The AI Engineering Operating System
Stop prompting AI. Start engineering with AI.
Build production-grade software through Specification-Driven AI Engineering (SDAE).
AI coding tools have dramatically reduced the cost of writing code.
But software development is more than writing code.
The difficult questions still remain:
- What should we build?
- Why should we build it?
- What should we not build?
- What architecture should we choose?
- How should the business domain be modeled?
- How should APIs evolve?
- How do we build securely?
- How do we break work into small, reviewable changes?
- How do we validate AI-generated software?
FounderOS addresses the engineering process around AI — not just code generation.
Human
│
▼
Prompt
│
▼
AI
│
▼
Code
Product Intent
│
▼
Product Discovery
│
▼
Specification
│
▼
Architecture
│
▼
Implementation Plan
│
▼
AI Engineering Agents
│
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Incremental Implementation
│
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Validation
│
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Production Software
FounderOS enables founders and small engineering teams to build software with the discipline of a world-class engineering organization.
Instead of treating AI as a code generator, FounderOS treats AI as a team of specialized engineering roles working through structured workflows and reusable engineering artifacts.
FounderOS provides:
- 🤖 AI Engineering Agents
- 📄 Engineering Artifacts
- 📐 Architecture Standards
- 📋 Implementation Planning
- ✅ Quality Gates
- 🔄 Explicit Handoffs
- 📚 Reusable Templates and Playbooks
Great software is the result of great engineering systems — not better prompts.
AI makes software development faster.
FounderOS provides the engineering system that tells AI how to work.
Think
↓
Discover
↓
Specify
↓
Design
↓
Plan
↓
Build
↓
Validate
↓
Ship
↓
Learn
FounderOS organizes AI capabilities around engineering roles, not AI vendors.
The framework is intentionally tool-agnostic and can work alongside Kiro, Cursor, Claude Code, ChatGPT, Gemini, or future AI development tools.
| Engineering Role | Agent | Status |
|---|---|---|
| 👨💼 Senior Product Manager | Product Discovery Agent | ✅ |
| 📋 Product Manager | PRD Agent | ✅ |
| Engineering Role | Agent | Status |
|---|---|---|
| 🏛 Staff Engineer | Solution Architecture Agent | ✅ |
| 🗄 Database Architect | Database Design Agent | ✅ |
| 🧩 Domain Architect | Domain Modeling Agent | ✅ |
| 🔌 API Architect | API Specification Agent | ✅ |
| 🔐 Principal Security Engineer | Security Architecture Agent | ✅ |
| Engineering Role | Agent | Status |
|---|---|---|
| 📋 Staff Engineer / Engineering Manager | Implementation Planning Agent | ✅ |
| 💻 Senior Backend Engineer | Backend Module Implementation Agent | ✅ |
| 🎨 Senior Frontend Engineer | Frontend Module Implementation Agent | ✅ |
| 🤖 AI Platform Engineer | AI Module Implementation Agent | 🚧 |
| 🧪 QA Lead | Testing Agent | 🚧 |
| 🔍 Principal Engineer | Code Review Agent | 🚧 |
| 🚀 DevOps Engineer | Release Agent | 🚧 |
FounderOS agents collaborate through structured engineering artifacts.
Agent
│
▼
Engineering Artifact
│
▼
Next Agent
Examples:
| Agent | Artifact |
|---|---|
| Product Discovery | Product Discovery Document |
| PRD | Product Requirements Document |
| Solution Architecture | Architecture Document |
| Database Design | Database Design Document |
| Domain Modeling | Domain Model |
| API Specification | API / OpenAPI Specification |
| Security Architecture | Security Architecture |
| Implementation Planning | Implementation Plan |
| Backend Implementation | Backend Module |
| Frontend Implementation | Frontend Module |
This creates a traceable engineering workflow instead of a collection of disconnected prompts.
💡
IDEA
│
▼
🔍 DISCOVER
│
▼
📄 SPECIFY
│
▼
🏛 DESIGN
│
▼
📋 PLAN
│
▼
🤖 BUILD
│
▼
🧪 VALIDATE
│
▼
🚀 SHIP
│
▼
📈 LEARN
│
└──────────────► Improve
The goal isn't to eliminate engineering judgment.
The goal is to make good engineering judgment repeatable.
FounderOS is not:
- ❌ Another AI coding assistant
- ❌ Another collection of random prompts
- ❌ A replacement for Kiro, Cursor, Claude Code, or ChatGPT
- ❌ A framework locked to a specific AI vendor
- ❌ A "generate my entire application" workflow
FounderOS sits above these tools.
It defines how AI participates in software engineering.
FounderOS/
│
├── README.md
│
├── docs/
│ ├── vision.md
│ ├── workflow.md
│ └── principles.md
│
├── agents/
│ ├── product/
│ │ ├── product-discovery-agent.md
│ │ └── prd-agent.md
│ │
│ ├── architecture/
│ │ ├── solution-architecture-agent.md
│ │ ├── database-design-agent.md
│ │ ├── domain-modeling-agent.md
│ │ ├── api-specification-agent.md
│ │ └── security-architecture-agent.md
│ │
│ ├── engineering/
│ │ ├── implementation-planning-agent.md
│ │ ├── backend-module-implementation-agent.md
│ │ └── frontend-module-implementation-agent.md
│ │
│ ├── frontend/
│ ├── ai/
│ └── shared/
│
├── templates/
├── playbooks/
├── examples/
└── assets/
FounderOS is currently in early development.
- ✅ Vision
- ✅ Engineering Workflow
- ✅ Engineering Principles
- ✅ Product Discovery Agent
- ✅ PRD Agent
- ✅ Solution Architecture Agent
- ✅ Database Design Agent
- ✅ Domain Modeling Agent
- ✅ API Specification Agent
- ✅ Security Architecture Agent
- ✅ Implementation Planning Agent
- ✅ Backend Module Implementation Agent
- ✅ Frontend Module Implementation Agent
- 🚧 AI Module Implementation Agent
- 🚧 Testing Agent
- 🚧 Code Review Agent
- 🚧 Release Agent
- Vision
- Workflow
- Engineering Principles
- Agent framework
Status: 🟢 Complete
- Product Discovery
- PRD
- Solution Architecture
- Database Design
- Domain Modeling
- API Specification
- Security Architecture
Status: 🟢 Complete
- Implementation Planning
- Backend Module Implementation
- Frontend Module Implementation
- AI Module Implementation
- Testing
- Code Review
- Release
Status: 🟡 In Progress
Build canonical templates for:
- Product Discovery
- PRD
- Architecture
- Database
- Domain Model
- API
- Security
- Implementation Plan
- Testing
- ADRs
Status: 🔵 Planned
Create reusable playbooks for:
- Engineering
- Security
- Deployment
- Operations
- Incident Response
- AI-assisted development
Status: 🔵 Planned
Build complete products using FounderOS from:
Idea
↓
Discovery
↓
Specification
↓
Architecture
↓
Planning
↓
Implementation
↓
Testing
↓
Release
Status: 🔵 Planned
FounderOS follows a few fundamental principles:
- Specification before implementation
- AI is part of the engineering team
- Product-first thinking
- Simplicity over unnecessary complexity
- Small, reviewable changes
- Security by design
- Documentation as a first-class artifact
- Explicit engineering decisions
- AI-assisted, human-approved
- Tools may change; engineering principles remain
See docs/principles.md.
FounderOS is not intended to remain a prompt library.
The long-term vision is an AI Engineering Operating System where specialized AI engineering agents collaborate through structured artifacts, quality gates, and explicit handoffs.
Eventually, the workflow could look like:
founderos init
founderos discover
founderos specify
founderos architect
founderos plan
founderos implement
founderos test
founderos review
founderos releaseThe CLI is a future direction. The current focus is building the methodology and proving it with real projects.
FounderOS is an early-stage experiment.
The goal is to explore a simple question:
What happens when we give AI not just coding capabilities, but the engineering process of a high-performing software organization?
The framework is evolving through real projects, experiments, and feedback.
Ideas, criticism, contributions, and experiments are welcome.
Don't give AI a prompt. Give AI an engineering system.
AI can generate code.
FounderOS provides the context, process, constraints, architecture, artifacts, and quality gates around that code.