… but walking away to make a coffee and coming back to the robots auto-fixing bugs only found in CI is definitely some flavor of magic, regardless of the execution order to get there.
… but walking away to make a coffee and coming back to the robots auto-fixing bugs only found in CI is definitely some flavor of magic, regardless of the execution order to get there.
[1]: https://code.claude.com/docs/en/channels [2]: https://code.claude.com/docs/en/channels-reference
Am I having a yells-at-cloud moment where a bunch of folks are using cloud hosted LLM harnesses/environments (let's ignore the models, "of course" those are remote) and I just never saw the point?
Not my experience with Claude Code.
> writing a deterministic, traditional CLI tool to poll GitLab CI pipeline+job state changes on a branch and exit with an appropriate status code
This is what Claude Code does, more or less, on the fly. With a short prompt like "I pushed, monitor CI and debug if needed", it writes a monitor script which is responsible for polling CI status (the script is short, so it's not token-heavy), and if CI fails, only then does the agent proceed to pulling out CI logs, grepping them for signs of errors, etc. as continuation to debugging.
I mean, I'm sure it's more token-efficient to have a CLI tool ready-to-go instead of Claude Code dynamically writing its own script each time, but as I'm on a Max sub where it doesn't seem to affect how close I am to the limits, and I only ever hit the limits if I'm running Fable for everything... /shrug
But meanwhile we also have the scripts - one script to watch CI, one script to fetch comments (without dumping raw graphql into the agent), etc etc. Can't wait for this phase to end already