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SDLC automation platform - strategic project management with CI/CD integration and automated bug-fix loops

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Planfile

Python Version License: Apache-2.0 PyPI version PyPI Downloads CI/CD Code Coverage Code Quality Functions Modules Code style: black Ruff MyPy Pydantic Docker Documentation GitHub Issues GitHub Pull Requests GitHub Stars GitHub Forks Last Commit Release Date Project Status

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.

๐Ÿ“Š Project Metrics

  • 56 modules with 395 functions
  • Cyclomatic Complexity: CCฬ„=4.1 (improved from 4.2)
  • Critical functions: 15 (target: โ‰ค4)
  • Zero circular dependencies
  • Languages: Python (53), Shell (17), JavaScript (3)

โœจ Features

  • ๐ŸŽฏ Strategy Modeling: Define strategies and sprints in YAML with task patterns
  • ๐Ÿ”„ Automated CI/CD Loop: Test โ†’ Ticket โ†’ Fix โ†’ Retest automation
  • ๐Ÿ”Œ Multi-Backend Support: Integrates with GitHub Issues, Jira, GitLab, and generic HTTP APIs
  • ๐Ÿค– LLM-Powered: AI-driven bug reports and auto-fix capabilities
  • ๐Ÿ“Š Progress Tracking: Review strategy execution with detailed metrics
  • ๐Ÿš€ CLI Tool: Easy-to-use command-line interface for applying and reviewing strategies
  • ๐ŸŽจ Rich Output: Beautiful terminal output with progress bars and tables
  • ๐Ÿณ Docker Support: Containerized deployment with Ollama integration
  • ๐Ÿ”ง Extensible: Easy to add new backends and custom integrations
  • ๐Ÿ” Code Analysis: Integration with external tools (code2llm, vallm, redup)
  • ๐ŸŒ MCP Server: Model Context Protocol server integration
  • ๐Ÿค– LLX Integration: Advanced code analysis and model selection
  • ๐ŸŒ‰ Proxy Routing: Smart model routing via Proxym API
  • ๐Ÿ“ˆ Metrics-Driven: Project metrics analysis for informed planning

๐Ÿ“ฆ Installation

# 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]

๐Ÿš€ Quick Start

1. Create a Strategy

Create a strategy.yaml file:

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"

2. Configure Environment

# 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

3. Run CI/CD Auto-Loop

# 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 Makefile

# 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

๐Ÿ”„ CI/CD Automation

Planfile provides complete automation for the bug-fix lifecycle:

  1. Test Execution: Run your test suite
  2. Bug Detection: Identify failing tests and code issues
  3. AI Analysis: Generate detailed bug reports using LLM
  4. Ticket Creation: Create tickets in your PM system
  5. Auto-Fix: Optionally fix bugs automatically with AI
  6. Verification: Re-run tests to verify fixes
  7. Loop: Repeat until all tests pass

๐Ÿณ Docker Support

# Build Docker image
make docker-build

# 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

๐Ÿ“š Documentation

๐Ÿ”ง Configuration

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)

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-4o-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}

๐Ÿค– 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

๐Ÿ“Š Examples

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

๐Ÿ”— Integrations

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

๐Ÿ› ๏ธ Development

Setup Development Environment

# Clone repository
git clone https://github.com/semcod/strategy
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 tests
pytest tests/ -v

# Run linting
ruff check src/ tests/
ruff format src/ tests/

Project Structure

planfile/
โ”œโ”€โ”€ planfile/              # Main package
โ”‚   โ”œโ”€โ”€ analysis/          # Code analysis components
โ”‚   โ”‚   โ”œโ”€โ”€ external_tools.py    # External tool integrations
โ”‚   โ”‚   โ”œโ”€โ”€ generator.py         # Strategy generation
โ”‚   โ”‚   โ”œโ”€โ”€ file_analyzer.py     # File analysis
โ”‚   โ”‚   โ”œโ”€โ”€ sprint_generator.py  # Sprint generation
โ”‚   โ”‚   โ”œโ”€โ”€ parsers/             # YAML/JSON/Toon parsers
โ”‚   โ”‚   โ””โ”€โ”€ generators/          # Metrics extractors
โ”‚   โ”œโ”€โ”€ cli/               # CLI commands
โ”‚   โ”‚   โ”œโ”€โ”€ cmd/           # Core commands (init, generate, apply, etc.)
โ”‚   โ”‚   โ”œโ”€โ”€ auto_loop.py   # CI/CD automation
โ”‚   โ”‚   โ””โ”€โ”€ extra_commands.py # Additional utilities
โ”‚   โ”œโ”€โ”€ integrations/      # Backend integrations
โ”‚   โ”‚   โ”œโ”€โ”€ github.py      # GitHub Issues
โ”‚   โ”‚   โ”œโ”€โ”€ jira.py        # Jira
โ”‚   โ”‚   โ”œโ”€โ”€ gitlab.py      # GitLab
โ”‚   โ”‚   โ””โ”€โ”€ generic.py     # Generic HTTP API
โ”‚   โ”œโ”€โ”€ llm/               # LLM integrations
โ”‚   โ”‚   โ”œโ”€โ”€ adapters.py    # Multiple LLM adapters
โ”‚   โ”‚   โ”œโ”€โ”€ client.py      # LLM client
โ”‚   โ”‚   โ””โ”€โ”€ generator.py   # Strategy generation
โ”‚   โ”œโ”€โ”€ loaders/           # Data loaders
โ”‚   โ”‚   โ”œโ”€โ”€ yaml_loader.py # YAML loading/saving
โ”‚   โ”‚   โ””โ”€โ”€ cli_loader.py  # JSON/Markdown export
โ”‚   โ”œโ”€โ”€ models.py          # Core data models
โ”‚   โ”œโ”€โ”€ models_v2.py       # Simplified models
โ”‚   โ”œโ”€โ”€ runner.py          # Strategy execution
โ”‚   โ”œโ”€โ”€ ci_runner.py       # CI/CD automation
โ”‚   โ””โ”€โ”€ executor_standalone.py # Standalone executor
โ”œโ”€โ”€ examples/              # Usage examples
โ”‚   โ”œโ”€โ”€ quick-start/       # Basic examples
โ”‚   โ”œโ”€โ”€ ecosystem/         # Integration examples
โ”‚   โ””โ”€โ”€ advanced-usage/    # Advanced features
โ”œโ”€โ”€ tests/                 # Test suite
โ”œโ”€โ”€ docs/                  # Documentation
โ””โ”€โ”€ project/               # Project analysis output

๐Ÿ“„ License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

๐Ÿค 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.

๐Ÿ“ž Support

๐Ÿ† Acknowledgments

  • Built with Typer for CLI
  • Styled with Rich for terminal output
  • Validated with Pydantic for data models

Planfile - Your strategic partner in SDLC automation. ๐Ÿš€

License

Apache License 2.0 - see LICENSE for details.

Author

Created by Tom Sapletta - tom@sapletta.com

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