Knowledge Risk — from metric to recommended action

Knowledge Risk: From Metric to Recommended Action

Most tools that measure bus factor stop at the number. One person owns this module. Here is the percentage. Good luck. That’s useful context. It’s not useful guidance. The question a CTO or engineering manager actually needs answered isn’t how concentrated is the knowledge? — it’s what do I do about it, and where do I start? The Problem With Raw Risk Metrics Knowledge concentration exists in virtually every codebase. Run any ownership analysis on a real production repository and you’ll find modules where one person did 80% of the meaningful work. You’ll find files nobody else has touched in two years. You’ll find developers who accumulated knowledge across hundreds of commits that isn’t written down anywhere. ...

June 16, 2026 · 3 min · Karl-Heinz Reichel
How to measure bus factor in your software team

How to Measure Bus Factor in Your Software Team

Bus factor is one of those concepts every engineering leader nods at and almost nobody measures. The definition is simple: how many people would need to leave — or get hit by a bus — before your project is in serious trouble? A bus factor of 1 means a single person holds knowledge that no one else has. If they leave, you’re exposed. Most teams estimate this. They name names. They have informal conversations about who knows which system. And then they file it away until someone actually leaves. ...

June 2, 2026 · 6 min · Karl-Heinz Reichel
Knowledge concentration heatmap across a codebase

What We Found When We Analysed MongoDB's Codebase

One developer. 161 files. The highest churn rate in the entire repository. This is not a startup with three engineers and no processes. This is MongoDB — one of the most widely used, most professionally maintained open-source codebases in the world. Thousands of contributors. Years of accumulated engineering discipline. And still: a single person holds exclusive knowledge of 161 files in a module that changes more than any other. Why MongoDB? We chose MongoDB deliberately. Not because it is a cautionary tale, but because it is the opposite: a project that does almost everything right. Structured contribution guidelines, active code review, long-term maintainers. If knowledge risk shows up here, it shows up everywhere. ...

May 13, 2026 · 5 min · Karl-Heinz Reichel
Knowledge concentration heatmap across a codebase

The Invisible Risk in Your Codebase

Three months’ notice sounds like enough time. It isn’t. Not for the files nobody else has ever touched. Not for the modules where one person made every decision for the last two years. You discover those files during the handover. Or after it. We call it a knowledge transfer problem. It isn’t one. It’s a visibility problem. What bus factor actually means The term comes from a thought experiment: how many people on your team would need to be hit by a bus before the project is in serious trouble? ...

April 30, 2026 · 4 min · Karl-Heinz Reichel