
Henri Parkkonen
COO & Partner
Henri leads delivery — automations, full-stack builds, and the Claude Code workshops. He writes about tooling choices and how they hold up under real workloads.
From Henri
Mobile Apps That Actually Ship: How AI Changes the Development Economics
Mobile development has always been expensive because it required separate teams for iOS and Android. Cross-platform frameworks changed one side of that equation. AI-assisted development changes the other — but only if you don't skip the engineering discipline.
Building a Mobile App in 2026: What AI-Assisted React Native Development Actually Delivers
AI-assisted development has changed the economics of cross-platform mobile — not by removing the engineering discipline, but by shifting where the hours go. Here's what that looks like on a real project.
When to Build an AI Agent (and When a Simple Automation Is Enough)
Every workflow tool vendor now has an "agent" mode. Every consultant is pitching agents for processes a basic n8n flow would handle in thirty minutes. Here is how to tell the difference before you build the wrong thing.
The Hidden Math Behind Your LLM API Bill
Most teams building LLM features don't notice the cost problem until the invoice arrives. Token budgets, prompt bloat, and naive integration patterns can turn a useful AI feature into an expensive mess — here's what to look at first.
What Nobody Tells You About Running AI Agents in Production
Your AI agent works flawlessly in the demo. Six weeks after deployment it's producing inconsistent outputs, burning through your token budget, and nobody can tell you why. Here's what production reliability for AI automations actually requires.
Before You Commission a Mobile App: What AI-Assisted Development Changes (and What It Doesn't)
Companies getting quotes for mobile apps in 2026 are seeing wildly different timelines and prices. Here's what AI-assisted development actually compresses, where human expertise still decides the outcome, and three questions to ask before you sign anything.
Why AI Adoption Fails in Most Teams — and What Actually Works
Most companies have handed every employee an AI subscription. Three months later, a handful of people use it and the rest have stopped. Here is what separates adoption that sticks from adoption that doesn't.
Why Most AI Training Doesn't Change How Your Team Works
Companies are paying for AI tools and training sessions that leave workflows unchanged a month later. Here's what separates training that permanently shifts daily habits from sessions that produce good feedback scores and nothing else.
AI-Assisted Development at Team Scale: What Works, What Doesn't, and How to Roll It Out
“Yes, kind of” is the default state of AI adoption in most engineering teams. The gap between a few individuals using AI and a whole team using it well is wider than it looks — here’s how to cross it.
Rolling Out AI-Assisted Development: What Engineering Teams Get Wrong in the First Six Weeks
The AI coding tools are genuinely good now. Getting two enthusiasts productive is easy; getting a whole engineering team there is where rollouts go wrong. Here are the five most common mistakes.