How to Use Melty AI to Get Repo-Aware Code Completions in Your Editor
Here is how to put Melty to work in your daily coding routine.
Step 1: Install Melty in your editor. Follow the setup guide at Melty to install the plugin for your preferred editor. Melty reads your repository to build full project context.
Step 2: Let it understand your codebase. Once connected, Melty indexes your project. It learns your naming conventions and patterns from your own commits and files, so suggestions feel natural.
Step 3: Use repo-aware autocomplete. As you type, Melty offers completions that align with your existing code. Because it knows the whole project, it can suggest the right function names, imports, and structures.
Step 4: Generate boilerplate and refactor across files. Ask Melty to generate repetitive code or refactor a module. It applies changes across multiple files consistently, which is a huge time-saver on larger projects.
Step 5: Learn from its suggestions. Review Melty’s output, accept what fits, and correct what does not. Over time it becomes even more aligned with how you work, boosting both speed and code quality.
Melty turns your editor into a smarter companion. For developers working in large codebases, Melty reduces boilerplate, speeds up refactors, and keeps suggestions contextually relevant.
Based on trending topics
