Experience the automated software development with AI team
Six specialized AI agents handle everything from requirements to deployment. No gaps, no handoffs, no chaos. Experience the power of intelligent orchestration with real-time performance optimization.
Multi-Agent AI Development Architecture
Luna Base's intelligent orchestration engine coordinates six specialized AI agents with deep domain expertise, enabling autonomous software development and intelligent automation workflows.
AI Copilot
Copilot
Copilot
Copilot
Copilot
Copilot
AI Performance Optimization
Fine-tune Luna Base's AI behavior and model selection based on your project complexity, budget constraints, and quality requirements for optimal automated development results.
Cost Optimized Development
Efficient processing with optimized resource allocation for maximum cost savings and sustainable development workflows. Perfect for MVPs and budget-conscious projects. Best for: MVPs, prototypes, budget-conscious projects requiring full development lifecycle coverage at maximum affordability and efficiency.
AI-Powered Development Workflows
Luna Base adapts to your development style with three intelligent workflow modes, each optimized for different automation levels and control preferences in AI-driven software development.
Full Auto Mode
Complete autonomous software development. Describe your vision, and Luna Base's AI development team handles everything from intelligent architecture design to automated deployment with zero manual intervention.
Semi-Auto Mode
AI-human collaborative development workflow. Luna Base's agents provide intelligent recommendations and automated implementations while seeking approval for strategic decisions, accelerating development velocity.
Developer Mode
Professional development workflow enhanced by AI automation. Complete control with intelligent AI assistance, GitHub integration, automated CI/CD pipelines, and advanced AI code generation capabilities.
Frequently Asked Questions
Luna Base: 100% coverage (requirements → deployment)
Requirements → Architecture → Code → Testing → Deploy
- Zero handoff gaps between AI development phases
- Shared project memory across all AI copilots and sessions
- Eliminates miscommunication between AI team members
- AI learns your preferences and coding standards over time
- Remembers project history and architectural decisions
- When one agent creates a component, others automatically generate corresponding APIs and tests