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Re: by roarlyte on Thursday April 30, 2026 @04:49PM (#47968033)
Hi Folks,

If you’ve ever tried to save time by using AI to wire up your data grid, you’ve likely run into challenges when things got complex. The reason is that grid libraries often come with opinionated interfaces, imperative APIs, and layers of mapping code that AI agents tend to struggle with.

LyteNyte Grid 2.1 is our first step toward solving that.

v2.1 ships AI Skills, giving your AI agent curated knowledge of LyteNyte Grid, so it can generate advanced grid implementations more accurately and consistently.

Instead of wiring the grid manually, just describe the result and let your agent handle the rest. The idea is not “AI magically builds your app.” Cause it won’t. But with Skills, you can go from idea to a production-ready data grid in minutes.

LyteNyte Grid works particularly well with Skills, thanks to its stateless architecture, making it exceptionally effective for AI applications.

 AI understands React, and LyteNyte Grid is built in React for React (no wrappers).  Our grid is declarative and fully prop-driven, so AI agents don’t need mapping or translation code.  It uses familiar React patterns, so simpler prompts yield more accurate results.  Accessibility is built directly into the grid, so no hallucinating custom screen-reader properties.

Skills work with any coding agent that supports the Vercel Skills CLI, and is available for both Core (open-source) and Pro users.

Install with: `npx skills add 1771-Technologies/lytenyte`

In v2.1, we have also moved clipboard support and cell range selection into our free, open-source Core package. This shift aligns with our vision of being the most feature-rich open-source React data grid.

v.2.1 brings more PRO features as well:  Expression Input Component.  Expression Engine.  Advanced Expression Filter.  Expression Plugins for custom functions.

We have been at this for 2 years now, and all our code is publicly available on GitHub. If you find this helpful and like what we’re building, GitHub stars help. Feature suggestions and code contributions are always welcome.

https://github.com/1771-Technologies/lytenyte

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