Engineering Leverage
Output per engineer, and how much of it now comes from agents rather than keystrokes. These pieces deal with the metrics themselves: what each one can support, and the point at which it stops being evidence.
How to Benchmark AI Leverage Across a Team (2026)
A practical framework for benchmarking AI leverage across an engineering team: define output per unit of effort, plot the Effort x Leverage quadrant, and compare your team against its own baseline, not developer against developer.
Engineering Team Visibility Without Surveillance (2026)
Developer productivity tracking without surveillance: what visibility a lead legitimately needs, what crosses the line, and a rollout pattern that keeps trust.
Engineering Work That Never Becomes a Commit (2026)
Code review, thinking, agent supervision, config work, and dead-end spikes are engineering work that never becomes a commit. A taxonomy of the six types, where each one does leave a trace, and how to measure the part git cannot see.
How to Measure AI Adoption Across an Engineering Team (2026)
How to measure AI adoption across an engineering team: the metrics that hold up (agent sessions, shipped diff, token spend per PR, spread), and where seat counts and vendor dashboards mislead.
The Engineering Manager Productivity Dashboard: What to Track (and What to Cut) in 2026
What actually belongs on an engineering manager's productivity dashboard in 2026: DORA for delivery, churn for quality, leverage for effort, and why commit counts and lines of code should be deleted, not displayed. A builder's guide to the dashboard, not a vendor's.
DORA Metrics Explained: The 4 (Now 5) Delivery Metrics That Still Matter in 2026
DORA metrics explained: what deployment frequency, lead time for changes, change failure rate, time to restore service, and reliability actually measure, why they survived the AI-generated code era when volume metrics did not, and how a solo developer or small team can track them without buying an enterprise platform.
Engineering Productivity Metrics That Actually Work in 2026
Engineering productivity metrics in 2026: track delivery (DORA), quality (churn and change failure rate), and leverage (output per unit of real effort) instead of commits, lines, or hours. Which metrics survived the AI era, which to retire, and a small stack that works for individuals and small teams.
How to Measure Developer Productivity in 2026 (Without Lying to Yourself)
How to measure developer productivity in 2026: measure outcomes over activity, use a small set of hard-to-fake signals, and track leverage (output per unit of effort) instead of lines, commits, or hours. A practical method for individuals and small teams in the AI era.
Code Metrics That Matter in 2026 (and the Ones That Lie to You)
The code metrics that matter in 2026, ranked by how hard they are to fake: churn, rework, review depth, leverage, and shipped scope. Plus the vanity metrics (lines of code, commit counts, velocity points) that AI-generated code just broke.
Git Analytics in 2026: What Your Repo Data Can (and Cannot) Tell You
A builder's guide to git analytics in 2026: what commit history genuinely reveals, where it lies now that AI writes half the diffs, the main tools compared, and how to turn repo data into proof instead of vanity charts.
Changelog
All updatesAugust 13, 2026
Export Reports as PDF
Every report — Overview, Commits, and Issues — now has an Export PDF button that produces a clean, print-optimized document honouring your active filters and date range, ready to attach to an invoice or share with a client. Exports are generated locally in your browser; no data leaves your machine.
August 13, 2026
Figma Design Tracking
The Mac app now tracks time in the Figma desktop app as real design hours — automatically, with nothing to configure. Turn on optional file-name tracking to attribute design time to individual Figma files and auto-map it to projects by naming files "Project — File". Off by default, reading window titles of design apps only, behind an explicit macOS Accessibility grant you approve yourself.
July 5, 2026
Issue Attribution — Linear & Jira
Connect Linear or Jira to sync your issues and automatically tie them to the sessions and commits that shipped them. DevClocked matches issue keys from branches, commit messages, and pull requests, so delivered work links back to what it was for — read-only, with no writeback to your tracker.
June 25, 2026
Slack Integration
Install the DevClocked Slack app to bring reports into your workspace. Admins pick channels and posting rules, and each member links their own account with /devclocked connect for private personal reports and shared team digests.