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openai-dotnet — Engineering Performance

6 engineers all time · Feb 2025 – Aug 2026 · built 2026-08-23 · GitHub

Performance snapshot

Today's rolling 90-day reading for openai-dotnet, compared with the start of the series. Pick a window to move that comparison point.

Eff. capacity added

+0.4engineers

2 devs deliver like 2 (1.2x pre-AI)

Avg. perf / dev / mo (ETV)

−65.0%

2.96 → 1.04

Active engineers

+100.0%

1.0 → 2.0

Features

−57.5pp

91.3% → 33.8%

openai-dotnet vs. OpenAI

Per-engineer ETV for openai-dotnet against OpenAI as a whole. Both lines are 90-day rolling averages scaled to a 30-day month, so they share one axis and can be read against each other at any point. Pick a window to zoom the chart to it.

openai-dotnet
1.04ETV / dev / mo
0.75 (41.9%) past 90d
OpenAI
9.85ETV / dev / mo
+3.60 (+57.6%) past 90d

Performance over time

ETV stacked by Features / Maintenance / Tests / Docs / Fixes.

Engineering capacity

Effective engineers behind openai-dotnet, in pre-AI terms. Per-engineer ETV divided by the Q1 2025 baseline of 0.86 ETV / dev / mo gives a capacity multiple, and that multiple applied to the engineers active in the trailing 90 days turns it into engineer-equivalents. The line is the real headcount, so the gap between line and area is what the leverage is worth.

Effective engineers
2engineer-equivalents
0 engineers above real headcount
Real engineers
2engineers
active in the trailing 90 days
Capacity vs pre-AI
1.2x
per engineer, vs 0.86 ETV / dev / mo

Knowledge concentration

How dependent is this repo on a small number of engineers? Higher top-1 share = higher key-person risk.

Top 1
47.2 %
Top 3
82.4 %
Top 5
99.2 %

Jose Arriaga Maldonado owns 47.2 % of commits.

Reports

Written summary of the work completed each month.

No monthly reports available yet.

Most impactful commits

Top 10 by ETV in the all-time window.