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jedarden 31fec6c412 fix(engine): reduce 2-player spawn radius from 30% to 15% for combat density target
Reduced 2-player spawn radius from 30% (~6 tiles from center, ~12 tiles apart)
to 15% (~3 tiles from center, ~6 tiles apart) to achieve the 65-80% combat
density target per plan §3.7.1.

Testing results with 15% spawn radius (20 matches, gatherer vs rusher):
- Combat density: 80% (16/20 matches had combat_deaths)
- Average turns: 16 (reasonable match length)
- Draws: 35% (manageable)

Previous 30% spawn radius only achieved 60% combat density. The 15% radius
places bots within the 5-tile attack radius at spawn, ensuring immediate
combat potential while still allowing for strategic movement.

Closes: bf-4dnn3
2026-05-26 22:44:24 -04:00
.github/workflows chore(ci): disable GitHub Actions — CI/CD is handled by Argo Workflows 2026-04-21 08:43:22 -04:00
.wrangler/cache feat(worker): add map engagement score tracking and verify win_prob in replays 2026-05-03 23:21:57 -04:00
bin fix(replay): ensure events array is always populated in turns 2026-05-26 21:12:12 -04:00
bots fix(replay): ensure events array is always populated in turns 2026-05-26 21:12:12 -04:00
cmd feat(evolution, web): add live match counter per plan §16.18 2026-05-26 19:57:57 -04:00
docs docs(plan): update ZoneShrinkStep from 2 to 1 to match implementation 2026-05-26 08:22:27 -04:00
engine fix(engine): reduce 2-player spawn radius from 30% to 15% for combat density target 2026-05-26 22:44:24 -04:00
manifests K8s deployments and ExternalSecrets for extended bot fleet 2026-05-22 14:58:41 -04:00
maps feat(maps): add seed map library for initial deployment (plan §3.8) 2026-05-25 08:42:12 -04:00
metrics feat(acb-enrichment): implement AI replay enrichment service 2026-05-04 02:22:28 -04:00
migrations feat(seasons): add seed migration for Season 1 2026-05-26 13:32:29 -04:00
notes docs: verify bf-67io - SQL migration file already exists 2026-05-22 16:17:33 -04:00
ratelimit feat(api): implement POST /api/request-enrichment endpoint 2026-05-04 02:58:11 -04:00
scripts style: format generate-maps-index.go with gofmt 2026-05-25 18:59:24 -04:00
starters fix(replay): ensure events array is always populated in turns 2026-05-26 21:12:12 -04:00
wasm fix(replay): ensure events array is always populated in turns 2026-05-26 21:12:12 -04:00
web feat(web): implement haptic feedback at critical moments in replay viewer 2026-05-26 21:45:48 -04:00
.env.example docs: Update deployment guide for K8s + B2 architecture 2026-03-29 11:24:06 -04:00
.gitignore chore: add generated maps directory to gitignore 2026-05-25 21:39:20 -04:00
.needle-predispatch-sha chore: update needle predispatch sha 2026-05-22 16:04:10 -04:00
acb-local-fixed fix(replay): ensure events array is always populated in turns 2026-05-26 21:12:12 -04:00
acb-local-test fix(replay): ensure events array is always populated in turns 2026-05-26 21:12:12 -04:00
acb-map-evolver style: apply gofmt alignment fixes across codebase 2026-05-24 10:40:33 -04:00
acb-maps-loader fix(replay): ensure events array is always populated in turns 2026-05-26 21:12:12 -04:00
arena.test fix(types): add missing ReplayPlayer import and type annotation for transcript feature 2026-04-22 18:20:56 -04:00
DEPLOYMENT.md feat(scripts): add R2 bucket setup script with custom domain config 2026-04-06 06:42:53 -04:00
DEPLOYMENT_STEPS.md docs: add deployment completion instructions 2026-04-08 16:55:20 -04:00
docker-compose.bots.yml feat(deploy): register 10 Phase 13 expansion bots in docker-compose.bots.yml 2026-04-22 17:55:56 -04:00
docker-compose.workers.yml Start Phase 6: Add deployment configuration and containers 2026-03-24 09:41:14 -04:00
fix-iad-acb-openbao.sh feat(worker): add map engagement score tracking and verify win_prob in replays 2026-05-03 23:21:57 -04:00
fix-iad-acb-r2-credentials.sh feat(worker): add map engagement score tracking and verify win_prob in replays 2026-05-03 23:21:57 -04:00
go.mod fix(worker): upgrade aws-sdk-go-v2 to fix B2 upload error 2026-04-28 22:56:47 -04:00
go.sum fix(worker): upgrade aws-sdk-go-v2 to fix B2 upload error 2026-04-28 22:56:47 -04:00
IAD-ACB-OPENBAO-FIX.md feat(worker): add map engagement score tracking and verify win_prob in replays 2026-05-03 23:21:57 -04:00
IAD-ACB-R2-CREDENTIALS-FIX.md feat(worker): add map engagement score tracking and verify win_prob in replays 2026-05-03 23:21:57 -04:00
Makefile feat(cmd): add acb-maps-loader to load map library into database 2026-05-25 14:50:38 -04:00
MATCH_LIST_TEST_RESULTS.md test(web): verify match list page renders cards with real matches 2026-04-25 11:42:47 -04:00
MATCH_LIST_VERIFICATION_SUMMARY.md test(web): verify match list page renders cards with real matches 2026-04-25 11:58:02 -04:00
PROGRESS.md docs(progress): verify all Phase 12 gap items already implemented 2026-04-23 06:49:24 -04:00
R2_ACCESS_KEY_SOURCE.md docs: add R2 access key source investigation summary 2026-04-29 10:26:00 -04:00
README.md refactor(web): promote app.html to index.html as homepage 2026-04-25 08:51:52 -04:00
REPLAY_VIEWER_TEST_RESULTS.md test(web): verify match list page renders cards with real matches 2026-04-25 11:42:47 -04:00
REPLAY_VIEWER_VERIFICATION_SUMMARY.md test(web): verify match list page renders cards with real matches 2026-04-25 11:58:02 -04:00
test-combat.json fix(replay): ensure events array is always populated in turns 2026-05-26 21:12:12 -04:00
test-swarm-rusher.json fix(replay): ensure events array is always populated in turns 2026-05-26 21:12:12 -04:00
test_routes.sh test(web): add SPA route smoke test script and results 2026-05-24 21:57:49 -04:00
wrangler.toml feat(ci): configure Cloudflare Pages build output directory 2026-04-08 17:07:37 -04:00

AI Code Battle

A competitive bot programming platform where participants write HTTP servers that control units on a grid world.

Overview

AI Code Battle is a game simulation platform where:

  • Participants write bots in any language that expose HTTP endpoints
  • Bots compete on a toroidal (wrapping) grid world
  • Matches are executed offline and presented as completed replays
  • A web platform shows leaderboards, match history, and replay viewers

Quick Start

Prerequisites

  • Go 1.21+ (for game engine and CLI tools)
  • Node.js 18+ (for web and worker components)
  • Docker (for containerized deployment)

Running Locally

# Build CLI tools
go build ./cmd/acb-local
go build ./cmd/acb-mapgen

# Run a match between built-in bots
./acb-local -seed 42 -max-turns 100 -output replay.json -verbose

# Start web development server
cd web && npm install && npm run dev
# Open http://localhost:3000/

Viewing Replays

  1. Open the web app at http://localhost:3000/
  2. Navigate to "Replay Viewer" in the menu
  3. Load a replay JSON file or enter a URL

Project Structure

ai-code-battle/
├── engine/              # Go game simulation library
│   ├── types.go         # Core data types
│   ├── grid.go          # Toroidal grid implementation
│   ├── game.go          # Game state management
│   ├── turn.go          # Turn execution phases
│   ├── replay.go        # Replay recording
│   └── *_test.go        # Test files
├── cmd/
│   ├── acb-local/       # CLI match runner
│   ├── acb-mapgen/      # Map generator
│   ├── acb-worker/      # Match execution worker
│   └── acb-indexer/     # Index builder for static files
├── web/                 # Cloudflare Pages SPA
│   ├── src/
│   │   ├── pages/       # Page components
│   │   ├── replay-viewer.ts  # Canvas replay renderer
│   │   └── app.ts       # SPA entry point
│   └── public/          # Static assets
├── worker-api/          # Cloudflare Worker API
│   └── src/
│       ├── index.ts     # Router + cron dispatcher
│       ├── jobs.ts      # Job coordination
│       ├── bots.ts      # Bot management
│       └── glicko2.ts   # Rating system
├── bots/                # Strategy bot implementations
│   ├── random/          # Python - RandomBot
│   ├── gatherer/        # Go - GathererBot
│   ├── rusher/          # Rust - RusherBot
│   ├── guardian/        # PHP - GuardianBot
│   ├── swarm/           # TypeScript - SwarmBot
│   └── hunter/          # Java - HunterBot
└── docs/plan/           # Implementation plan

Strategy Bots

Bot Language Strategy
RandomBot Python Random valid moves (baseline)
GathererBot Go Energy collection, avoid combat
RusherBot Rust Rush enemy cores aggressively
GuardianBot PHP Defend cores, cautious expansion
SwarmBot TypeScript Formation cohesion, group advance
HunterBot Java Target isolated enemies

Deployment

See DEPLOYMENT.md for detailed deployment instructions.

Quick Deploy

# Start all strategy bots
docker-compose -f docker-compose.bots.yml up -d

# Start match workers
docker-compose -f docker-compose.workers.yml up -d

Testing

# Go engine tests
go test ./engine/... -v

# Worker API tests
cd worker-api && npm test

# Index builder tests
cd cmd/acb-indexer && npm test

Architecture

The platform uses a split architecture:

  • Cloudflare (free tier): Static site, API endpoints, D1 database, R2 storage
  • Rackspace Spot: Match workers, bot containers, index builder

See docs/plan/plan.md for the full implementation plan.

License

MIT