30 posts shown
A sandbox that teaches swamp, managed by swamp
A candid account of navigating the swamp extension ecosystem, from forking a libvirt plugin to stalled PRs. Why the path of least resistance keeps winning over collaboration.
Results of my first day in the swamp
AI sucks at following instructions. It tries, but ultimately, it lets you down. Like a hyped up kid on too much addy with 17 different distractions, lets just say it tends to drift a little from your
Killing n8n: Migrating 11 Automation Flows to Swamp in One Day - killing-n8n.md
Curating my media library with swamp instead of letting it grow forever - curating-with-swamp.md
What changes when your agent can observe reality instead of reading your notes about it
I tweeted a twelve-point spec for what an agent-native cloud actually needs to look like. Vercel volunteered. Cloudflare's engineers got to work. Here's the test.
Day two with Swamp: I climbed out of the mud and actually read the docs on swamp.club — and the framework for giving AI agents typed, versioned, deterministic memory turned out to be rather brilliant.
Sequential pipelines assume humans waiting in sequence. Agents do not wait.
swamp extension quality checklist. GitHub Gist: instantly share code, notes, and snippets.
Agent state that follows you, then your team
High trust doesn't mean no guardrails. It means everyone understands the direction well enough to act independently within it. When you pair that with the right systems, every person on the team can…
Every codebase has the rearchitecture that never gets prioritised. We split ours into six parallel workstreams and shipped it in eight days, start to finish. The hard part wasn't speed. It was…
I've been using Swamp (https://swamp.club) quite a bit at $job recently, and have been running into a pattern that I feel is useful enough to share.
How Larry Wall's virtues of a Perl programmer inspire me in this era of engineering
Adaptive building blocks are how automation keeps up with AI development
Talking with Stephen O'Grady about AI and building the machine that builds the machine
How teaching your Claw about Swamp can help avoid the lethal trifecta
Engineering with AI Agents doesn't mean you get to skip the fundamentals
Building the machine that builds the machine, in order to learn what I believe about the future of my profession
Step-by-step guide: install Swamp from scratch, set up @magistr/jscad-cad extensions, configure the Claude Code skill, and generate 3D models from text descriptions.
How we built a CAD generation pipeline using JSCAD, Swamp extension models, and Claude — from choosing the right CAD system, through 7 iterations of debugging a genie lamp with 6-view projections, to…
Deploying Cozystack on a Talos Kubernetes cluster using Swamp extension models, with claude-code handling the execution while the author approves steps.
A 10-hour technical post-mortem of attempting to virtualize macOS Tiger 10.4 on QEMU with OpenCore, managed by claude-code and Swamp on Unraid.
Example42 delivers Puppet training, consulting and development services. It provides consulting on automation and DevOps practices
Your team's workflow and your agent's lifecycle want different things
This week I'm talking with Adam Jacob, founder of System Initiative and creator of Swamp, about what happens when AI agents change the entire shape of software development. We discuss how he went…
Every codebase has the rearchitecture that never gets prioritised. We split ours into six parallel workstreams and shipped it in eight days, start to finish. The hard part wasn't speed. It was…
When agents can build anything in an afternoon, the temptation is to build everything. The products that survive are the ones where someone had the discipline to say no.