Uploaded June 2026 | Updated September 2026, 2 weeks ago
In this video, I break down what an agentic “loop” actually is, why it’s trending on X, and how it shifts prompting from step-by-step human guidance to an orchestrated system that runs until a stopping condition is met. I compare modern loops to older ideas like while loops, ReAct (2022), and AutoGPT (2023), and explain why loops are more than “just a cron job” because they include a decision-maker that reads state, acts, verifies, and repeats. I show what a serious loop needs—worktrees, reusable skills, connectors, disk memory, and especially independent verification—plus why orchestration tax (your review bandwidth) becomes the real bottleneck. Finally, I cover the risks: vague seed prompts, quiet success you don’t understand, and runaway token costs without hard limits and guardrails.
LINKS:
https://x.com/steipete/status/2063697162748260627
addyosmani.com/blog/loop-engineering
My voice to text App: whryte.com
Website: engineerprompt.ai
RAG Beyond Basics Course:
prompt-s-site.thinkific.com/courses/rag
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
Let's Connect:
🦾 Discord: discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: ko-fi.com/promptengineering
|🔴 Patreon: patreon.com/PromptEngineering
💼Consulting: calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
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💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
00:00 Agentic Loop Confusion
02:24 Loop History Timeline
03:36 Cron Plus Decisions
04:12 Building Loop Components
05:34 Verification Matters
06:12 Orchestration Tax
08:14 Seed Prompt Risks
09:07 Cost And Stopping
09:45 Skills And Guardrails
In this video, I break down what an agentic “loop” actually is, why it’s trending on X, and how it shifts prompting from step-by-step human guidance to an orchestrated system that runs until a stopping condition is met. I compare modern loops to older ideas like while loops, ReAct (2022), and AutoGPT (2023), and explain why loops are more than “just a cron job” because they include a decision-maker that reads state, acts, verifies, and repeats. I show what a serious loop needs—worktrees, reusable skills, connectors, disk memory, and especially independent verification—plus why orchestration tax (your review bandwidth) becomes the real bottleneck. Finally, I cover the risks: vague seed prompts, quiet success you don’t understand, and runaway token costs without hard limits and guardrails.
LINKS:
https://x.com/steipete/status/2063697162748260627
addyosmani.com/blog/loop-engineering
My voice to text App: whryte.com
Website: engineerprompt.ai
RAG Beyond Basics Course:
prompt-s-site.thinkific.com/courses/rag
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
Let's Connect:
🦾 Discord: discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: ko-fi.com/promptengineering
|🔴 Patreon: patreon.com/PromptEngineering
💼Consulting: calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
00:00 Agentic Loop Confusion
02:24 Loop History Timeline
03:36 Cron Plus Decisions
04:12 Building Loop Components
05:34 Verification Matters
06:12 Orchestration Tax
08:14 Seed Prompt Risks
09:07 Cost And Stopping
09:45 Skills And Guardrails
