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
 │
 ▼
Incremental Implementation
 │
 ▼
Validation
 │
 ▼
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.

FounderOS agents collaborate through structured engineering artifacts.

Agent
 │
 ▼
Engineering Artifact
 │
 ▼
Next Agent

Examples:

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 release

The 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.