4 items
4 posts
The rsync Claude debate shows why teams need reproducible defect forensics before AI attribution becomes a public blame machine.
AI coding agents become safer when permissions, logs, and rollback are designed as one system. Here is the operating loop I would put around any agent that can edit code, run tools, or open pull requests.
Coding agents make code faster than teams can review it. The next advantage is not bigger prompts. It is review systems that force reproduction, small diffs, tests, and receipts.
A new study from nrehiew quantifies a problem every Claude Code, Cursor, and Codex user has felt: models making huge diffs for tiny fixes. Here is why it happens, why tests do not catch it, and what to do about it.

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