jedarden/ai-code-battle
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4 commits

Author SHA1 Message Date
jedarden
9d7a2e2e3c fix(web): remove unused imports in predictions.ts to fix TypeScript build 
PredictionHistoryEntry was imported but never used, and API_BASE was
declared but never read. These caused tsc to fail with TS6196/TS6133.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
 2026-04-21 16:15:33 -04:00
jedarden
347ae4f1df feat(predictions): resolve predictions on match completion, add API endpoints and frontend 
- Worker resolves open predictions after writing match results (resolvePredictions + upsertPredictorStats)
- API endpoints: POST /api/predict, GET /api/predictions/open, GET /api/predictions/history
- Frontend /watch/predictions page with polling, prediction submission, and history display
- predictor_stats table tracks streaks and accuracy per predictor
- Series format selection: fix threshold from >200 to >=200 for bo3 eligibility

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
 2026-04-21 14:08:15 -04:00
jedarden
91d807cec2 feat(web,cmd): enhance evolution dashboard, series/seasons pages, and matchmaker 
- Evolution page: live polling (10s), activity feed, candidate tracking,
  statistics section, island overview with live.json schema
- Series page: detailed series view with game-by-game results
- Seasons page: season list with status and champion display
- Predictions page: enhanced prediction UI with open matches
- API types: add CycleInfo, Candidate, ActivityEntry, Totals for live.json
- Embed: improved embeddable replay widget
- Mobile CSS: responsive breakpoints and bottom tab bar
- Exporter: enhanced live.json generation with full cycle/candidate data
- Matchmaker: series scheduling support with config
- Worker: additional database queries for series/season data

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
 2026-04-21 13:42:20 -04:00
jedarden
4ba39e3aa8 feat(evolver): complete Phase 7 LLM-driven evolution implementation 
- Complete autonomous evolution pipeline with island model (4 islands)
- MAP-Elites behavior grid integration for diversity
- LLM ensemble integration (fast + strong model tiers)
- 3-stage validation pipeline (syntax → schema → sandbox smoke test)
- Evaluation arena (10-match mini-tournament per candidate)
- Promotion gate (Nash equilibrium PSRO + MAP-Elites niche fill)
- Retirement policy (auto-retire low-rated bots, population cap)
- Live export to R2 for evolution dashboard
- Enhanced replay viewer with commentary and win probability
- Added series, seasons, and predictions pages

All tests passing. Phase 7 exit criteria met.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-08 16:38:48 -04:00