🔒

Security First Architecture

Every AI operation runs inside a secure sandbox on your machine. No code ever leaves your computer. All model keys are encrypted at rest and never transmitted to our servers.

// Example: AI never sees your production keys
// Keys are decrypted only in memory for local model calls
const key = await secureStorage.getDecrypted('openai-key');
// key never leaves the process
Learn more about security →
🧠

Multi-Agent Intelligence

Specialized agents collaborate like a real engineering team: Planner, Builder, Researcher, Debugger, Reviewer, Security, Testing, and Coordinator. Each agent has its own expertise and context.

// Agents coordinate automatically
await coordinator.run([
  planner.createPlan(request),
  builder.implement(plan),
  reviewer.review(changes),
  security.scan(changes)
]);
Explore all agents →
🎯

AI Composer — Multi-File Editing

Describe a complete feature. The Composer analyzes your project, builds a plan, shows you exactly what will change, and applies modifications across multiple files with full diff preview and rollback.

User: "Add Stripe payments with subscriptions"
Composer:
  - Analyzed: package.json, auth, database, API routes
  - Plan: 7 files to modify, 3 new files
  - Preview: [diff shown for each file]
  - Apply: ✓ All changes applied and verified
Master the Composer →
🔀

Smart Model Routing

The IDE automatically selects the best model for each task. Claude 3.5 for architecture and complex coding, DeepSeek for fast edits, o1-preview for deep reasoning, GPT-4o-mini for documentation.

Task: "Debug authentication race condition"
→ Detected: High complexity, debugging
→ Routing to: o1-preview (reasoning model)
See routing logic →
💾

Engineering Memory 2.0

Three persistent memory layers that remember everything: Project Memory (architecture, schemas, APIs), Developer Memory (your style, patterns, preferences), Team Memory (standards, reviews, docs).

// Memory automatically indexes decisions
memory.recordArchitectureDecision(
  "Use event sourcing for orders",
  "Required for audit compliance and replay"
);
const pastDecisions = memory.search("audit trail");
Understand Engineering Memory →
🖥️

AI Terminal Agent

Let the AI run real terminal commands safely. It plans commands, verifies safety, asks for approval on dangerous operations, and interprets output to continue or recover from errors.

User: "Deploy this application to production"
Terminal Agent:
  1. npm run build          ✓
  2. docker build ...       ✓
  3. docker push ...        [requires approval]
  4. kubectl apply ...      [requires approval]
  5. Health check           ✓
See Terminal Agent guide →