Rajab Ali@rajabalidildar

AutoTest Agent is an AI-powered developer tool that takes a module of code and its intended use case (as text), then automatically generates and runs unit/integration tests. It leverages the multi-agent, deep-context, and LLM capabilities of Trae AI IDE to accelerate the testing process, ensuring better code coverage and developer productivity. ✅ Problem Statement: Many developers skip writing unit tests due to time constraints or lack of expertise. This leads to: Bugs in production Poor code quality Difficult code reviews and refactoring 💡 Solution: We provide a tool that: Accepts code modules (Python) Accepts a requirement/use-case description Uses AI agents to: Analyze the code Understand the use case Generate unit test cases Optionally run tests and show results 🔧 Key Features: 📥 Code Upload/Input – Users can upload or paste their Python code module 🗒️ Use Case Input – Short description of the intended functionality 🤖 AI Test Generator – AI agent generates test cases using pytest or unittest ▶️ Test Runner – (Optional) Run tests and return pass/fail results 💬 Feedback Loop – Users can edit/refine tests or regenerate 🧰 Technology Stack: Language – Python Test Framework – pytest or unittest AI Models – GPT-4o, Claude 3.5, Gemini 2.5 via Trae UI (optional) – Streamlit / CLI Version Control – GitHub 🤖 How Trae AI IDE is Used: Built custom AI agents using editable prompt templates Agents deeply understand code modules using context-aware capabilities Generated test cases with LLM support from Trae (GPT-4o, Claude) Leveraged Trae's real-time preview and one-click execution for faster iterations

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