A background service that benchmarks every AI coding agent session against a frozen test suite and alerts when quality silently regresses
Anthropic's February 2026 redact-thinking rollout silently degraded Claude Code quality for weeks before users noticed. AMD's AI director had to manually analyze 7,000 sessions to prove the regression, finding that read-to-edit ratios collapsed from 6.6 to 2.0 and stop-hook violations went from 0 to 173 per day. Teams paying $2.5B annualized for these agents have zero visibility into when the model silently gets worse. This background service runs a frozen benchmark suite against every agent session locally, diffs results against a rolling baseline, and alerts the team the moment quality drops by more than a configurable threshold.
Demand Breakdown
Social Proof 3 sources
Gap Assessment
3 tools exist (Braintrust, Langfuse, SWE-bench) but gaps remain: Built for prompt eval on hosted APIs, not for benchmarking agentic coding sessions with tool calls, file edits, and read-to-edit ratios. No concept of regression alerts on agent behavior metrics.; Traces individual LLM calls but has no agent-session benchmarking, no frozen task corpus, and no regression alerting tied to engineering-task quality metrics..
Features5 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| Braintrust | LLM eval platform for product teams that runs offline eval suites and tracks prompt and model changes over time. | Built for prompt eval on hosted APIs, not for benchmarking agentic coding sessions with tool calls, file edits, and read-to-edit ratios. No concept of regression alerts on agent behavior metrics. |
| Langfuse | Open-source LLM observability platform that traces prompts, costs, and latency across LLM calls. | Traces individual LLM calls but has no agent-session benchmarking, no frozen task corpus, and no regression alerting tied to engineering-task quality metrics. |
| SWE-bench | Academic benchmark suite that tests LLM coding agents on 2,294 real GitHub issues from 12 Python repos. | One-shot academic benchmark, not a continuous regression detector. Runs are not tied to local agent versions, no alerting, no team workflow integration, no private corpus support. |
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