How Top Engineering Teams Actually Perform
A live index of the industry's leading engineering orgs. Every commit is weighted by the work it represents, not the lines it touched, and reported as ETV per engineer.
+1,524engineers' worth of capacity,
nobody hired
Rows come to +1,414 and the index reads +1,524. These are not meant to agree. Each org is measured against its own first reading and the index against its own, so the parts do not add up to the whole; on top of that, the index figure divides pooled output by the pooled engineer set, which is deduplicated across orgs and covers every team in the index, including ones without a public row.
Engineering capacity added since the index's own pre-AI baseline, its first reading. Every org below is measured against its own. Measured from shipped output, not from AI usage: teams also changed size, tooling and composition over this period.
How fast did it happen?
Engineering Throughput Value (ETV) per engineer, rolling 90 days. Each series is measured against its own pre-AI baseline, so there is no shared 1x line to read them against: compare a curve with where it started, not with its neighbours.
Where does each org stand?
Same measure, one card per org. Headcount is not the story, the multiple per engineer is.
OpenAI
Capacity vs pre-AI
13.4x
+347 engineers
11.88 ETV / dev / mo
Avg. dev performance / month (90-day MA)
+58.7%
Work mix
Features
27%
Maint
8%
Tests
41%
Docs
6%
Fixes
19%
Microsoft
Capacity vs pre-AI
3.9x
+393 engineers
5.21 ETV / dev / mo
Avg. dev performance / month (90-day MA)
+67.1%
Work mix
Features
35%
Maint
12%
Tests
32%
Docs
3%
Fixes
17%
Vercel
Capacity vs pre-AI
2.7x
+96 engineers
4.18 ETV / dev / mo
Avg. dev performance / month (90-day MA)
+38.9%
Work mix
Features
32%
Maint
13%
Tests
28%
Docs
8%
Fixes
19%
Capacity vs pre-AI
2.7x
+165 engineers
2.56 ETV / dev / mo
Avg. dev performance / month (90-day MA)
+24.3%
Work mix
Features
32%
Maint
16%
Tests
32%
Docs
6%
Fixes
15%
Meta
Capacity vs pre-AI
2.1x
+207 engineers
1.51 ETV / dev / mo
Avg. dev performance / month (90-day MA)
+17.5%
Work mix
Features
33%
Maint
20%
Tests
25%
Docs
3%
Fixes
19%
Cloudflare
Capacity vs pre-AI
3.0x
+206 engineers
1.25 ETV / dev / mo
Avg. dev performance / month (90-day MA)
+12.2%
Work mix
Features
32%
Maint
13%
Tests
31%
Docs
15%
Fixes
10%
Speed tells you how much a team ships. It doesn't tell you what.
Direction
Faster at what?
The same amount of output can be new features, or fixes to work that already shipped. The mix is the decision.
Performance Composition
How each org's ETV splits across features, maintenance, tests, docs, and fixes.
Patterns
Where does the output come from?
The same measure one level down, at the codebases the output is actually made in. Ranked by per-engineer ETV, this week against the full quarter.
Top 5 Repositories · last 7 days
Highest per-engineer Engineering Throughput Value (ETV) shipped in the last 7 days. Not normalized to a month.
- 1
zerocopy
Google · 1 dev
Features 69%Maintenance 2%Tests 0%Docs 27%Fixes 1%62.5
ETV / dev · 7d
- 2
agents
Cloudflare · 1 dev
Features 36%Maintenance 24%Tests 28%Docs 12%Fixes 0%17.7
ETV / dev · 7d
- 3
openai-agents-js
OpenAI · 1 dev
Features 6%Maintenance 17%Tests 57%Docs 6%Fixes 13%12.0
ETV / dev · 7d
- 4
openai-agents-python
OpenAI · 1 dev
Features 26%Maintenance 10%Tests 56%Docs 6%Fixes 1%9.9
ETV / dev · 7d
- 5
codex
OpenAI · 10 devs
Features 37%Maintenance 11%Tests 35%Docs 2%Fixes 16%5.8
ETV / dev · 7d
Top 5 Repositories · last 90 days
Highest per-engineer Engineering Throughput Value (ETV) over the trailing 90 days, normalized to a 30-day calendar month.
- 1
openai-agents-js
OpenAI · 1 dev
Features 17%Maintenance 3%Tests 49%Docs 9%Fixes 22%81.3
ETV / dev / mo
- 2
openai-agents-python
OpenAI · 2 devs
Features 18%Maintenance 2%Tests 44%Docs 12%Fixes 24%36.4
ETV / dev / mo
- 3
turborepo
Vercel · 5 devs
Features 39%Maintenance 25%Tests 10%Docs 4%Fixes 23%10.9
ETV / dev / mo
- 4
zerocopy
Google · 2 devs
Features 67%Maintenance 4%Tests 2%Docs 26%Fixes 1%10.8
ETV / dev / mo
- 5
vscode
Microsoft · 62 devs
Features 36%Maintenance 12%Tests 33%Docs 2%Fixes 17%8.9
ETV / dev / mo
Your turn
Where does your team stand?
The index measures public repositories. The same measure runs on private ones.