Descriptions:
The best AI engineers barely prompt their agents anymore. Sounds crazy I know! They build a loop that does the prompting for them and let it run for hours while they step away. The head of Claude Code at Anthropic put it bluntly: he doesn’t prompt Claude, he has loops running that prompt Claude for him.
The only problem is this gets expensive (and hallucinations compound) – you need a harness with observability that can run reliably not always using the expensive frontier models.
So I built one! It’s a TypeScript app that runs Pi (on Kimi) in a loop, stores every run in a database, and shows it all in a dashboard. And the loop isn’t one agent on repeat, it’s agents prompting agents: an orchestrator decides the next tasks and spins up workers to run them in parallel. Think of it like an advanced Ralph loop with more control!
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– Build and deploy your AI built applications easily with Retool – plus when you sign up now you get free app imports till July 1st and bonus AI credits on all paid plans!
https://fandf.co/4uh4uDD
– Neon, my favorite Postgres platform:
https://get.neon.com/LqufgGN
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– The Dynamous Agentic Coding Course is now FULLY released – learn how to build reliable and repeatable systems for AI coding:
https://dynamous.ai/agentic-coding-course
– Agent Control Plane (my open-source Pi loop dashboard):
https://github.com/coleam00/agent-control-plane
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0:00 The Loop Engineering Buzzword
1:42 The Core Concept of Loops
5:52 Downsides and Token Costs
8:34 Deterministic Workflows with Archon
13:18 Orchestrating Parallel Coding Agents
17:29 My Pi Loop Engineering Dashboard
21:11 Deploying Control Systems to Production
23:58 Outro
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Join me as I push the limits of what is possible with AI. I’ll be uploading videos weekly – at least every Wednesday at 7:00 PM CDT!
