Core Concepts
Understanding these core concepts will help you get the most out of Bootspring.
Overview
Bootspring is built around several key concepts that work together to supercharge your AI-assisted development:
┌─────────────────────────────────────────────────────────────────┐
│ Bootspring │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────────────┐ │
│ │ Context │ │ Agents │ │ Skills │ │
│ │ Auto-generated│ │ 35+ Experts │ │ 55+ Code Patterns │ │
│ │ project info │ │ │ │ │ │
│ └──────────────┘ └──────────────┘ └──────────────────────┘ │
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────────────┐ │
│ │ Workflows │ │ Quality │ │ MCP │ │
│ │ Orchestrated │ │ Gates │ │ Protocol Integration │ │
│ │ phases │ │ │ │ │ │
│ └──────────────┘ └──────────────┘ └──────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘
Key Concepts
Context Generation
Context is the foundation of effective AI assistance. Bootspring automatically generates a CLAUDE.md file that captures your project's tech stack, structure, conventions, and guidelines. This ensures your AI assistant understands your project from the start.
Key points:
- Auto-detects frameworks, databases, and tools
- Captures coding conventions and patterns
- Updates as your project evolves
- Customizable with team-specific guidelines
Agents
Agents are specialized AI expert profiles. Instead of generic AI responses, agents provide deep domain expertise in areas like frontend development, database design, security, and business strategy.
Key points:
- 35+ specialized agents available
- Technical agents for coding tasks
- Business agents for strategy and operations
- Agents can be chained for complex tasks
Skills
Skills are production-ready code patterns you can instantly apply to your project. Instead of writing common functionality from scratch, use battle-tested patterns for authentication, payments, APIs, and more.
Key points:
- 55+ patterns across 22 categories
- Full TypeScript implementations
- Best practices built-in
- Customizable for your project
Workflows
Workflows orchestrate complex multi-step processes. They coordinate agents, skills, and quality gates to accomplish sophisticated tasks like building features, launching products, or preparing for fundraising.
Key points:
- Multi-phase execution
- Agent coordination
- Progress tracking and checkpoints
- Customizable workflow templates
Orchestrator
The orchestrator is the engine that powers workflows. It manages phase transitions, handles failures, coordinates agents, and ensures tasks complete successfully.
Key points:
- 9 development lifecycle phases
- Parallel and sequential execution
- State persistence and recovery
- Adaptive workflow patterns
MCP Integration
Bootspring uses the Model Context Protocol (MCP) to communicate with AI assistants. This open standard enables secure, standardized tool access across different AI platforms.
Key points:
- 19 MCP tools available
- Works with Claude, Cursor, and more
- Secure capability exposure
- Extensible architecture
Tiers and Limits
Bootspring offers different subscription tiers with varying access to agents, skills, and features. Understanding your tier helps you make the most of available capabilities.
Key points:
- Free, Pro, Team, and Enterprise tiers
- Agent access varies by tier
- API call limits per tier
- Device authorization limits
How They Work Together
Here's how these concepts connect in practice:
Example: Building a Feature
1. Context provides project understanding
↓
2. Workflow orchestrates the process
↓
3. Agents provide expert guidance per phase
↓
4. Skills supply code patterns
↓
5. Quality gates validate the work
↓
6. Feature complete!
Example: Getting Help
1. You ask: "Help me add authentication"
↓
2. Context tells Bootspring your stack (Next.js + JWT auth)
↓
3. Agent (auth-expert) provides specialized guidance
↓
4. Skills (auth/jwt) supply implementation patterns
↓
5. Quality gates verify security
Learning Path
We recommend learning these concepts in order:
- Context Generation - Start here to understand the foundation
- Agents - Learn how to get expert help
- Skills - Discover the pattern library
- Workflows - Automate complex processes
- MCP Integration - Understand the protocol
- Tiers and Limits - Know your capabilities
Quick Reference
| Concept | What It Is | When to Use |
|---|---|---|
| Context | Project information for AI | Always (auto-generated) |
| Agent | Expert AI profile | Getting specialized help |
| Skill | Code pattern | Implementing common features |
| Workflow | Multi-step process | Complex, coordinated tasks |
| Quality Gate | Automated checks | Before commit/push/deploy |
Next Steps
- Context Generation - Start with the foundation
- Your First Project - Hands-on tutorial
- Agents Reference - Browse all agents