Simon Willison’s Weblog

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47 items tagged “ai-assisted-programming”

Using AI tools such as Large Language Models to help write code.

2024

Wrap text at specified width. New Observable notebook. I built this with the help of Claude 3 Opus—it’s a text wrapping tool which lets you set the width and also lets you optionally add a four space indent.

The four space indent is handy for posting on forums such as Hacker News that treat a four space indent as a code block.

# 28th March 2024, 3:36 am / projects, observable, claude, ai-assisted-programming, tools

llm cmd undo last git commit—a new plugin for LLM

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I just released a neat new plugin for my LLM command-line tool: llm-cmd. It lets you run a command to to generate a further terminal command, review and edit that command, then hit <enter> to execute it or <ctrl-c> to cancel.

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Building and testing C extensions for SQLite with ChatGPT Code Interpreter

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I wrote yesterday about how I used Claude and ChatGPT Code Interpreter for simple ad-hoc side quests—in that case, for converting a shapefile to GeoJSON and merging it into a single polygon.

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Claude and ChatGPT for ad-hoc sidequests

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Here is a short, illustrative example of one of the ways in which I use Claude and ChatGPT on a daily basis.

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2023

How I make annotated presentations

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Giving a talk is a lot of work. I go by a rule of thumb I learned from Damian Conway: a minimum of ten hours of preparation for every one hour spent on stage.

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download-esm: a tool for downloading ECMAScript modules

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I’ve built a new CLI tool, download-esm, which takes the name of an npm package and will attempt to download the ECMAScript module version of that package, plus all of its dependencies, directly from the jsDelivr CDN—and then rewrite all of the import statements to point to those local copies.

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What’s in the RedPajama-Data-1T LLM training set

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RedPajama is “a project to create leading open-source models, starts by reproducing LLaMA training dataset of over 1.2 trillion tokens”. It’s a collaboration between Together, Ontocord.ai, ETH DS3Lab, Stanford CRFM, Hazy Research, and MILA Québec AI Institute.

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sqlite-history: tracking changes to SQLite tables using triggers (also weeknotes)

Visit sqlite-history: tracking changes to SQLite tables using triggers (also weeknotes)

In between blogging about ChatGPT rhetoric, micro-benchmarking with ChatGPT Code Interpreter and Why prompt injection is an even bigger problem now I managed to ship the beginnings of a new project: sqlite-history.

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Running Python micro-benchmarks using the ChatGPT Code Interpreter alpha

Visit Running Python micro-benchmarks using the ChatGPT Code Interpreter alpha

Today I wanted to understand the performance difference between two Python implementations of a mechanism to detect changes to a SQLite database schema. I rendered the difference between the two as this chart:

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The Changelog podcast: LLMs break the internet

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I’m the guest on the latest episode of The Changelog podcast: LLMs break the internet. It’s a follow-up to the episode we recorded six months ago about Stable Diffusion.

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[On AI-assisted programming] I feel like I got a small army of competent hackers to both do my bidding and to teach me as I go. It's just pure delight and magic.

It's riding a bike downhill and playing with legos and having a great coach and finishing a project all at once.

Matt Bateman

# 5th April 2023, 11:50 pm / productivity, llms, ai, generative-ai, ai-assisted-programming

image-to-jpeg (via) I built a little JavaScript app that accepts an image, then displays that image as a JPEG with a slider to control the quality setting, plus a copy and paste textarea to copy out that image with a data-uri. I didn’t actually write a single line of code for this: I got ChatGPT/GPT-4 to generate the entire thing with some prompts (transcript in the via link).

# 5th April 2023, 10:10 pm / projects, chatgpt, ai-assisted-programming

AI-enhanced development makes me more ambitious with my projects

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The thing I’m most excited about in our weird new AI-enhanced reality is the way it allows me to be more ambitious with my projects.

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I built a ChatGPT plugin to answer questions about data hosted in Datasette

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Yesterday OpenAI announced support for ChatGPT plugins. It’s now possible to teach ChatGPT how to make calls out to external APIs and use the responses to help generate further answers in the current conversation.

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2022

Over-engineering Secret Santa with Python cryptography and Datasette

We’re doing a family Secret Santa this year, and we needed a way to randomly assign people to each other without anyone knowing who was assigned to who.

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AI assisted learning: Learning Rust with ChatGPT, Copilot and Advent of Code

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I’m using this year’s Advent of Code to learn Rust—with the assistance of GitHub Copilot and OpenAI’s new ChatGPT.

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Using GPT-3 to explain how code works

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One of my favourite uses for the GPT-3 AI language model is generating explanations of how code works. It’s shockingly effective at this: its training set clearly include a vast amount of source code.

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