p-org/P
{ "createdAt": "2015-06-21T06:26:36Z", "defaultBranch": "master", "description": "The P programming language.", "fullName": "p-org/P", "homepage": "https://p-org.github.io/P/", "language": "C#", "name": "P", "pushedAt": "2026-03-14T15:59:11Z", "stargazersCount": 3584, "topics": [ "asynchronous", "distributed-systems", "event-driven", "formal-methods", "formal-verification", "model-checking", "p", "programming-language", "state-machine", "systematic-testing" ], "updatedAt": "2026-03-21T14:21:36Z", "url": "https://github.com/p-org/P"}Formal Modeling and Analysis of Distributed Systems
P is a state machine based programming language for formally modeling and specifying complex distributed systems. P allows programmers to model their system design as a collection of communicating state machines and provides automated reasoning backends to check that the system satisfies the desired correctness specifications.
Impact
Section titled “Impact”P enables developers to model system designs as communicating state machines—a natural fit for microservices and service-oriented architectures. Teams across AWS building flagship products—from storage (S3, EBS), to databases (DynamoDB, MemoryDB, Aurora), to compute (EC2, IoT)—use P to reason about the correctness of their designs. P has helped these teams eliminate several critical bugs early in the development process.
📄 Systems Correctness Practices at Amazon Web Services — Marc Brooker and Ankush Desai, Communications of the ACM, 2025.
Why Teams Choose P
Section titled “Why Teams Choose P”| Benefit | Description |
|---|---|
| Thinking Tool | Writing specifications forces rigorous design thinking—many bugs are caught before any code runs. |
| Bug Finder | Model checking uncovers corner-case bugs that stress testing and integration testing miss. |
| Faster Iteration | After initial modeling, changes can be validated quickly before implementation. |
What’s New
Section titled “What’s New”PeasyAI — AI-Powered Code Generation
Section titled “PeasyAI — AI-Powered Code Generation”Generate P state machines, specifications, and test drivers directly from design documents.
- Integrates with Cursor and Claude Code via MCP
- 27 specialized tools for P development
- Ensemble generation with auto-fix pipeline
- 1,200+ RAG examples for context-aware generation
PObserve — Runtime Monitoring
Section titled “PObserve — Runtime Monitoring”Validate that production systems conform to their formal P specifications.
- Check service logs against P monitors
- Bridge design-time verification with runtime behavior
- Works in both testing and production environments
The P Framework
Section titled “The P Framework”| Component | Description |
|---|---|
| P Language | Model distributed systems as communicating state machines. Specify safety and liveness properties. |
| P Checker | Systematically explore message interleavings and failures to find deep bugs. Additional backends: PEx, PVerifier. |
| PeasyAI | AI-powered code generation with auto-fix and human-in-the-loop support. |
| PObserve | Validate service logs against P specifications. |
Let the fun begin!
Section titled “Let the fun begin!”You can find most of the information about the P framework on: https://p-org.github.io/P/
What is P? | Getting Started | PeasyAI | Tutorials | Case Studies | Publications
If you have any questions, please feel free to create an issue, ask on discussions, or [email us]!(mailto:ankushdesai@gmail.com).
P has always been a collaborative project between industry and academia (since 2013). The P team welcomes contributions and suggestions from all of you! See [CONTRIBUTING]!(CONTRIBUTING.md) for more information.