AI Productivity Is a New Discipline. Even for CTOs.
Part 2 of our velocity series. Once one dev-hour stops shipping one point, the things built on that assumption — how you plan, how you hire, how you build capability — break next. And nobody has the playbook yet.
Hugo MatthaeyYour Velocity Chart Is Lying To You
Linear assumes one dev-hour ships one point. With Claude Code, it ships four to seven. Here's how we rebuilt velocity tracking to learn each person's real multiplier from history.
Hugo Matthaey
The Unsexy Software You Already Own Might Be Your Best AI Bet
Most legacy ERPs were never bad at their job — they were just painful to use. With AI and MCP, you can wrap a modern interface around the old engine instead of replacing it.
Hugo Matthaey
Running On-Demand GPU Inference in Europe With Terraform and Cloud Run
A walkthrough of how we set up serverless GPU infrastructure for speech-to-text and speaker diarization: what the setup looks like, what the costs are, and what didn't work on the first try.
Hugo Matthaey
91 Tools, One Server: How We Use MCP to Run Sales, Invoicing, and Inventory From a Single AI Interface
Six modules. Four backend types. Two transports. One binary. Here's how we wired our entire operations stack into a single MCP server.
Hugo Matthaey
Building Smarter Context: Search Strategies That Make AI Actually Useful
No single search strategy is good enough. Combining semantic, structured, and fuzzy search hides each method's weaknesses while stacking their strengths.
German Skrylnikov
We Built Our CRM From Scratch. Here's What 64 Versions Taught Us About Outbound
Sales tools are everywhere. Most are built by people who've never sent a cold message. We built our own — 64 releases later, here's what's inside.
Hugo Matthaey
