GitHub Copilot · Your AI pair programmer

GitHub Copilot works alongside you directly in your editor, suggesting whole lines or entire functions for you.

This was the first AI tool I really used in my IDE. It was great, it still is great, but I feel it is the slowest to adapt to developer feedback.

Best AI developer tools

AI developer tools are essential software, frameworks, and platforms designed to help developers build, test, and deploy artificial intelligence and machine learning applications efficiently. These tools range from model training and inference engines to data labeling, MLOps, and AI-powered code assistants. Why AI Developer Tools Are Useful: Accelerate Development – Automate repetitive tasks, such as data preprocessing, model training, and hyperparameter tuning. Enhance Productivity – AI-powered code assistants and debugging tools help developers write and optimize code faster. Improve Model Performance – Advanced frameworks and cloud-based solutions streamline model deployment and scaling. Simplify MLOps – Integrated tools help manage datasets, version control, and model monitoring in production. Reduce Costs – Pre-built models and efficient computation reduce the time and resources needed for AI development. Whether you're a researcher, data scientist, or software engineer, AI developer tools make it easier to build intelligent applications at scale.