// Topics / Productivity

Productivity

    Stop Building Internal AI Tools No One Uses Internal AI tools fail when teams optimize for launch instead of habit formation, trust, and workflow fit. productivity ai leadership Why Most AI Platform Teams Become the New Bottleneck Canon post — AI platform teams fail when they centralize decisions instead of capabilities. The queue is the bug. platform-engineering ai teams The Throughput Engineer: Why Headcount Is a Lagging Metric Canon post — Headcount is a lagging metric. The best engineering organizations measure throughput: decision speed, defect containment, and constraint removal. leadership productivity operations AI Doesn't Make Your Team Faster. Shared Infrastructure Does. Individual AI speedups are a distraction. The real gains come from treating AI as team infrastructure -- embedded in docs, decisions, and onboarding. productivity ai teams AI Pair Programming: It's a Junior Dev, Not a Wizard Treat AI coding assistants like a fast, literal junior dev: tight constraints, critical review, and no expectations of architectural insight. ai engineering productivity I Tracked My AI-Assisted Coding for Three Months. Here Are the Numbers. After three months of tracking Copilot and GPT-4 usage across real projects, the productivity picture is messier than the marketing suggests. ai developer-experience productivity My Honest Take on GitHub Copilot After Six Months Six months with Copilot in real projects. What it actually helps with, where it quietly makes things worse, and why the productivity claims are overblown. ai developer-experience productivity Engineering Metrics That Actually Matter Most engineering metrics measure activity, not outcomes. Here is how to pick the few that actually improve delivery and reliability. metrics leadership productivity DORA Metrics: Stop Ruining a Good Idea DORA metrics are useful exactly until someone puts them on a performance review. Here's how to use them without destroying your engineering culture. metrics devops productivity GitHub Copilot: First Impressions From a Go Developer I got early access to GitHub Copilot's technical preview. Here's what it actually does well, what it gets wrong, and why I'm cautiously interested. developer-experience ai go Embracing Remote Work: Benefits, Dangers, and Overcoming Challenges After years of building and running distributed engineering teams, here are the actual benefits, real dangers, and hard-won lessons about making remote work stick. remote-work leadership teams Most Developer Productivity Metrics Are Management Theater Lines of code, velocity charts, commit counts — most developer productivity metrics are garbage. DORA metrics are the only ones worth your time. productivity metrics engineering Internal Platforms vs. Ad-Hoc Tooling: Which Developer Experience Actually Wins Purpose-built internal platforms versus the organic tooling teams build for themselves -- and when each approach actually delivers. developer-experience platform-engineering devops