A Python Project Template to Accelerate AI-Driven Development

The template introduced in this article is a comprehensive solution that integrates an efficient development environment setup with AI automation for Python development. It features high-speed dependency management, integrated quality control tools, and an automated workflow using GitHub Actions and AI, making it ideal for developers aiming to balance development speed and code quality.

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Why Choose This Template?

In modern Python development, more and more time is often spent on setup and quality control. This template solves these challenges with the following key points.

• Powerful Code Quality Management Automatically performs type checking, linting, and formatting to prevent errors and style inconsistencies before they happen.

• Fast and Smart Dependency Management The next-generation tool uv completes everything from dependency resolution to installation quickly and safely.

• Robust Testing Foundation Comes standard with pytest and code coverage, balancing ease of testing with reliability.

• AI-Driven Development Automation Utilizes GitHub Actions and the Gemini CLI to provide AI assistance for code reviews, documentation generation, and issue management.

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Key Tools and How to Use Them

1. uv — The Ace of Next-Generation Python Dependency Management

uv is an ultra-fast Python package manager. It instantly resolves dependencies based on pyproject.toml, significantly streamlining development environment setup.

# Create and activate a virtual environment
uv venv
source .venv/bin/activate

# Sync dependencies
uv sync

2. pytest — Balancing Ease of Testing and Reliability

Place your test code under tests/ and run them all at once with uv run pytest. It also supports code coverage measurement to prevent gaps in testing.

uv run pytest --cov=your_package

3. mypy — Catch Bugs Early with Static Type Checking

Strict type-checking rules are pre-configured. Proper use of type annotations improves code reliability and readability.

uv run mypy . --config-file mypy.toml

4. ruff — The Blazingly Fast Linter & Formatter

ruff performs style checks and auto-formatting at incredible speeds. It also integrates settings for isort and pylint to maintain a consistent style.

# Lint check
uv run ruff check .

# Auto-format
uv run ruff format .

5. pre-commit — The Pre-Commit Quality Gate

Automatically runs code checks during git commit to prevent low-quality code from being introduced, stabilizing the development cycle.

pre-commit install

Supercharge Your Workflow with AI-Powered GitHub Actions

The most significant feature of this template is its combination of advanced automation through GitHub Actions with AI. It integrates with the AI capabilities of the Gemini CLI to automate and enhance the following processes.

• CI/CD Pipeline (ci.yml) Automates everything from dependency installation to type checking and testing, strengthening the quality gate.

• AI Document Auto-Generation (document-creator.yml) Analyzes source code and documents to automatically update descriptions and change histories.

• Interactive AI Assistant (gemini-assistant.yml) Allows you to instruct the AI via GitHub comments. You can interactively request code suggestions or reviews.

• Automated Code Quality Issue Creation (issue-creator.yml) Automatically creates an issue when a problem is detected, preventing it from being overlooked.

• Smart Issue Triage (issue-triage-automated.yml) Automates issue labeling and prioritization with AI to support rapid responses.

• AI-Driven PR Review (pr-review.yml) The AI evaluates code quality, maintainability, and security, and provides concrete suggestions for improvement.

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Project Structure Example and Guidelines

The file structure is simple and logical. Detailed development rules and coding conventions are defined in GEMINI.md to support consistent team operations.

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Conclusion: AI-Driven Python Development

This template merges the latest Python tools with AI automation to significantly boost developer productivity and code quality. It's more than just a boilerplate; it provides an environment that streamlines daily development tasks and enables the rapid delivery of reliable software.

Experience a smarter, faster development process with advanced workflows powered by AI, including automated testing, code reviews, documentation generation, and issue management.