pith:MNJXN7JJ
Harness Engineering for Agentic AI Coding Tools: An Exploratory Study
Context files dominate how developers configure agentic AI coding tools, with AGENTS.md emerging as an interoperable standard.
arxiv:2602.14690 v5 · 2026-02-16 · cs.SE
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Record completeness
Claims
Context Files dominate the configuration landscape and are often the sole mechanism in a repository, with AGENTS.md emerging as an interoperable standard across tools.
The 2,853 GitHub repositories identified and analyzed are representative of broader developer practices and that the eight configuration mechanisms identified comprehensively capture how these tools are actually configured.
Developers overwhelmingly rely on simple static context files such as AGENTS.md to configure agentic AI coding tools, while advanced mechanisms like skills and subagents see very low adoption.
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Receipt and verification
| First computed | 2026-07-02T00:18:27.225537Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
635376fd29bf3148c0c29c316e893bb88b7a55d5cee75c798384704895b0fab8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MNJXN7JJX4YURQGCTQYW5CJ3XC \
| 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: 635376fd29bf3148c0c29c316e893bb88b7a55d5cee75c798384704895b0fab8
Canonical record JSON
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