TL;DR
A companion guide to the Loop Engineering video: the shift from repeatedly prompting an LLM to building long-running loops, goals, and automations. Here is the core idea and where to go deeper.
| Resource | Description |
|---|---|
| Watch: Loop Engineering in 9 Minutes | The full walkthrough on the DevDigest channel |
Loop Engineering in 9 Minutes discusses moving away from repeatedly prompting an LLM and toward long-running loops and automations. Instead of driving a model one message at a time, you set goals and let long-running workflows carry the work forward.
This post is a companion to the video above. Watch the nine-minute walkthrough for the full argument, then use the links here to see how the loop idea shows up across tools.
Stop prompting, start building loops. The tasks that matter are rarely a single question. They are ongoing goals, and a loop that keeps working toward a goal beats retyping the same prompt every time you want the next step.
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From the archive
Jul 1, 2026 • 11 min read
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The shift changes how you spend your time:
Loop thinking is showing up across the ecosystem. Codex loops and agent routines covers one implementation, and the coming loop and agent comprehension looks at where the pattern is headed. The common thread is the same one this video argues: less manual prompting, more standing workflows.
The move the video suggests is to take a task you keep re-prompting, define it as a goal, and set up a loop or automation to carry it. Start with something low-risk and observable so you can watch what the loop does before trusting it with more.
Watch the full Loop Engineering in 9 Minutes walkthrough above, then turn one repetitive prompt of yours into a standing loop and stop typing it again.
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