{ "schema_version": 1, "run_id": "1ad3819c80e7", "started_at": "2026-05-06T18:08:14Z", "finished_at": "2026-05-06T18:08:15Z", "git_commit_at_start": "2881026b1f575b1ee6556bd67876270bd5f77236", "tasks_json_commit_before_curation": "03d811e7978c932e2e11996b2acc8b7f9a158bb7", "no_tasks_added_before_curation": true, "tasks_json_entry_count_at_curation": 20, "selection_algorithm": { "version": 1, "description": "Deterministic objective ranker over the existing dogfood brain. No task content was visible to the operator at selection time — tasks.json was at its pre-Phase-3 state with 20 entries unchanged. Selection criteria are product-level (severity, recurrence, frequency, file co-occurrence with other lessons), NOT predictive of any specific upcoming task.", "formula": "score(l) = severity_weight[l.severity] + 0.6 * times_seen + 2.5 * (1 if 'recurring' in lesson.tags else 0) + 0.8 * sum(file_freq[f] - 1 for f in lesson.files_affected if file_freq[f] > 1)", "constants": { "severity_weight": { "1": 3.0, "2": 1.5, "3": 0.5 }, "recurring_bonus": 2.5, "times_seen_weight": 0.6, "bug_magnet_multiplier": 0.8 }, "source": "benchmarks/_apply_curation_2026_05_07.py (this file)" }, "sidecar_runtime": { "data_dir": "data/brain_v2", "brain_db_path": "data/brain_v2/brain.db", "activity_log_path": "data/brain_v2/mcp_activity.jsonl", "lesson_mirror_enabled": true, "is_benchmark_sandbox": false, "env_overrides_set": [] }, "operator_approval": { "method": "row-by-row chat approval", "approved_rows": 5, "approval_message_excerpt": "approve as-is ทั้ง 5 rows ครับ" }, "library_size_before": 12, "library_size_after": 12, "lessons": [ { "lesson_id": "4cd762e0-a76d-42c8-904e-60f71eead859", "title": "Vite optimizeDeps barrel pattern → ErrorBoundary on default-import", "patch_attempted": { "pinned": true, "scope_globs": [ "vite.config.ts", "package.json" ] }, "rationale": "Selected by objective score (highest in pool, 7.70). Has explicit `recurring` tag — lesson body documents 4 prior occurrences (tiptap → r3f → lucide → react-force-graph-2d). vite.config.ts appears in 3 separate lessons, the highest bug-magnet count in the project. Pin earns +0.6 ranker bias on every recall; scope_globs earns +1.5 when the AI's current_path matches package.json or vite.config.ts.", "leakage_note": null, "result": "applied", "before": { "pinned": false, "disabled": false, "severity": 1, "scope_globs": [], "times_seen": 1 }, "after": { "pinned": true, "disabled": false, "severity": 1, "scope_globs": [ "vite.config.ts", "package.json" ], "times_seen": 1 }, "diff": { "pinned": { "before": false, "after": true }, "scope_globs": { "before": [], "after": [ "vite.config.ts", "package.json" ] } } }, { "lesson_id": "01933dc9-fdef-4b5d-a12f-1d78f13f7db0", "title": "Graph focus-node click → FPS dive / app freeze (R3F + Zustand)", "patch_attempted": { "pinned": true, "scope_globs": [ "src/components/GraphView/**" ] }, "rationale": "Severity 1 user-blocking. NeuralMap.tsx is bug-magnet (2 lessons). Root cause has 3 simultaneous sources (Zustand global selectors + per-frame Float32Array allocs + duplicate OrbitControls). Generic R3F docs cover none of these together; AI without this lesson would debug each cause sequentially = re-derive from scratch.", "leakage_note": null, "result": "applied", "before": { "pinned": false, "disabled": false, "severity": 1, "scope_globs": [], "times_seen": 1 }, "after": { "pinned": true, "disabled": false, "severity": 1, "scope_globs": [ "src/components/GraphView/**" ], "times_seen": 1 }, "diff": { "pinned": { "before": false, "after": true }, "scope_globs": { "before": [], "after": [ "src/components/GraphView/**" ] } } }, { "lesson_id": "77b13dd3-0592-48f0-b991-7b618fac1863", "title": "MCP code_search FTS5 plain-string coverage gap", "patch_attempted": { "pinned": true, "scope_globs": [ "core/code_indexer/**", "core/api/mcp_server.py" ] }, "rationale": "Multi-symptom lesson covering 3 distinct gaps (file-level coverage, function-body recursion, Thai tokenization). Two of four affected files are bug-magnets (mcp_server.py × 2, project_summarizer.py × 2). Schema/coverage class — hardest for AI to re-derive without the indexer source. Recent (2026-05-02), still relevant to the current FTS5 schema.", "leakage_note": null, "result": "applied", "before": { "pinned": false, "disabled": false, "severity": 2, "scope_globs": [], "times_seen": 1 }, "after": { "pinned": true, "disabled": false, "severity": 2, "scope_globs": [ "core/code_indexer/**", "core/api/mcp_server.py" ], "times_seen": 1 }, "diff": { "pinned": { "before": false, "after": true }, "scope_globs": { "before": [], "after": [ "core/code_indexer/**", "core/api/mcp_server.py" ] } } }, { "lesson_id": "78c5b62a-e3c7-4113-81fb-7ab899b9f281", "title": "MCP stdio call hangs (idle, no error) on long-running server", "patch_attempted": { "pinned": false, "scope_globs": [ "core/api/mcp_server.py" ] }, "rationale": "Severity 2, mcp_server.py bug-magnet. Symptom-vs-cause mismatch (process LOOKS idle but is broken pipe / stale stdin) — class of bug AI commonly misdiagnoses. Caught only because operator dogfooded for 12h+ uptime. Active + scope_glob (no pin) so file overlap with mcp_server.py earns the +0.4–0.8 file bonus without biasing every recall.", "leakage_note": "MEDIUM risk during task extension: avoid wording near 'MCP stdio hang' verbatim. Will be flagged in §11 after tasks are drafted.", "result": "applied", "before": { "pinned": false, "disabled": false, "severity": 2, "scope_globs": [], "times_seen": 1 }, "after": { "pinned": false, "disabled": false, "severity": 2, "scope_globs": [ "core/api/mcp_server.py" ], "times_seen": 1 }, "diff": { "scope_globs": { "before": [], "after": [ "core/api/mcp_server.py" ] } } }, { "lesson_id": "ca204c2e-bbd2-415b-ab36-8d541dc24444", "title": "project_summarizer race + watcher self-trigger creates dup summaries", "patch_attempted": { "pinned": false, "scope_globs": [ "core/code_indexer/project_summarizer.py", "core/code_indexer/watcher.py" ] }, "rationale": "Severity 2, project_summarizer.py bug-magnet. Cross-cutting race condition across 3 files. Subtle enough that fixing on disk did not stop the bug — exactly the class of lesson where re-derive cost is high. Active + scope_glob (no pin) to avoid biasing every code_indexer query toward this one subtle race.", "leakage_note": null, "result": "applied", "before": { "pinned": false, "disabled": false, "severity": 2, "scope_globs": [], "times_seen": 1 }, "after": { "pinned": false, "disabled": false, "severity": 2, "scope_globs": [ "core/code_indexer/project_summarizer.py", "core/code_indexer/watcher.py" ], "times_seen": 1 }, "diff": { "scope_globs": { "before": [], "after": [ "core/code_indexer/project_summarizer.py", "core/code_indexer/watcher.py" ] } } } ], "policy_notes": [ "All 5 candidates pre-existed in the dogfood brain. No new lessons were added during curation.", "Sibling lessons (e9d5fe1b, 28fd4c7c, 25ef5d4a) intentionally left untouched per operator policy on benchmark stadium-tuning.", "Curation precedes any tasks.json extension. No Phase 3 task was visible at selection time.", "REST PATCH path triggers .cosmos/lessons.{md,json} mirror rebuild for each affected project (production sidecar has lesson_mirror_enabled=true). Mirror state will be visible in the next git commit." ] }