Everything a professional developer needs to ship faster with AI — without giving up control or privacy.
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 →
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 →
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 →
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 →
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 →
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 →