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pith:3HZ64SWM

pith:2026:3HZ64SWMTBROAFFDHENQBXZJTD
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Vibe-driven model-based engineering

Jordi Cabot

Vibe coding with LLMs and model-driven engineering can complement each other instead of competing, creating hybrid paths for different software projects and users.

arxiv:2604.10645 v2 · 2026-04-12 · cs.SE · cs.AI

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4 Citations open
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Claims

C1strongest claim

we argue that, in fact, the two approaches can complement each other and provide altogether different development paths for different types of software systems, development scenarios, and user profiles. In this sense, we introduce the concept of vibe-driven model-based engineering as a novel approach to integrate the best of both worlds (AI and MDE) to accelerate the development of reliable complex systems.

C2weakest assumption

That the vulnerabilities, scalability issues, and maintainability concerns of LLM-based vibe coding can be mitigated through integration with MDE without adding new complexities to model specification and management.

C3one line summary

Vibe-driven model-based engineering integrates LLM natural-language coding with model-driven engineering to accelerate development of reliable complex systems.

Receipt and verification
First computed 2026-06-02T02:04:17.364015Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d9f3ee4acc9862e014a3391b00df2998d6e8cbf27989139c64b7dbe7336bf925

Aliases

arxiv: 2604.10645 · arxiv_version: 2604.10645v2 · doi: 10.48550/arxiv.2604.10645 · pith_short_12: 3HZ64SWMTBRO · pith_short_16: 3HZ64SWMTBROAFFD · pith_short_8: 3HZ64SWM
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3HZ64SWMTBROAFFDHENQBXZJTD \
  | 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: d9f3ee4acc9862e014a3391b00df2998d6e8cbf27989139c64b7dbe7336bf925
Canonical record JSON
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      "cs.AI"
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.SE",
    "submitted_at": "2026-04-12T13:47:06Z",
    "title_canon_sha256": "c52f0b9b5239ae1e6210ceea71eeb4368f2d662fc2f9d26dc0cee782242cef9b"
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