Qualification: Zhenfeng Cao, Agentic Software: How AI Agents Are Restructuring the Software Paradigm (arXiv:2606.05608v2, 2026)

Record: kaal:position:2026-09-12-001 · 2026-09-12

Zhenfeng Cao's model makes the human an intent architect who articulates intent and constraints before a run and audits the outcome after it. Kaal's position is that intent articulation cannot carry governance while the agent works, because however carefully a specification is drafted, some situations will escape it. Written instructions state intent. They do not govern. Governance has to sit outside the language the agent reads.

Affirmed commentary position. This record extends a source-bound scholarly claim but is not a verbatim paper claim.

Holds when

Cao's paper is a position paper citing benchmark evidence, not an empirical test of these claims.
The position is Kaal's own argument in the essay Prompts Don't Govern Agents. Reputation Does.
The position does not validate Cao's figures, benchmark methodology, or reported benchmark results.
The position is limited to natural-language instructions and runtime governance boundaries.

Current debate

Zhenfeng Cao, Agentic Software: How AI Agents Are Restructuring the Software Paradigm (arXiv:2606.05608v2, 2026)

Scholarly basis

kaal:claim:6886078-002
Wulf A. Kaal, Governance as a Product (GaaP): A Reputation-Weighted Institutional Architecture for Autonomous AI Agent Governance (2026). SSRN: https://ssrn.com/abstract=6886078
Source PDF sha256: cebb94de31b049b52f2290c30cd666fa30fd247c15ef33d057870921f165aa5b

Topics

law-and-legal-systems governance-design institutional-design

Provenance

Affirmed in kaalvis:2026-09-12:prompts-reputation-essay-six-v1 on 2026-09-12. Review record.

Verify

Canonical markdown sha256: c0f2c526e0db17b298857d24e4fd1f43d4f230f346f111d65b1124abe7d5dad9
curl -s https://wulfkaal.github.io/positions/2026-09-12-001.md | sha256sum