Watermarking AI
Classifiers stopped spotting AI output once models got good. Watermarks hide a keyed statistical bias in text, images and proteins instead. But marking output is only half the job: without shared keys, nobody else can detect it.
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Latest posts
Watermarking AI
Classifiers stopped spotting AI output once models got good. Watermarks hide a keyed statistical bias in text, images and proteins instead. But marking output is only half the job: without shared keys, nobody else can detect it.
How to build a (basic) agentic pipeline with GitHub
Only three steps between an idea and a preview link need a human: answering questions, approving the plan and checking the result. A GitHub Action routes issue and PR events to a Claude routine that refines, builds test-first and fixes review feedback. The real effort goes into when not to proceed.
I miss a good stick
AI made doing more almost effortless, and that is the problem. When every quiet moment becomes a chance to ask another question or kick off another agent, you trade one deep experience for a dozen forgettable hits. Work at 20x, enjoy life at 1x.
How LLMs actually work (explained like I'm 5)
An LLM does one thing: it predicts the next token. Training nudges that guess towards the right answer billions of times, attention lets it look back at the tokens that matter, and chaining guesses together turns a prediction into an essay.
Engineering is no longer a distraction-free job, deal with it
Running agents in parallel turned engineers into notification processors. Defending focus is a losing fight. The job now is making interruptions affordable: visible signals, no friction, finished work you can walk away from, and more valuable work within reach.
Why DDD is more important than ever
AI made code cheap, so the bottleneck has moved from how to build to what to build. Strategic DDD matters more than ever, whilst tactical patterns like aggregates matter less as AI writes and reads more of the code.
Giving a codebase a memory
Documentation rots, and what your product does ends up in a few developers' heads. So I stopped writing docs and started extracting them: small, typed, linked notes pulled from the codebase, written for product, with every claim traced back to the line it came from.
How to build agentic pipelines that improve quality
Most agentic pipelines chase throughput by taking humans out of the loop. Better products come from small, isolated pipelines that raise quality at each human handover, from bug reports and refinement to pull requests and releases, whilst domain knowledge stays with people.
How we replaced Fyxer overnight
Fyxer's per-seat price more than doubled, so we built our own meeting notetaker in one night with Claude Code. A blind benchmark on our own bilingual meetings, EU-only storage, and a per-hour cost that puts the whole company below what nine Fyxer seats now cost.
How AI made me twenty times faster at making mistakes
When implementation becomes cheap, what's left? I stopped writing code, ventured into machine learning and 3D game development, and discovered that AI made me remarkably efficient at making mistakes. Fortunately, it also made me much faster at learning from them.
Owning the software factory
My first software factory flooded the team with pull requests nobody asked for. The second one had the same problem, just with better visibility. It only started working when the team took ownership and the factory began to encode what we believe good engineering looks like.
Relive your childhood memories, now with no bugs
As a kid, your skills could only get you so far in a game. Sometimes the game itself was the problem. AI fixed a decades-old goalkeeper bug from a short video, and the real shift is what that means for anyone with an idea.
From template tag to hydrated component
A React island inside a Django page needs three things: a template tag that records rather than renders, one batched call to a render sidecar, and a browser that hydrates only the IDs the server named. Shared state then lives outside React, in a small store or the URL.
Token spend is the new cloud bill
The token bill for an AI agent is the visible 10 to 30% of what it costs. Review, supervision, rework and ownership make up the rest, and unlike a salary, almost nobody forecasts it.
One screen doesn't need a rewrite
You don't need a front-end rewrite to make one screen feel like an app. A small render sidecar lets an existing back-end server render React components, hydrate only the islands that need to be interactive, and leave auth, the ORM, and your templates exactly where they are.
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