From idea to deployment. AI handles the journey.
Stop writing boilerplate. Studio generates architecture, specs, code, and infrastructure — with full cross-project context from a centralized server.

Why centralized AI beats local copilots
IDE copilots work file-by-file. Studio works project-by-project — with full context, shared indexing, and parallel processing.
Centralized Codebase Index
IDE copilots re-parse files on every request
Index once, query everywhere — dramatically fewer tokens
Cross-Repo Context
Local AI only sees open tabs and recent files
Server has full visibility across all repositories
Coherent Multi-File Changes
Local AI generates disconnected snippets
Server plans changes across entire systems coherently
Parallel Processing
IDE processes requests sequentially
Multiple AI workers process your project simultaneously
Enforced Policies
Client-side guardrails can be bypassed
Server-side policies cannot be circumvented
Usage Analytics
No visibility into AI costs or usage
Track every operation, control costs, prove ROI
Seven stages. Parallel execution. Full coherence.
Each stage builds on the previous. Multiple AI workers process your project simultaneously — all with shared context from the centralized server.
Analysis
Understand existing code, identify patterns, map dependencies
Features
Define capabilities on a visual canvas with AI suggestions
Architecture
AI generates architecture decisions based on your constraints
Specs
Auto-generate detailed technical specifications
Backend
Generate server-side code with full context awareness
Frontend
Build UI components connected to your backend specs
Tests
Auto-generate comprehensive test suites
New projects or existing codebases
Studio works for greenfield development or brownfield modernization — with the same centralized efficiency.
Greenfield
New projects from scratch
- Define capabilities on visual canvas
- Full project context from the start
- Parallel AI workers generate coherent systems
- Cross-module consistency guaranteed
- One-click infrastructure generation
Brownfield
Existing codebase modernization
- Centralized codebase indexing — query once
- Cross-repo dependency & pattern mapping
- Server-side refactoring plans
- Shared context eliminates redundant tokens
- Safe incremental changes with impact analysis
See it in action
From project setup to deployment, Studio guides you through every stage with AI-powered assistance.

Project Setup
Connect your repo, choose tech stack, and configure architecture in minutes.

Parallel Processing
Multiple AI workers generate specs, contracts, and code simultaneously.
Generate infrastructure for any cloud
Studio generates IaC manifests for your target platform. One click from architecture to deployment.
Amazon Web Services
ECS Fargate, RDS, ElastiCache
Microsoft Azure
Container Apps, SQL DB
Google Cloud
Cloud Run, Cloud SQL
Kubernetes
Generic K8s manifests
Context-aware help at every stage
The AI Assistant knows your entire project — not just the file you're looking at. Ask about architecture, request code changes, or get help with deployments.
- Project-aware responsesKnows your architecture, specs, and code patterns
- Skill-based actionsExecute tasks like "Generate architecture" or "Run tests"
- Voice inputCtrl+B to toggle voice — just speak your request
- Persistent memoryRemembers context across conversations
I'm here to help you build your project. Start typing to begin chatting.
Stop writing boilerplate. Start shipping features.
Studio transforms how development teams work — with AI that has full project context, not just open files.