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February 26, 2026
·
Prague
Detect Issues, Fix with Agents
Learn how to build pipelines that detect product issues from multiple data sources and use coding agents to automatically generate fixes and PRs.
Overview
I’ll walk through how we built a pipeline that detects product issues from multiple data sources (session recordings, error logs, support tickets, LLM traces) and routes them to coding agents that generate PRs.
- Step 1: Signal. Render videos from session recordings, transcribe them, and analyze, searching for issues.
- Step 2: Cluster. Group signals from different sources and decide what’s worth fixing.
- Step 3: Code. Preview of Twig ADE (AI Development Environment), where confirmed tasks get handed off to coding agents.
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