AI tools promise faster coding. Too bad that’s not your actual problem. Here’s why engineering fundamentals matter more than most AI metrics you’re being told to track.| www.swarmia.com
Measuring AI impact feels necessary, but we don’t know what good looks like yet. Lessons from 1995: why learning beats metrics in transformational moments.| www.swarmia.com
Building vs. buying engineering intelligence — and when "a simple dashboard" can become your most expensive engineering maintenance cost.| www.swarmia.com
Software complexity has long been a topic of interest for engineering teams seeking to maintain productive, sustainable codebases. In this blog post, we explore the relationship between complexity and developer productivity.| www.swarmia.com
High change lead time indicates productivity challenges on a software engineering team. By understanding and addressing the common culprits, teams can streamline their processes and deliver faster, higher-quality results.| www.swarmia.com
If you’re digging into engineering metrics for the first time, it can be hard to know what “good” looks like. That’s why we’ve published engineering benchmarks to help you form realistic ambitions for a set of core engineering effectiveness metrics.| www.swarmia.com