If you want an AI copilot to help you with coding and learn from your own workflow, GitHub Copilot is a top contender. It offers context-aware help at every stage of development, including code completion, natural language prompts to code suggestions, and chat help to ask questions about codebases. It works with multiple IDEs and plugs into many tools, so it's adaptable to your workflow.
Another strong contender is Codeium, which supports more than 70 programming languages and works with major IDEs. It offers sophisticated code completion, AI-powered search and an AI chat interface for writing boilerplate code, refactoring and suggesting bug fixes. Codeium is designed to help individuals and teams work more efficiently, with a pricing plan that includes a free tier for unlimited autocomplete and chat help.
Tabnine is another option. The tool offers personalized AI code completions based on your own coding patterns and works with many programming languages and IDEs, including VS Code and IntelliJ. It keeps your code private and private, so you can customize it with your own codebase and it offers enterprise-level security options. Tabnine's free plan and Pro plan means it's available to individuals and large teams.
If you want something more built-in, Pieces combines an on-device AI copilot with integrations with top development tools like Visual Studio Code and Microsoft Teams. It can automatically annotate code snippets and screenshots with local or cloud-based AI models. Pieces offers a free version so you can try it out without paying a penny, and it's a good way to get a taste of how an AI copilot can speed up your work.