Start Small, Learn Fast: How to Explore AI Without a Strategy Many Swiss companies are in the same place right now. Leadership agrees that AI matters, teams are curious, a few employees already use chatbots on the side, but there’s… Continue Reading
Today there is an AI tool for every step of the lifecycle. Requirements, stories, code, tests, reviews, security, documentation, deployment, monitoring. I checked the main candidates for each step. What still exists, what changed in 2026, and what I would… Continue Reading
An agent is a loop, a message history and a handful of tools. Here is what that looks like in Swift 6, with actors and strict concurrency. Background Thorsten Ball’s “How to Build an Agent” makes a point that is… Continue Reading
Word2Vec is fundamentally a prediction engine over context. “Given this token, what else is likely nearby?” And that predictive framing generalizes to anything sequential: next word, next product, next event, next note in a melody. The “chances are high I’ll see similar words”… Continue Reading
Word2Vec has no notion of “meaning” — it only ever predicts which words sit near which, yet semantic structure falls out of that single objective. Here’s exactly why. Background Before dense embeddings, the default word representation was one-hot encoding: a… Continue Reading
An OpenAI-compatible endpoint on localhost:8080 is all it takes to turn an agentic coding tool into a fully offline one — here is what the stack actually does, and where it leaks. Background Agentic coding assistants are, architecturally, thin clients.… Continue Reading
Von der Spec zum Client — auf allen Plattformen Wer heute eine mobile App baut, baut meistens zwei: eine für Android, eine für iOS. Und irgendwo dazwischen schreibt man denselben HTTP-Code zweimal. Kotlin Multiplatform verspricht, dieses Problem zu lösen, aber… Continue Reading
Dynamic programming is usually taught with mutable arrays and index arithmetic — Kotlin’s generateSequence and sequence { } let you express the same recurrences as infinite, lazily-evaluated streams. Background Classic dynamic programming (DP) involves filling a table bottom-up: allocate… Continue Reading
Kotlin has always marketed itself as functional-friendly, but until the K2 compiler era, inline lambdas had a subtle second-class limitation that forced awkward workarounds in functional-style code. Background Functional programming in Kotlin relies heavily on higher-order functions and lambdas —… Continue Reading
JetBrains Koog: A Kotlin-Native Agent Framework That Skips the Python Tax If your backend is Kotlin or Java and you want to add AI agents, you’ve been forced to either wrap a Python service or accept a framework that treats… Continue Reading