openai-agents-python — Engineering Performance

8 engineers all time · Mar 2025 – Aug 2026 · built 2026-08-23 · GitHub

Performance snapshot

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

Eff. capacity added

+68.1engineers

2 devs deliver like 70 (35.1x pre-AI)

Avg. perf / dev / mo (ETV)

+4249.5%

0.69 → 30.16

Active engineers

−60.0%

5.0 → 2.0

Features

−17.8pp

35.2% → 17.4%

openai-agents-python vs. OpenAI

Per-engineer ETV for openai-agents-python 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-agents-python

30.16ETV / dev / mo

+24.70 (+452.4%) past 90d

OpenAI

9.85ETV / dev / mo

+3.60 (+57.6%) past 90d

Performance over time

ETV stacked by Features / Maintenance / Tests / Docs / Fixes — 90-day moving average, normalized to ETV / month.

Engineering capacity

Effective engineers behind openai-agents-python, 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

70engineer-equivalents

+68 engineers above real headcount

Real engineers

2engineers

active in the trailing 90 days

Capacity vs pre-AI

35.1x

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

74.4 %

Top 3

96.3 %

Top 5

99.3 %

Kazuhiro Sera owns 74.4 % of commits.

Reports

Written summary of the work completed each month.

No monthly reports available yet.

Top engineers

Most impactful commits

Top 10 by ETV in the all-time window.