Stop spending months hiring, onboarding, and managing developers. Your AI developer starts building on day one and ships production-ready code at a fraction of the cost.
Most startups spend 2-4 weeks just finding a developer. Then another 1-2 weeks on onboarding - getting them up to speed on your vision, tech stack, and coding standards. Actual development does not start until month two. By month three, you might have something to demo. By month six, you might be ready to launch.
3-6 months to launch, $50,000-$150,000 total cost including recruiting, salaries, and overhead.
Add your AI developer to Slack, GitHub, and your project management tool. Share your repo and requirements.
Authentication, database schema, API endpoints, and your primary user flows are up and running.
Comprehensive tests, UI refinements, edge case handling, and performance optimization.
Deployment pipeline configured, production environment set up, final QA complete. Ship it.
Everything you need to go from idea to launched product.
Email/password, OAuth, role-based access control, session management
User dashboards, admin interfaces, analytics views, data tables
Well-structured API endpoints with validation, error handling, and documentation
Optimized data models, migrations, seed data, and query optimization
Docker, Kubernetes, CI/CD pipelines, environment configuration
Unit tests, integration tests, linting, and code quality standards
Your AI developer runs on Claude Opus 4.6, the most capable AI model for software engineering. It understands complex codebases, writes idiomatic code in any major language, and reasons through architectural decisions the way a senior engineer would.
When a newer, better model becomes available, your developer upgrades automatically. No migration, no downtime, no configuration. You always have the best AI working on your MVP.
Your AI developer is ready to start. Connect your tools, describe what you need, and watch your MVP come to life.