Production-grade agent platform

Autonomous incident remediation,
in single-digit minutes.

Remediate Labs is a multi-agent system that detects production errors from CloudWatch, diagnoses the root cause from your codebase, generates a fix, and opens a PR — all before anyone gets paged. Built with the Anthropic SDK on FastAPI + Postgres + pgvector.

Time-to-first-PR

~6 min

from CloudWatch alarm

Triage accuracy

92%

100-case golden eval

False-positive rate

< 8%

noise filtered before triage

Sample size

100+

production incidents

Numbers refresh from scripts/measure_mttr.py against the live demo DB. See the methodology for how each is computed.

01

Detect

CloudWatch alarms fire on production errors and POST to a webhook. Push-based — no polling load on the production server.

02

Triage

Haiku-class classifier filters real incidents from noise and duplicates. Ground truth from a 100-case golden dataset.

03

Diagnose

Diagnosis agent grounds every claim against the actual repo via GitHub Code Search. No fabricated function names.

04

Fix

Fix-generation agent writes a patch, runs it in a Docker sandbox against the real test suite, retries up to 3× on failure.

05

Approve

HIGH/CRITICAL actions queue for human approval before merging. Approvals also feed an RLHF preference dataset.

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