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jedarden 72addb2089 feat(web): add Agentation feedback overlay for UI annotation
Mounts the Agentation React component (v3) as a thin overlay on the vanilla TS
app via a React root shim. The toolbar appears bottom-right and lets users click
any element, annotate it, and generate structured markdown for AI agent feedback.
Submissions are persisted in localStorage and POSTed to /api/ui-feedback when
the API is available.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-21 08:26:00 -04:00
.github/workflows fix(ci): remove references to deleted worker-api and acb-indexer directories 2026-04-08 17:26:27 -04:00
bots Complete Phase 2: HTTP protocol and 6 strategy bots 2026-03-24 07:00:38 -04:00
cmd fix(index-builder): stream-copy web assets to avoid large-file OOM 2026-04-21 07:35:42 -04:00
docs docs(phase6): add deployment checklist and make scripts executable 2026-04-08 17:29:02 -04:00
engine feat(evolver): complete Phase 7 LLM-driven evolution implementation 2026-04-08 16:38:48 -04:00
scripts docs(phase6): add deployment checklist and make scripts executable 2026-04-08 17:29:02 -04:00
web feat(web): add Agentation feedback overlay for UI annotation 2026-04-21 08:26:00 -04:00
.env.example docs: Update deployment guide for K8s + B2 architecture 2026-03-29 11:24:06 -04:00
.gitignore Add Phase 7-9 features: evolution dashboard, WASM sandbox, enhanced replay 2026-03-29 01:13:23 -04:00
.needle-predispatch-sha docs(phase6): add deployment checklist and make scripts executable 2026-04-08 17:29:02 -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 Start Phase 6: Add deployment configuration and containers 2026-03-24 09:41:14 -04:00
docker-compose.workers.yml Start Phase 6: Add deployment configuration and containers 2026-03-24 09:41:14 -04:00
go.mod Implement S3 functions for R2/B2 integration in acb-index-builder 2026-03-29 09:09:29 -04:00
go.sum Add bot profile cards with Open Graph support (Phase 9 complete) 2026-03-29 03:30:46 -04:00
PROGRESS.md Remove legacy code: worker-api/, cmd/acb-indexer/, cluster-configuration/, gut cmd/acb-api/ 2026-03-29 10:22:16 -04:00
README.md Add README.md with project overview and quick start guide 2026-03-24 10:39:32 -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/app.html

Viewing Replays

  1. Open the web app at http://localhost:3000/app.html
  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