stream of noise.

The To200 monitoring view showing production errors, impact, and their path into the fix pipeline.

Open repair work

The issue moves into the pipeline with enough context for the AI to diagnose a likely cause and prepare a fix.

Watch

$ to200 watch --production

signal uncaught error

payload stack + breadcrumbs

outcome repair task

✓ Check results attached to the PR

In practice

What it replaces

Screenshots in Slack

Errors arrive with stack, release, route, and breadcrumbs instead of vague user reports.

Manual ticket creation

First sightings become repair work automatically; repeat events update the same issue.

Disconnected observability

Runtime signal feeds the same pipeline that diagnoses, fixes, and verifies the problem.

FAQ

Questions, answered.

Do we need a separate monitoring tool?

No. To200 ships its own capture agent — browser and server failures arrive with the stack, release, and breadcrumbs the repair loop needs to diagnose and prepare fixes.

Can it monitor Vercel and Supabase too?

Yes. When those integrations are connected, To200 can use deployment/runtime logs and database context during monitoring and repair.