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 + Clerk)
↓
3. Agent (auth-expert) provides specialized guidance
↓
4. Skills (auth/clerk) 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