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https://seaquel.app/

It's the SQL client I've always wished I had. It's a desktop app, but I made it work in the browser too thanks to DuckDB Wasm.

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Every vibe coded website always has the same vibe

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You don't need a vendor-locked solution for AI agents to work in their own isolated environments :-).

- https://sprites.dev - https://mise.jdx.dev - https://fnox.jdx.dev

Develop a small API that accepts a prompt, starts a sprite sandbox, and then you wait for the AI agent to open a pull request.

I developed that in less than a week and now my client owns the code, can customize it to their needs, and if they want to use a different compute environment, they can with minimal code changes needed.

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And now there's a skill to do just that.

https://cloudrouter.dev/

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https://seaquel.app

Month 2 of building the SQL client I've always wished I had.

One feature I'm especially proud of is the visual query builder. Drag & drop to build SQL queries.

There's also an entire SQL tutorial section for anyone who wants to learn or refresh SQL knowledge.


Looks great, going to download and try it. Thanks!


I built something similar after reading the blog post, based on sprites.dev.

A day of work to get the prototype working and a few hours the next day to allow multiple users to authenticate.

It's surprisingly simple.


After reading the article, I built a tool like that with sprites.dev. There's a websocket to communicate stdout and stderr to the client.

Web app submits the prompt, a sandbox starts on sprites.dev and any Claude output in the sandbox gets piped to the web app for display.

Not sure I can open source it as it's something I built for a client, but ask if you have any questions.


I'm sure everyone has their own tolerance for what is and isn't maintainable :). For me, not knowing what code exists, where it is, how it fits together, and stuffing it all in one main file feels like a recipe for trouble down the road. Sure, I could probably tell the LLM to split the main file into modules and ask it to refactor code etc.

However, from personal experience I'm a lot more efficient when I use LLMs to help with tedious, boilerplate-like code writing but I remain in control over structuring the project so it's maintainable by more than machines only.

I use LLMs every day to write tests for example, it's a massive time saving and I wouldn't want to write tests manually ever again.


I just watched a video https://www.youtube.com/watch?v=eIoohUmYpGI which I think summarize your points here, recommend it to you as well.


Hey, I did not. As mcbetz mentioned, I tried vibe-coding and anything you see is generated by LLMs. He linked to my blog post where I summarized the journey.

ZenQuery looks nice, I like the focus on supporting regular files.


No worries.. even if it were copied, it would have made me feel proud. Nevertheless, I saw it now that's its actually fully vibe-coded... so, high chance my product's webpage was part of it's training data..

I did download your product ans using it for postgres. Was using dbeaver earlier, but, it's tooooo messy in it's UI.

Thanks..


Yeah, I've noticed similar things with my projects. Hard to avoid these days I think.

Awesome, thanks for being an early adopter!

I got some great feedback already, so I'll continue building it out.

Roadmap: - Release binaries for Intel Mac, Linux, Windows - Add / test support for more database engines - Wrap up the LLM integration

Holidays are coming up, it may be a productive time haha


Awesome... for databases containing large number of tables, you can pre-process the tables and generate embeddings for each. Then, when user asks a question in plain english, filter relevant tables using in-built vector search and pass metedata of these only as context to LLM.

Happy Holidays..


A database desktop client, built with Tauri & SvelteKit.

"But there are many already!" I hear the crowd exclaim.

I respond, "Yes, but..."

It's really something I want for myself. Lightweight, as fast as humanly possible, extensible via plugins (in fact the entire app is mostly plugins, with a small core to glue it together), and a tiny bit of LLM (call it AI if you wish) integration to ask questions about the database or generate/review queries.


I recently discovered Tauri. What was the development experience like? Is the project open source? I'd like to take a look :D


It was frictionless to get everything up and running.

Communication between the frontend and backend is via an `invoke` method, easy as pie :).

It's not open source, but once I get the Apple developer stuff all done, I'll add an auto-update feature and open source it.


There we go, all set up!

https://github.com/WebstoneHQ/seaquel


That's how I feel about most visual database clients I've used over the years...

It's something I hear from many others too, hence my interest in trying to build an incredibly fast and lightweight product.


Thanks for your insights. What made you stop working on it?

The insomnia creator also has a Tauri http client now called Yaak(.app). A huge inspiration to work on my database client.


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