How to Use Melty AI to Get Repo-Aware Code Completions in Your Editor
Learn how to use Melty AI for repo-aware code completion, multi-file refactoring, and a code assistant that learns your coding style.
Melty is an AI code assistant designed for developers who want suggestions that actually match their codebase. By reading your whole repository, it understands naming conventions, patterns, and project architecture. In your editor, it offers accurate autocomplete, generates boilerplate, and refactors code across multiple files with confidence.
Unlike generic autocomplete tools, Melty focuses on repo-wide awareness. It learns from your own commits and style, so suggestions feel natural rather than generic. The assistant is built for speed, low latency, and deep editor integration, making it a practical companion for daily coding and large refactors.
Product Features
- Repo-wide context understands your whole codebase, not just the open file.
- Accurate multi-file autocomplete and code generation.
- Refactoring support that applies changes across several files.
- Learns your editing style from your own commits.
- Low-latency responses tuned for a smooth editing experience.
- Deep integration with popular code editors.
Product Highlights
- Whole-repository context for smarter suggestions.
- Learns and adapts to your personal coding style.
- Fast, low-latency completions for daily use.
Use Cases
- A developer autocompletes boilerplate across a large monorepo.
- A team refactors a shared module that touches many files.
- A freelancer generates idiomatic code matching an existing codebase.
- A student learns better patterns with context-aware suggestions.
- A maintainer speeds up code review with consistent generated changes.
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