Melty

Melty is an open-source AI code editor designed to function as a genuine pair programmer that observes your development workflow, understands your entire codebase, and collaborates on changes with awareness of your compiler output, terminal activity, and debugging context. Unlike simpler AI coding assistants that only see the current file, Melty integrates with your full development toolchain. What sets Melty apart from other AI editors is its deep integration with the tools developers already use. Melty connects to your compiler, terminal, and debugger, using their output as context for understanding what you are working on and what problems you are facing. If your build fails, Melty can see the error messages and help you fix them with full context. If a test is failing, it understands the test output alongside the source code. This toolchain awareness means Melty's suggestions are grounded in the actual state of your project, not just the text in your editor. The tool also integrates with git history, understanding your recent commits and changes to provide suggestions that are consistent with the direction your code is evolving. Melty supports multi-file editing and refactoring, which is essential for real-world development tasks that rarely involve just a single file. When it proposes changes, it presents them as diffs that you can review before applying, maintaining developer control over what gets modified. The editor aims to be a collaborator rather than an autocomplete engine -- it can discuss architectural decisions, suggest approaches to problems, and help plan larger refactoring efforts. Melty is best suited for experienced developers who want an AI assistant that goes beyond surface-level code completion to understand the deeper context of their development work. It appeals to developers who value open-source tools and want to contribute to or customize their editor. As an early-stage open-source project, Melty is still under active development, which means some features may be rough around the edges and breaking changes can occur. The project is free to use, with the primary costs being any API keys needed for the underlying language models. Developers should be prepared for some initial setup and configuration effort, as the toolchain integrations require more setup than a typical editor extension.