Leadership
Platform Engineering metrics: what to track in your first 90 days
New platform teams often get their first metrics wrong. They build dashboards with things like CPU usage, memory, and number…
Insights
Articles about code review, AI, and engineering productivity
Leadership
Integrating legacy systems with newer technologies while the system grows
The most dangerous systems in an organization are often the ones no one complains about. They sit there, processing transactions…
Leadership
High severity code review findings per 1,000 changes
Raw counts can be misleading. If one repo changes 10 million lines and another changes 200k, the first will almost…
Leadership
The Future Of Software Engineering according to Anthropic
The initial productivity gains from AI code assistants are starting to come with a cost. The speed is undeniable. You…
Leadership
Will Engineers Be Replaced by AI? What’s Actually Changing in Software Engineering
The question of whether engineers will be replaced by AI is not new, but this time it feels different. Previous…
Leadership
How to avoid technical debt
Technical debt is part of the game in software development. Ignoring it, however, turns a calculated shortcut into a bottleneck…
Technology
What Is Context Engineering and How to Apply It in Real Systems
An AI code assistant generates a function to handle user uploads. The code looks correct, compiles, and passes all tests.…
Leadership
Context Engineering vs Prompt Engineering: the shift in how we build AI systems.
You receive a pull request coming from an AI. The code looks clean, follows the prompt, and all unit tests…
Small pull requests are a risk control, p95 shows why
People talk about pull request size like it’s a style preference. I used to think the same, until I put…