Developer Productivity

Small frictions cost more than big blockers. 47 micro-frictions consume 96 minutes per engineer per day. Here's the TAX Return framework for finding and eliminating the developer productivity tax.

Engineers spend 38% of their time on repetitive, automatable work. Here's a toil audit process that identifies where time disappears and a framework for systematic elimination with measurable ROI.

Developer experience is a systems design problem, not a culture problem. Platform engineering reduces cognitive load from 12 concepts to 3 for common tasks. Here's the LOAD assessment framework.

The 10x developer myth is actively harmful to engineering teams. After tracking individual metrics vs team output, I found that the highest performers often had negative correlations with team throughput.

30-45% of engineering time produces zero customer value. Here's a 4-week audit process that identifies exactly where time goes and the AUDIT cadence for continuous productivity improvement.

Sprint velocity measures estimation consistency, not productivity. After tracking 8 teams, I found velocity often increases while actual output declines. Here's the SHIP framework that replaces it.

Developers spend 70% of time in the inner loop but orgs invest 85% of tooling budget in the outer loop. Here's how to fix the imbalance.

I tracked my flow states for 3 months: 1.8 productive hours per day out of 8+. Here's the playbook that doubled my deep work time to 4.2 hours.

Every metric changes behavior. Story points, code coverage, and PR counts cause damage. Here's a metric health check to prevent unintended consequences.

One senior engineer had 17 weekly meetings and 12 productive hours per week. Here's a meeting audit framework that recovers engineering capacity.

Our 14-minute build was costing us 28% of PR throughput. Here's the exact sequence of optimizations that cut it to 90 seconds.

Developer experience is a competitive advantage, not a perk. A DX friction log and ROI framework for getting executive buy-in on improvements.

The SPACE framework measures developer productivity across five dimensions. Here's how to implement it without creating a bureaucratic nightmare.

Lines of code as a productivity metric actively incentivizes bad behavior: less refactoring, no code reuse, padded code. Here's what to use.

DORA metrics are the best starting point for engineering performance. But they miss developer experience, quality depth, and value delivery.