Hill-climb your AI features without regressing.
Every fix verified against the customer scenarios that matter, before it ships.
Give your coding agents the infrastructure to identify and replay customer scenarios end-to-end.
Works with Claude Code, Cursor, and Codex.
Claude CodeBitfab connectedIdentify failing customer scenarios in our talk-to-threads feature, then ship fixes that pass them all.
bitfab- 4,218 traces analyzed
- dataset:talk-to-threads-v350 traces
- 42 traces labeled
- replay 44 / 50 passed
- LLM-powered data-pipelines
- Agents and chat bots
Built for engineering teams building software factories.
Engineers running 4+ coding agents at a time.
Collaborate with your coding agent to identify and set up customer scenarios so they can be easily tested.
Your agent searches production traces with you, surfaces the scenarios that actually matter, and turns them into reusable datasets you can rerun any time you change a prompt or model.
Precise data labeling with your coding agent. Tighten when you need to.
The agent annotates the spans that matter and collapses noisy traces. Override whatever’s wrong. The dataset reflects you and your customer's judgment, not the agent’s.
trace · chatbot/order_status · 2.4s · 5 spans · 3 annotated
- classify_intentllm_call45ms
- search_orderstool_call1.2sClaude·performance·fail
search_orders is most of the wall clock. A bounded query or cache knocks this under a second.
- fetch_ordertool_call210msClaude·wrong tool call·fail
Called with order_id=4821. Customer wrote #4821-A — wrong order returned.
- summarizellm_call180ms
- generate_responsellm_call890msYou·missing context·fail
Trace shows a 3-day shipping delay; the reply never mentions it. Override for the dataset.
Find fixes by automatically rerunning customer scenarios as verification.
Rerun experiments locally or in the cloud on production trace data with custom sandboxes.
Request a custom sandbox