Love the focus on codebase-aware AI and inline editing—those are real pain points for modern dev teams. The privacy-first approach and self-hosting option are a huge plus too, especially for orgs that are cautious about code security.
Curious how KAEditor handles large monorepos or complex dependency graphs. Does the assistant scale well in those cases? Also, would love to hear more about how it compares to existing tools like Cursor or GitHub Copilot in terms of accuracy and latency.
* Monorepo & Dependency Handling: KAEditor was specifically architected with large codebases and monorepos in mind. We maintain a persistent, structured index of your entire project (including multiple packages, cross-repo dependencies, and shared libraries), which our AI assistant uses to provide contextually accurate suggestions and answers. That means the assistant can understand deep dependency graphs and trace logic across packages—something many AI tools still struggle with.
* Accuracy & Latency: Compared to Cursor and GitHub Copilot, KAEditor consistently offers:
- Higher context relevance due to whole-project awareness (not limited to just open tabs or a small sliding window).
- More deterministic outputs for complex tasks like test generation, architectural questions, or multi-file edits.
- Low-latency performance thanks to optimized local context caching and background prefetching. In most workflows, responses are near-instant—no lag when jumping between files or asking about different components.
* Bonus: You can even configure how much of your codebase to load into the assistant’s memory—so it scales gracefully whether you’re working in a 10-file repo or a massive monorepo.
We’ve benchmarked internally and found KAEditor handles large-scale production code significantly more smoothly than most alternatives, especially when it comes to multi-file reasoning and latency under load.
* Full-project context by default – KAEditor deeply indexes your entire codebase (not just open files), so AI suggestions are more accurate across large, complex projects.
* Inline AI editing – We offer seamless AI-powered refactors, test generation, and documentation right inside the editor, without jumping to side panels or needing prompts.
* Integrated AI chat that understands your whole project – Ask about any function, class, or architecture decision, and get instant, context-aware answers.
* Privacy-first by design – We offer self-hosted deployments and strict data isolation, ideal for enterprises and privacy-conscious teams.
* Transparent, affordable pricing – KAEditor is about 50% cheaper than Cursor, with flexible plans and no usage-based surprises.
In short: We’re focused on production teams who want a secure, fully integrated AI coding experience -not just a Copilot plugin.
mukeshyadavnitt•7mo ago
KAEditor combines the power of a modern IDE with a codebase-aware AI assistant, giving you smarter suggestions, seamless inline editing, and an integrated AI chat—all while keeping your code private and secure. Refactor entire projects, generate tests and documentation, and get instant answers about your codebase, all in one place.
Why KAEditor?
* Full-project codebase awareness for smarter, context-driven assistance
* Inline AI editing for seamless refactoring, test generation, and documentation
* Integrated AI chat for instant help and code explanations
* Privacy-first options, including self-hosting
* Affordable pricing for individuals and teams
Ready to supercharge your development workflow? Try KAEditor today and experience the future of coding!
rituraj_rhealth•7mo ago
mukeshyadavnitt•6mo ago