Stop fixing agents
by hand.

Something's off... so you dig through traces, prompt Claude Code, ship a fix, and hope. Kayba runs that loop for you, and tracks how every fix performs.

Every error becomes a reviewable fix.

An error shows up in PostHog, Sentry, wherever. Kayba reads the trace, the bug report, and your agent code, proposes a fix, scores how likely it is to actually help, and tracks how it performs after it ships.

KaybaApp9:41 AM
Fix ready

Retry timed-out tool calls instead of failing the run

When a tool call timed out, the agent stopped the whole run instead of retrying. Kayba's patch retries the call and adds a test so the fix sticks. Confidence it improves the agent: 0.84.

agent/tools.py·confidence 0.84
Review the fixOpen PR
3 replies · last reply 2 min ago
How it works

Stop fixing. Start reviewing.

Connect Kayba once. After that, every error gets investigated, fixed, scored, and tracked over time.

step 01

Two minutes to set up

Point Kayba at wherever your traces and errors already live: Sentry, PostHog, OpenTelemetry. Then it just listens.

coding agent
>
step 02

Kayba investigates and writes the fix

When an error lands, Kayba pulls out all the context (the trace, the error, the code), replays the failing run to isolate the broken step, and proposes the smallest fix. Every fix is scored on how likely it is to improve the agent, grounded in your own failure patterns.

error
trace
code
kayba
kayba
fix
step 03

You review and ship

Every fix lands as a PR and a Slack message: the error, the trace behind it, and the proposed change all in one place. Chat with Kayba to dig into the why, then make the call: merge it, send it back for another pass, or finish it yourself.

# agent-alerts
KaybaApp9:41 AM
Fix ready
Retry timed-out tool calls instead of failing the run
Review the fixOpen PR
step 04

Kayba tracks how the fix performs

Did the fix actually help? Kayba measures every shipped fix against evals built from your real failure patterns, flags regressions, and shows you how each one has performed over time.

eval pass rate
0%
May 07fix shipped ↑May 14

Ready to ship better agents?

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