harvenstar

7 ms·

1. 1.▲
   Show HN: AgentClick – Human-in-the-loop review UI for AI coding agents(github.com)

   4 points by harvenstar 6mo ago|0 comments
2. 2.▲
   Show HN: AgentClick – Human-in-the-loop review UI for AI coding agents(github.com)

   1 points by harvenstar 6mo ago|0 comments
3. 3.▲
   by harvenstar 6mo ago

   I built AgentClick because we kept getting burned by AI agents acting too fast. The pattern is always the same: you ask Claude Code or Codex to do something, it generates a response, you get a y/n prompt in the terminal, and you approv
4. 4.▲
   Show HN: AgentClick – Human-in-the-loop review UI for AI coding agents(github.com)

   2 points by harvenstar 6mo ago|1 comments
5. 5.▲
   by harvenstar 6mo ago

   Thanks for support!
6. 6.▲
   by harvenstar 6mo ago

   I built AgentClick because I kept getting burned by AI agents acting too fast. The pattern is always the same: you ask Claude Code or Codex to do something, it generates a response, you get a y/n prompt in the terminal, and you approve
7. 7.▲
   Show HN: AgentClick – Human-in-the-loop review UI for AI coding agents(github.com)

   3 points by harvenstar 6mo ago|4 comments
8. 8.▲
   by harvenstar 6mo ago

   Glad it clicked! Good luck with the project.
9. 9.▲
   by harvenstar 6mo ago

   I've been building a review UI layer for coding agents (Claude Code, Codex) that lets you actually inspect and edit what the agent is about to do before it executes: https://github.com/agentlayer-io/AgentClick Tur
10. 10.▲
    by harvenstar 6mo ago

    This resonates. The problem I keep running into isn't that the model is bad — it's that the feedback loop is too thin. A y/n in the terminal isn't enough to catch when the model does something subtly wrong.
11. 11.▲
    by harvenstar 6mo ago

    Cool project — been looking for something like this. Just opened a PR with a couple of new macOS actions (empty_trash + toggle_do_not_disturb). Happy to contribute more and quick chat if you're open to it.
12. 12.▲
    by harvenstar 6mo ago

    Maybe a middle ground — let people pick a pseudonym and a one-line tagline, but no real identity. You keep the warmth of anonymity while still letting listeners find voices they connected with.