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Case Studies and Reflections on Agentic Software Engineering for Rapid Development of Digital Music Instruments

Matthew John Yee-King

Agentic software engineering enables rapid development of interoperable digital music instruments.

arxiv:2605.14016 v1 · 2026-05-13 · cs.SE · cs.SD

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

ASE can lower barriers to entry and facilitate creation of interoperable software with greater longevity.

C2weakest assumption

That the autoethnographic reflections and prompt logs from these three specific case studies by one experienced developer generalize to identify broadly effective practices and will translate to non-programmer musicians.

C3one line summary

Agentic AI was used to rapidly reimplement Music Mouse, translate the Continuator system, and add a 3D UI to a tracker sequencer, with reflections on effective practices for audio software development.

References

29 extracted · 29 resolved · 1 Pith anchors

[1] Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions.Artificial Intelligence Review, 59(11) 2025 · doi:10.1007/s10462-025-11422-4
[2] Antoine Caillon and Philippe Esling. 2022. Streamable Neural Audio Synthesis With Non-Causal Convolutions. https://doi.org/10.48550/arXiv.2204.07064 arXiv:2204.07064 [cs] 2022 · doi:10.48550/arxiv.2204.07064
[3] Filipe Calegario, João Tragtenberg, Christian Frisson, Eduardo Meneses, Joseph Malloch, Vincent Cusson, and Marcelo M. Wanderley. 2021. Documentation and Replicability in the NIME Community. InNIME 20 2021
[4] Nick Collins. 2016. Live Coding and Teaching SuperCollider.Journal of Music, Technology & Education9, 1 (May 2016), 5–16. https://doi.org/10.1386/jmte.9. 1.5_1 2016 · doi:10.1386/jmte.9
[5] Collins English Dictionary. 2025. VIBE CODING Definition and Meaning 2025
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First computed 2026-05-17T23:39:13.003966Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

c675add5877a76401f89027d1c00e1d9ae91214ecc5ad3fd54a1a6efd509f471

Aliases

arxiv: 2605.14016 · arxiv_version: 2605.14016v1 · doi: 10.48550/arxiv.2605.14016 · pith_short_12: YZ223VMHPJ3E · pith_short_16: YZ223VMHPJ3EAH4J · pith_short_8: YZ223VMH
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YZ223VMHPJ3EAH4JAJ6RYAHB3G \
  | 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: c675add5877a76401f89027d1c00e1d9ae91214ecc5ad3fd54a1a6efd509f471
Canonical record JSON
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