SDLC automation platform - strategic project management with CI/CD integration and automated bug-fix loops
Project description
now:
before:
Planfile
AI Cost Tracking
- ๐ค LLM usage: $7.5000 (66 commits)
- ๐ค Human dev: ~$2635 (26.4h @ $100/h, 30min dedup)
Generated on 2026-04-16 using openrouter/qwen/qwen3-coder-next
Planfile is an SDLC automation platform that provides strategic project management with CI/CD integration and automated bug-fix loops. It manages sprints and strategies across external ticket systems like GitHub, Jira, and GitLab.
๐ Project Metrics
- 56 modules with 395 functions
- Cyclomatic Complexity: CCฬ=4.1 (improved from 4.2)
- Critical functions: 15 (target: โค4)
- Zero circular dependencies
- Languages: Python (53), Shell (17), JavaScript (3)
โจ Features
- ๐ฏ Strategy Modeling: Define strategies and sprints in YAML with task patterns
- ๐ Automated CI/CD Loop: Test โ Ticket โ Fix โ Retest automation
- ๐ Multi-Backend Support: Integrates with GitHub Issues, Jira, GitLab, and generic HTTP APIs
- ๐ค LLM-Powered: AI-driven bug reports and auto-fix capabilities
- ๐ Progress Tracking: Review strategy execution with detailed metrics
- ๐ CLI Tool: Easy-to-use command-line interface for applying and reviewing strategies
- ๐ Python Library: Use planfile programmatically in your Python applications
- ๐ REST API: Run as FastAPI server for HTTP access and integrations
- ๐จ Rich Output: Beautiful terminal output with progress bars and tables
- ๐ณ Docker Support: Containerized deployment with Ollama integration
- ๐ง Extensible: Easy to add new backends and custom integrations
- ๐ Code Analysis: Integration with external tools (code2llm, vallm, redup)
- ๐ MCP Server: Model Context Protocol server integration
- ๐ค LLX Integration: Advanced code analysis and model selection
- ๐ Proxy Routing: Smart model routing via Proxym API
- ๐ Metrics-Driven: Project metrics analysis for informed planning
Basic installation
pip install planfile
With all backend integrations
pip install planfile[all]
Or with specific backends
pip install planfile[github,jira] pip install planfile[gitlab]
### 1. Create a Strategy
Create a `strategy.yaml` file:
```yaml
name: "My Project Strategy"
project_type: "web"
domain: "fintech"
goal: "Launch a secure payment processing platform"
sprints:
- id: 1
name: "Core Infrastructure"
length_days: 14
objectives:
- Set up project structure
- Implement authentication
tasks:
- type: "feature"
title: "Setup project structure"
description: "Create basic project layout and configuration"
estimate: 2
priority: "high"
- id: 2
name: "Payment Processing"
length_days: 21
objectives:
- Implement payment gateway
- Add security measures
tasks:
- type: "feature"
title: "Payment gateway integration"
description: "Integrate with payment provider API"
estimate: 5
priority: "critical"
GitHub
export GITHUB_TOKEN=your_token export GITHUB_REPO=owner/repo
Jira
export JIRA_URL=https://company.atlassian.net export JIRA_EMAIL=your@email.com export JIRA_TOKEN=your_token export JIRA_PROJECT=PROJ
GitLab
export GITLAB_TOKEN=your_token export GITLAB_PROJECT_ID=123
# Run automated bug-fix loop
planfile auto loop \
--strategy ./strategy.yaml \
--project . \
--backend github \
--max-iterations 5 \
--auto-fix
# Check CI status
planfile auto ci-status
# Review strategy progress
planfile strategy review \
--strategy ./strategy.yaml \
--project . \
--backend github
4. Using Python Library
from planfile import Planfile, quick_ticket
# Auto-discover .planfile/ in your project
pf = Planfile.auto_discover(".")
# Create tickets programmatically
ticket = pf.create_ticket(
title="Fix authentication bug",
description="Users cannot login with OAuth",
priority="high",
labels=["bug", "backend"]
)
# List and filter tickets
tickets = pf.list_tickets(sprint="current", status="open")
# Quick one-liner for tools
ticket = quick_ticket("Production alert", tool="monitoring", priority="critical")
Start the FastAPI server
uvicorn planfile.api.server:app --reload --port 8000
Use the API
curl "http://localhost:8000/tickets?sprint=current"
curl -X POST "http://localhost:8000/tickets"
-H "Content-Type: application/json"
-d '{"title": "API fix", "priority": "high"}'
# Run CI loop with strategy
make ci-loop STRATEGY=strategy.yaml BACKENDS=github MAX_ITERATIONS=5
# Run examples
make example-github
make example-jira
# Full pipeline
make pipeline-docker
๐ CI/CD Automation
Planfile provides complete automation for the bug-fix lifecycle:
- Test Execution: Run your test suite
- Bug Detection: Identify failing tests and code issues
- AI Analysis: Generate detailed bug reports using LLM
- Ticket Creation: Create tickets in your PM system
- Auto-Fix: Optionally fix bugs automatically with AI
- Verification: Re-run tests to verify fixes
- Loop: Repeat until all tests pass
Run with Docker Compose
docker-compose up -d
Run auto-loop in container
docker-compose exec sprintstrat-runner planfile auto loop
--strategy /app/strategy.yaml
--project /workspace
--backend github
--max-iterations 5
## ๐ Documentation
- [CI/CD Integration Guide](docs/CI_CD_INTEGRATION.md)
- [API Reference](docs/API.md)
- [CLI Reference](docs/CLI.md)
- [Examples](examples/)
- [Architecture Overview](docs/summaries/)
- [Migration Guide](MIGRATION_GUIDE.md)
- [Changelog](CHANGELOG.md)
### Strategy Schema (v2)
The `strategy.yaml` file supports:
- **Sprints**: Time-boxed development periods with embedded tasks
- **Goals**: Project objectives with success criteria
- **Quality Gates**: Definition of done criteria
- **Model Hints**: AI model suggestions for different phases
### Example Strategy (v2)
```yaml
name: "My Project Strategy"
project_type: "web"
domain: "fintech"
goal:
title: "Launch secure payment platform"
description: "Build and deploy a secure payment processing system"
success_metrics:
- "99.9% uptime"
- "<100ms response time"
sprints:
- id: 1
name: "Core Infrastructure"
length_days: 14
objectives: ["Set up project structure", "Implement authentication"]
tasks:
- type: "feature"
title: "Setup project structure"
description: "Create basic project layout and configuration"
estimate: 2
priority: "high"
model_hints:
small: "gpt-5.4-mini"
large: "gpt-4o"
quality_gates:
- name: "Code Coverage"
criteria: ["coverage >= 80%"]
required: true
Backend Configuration
Each backend requires specific configuration:
# GitHub backend
github:
token: ${GITHUB_TOKEN}
repo: ${GITHUB_REPO}
# Jira backend
jira:
url: ${JIRA_URL}
email: ${JIRA_EMAIL}
token: ${JIRA_TOKEN}
project: ${JIRA_PROJECT}
๐ค AI Integration
Planfile integrates with multiple LLM services:
- Multiple Providers: OpenAI, Anthropic, LiteLLM, Local LLMs
- Smart Routing: Automatic model selection via Proxym proxy
- Code Analysis: LLX integration for advanced metrics
- Auto-Fix: Automatic code generation for bug fixes
- Strategy Generation: AI-powered strategy creation
# Enable AI features
export OPENAI_API_KEY=your_key
export ANTHROPIC_API_KEY=your_key
export PROXY_API_URL=http://localhost:9999
# Run with auto-fix
planfile auto loop --strategy strategy.yaml --auto-fix
# Generate strategy with AI
planfile strategy generate ./my-project --model gpt-4o
๐ Examples
Explore the examples/ directory for comprehensive use cases:
List all available examples
planfile examples list
Run a specific example
planfile examples run code2llm
Run all examples (with timeout protection)
planfile examples run --all
### Featured Examples
- **[checkbox-tickets](examples/checkbox-tickets/)** - Native markdown checkbox support (`- [ ]` / `- [x]`)
- **[code2llm](examples/code2llm/)** - Code analysis with LLM integration
- **[bash-generation](examples/bash-generation/)** - Generate bash scripts from strategies
- **[cli-commands](examples/cli-commands/)** - CLI usage patterns
- **[advanced-usage](examples/advanced-usage/)** - CI/CD integration examples
- **[interactive-tests](examples/interactive-tests/)** - Interactive mode demonstrations
- **[ecosystem](examples/ecosystem/)** - MCP, LLX, and proxy routing integrations
# examples/quick-start.yaml
name: "Quick Start Demo"
project_type: "web"
domain: "demo"
goal: "Demonstrate planfile capabilities"
sprints:
- id: 1
name: "Setup"
length_days: 7
tasks:
- type: "feature"
title: "Initialize project"
description: "Create basic project structure"
estimate: 1
priority: "high"
For more examples, see the examples directory.
Web Project Strategy
name: "E-commerce MVP"
project_type: "web"
domain: "ecommerce"
goal: "Launch minimum viable e-commerce platform"
sprints:
- id: 1
name: "Foundation"
length_days: 10
tasks:
- type: "feature"
title: "Setup project structure"
estimate: 1
- type: "feature"
title: "Database schema"
estimate: 3
Mobile App Strategy
name: "Mobile App MVP"
project_type: "mobile"
domain: "healthcare"
goal: "Launch health tracking mobile app"
sprints:
- id: 1
name: "Core Features"
length_days: 14
tasks:
- type: "feature"
title: "User authentication"
estimate: 3
- type: "feature"
title: "Health data tracking"
estimate: 5
Version Control
- GitHub: Issues, Projects, Actions
- GitLab: Issues, CI/CD, Merge Requests
- Bitbucket: Issues, Pipelines
Project Management
- Jira: Issues, Epics, Sprints
- Linear: Issues, Projects, Teams
- ClickUp: Tasks, Lists, Spaces
- Asana: Tasks, Projects, Portfolios
CI/CD Platforms
- GitHub Actions: Workflow automation
- GitLab CI: Pipeline integration
- Jenkins: Build automation
- Azure DevOps: Release management
Clone repository
git clone https://github.com/semcod/planfile cd strategy
Create virtual environment
python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate
Install in development mode
pip install -e ".[dev]"
Run linting
ruff check src/ tests/ ruff format src/ tests/
### Project Structure
planfile/ โโโ planfile/ # Main package โ โโโ analysis/ # Code analysis components โ โ โโโ external_tools.py # External tool integrations โ โ โโโ generator.py # Strategy generation โ โ โโโ file_analyzer.py # File analysis โ โ โโโ sprint_generator.py # Sprint generation โ โ โโโ parsers/ # YAML/JSON/Toon parsers โ โ โโโ generators/ # Metrics extractors โ โโโ cli/ # CLI commands โ โ โโโ cmd/ # Core commands (init, generate, apply, etc.) โ โ โโโ auto_loop.py # CI/CD automation โ โ โโโ extra_commands.py # Additional utilities โ โโโ integrations/ # Backend integrations โ โ โโโ github.py # GitHub Issues โ โ โโโ jira.py # Jira โ โ โโโ gitlab.py # GitLab โ โ โโโ generic.py # Generic HTTP API โ โโโ llm/ # LLM integrations โ โ โโโ adapters.py # Multiple LLM adapters โ โ โโโ client.py # LLM client โ โ โโโ generator.py # Strategy generation โ โโโ loaders/ # Data loaders โ โ โโโ yaml_loader.py # YAML loading/saving โ โ โโโ cli_loader.py # JSON/Markdown export โ โโโ models.py # Core data models โ โโโ models_v2.py # Simplified models โ โโโ runner.py # Strategy execution โ โโโ ci_runner.py # CI/CD automation โ โโโ executor_standalone.py # Standalone executor โโโ examples/ # Usage examples โ โโโ quick-start/ # Basic examples โ โโโ ecosystem/ # Integration examples โ โโโ advanced-usage/ # Advanced features โโโ tests/ # Test suite โโโ docs/ # Documentation โโโ project/ # Project analysis output
## ๐ License
This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.
## ๐ค Contributing
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
## ๐ Support
- ๐ [Documentation](docs/)
- ๐ [Issue Tracker](https://github.com/semcod/planfile/issues)
- ๐ฌ [Discussions](https://github.com/semcod/planfile/discussions)
## ๐ Acknowledgments
- Built with [Typer](https://typer.tiangolo.com/) for CLI
- Styled with [Rich](https://rich.readthedocs.io/) for terminal output
- Validated with [Pydantic](https://pydantic-docs.helpmanual.io/) for data models
---
**Planfile** - Your strategic partner in SDLC automation. ๐
## License
Licensed under Apache-2.0.
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