pith:4A66SVTM
Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle
Output verifiability enables agentic AI adoption mainly in later software development phases.
arxiv:2605.15245 v1 · 2026-05-14 · cs.SE
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Claims
output verifiability is the primary enabler of agentic adoption: later SDLC phases, whose outputs are objectively evaluable through executable feedback, demonstrate the highest maturity and industrial presence, while earlier phases remain almost exclusively academic proofs-of-concept.
The 92 manually verified primary studies, after multi-agent screening of over 1600 candidates, form a representative and unbiased sample whose thematic synthesis accurately reflects dominant patterns and industrial practices without significant omission of key work.
Systematic review of agentic AI in the SDLC finds output verifiability drives industrial adoption in later phases, with Planner-Executor-Reviewer as the dominant pattern, plus a new multi-agent LLM screening pipeline for high-volume SLRs.
References
Receipt and verification
| First computed | 2026-05-20T00:00:48.191146Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e03de9566c507c408287176d4aba3587e81f53a0350e1152fac2a68dad25ea55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4A66SVTMKB6EBAUHC5WUVORVQ7 \
| 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: e03de9566c507c408287176d4aba3587e81f53a0350e1152fac2a68dad25ea55
Canonical record JSON
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