TDD-GPT-Agent is a command-line tool that automates TDD by generating test cases, writing code implementations, and executing tests using GPT-4 or GPT-3.5. It analyzes failures, refines code, and iterates until tests pass, supporting Python projects. Users can configure prompts, track progress, and integrate with CI workflows to accelerate reliable code production and enhance test coverage.
AI Platforms & Frameworks
Coding Assistance
Software Testing
#Automated testing
#TDD automation
#Python testing
#AI Development Tools
#GPT-4 integration
#test code generation
#ci/cd integration
#test-driven development
#code quality assurance
#pytest automation
#failure analysis
#YAML configuration
#git integration
#continuous testing
#software reliability
#Developer Productivity
#custom workflows
#session logging
#test coverage
#AI code assistance
...
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TDD-GPT-Agent
TDD-GPT-Agent is a command-line tool that automates TDD by generating test cases, writing code implementations, and executing tests using GPT-4 or GPT-3.5. It analyzes failures, refines code, and iterates until tests pass, supporting Python projects. Users can configure prompts, track progress, and integrate with CI workflows to accelerate reliable code production and enhance test coverage.
AI Platforms & Frameworks
Coding Assistance
Software Testing
#Automated testing
#TDD automation
#Python testing
#AI Development Tools
#GPT-4 integration
#test code generation
#ci/cd integration
#test-driven development
#code quality assurance
#pytest automation
#failure analysis
#YAML configuration
#git integration
#continuous testing
#software reliability
#Developer Productivity
#custom workflows
#session logging
#test coverage
#AI code assistance
...
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What is TDD-GPT-Agent?
TDD-GPT-Agent integrates OpenAI’s GPT-4 or GPT-3.5 models in a Python-based CLI to drive a fully automated test-driven development cycle. Given a developer’s function specification, it generates pytest test files, runs tests locally, analyzes failures, and produces implementation code to satisfy assertions. It repeats the cycle until all tests pass. Configurable via a YAML file, the agent supports prompt customization, session logging, Git integration, and can be embedded in CI/CD pipelines for continuous quality assurance. This AI-driven workflow accelerates development, improves coverage, and enforces reliable code.
Who will use TDD-GPT-Agent?
- Software developers
- QA engineers
- DevOps engineers
- Python developers
- AI researchers
How to use the TDD-GPT-Agent?
- Step1: Install via pip: pip install tdd-gpt-agent
- Step2: Initialize a project directory: tdd-gpt-agent init --dir ./myproject
- Step3: Set your OpenAI API key in OPENAI_API_KEY or config.yaml
- Step4: Customize prompts and model settings in config.yaml
- Step5: Define function specifications or interfaces
- Step6: Run the agent: tdd-gpt-agent run
- Step7: Review generated tests and implementation code
- Step8: Iterate until all tests pass
- Step9: Add tdd-gpt-agent run to your CI pipeline
Platform
- mac
- windows
- linux
TDD-GPT-Agent's Core Features & Benefits
The Core Features
- Automated test generation with GPT-4/3.5
- Implementation code generation
- Test execution and failure analysis
- Configurable prompt templates
- YAML-based configuration
- Session history logging
- Git integration
- CI/CD pipeline support
The Benefits
- Accelerates development cycles
- Improves test coverage
- Reduces manual boilerplate
- Enhances code reliability
- Simplifies TDD adoption
- Customizable workflows
- Seamless project integration
TDD-GPT-Agent's Main Use Cases & Applications
- Rapid prototyping of Python functions
- Automated TDD for new feature development
- Continuous test automation in CI pipelines
- Code quality assurance and regression testing
- AI-assisted test and code generation for teams
FAQs of TDD-GPT-Agent
TDD-GPT-Agent Company Information
- Rajiv Poddar
TDD-GPT-Agent Reviews
5/5
TDD-GPT-Agent's Main Competitors and alternatives?
- GitHub Copilot
- Codium AI
- TestRigor
- DeepCode
- Codex TDD plugins
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