AI Context Brain

Public Beta Notice AI Context Brain is currently in Public Beta. Some features may evolve and minor bugs may exist. We actively improve the product based on user feedback.

AI Context Brain is a developer tool designed to capture codebase structure and context, facilitating better project understanding for AI coding assistants. Available as a VS Code extension, it runs local scans and generates optimized context and rule files for Cursor, Claude Code, GitHub Copilot, and Windsurf.

Product Film

The cinematic film introduces the product promise and brand:

Watch the cinematic product film

Real Product Workflow

The real workflow is shown separately from the film so developers can inspect the actual extension and dashboard behavior.

Core flow:

1. Scan Repository
2. Generate Context
3. Explain with Project Memory
4. Export AI IDE Context
5. Review Dashboard
6. Track Usage Statistics

Watch the real product demo

View the real workflow on the website

Marketplace Visuals

The Marketplace listing prioritizes real extension and dashboard visuals:

• Scan Repository
• Generate Context
• Explain
• Export
• Dashboard
• Usage Statistics

✨ What Problem It Solves

AI assistants often lose project context when prompts get long, when context windows fill up, or when models restart. Developers waste tokens and time copy-pasting directory structures, re-explaining frameworks, and manually reminding AI tools of architecture rules or coding conventions.

AI Context Brain addresses this by maintaining a structured, compressed local codebase snapshot. It translates this snapshot into format-specific instructions that direct your AI coding assistant, helping it write code that fits your project rules.

🚀 Key Features

• Intelligent Local Scanning: Auto-detects frameworks (Next.js, React, ASP.NET Core, Python, Go, Node.js), dependency maps, and overall folder layouts.
• Source-Backed Code Intelligence: Maps route auth/roles/policies, tenant and plan gates, constructor DI, entity relationships, module confidence, provider fallback, decisions, and exact source locations.
• AST Architecture Guard: Uses the TypeScript compiler AST for local diagnostics and sends C# source to the authenticated backend for Roslyn analysis.
• 🔒 .brainignore File Exclusion: Prevent context bloat. Define exact glob patterns (merging .gitignore rules and custom patterns) to automatically filter large files or build assets.
• ⚡ SHA-256 Incremental Scanning: Caches file hashes under .brain-cache/hashes.json to only scan added, modified, or deleted files, avoiding full project scans.
• 🏗️ Custom Architecture Rules Engine: Define rules using 6 structured types (Regex, Folder Restriction, Content Forbidden, Import Restriction, Naming Paradigm, File Size Limit) with Error, Warning, and Info severity levels.
• 📡 Background File Watcher: A debounced file watcher that automatically schedules incremental scans in the background as you edit code.
• 🔧 QuickFix "Fix with AI": VS Code QuickFix integration that connects to the backend API to suggest code corrections for rule violations.

🎮 Available Commands

⚙️ Extension Settings

Add these custom configurations under your VS Code settings.json:

{
  "aiContextBrain.apiUrl": "https://api.aicontextbrain.me",
  "aiContextBrain.webUrl": "https://aicontextbrain.me",
  "aiContextBrain.autoScan": false,
  "aiContextBrain.autoExportOnScan": true,
  "aiContextBrain.autoSync": true,
  "aiContextBrain.autoSyncDebounceSeconds": 30
}

🆚 Comparison with Native Context Features

Team collaboration is the paid tier for shared project memory, member roles and aligned AI context across collaborators.

📄 License

MIT License — see LICENSE for details.

🔗 Links

• 🌐 Website: aicontextbrain.me
• GitHub Repository: AiContextBrain/AI-Context-Brain
• 🐛 Issues: GitHub Issues
• 📧 Support: support@aicontextbrain.me