“You can’t manage what you can’t measure.” While software development practices constantly change, there will always be a tier of truly top engineering teams who stand above…
Adopt and scale Team Topologies: platform-as-a-product, templates, more. — Team Topologies - Organizing for fast flow of value
Accelerate value with Team Topologies: measure cognitive load, define team boundaries, apply inverse Conway, readiness assessments, and more for fast delivery.
The Economics of Software Teams: Why Most Engineering Organizations Are Flying Blind
A breakdown of what software development teams actually cost, what they need to generate to be financially viable, and why most organizations have no visibility into either number.
Software Engineering Productivity Research - Home
Review: Team Topologies
Many organizations are struggling with their business agility transformation. One of the reasons is the way they have organized their teams. The focus was probably on efficiency and if these teams …
Laws of Software Engineering
A collection of principles and patterns that shape software systems, teams, and decisions.
Scaling Engineering Teams: Lessons from Google, Facebook, and Netflix
After spending over a decade in engineering leadership roles at some of the world’s most chaotic innovation factories—Google, Facebook, and Netflix—I’ve learned one universal truth: scaling e…
How To Scale a Development Team
As hackers, we’re familiar with the need to scale web servers, databases, and other software systems. An equally important challenge in a growing business is scaling your development team.
Engineering managers have a new job description
Why engineering managers are expected to be hands-on again and how AI tools are making it possible to stay technically sharp while still leading.
The Engineering Leadership Report 2026
Our survey of 600 engineering leaders exploring how the role is evolving, where the challenges lie, and what the future holds for the job.
Theory and Memory: Two Forces Shaping Software Team Knowledge
How insights from cognitive science and social psychology explain why software knowledge is so hard to preserve
Case Studies — Team Topologies - Organizing for fast flow of value
Examples of Team Topologies used in industry
AI makes weak engineers less harmful
Like other kinds of puzzle-solving, software engineering ability is strongly heavy-tailed. The strongest engineers produce way more useful output than the average, and the weakest engineers often are actively net-negative: instead of moving projects along, they create problems that their colleagues have to spend time solving. That’s why many tech companies try to build a small, ludicrously well-paid team instead of a large team of more average engineers, and why so far this seems to be a winning strategy.
AI Coding Agent Benchmarks & Leaderboard | Artificial Analysis
We measure real-world performance of coding agents on software engineering tasks, including cost, token usage, and execution time. We compare how performance changes across agents, models, and execution settings.
How teams build – Linear
AI usage patterns in software teams: who is adopting AI, how it reshapes where teams spend their time, and how much more they ship.
Why AI Makes Things Worse for Enterprise Teams, by Paul Ford
Why are so few engineering teams reaping the benefits of AI? On this week’s episode, Paul presents Rich with the findings from a recent report from CircleCI and
Quality Wednesdays: How we trained our team to see what doesn’t work - Linear
In early 2023 at an offsite in Tenerife, our European engineering team did a series of exercises that ended up changing the way we work.
