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

Record: kaal:position:2026-09-12-003 · 2026-09-12

Cao calls for tooling that traces an agent's reasoning chain. Kaal's position is that governance needs evidence of effects, not testimony: files, network connections, credentials, and devices observed from outside the agent and tied to the authorization each run used. Without such a record, a user can hold every byte locally and still have no answer to what happened. An unobserved channel is labeled unobserved, never shown as safe.

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 observable effects and authorization records for agent runs.

Current debate

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

Scholarly basis

kaal:claim:7314479-002
Wulf A. Kaal, Institutional Requirements for Sovereign Local Agent Runtimes (2026). SSRN: https://ssrn.com/abstract=7314479
Source PDF sha256: debace24a155ae924a155b1fafe98856d98cf83689feff2f87a32f1c06171ce6

Topics

ai-and-agents institutional-design risk-and-incentives

Provenance

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

Verify

Canonical markdown sha256: 4c258e8687c2ec6dbcffbf36743d9a878ff83284d946e44ab8f707d020eafc09
curl -s https://wulfkaal.github.io/positions/2026-09-12-003.md | sha256sum