GitHub - LalitMaganti/syntaqlite: A parser, formatter, validator, and language server for SQLite SQL. Built on SQLite's own grammar and tokenizer

ML Engineer and PhD

61 posts tagged ‘tools’. Small tools I have built, many of which are hosted on my tools.simonwillison.net GitHub Pages site backed by my simonw/tools repository.

50 posts tagged ‘agentic-engineering’. Using coding agents for professional software development. I've written a lot more about this under my broader tag ai-assisted-programming.

381 posts tagged ‘ai-assisted-programming’. Using AI tools such as Large Language Models to help write code. Vibe coding is the less responsible subset of this. See Here’s how I use LLMs to help me write…

For eight years, I’ve wanted a high-quality set of devtools for working with SQLite. Given how important SQLite is to the industry1, I’ve long been puzzled that no one has invested in building a really good developer experience for it2. A couple of weeks ago, after ~250 hours of effort over three months3 on evenings, weekends, and vacation days, I finally released syntaqlite (GitHub), fulfilling this long-held wish. And I believe the main reason this happened was because of AI coding agents4. Of course, there’s no shortage of posts claiming that AI one-shot their project or pushing back and declaring that AI is all slop. I’m going to take a very different approach and, instead, systematically break down my experience building syntaqlite with AI, both where it helped and where it was detrimental. I’ll do this while contextualizing the project and my background so you can independently assess how generalizable this experience was. And whenever I make a claim, I’ll try to back it up with evidence from my project journal, coding transcripts, or commit history5.