Software Development
I dream of roombas - thousands of automated AI robots that autonomously maintain codebases
Just yesterday morning, I was writing a conference talk on best practices for maintaining the LLM context window, which was quite detailed. It contained the then best practices from the two blog posts below. autoregressive queens of failureHave you ever had your AI coding assistant suggest something so off-base that
LLMs are mirrors of operator skill
This is a follow-up from my previous blog post: "deliberate intentional practice". I didn't want to get into the distinction between skilled and unskilled because people take offence to it, but AI is a matter of skill. Someone can be highly experienced as a software engineer
deliberate intentional practice
Something I've been wondering about for a really long time is, essentially, why do people say AI doesn't work for them? What do they mean when they say that? From which identity are they coming from? Are they coming from the perspective of an engineer with
from Luddites to AI: the Overton Window of disruption
I've been thinking about Overton Windows lately, but not of the political variety. You see, the Overton window can be adapted to model disruptive innovation by framing the acceptance of novel technologies, business models, or ideas within a market or society. So I've been pondering about
rizzler: stop crying over Git merge conflicts and let AI handle the drama
💀 Ugh, merge conflicts: That sinking feeling when Git screams at you? We've all been there. Manually fixing those tangled messes? It's giving... tedious. It's giving... waste of my precious time. 😩 🚀 Enter rizzler: Your new AI bestie that actually *gets* Git. This ain't
autoregressive queens of failure
Have you ever had your AI coding assistant suggest something so off-base that you wonder if it’s trolling you? Welcome to the world of autoregressive failure. LLMs, the brains behind these assistants, are great at predicting the next word—or line of code—based on what's been
I dream about AI subagents; they whisper to me while I'm asleep
In a previous post, I shared about "real context window" sizes and "advertised context window sizes" Claude 3.7’s advertised context window is 200k, but I've noticed that the quality of output clips at the 147k-152k mark. Regardless of which agent is used,
if you are redlining the LLM, you aren't headlining
It’s an old joke in the DJ community about upcoming artists having a bad reputation for pushing the audio signal into the red. Red is bad because it results in the audio signal being clipped and the mix sounding muddy. It’s a good analogy that applies to software
A Model Context Protocol Server (MCP) for Microsoft Paint
Why did I do this? I have no idea, honest, but it now exists. It has been over 10 years since I last had to use the Win32 API, and part of me was slightly curious about how the Win32 interop works with Rust. Anywhoooo, below you'll find
From Design doc to code: the Groundhog AI coding assistant (and new Cursor vibecoding meta)
Ello everyone, in the "Yes, Claude Code can decompile itself. Here's the source code" blog post, I teased about a new meta when using Cursor. This post is a follow-up to the post below. You are using Cursor AI incorrectly...I’m hesitant to give this
Can a LLM convert C, to ASM to specs and then to a working Z/80 Speccy tape? Yes.
✨Daniel Joyce used the techniques described in this post to port ls to rust via an objdump. You can see the code here: https://github.com/DanielJoyce/ls-rs. Keen, to see more examples - get in contact if you ship something! Damien Guard nerd sniped me and other folks wanted
Yes, Claude Code can decompile itself. Here's the source code.
These LLMs are shockingly good at deobfuscation, transpilation and structure to structure conversions. I discovered this back around Christmas where I asked an LLM to make me an Haskell audio library by transpiling a rust implementation. An “oh fuck” moment in timeOver the Christmas break I’ve been critically looking