Rando M.

LyteNyte Grid treats dynamic columns as data first, not scattered component logic. Column configs can be generated from schemas, user prefs, permissions, or saved views, then passed into the grid declaratively. The AI agent can help produce or modify that config, but TypeScript still validates the shape before it lands in the app. So the messy part becomes a typed config layer instead of hidden grid state. That’s where LyteNyte’s stateless design helps a lot.

@Rando_4_Real stateless design making it easier for agents to reason about is interesting how are you handling dynamic column configs then, since that's usually where things get messy?

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Great question. The grid itself stays client-side in the React app. The AI Skills feature gives AI agents context docs so they can help devs wire things up faster without guessing. It’s not training models or sending grid data for model training. LyteNyte Grid works uniquely well with AI when compared to other data grid libraries, primarily due to its stateless design. Our clean declarative API is perfect for AI agents, since they can now statically verify the output using TypeScript. As a result, you get no hallucinations and significantly faster shipping cycles. 1771technologies.com/docs/ai-skills…

@Rando_4_Real this looks super clean. are you handling the AI-assisted code generation entirely client-side, or is there a backend agent parsing the schema?

@souvik_1210 That's amazing Souvik! Would really love to hear any feedback you may have. Drop us a star on GitHub when you can, your support means a lot to us github.com/1771-Technolog…!

@Rando_4_Real Hey! Thanks for reaching out. LyteNyte Grid looks super impressive - especially the performance with millions of rows and that AI Skills feature. Will definitely check it out for my next React project. Let’s stay in touch!

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What are you building?

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