The Process That Worked at 15 Developers Breaks at 50
More output, more frequency, less productive somehow. What changes structurally between fifteen developers and fifty — and why discipline alone can’t fix it?
The Improvement That Went Nowhere
She mapped the problem, built the solution, engaged the team. Then nothing moved. Here’s what nobody told her about her organisation.
Green Builds Don't Mean You Built the Right Thing
A green build tells you the code works. It doesn’t tell you it solves the right problem. Here’s the gap AI widens.
The Missing 'So That': A Case Study in Distance
AI can write a user story. It can’t have the conversation that makes it mean something. A case study in distance.
Two conversations, one question: what matters more than speed
Two client conversations, one lesson: no AI model or management conviction replaces listening before deciding how fast to move.
10x Productivity: What the Promise Leaves Unaccounted For
Your team’s “10x” AI-accelerated capacity isn’t stable — it fluctuates unpredictably. Is your planning accounting for that?
The Bottleneck Was Never in the Coding
AI coding assistants promise faster delivery. But what if coding was never the bottleneck? A queueing theory perspective.
What 'Done' Really Means: The Definition That Changes Everything
A static Definition of Done produces static results. An evolving one creates productive crises that force teams to improve sustainably.
What Happens After Your Two-Year Agile Transformation (And Why Lasting Change Takes Longer Than You Think)
Two years of agile transformation delivers the structure. Lasting change requires building the capability to keep improving. Here’s the difference.
From Scope Arguments to Conversations: What Sprint Planning Should Actually Achieve
When sprint planning focuses on scope instead of value, mid-sprint becomes scope arguments. Here’s what planning should actually achieve.