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Calls with Kent C. Dodds.

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The goal of the Call Kent Podcast is to get my answers to your questions. You record your brief question (120 seconds or less) right from your browser. Then I listen to it later and give my response, and through the magic of technology (ffmpeg), our question and answer are stitched together and published to the podcast feed.

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Calls with Kent C. Dodds Season 1 — 69 episodes

05.Pragmatic Loop Engineering for AI Coding Agents
14:00
Keywords

Better, with, Kent

Description
Kent shows how he closes agentic loops in real Cursor workflows: manual testing, PR review loops, Cursor Automations, and the stop conditions that keep humans in the right place.

{{chapters}}

Better with Kent — durable skills for people who ship software.

Loop engineering sounds new, but Kent has been building toward it through a series of practical workflow improvements: automated test loops, Cursor browser mode, Cursor Cloud Agent manual testing, pull request feedback loops, and finally Cursor Automations.

This episode walks through what a useful agentic loop actually needs: a trigger, an act/observe cycle, a stop condition, and a human boundary. Kent shows how he uses agents to mark PRs ready for review, respond to AI reviewer feedback and CI failures, and ping him when the loop has reached its stop condition.

The key idea is not removing the human. It is widening the loop so more verification happens before your attention is required.

Links

05.Pragmatic Loop Engineering for AI Coding Agents
14:00
Keywords

Better, with, Kent

Description
Kent shows how he closes agentic loops in real Cursor workflows: manual testing, PR review loops, Cursor Automations, and the stop conditions that keep humans in the right place.

{{chapters}}

Better with Kent — durable skills for people who ship software.

Loop engineering sounds new, but Kent has been building toward it through a series of practical workflow improvements: automated test loops, Cursor browser mode, Cursor Cloud Agent manual testing, pull request feedback loops, and finally Cursor Automations.

This episode walks through what a useful agentic loop actually needs: a trigger, an act/observe cycle, a stop condition, and a human boundary. Kent shows how he uses agents to mark PRs ready for review, respond to AI reviewer feedback and CI failures, and ping him when the loop has reached its stop condition.

The key idea is not removing the human. It is widening the loop so more verification happens before your attention is required.

Links

05.Pragmatic Loop Engineering for AI Coding Agents
14:00
Keywords

Better, with, Kent

Description
Kent shows how he closes agentic loops in real Cursor workflows: manual testing, PR review loops, Cursor Automations, and the stop conditions that keep humans in the right place.

{{chapters}}

Better with Kent — durable skills for people who ship software.

Loop engineering sounds new, but Kent has been building toward it through a series of practical workflow improvements: automated test loops, Cursor browser mode, Cursor Cloud Agent manual testing, pull request feedback loops, and finally Cursor Automations.

This episode walks through what a useful agentic loop actually needs: a trigger, an act/observe cycle, a stop condition, and a human boundary. Kent shows how he uses agents to mark PRs ready for review, respond to AI reviewer feedback and CI failures, and ping him when the loop has reached its stop condition.

The key idea is not removing the human. It is widening the loop so more verification happens before your attention is required.

Links

05.Pragmatic Loop Engineering for AI Coding Agents
14:00
Keywords

Better, with, Kent

Description
Kent shows how he closes agentic loops in real Cursor workflows: manual testing, PR review loops, Cursor Automations, and the stop conditions that keep humans in the right place.

{{chapters}}

Better with Kent — durable skills for people who ship software.

Loop engineering sounds new, but Kent has been building toward it through a series of practical workflow improvements: automated test loops, Cursor browser mode, Cursor Cloud Agent manual testing, pull request feedback loops, and finally Cursor Automations.

This episode walks through what a useful agentic loop actually needs: a trigger, an act/observe cycle, a stop condition, and a human boundary. Kent shows how he uses agents to mark PRs ready for review, respond to AI reviewer feedback and CI failures, and ping him when the loop has reached its stop condition.

The key idea is not removing the human. It is widening the loop so more verification happens before your attention is required.

Links

05.Pragmatic Loop Engineering for AI Coding Agents
14:00
Keywords

Better, with, Kent

Description
Kent shows how he closes agentic loops in real Cursor workflows: manual testing, PR review loops, Cursor Automations, and the stop conditions that keep humans in the right place.

{{chapters}}

Better with Kent — durable skills for people who ship software.

Loop engineering sounds new, but Kent has been building toward it through a series of practical workflow improvements: automated test loops, Cursor browser mode, Cursor Cloud Agent manual testing, pull request feedback loops, and finally Cursor Automations.

This episode walks through what a useful agentic loop actually needs: a trigger, an act/observe cycle, a stop condition, and a human boundary. Kent shows how he uses agents to mark PRs ready for review, respond to AI reviewer feedback and CI failures, and ping him when the loop has reached its stop condition.

The key idea is not removing the human. It is widening the loop so more verification happens before your attention is required.

Links

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