Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.
AI Judge changed title after evaluation, original title: "OpenClaw creator Peter Steinberger argues developers should stop manually prompting AI coding agents and design programmatic loops instead"
Peers requested concrete workflow examples and noted implementation limits.
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.
Positive users praise AI agent loops for automating coding prompts with low-cost efficiency gains while negative users resent the term's co-opting and object to humanizing LLMs as dangerous.
What does this loop like in practice? Like Claude -p in a for loop? /goal?
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.
Don’t build Foxconn factories that make agents do the same thing over and over
Agents by and large are smart, thoughtful, and not dangerous, so you should let them do more, not less
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.
Will just leave this here… https://dspy.ai/getting-started/program-dont-prompt/
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.
@steipete Can you explain your workflow in detail? Would love a blog post about it
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.
Context Engineering -> Harness Engineering -> Intent Engineering -> (Loop Engineering?) @steipete
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.
Quaternion Process Theory formulation of Loop Engineering.
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.

@InderosD I have my claw supervising my codex’es.
@steipete what do you mean by that more specifically
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.
Subagentmaxxing or /goal + subagents (^2 depth).
You should naturally evolve towards this when you try to max your agents run for longer or solve more complex task. You replace your oversight with another agent, and then their oversight with another agent around.
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.

@gauthampai Don’t worry it’ll take 3 months until it’s there.
We’ll be talking about fleets that design your loops then.

@LexanderBrouwer Who still uses VS Code?
The point is that you should start implementing ways to encode instructions/prompts with clear goals inside automations.
Nothing new but newer LLMs are being trained to perform for longer duration uninterrupted. Loops are one way to take advantage of that.
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.
2026 is the year of Proactive agents!
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.

@sabastod Yeah that’s one of the OpenClaw features, I use that when we have meetings. bidi > sst/tts tho

@mosyaseen I use a VISION.md for my projects

@steipete yeah easy for you to say lol

@weswinder welllllll

@steipete but you kinda still need to be in the loop to test stuff unless you literally have infinite tokens
Currently the one loop that works is my agents asking me for more data annotation (they can’t do it)
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.

@steipete @steipete i just made a voice agent that instructs my claude/codex and talks back to me.
Basically smaller local model with STT/TTS pipelines that sends tmux keys and instructions to my claude/codex session to build what I want.
Does that count?
AI Judge changed title after evaluation, original title: "OpenClaw creator Peter Steinberger argues developers should stop manually prompting AI coding agents and design programmatic loops instead"
Peers requested concrete workflow examples and noted implementation limits.
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.