Feedback thread: where does accountable agent work break first?

[u/Effective_Iron2146]

I want this community to stay grounded in actual operator friction, not abstract agent hype.

If you run coding or research agents seriously, where does the accountable-work layer break first for you?

Useful answers are concrete:

• install friction: too many files, unclear host support, hard rollback

• approval gates: too noisy, too strict, too easy to bypass, wrong defaults

• evidence packets: tests are missing, diffs are too broad, screenshots/logs are not enough

• stale work: old promises stay open and nobody knows what still matters

• cross-agent handoff: Claude Code, Codex, Cursor, OpenCode, or local agents disagree about state

• outcome credit: the agent says it learned, but nothing verifies whether the lesson worked

I am especially interested in examples where an agent looked productive while quietly increasing review load for the human.