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The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering

Ahmed E. Hassan, Hao Li, Haoxiang Zhang

AIDev supplies the first large-scale dataset of 456,000 real pull requests from five autonomous coding agents to ground study of AI teammates in software development.

arxiv:2507.15003 v1 · 2025-07-20 · cs.SE · cs.AI · cs.CE · cs.LG

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1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

AIDev provides an unprecedented empirical foundation for studying autonomous teammates in software development, enabling research in benchmarking, agent readiness, optimization, collaboration modeling, and AI governance beyond synthetic benchmarks.

C2weakest assumption

The collected pull requests accurately represent typical in-the-wild agent behavior without major selection bias from the five chosen agents or the repositories that expose their activity.

C3one line summary

AIDev is a new open dataset of 456k AI-agent pull requests showing agents submit code faster than humans but with lower acceptance rates and simpler changes.

References

37 extracted · 37 resolved · 3 Pith anchors

[1] [n. d.]. Introducing Codex. https://openai.com/index/introducing-codex/. [Accessed 07-07-2025] 2025
[2] [n. d.]. Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity. https://metr.org/blog/2025-07-10-early-2025- ai-experienced-os-dev-study/. [Accessed 17-07-2025] 2025
[3] Prompting in the wild: An empirical study of prompt evolution in software repositories 2025 · doi:10.1109/msr66628.2025.00086
[4] arXiv preprint arXiv:2506.14683 , year= 2025
[5] Viraat Aryabumi, Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang, Acyr Locatelli, Marzieh Fadaee, Ahmet Üstün, and Sara Hooker. 2025. To Code or Not To Code? Exploring Impact of Code in Pre-training 2025

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Cited by

28 papers in Pith

Receipt and verification
First computed 2026-05-17T23:38:50.696599Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ca720fc44cf54e50f565bab009319c99afe51ab29498b6ddf06e63bf78b67ae2

Aliases

arxiv: 2507.15003 · arxiv_version: 2507.15003v1 · doi: 10.48550/arxiv.2507.15003 · pith_short_12: ZJZA7RCM6VHF · pith_short_16: ZJZA7RCM6VHFB5LF · pith_short_8: ZJZA7RCM
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZJZA7RCM6VHFB5LFXKYASMM4TG \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: ca720fc44cf54e50f565bab009319c99afe51ab29498b6ddf06e63bf78b67ae2
Canonical record JSON
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