ChannelPulse
Upkeep and feedback loops that run every day
The work nobody gets to (dead code, slow builds, unresolved review comments, user reports) is where AI-native teams gain the most. This lesson covers scheduled agent routines that open small cleanup changes, the guardrails that keep them useful, and a feedback loop where every report ends in a reproduction, a fix and a reply.
What you'll be able to do
- Describe a scheduled agent routine and give four useful examples across delete, simplify, harden and close-the-loop
- Name the guardrails that keep routines from flooding reviewers or deleting live code
- Describe a feedback loop that turns every report into a reproduction, a fix and a reply to the reporter
- Answer tech-debt and user-feedback questions with these loops, for engineering, manager and product roles
Before this: testing-and-shipping-safely
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The work nobody gets to (dead code, slow builds, unresolved review comments, user reports) is where AI-native teams gain the most. This lesson covers scheduled agent routines that open small cleanup changes, the guardrails that keep them useful, and a feedback loop where every report ends in a reproduction, a fix and a reply. This walkthrough runs about 13 minutes, with runnable code you can edit and re-run as you read. A new account gets 7 days of Pro free, no card required.
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