01-metrics
01Agent
Analysis dimension: METRICS — quality, completeness, and trustworthiness of auto-iter instrumentation; what the metrics reveal about cycle performance.
Agent
Analysis dimension: METRICS — quality, completeness, and trustworthiness of auto-iter instrumentation; what the metrics reveal about cycle performance.
Agent
Dimension: REPORTS — quality, accuracy, and usefulness of post-stream analysis reports. Audited reports: stream-2026-05-24-cycles-135-144.md, stream-2026-05-25-cycles-145-154.md, stream-2026-05-29-cycles-168-177.md, stream-2026-06-01-cycles-178-187.md. Ground truth: analysis-2026-06-02-cycles-158-187/dataset.json and…
Agent
The loop is not predictably consistent across cycles 153–187. Three distinct sub-eras exist with incompatible step schemas, missing logs, and sharply different rework rates. The single recurring root cause is the auto-merge race (CI 2 min completes before DJ 3–5 min; auto-merge fires; BLOCKER lands post-merge). This…
Agent
Six DJ BLOCKERs escaped to main in cycles 178–187, all confirmed real (0 false positives). The defect classes are: missing test file (×2), API-default mismatch (×1), duplicated abstraction (×1), wrong format helper (×1), zero-value flag bug (×1). Core repo conventions — paging.Collect, typed errors, ContentTypePolicy…
Agent
Dimension: Adherence to documented workflow rules and explicit user feedback Generated: 2026-06-02 Analyst: review-agent (Claude Sonnet 4.6).
Agent
Analysis date: 2026-06-02 Dimension: Tokenomics & Speed Window: Cycles 153–187 (30 cycles logged); token-valid subset: 157–164 (May-25 era) + 178–187 (Jun-1 stream). Cycles 168–177 log "tokens": 0 — fully excluded as missing instrumentation, not treated as free.