If you write SQL every day, you probably have a love-hate relationship with your editor. I know I did. After four years as a Data Engineer, I've spent more time inside SQL clients than I'd care to admit. And for most of that time, I put up with tools that were either too bloated, too slow, or just not built for the way I actually work.

So I decided to build my own. That project became SequAI -- a native SQL editor built with Tauri, React, and Rust. Here's the story of why and how it came together.

The Frustration That Started It All

My daily workflow involves jumping between MySQL, PostgreSQL, and occasionally other databases depending on the project. Most SQL clients handle one database engine well and treat the rest as an afterthought. The ones that do support multiple backends tend to be heavy Java applications that take forever to load and eat through your RAM like it's nothing.

Then there are the web-based tools. They're getting better, but there's always that slight lag, the missing keyboard shortcut, or the moment your browser tab crashes and takes your unsaved query with it. I wanted something that felt native. Something that launched instantly, stayed out of my way, and let me connect to whatever database I needed without installing a different client for each one.

I looked around. Nothing quite fit. So I opened a new project and started building.

Why Tauri and Rust Over Electron

The first big decision was the framework. Electron is the obvious choice for desktop apps these days, and for good reason -- it's mature, well-documented, and has a massive ecosystem. But I had reservations. Every Electron app ships an entire Chromium browser, which means your "lightweight" text editor suddenly needs 200MB of disk space and a few hundred megabytes of RAM just to sit there.

Tauri was the alternative I'd been keeping an eye on. It uses the system's native webview instead of bundling Chromium, which means dramatically smaller binaries and lower memory usage. The backend is written in Rust, which gave me the performance and safety guarantees I wanted for handling database connections and query execution.

Was there a learning curve with Rust? Absolutely. The borrow checker humbled me more than once. But the tradeoff was worth it. SequAI's binary is a fraction of the size of a comparable Electron app, and it launches almost instantly. That's the kind of difference you feel every time you open it.

Building It Out

The frontend is React, which I was already comfortable with. I kept the UI intentionally minimal. A query editor, a results pane, a connection sidebar. No dashboards, no ER diagram generators, no features I'd use once and forget about. Just the things I reach for dozens of times a day.

Syntax highlighting was one of the first things I implemented. It sounds basic, but a good SQL editor lives or dies by how well it handles syntax. I wanted highlighting that was fast, accurate, and worked consistently across different SQL dialects. Getting that right took more iteration than I expected.

Multi-database support was the other non-negotiable. I needed to connect to MySQL and PostgreSQL at a minimum, with the architecture flexible enough to add more backends later. Rust's type system actually helped here -- it pushed me toward clean abstractions for the database layer early on, which made adding new connectors much less painful.

Query execution had to feel responsive. No spinning wheels, no ambiguous loading states. You hit run, you see results. If something fails, you get a clear error. Simple in concept, but getting the async communication between the React frontend and Rust backend smooth took some careful work with Tauri's IPC system.

What SequAI Looks Like Today

Right now, SequAI is a focused, lightweight desktop SQL editor. You can connect to MySQL and PostgreSQL databases, write queries with proper syntax highlighting, execute them, and view results in a clean table view. It's fast to launch, doesn't hog memory, and does exactly what I need it to do.

It's not trying to be a full database administration suite. There are excellent tools for that already. SequAI is for the person who just wants to write and run SQL queries without the overhead. The kind of tool that feels like an extension of your thought process rather than something you have to fight against.

The project is open source. You can find it on GitHub if you want to take a look, try it out, or contribute.

What's Next

There's a long list of things I want to add. Better autocomplete is near the top -- not just keyword suggestions, but context-aware completions that understand your schema. I'm also looking at adding support for more database engines, starting with SQLite and potentially Oracle.

Query history and saved snippets are another area I want to improve. Right now the basics are there, but I want something smarter -- the ability to search through past queries, tag them, maybe even get suggestions based on what you've run before.

And then there's the AI angle that the name hints at. I've been experimenting with integrating AI-assisted query generation and optimization. Nothing that takes over or gets in the way, but a thoughtful layer that can help when you're stuck on a complex join or want to know if there's a more efficient way to write something.

Building SequAI has been one of the more rewarding side projects I've taken on. It scratches my own itch, it taught me Rust, and it gave me a tool I actually use every day. Sometimes the best motivation is just being annoyed enough by the status quo to do something about it.