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From Prompts to Loops: Building Autonomous Coding Agents

Why developers are moving from writing prompts to writing the systems that write prompts

Animesh Gaitonde

8 min read·<br>Just now

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Loop Engineering is the new kid on the block. A single tweet in early June has taken the industry by storm.<br>Press enter or click to view image in full size

Peter Steinberger’s tweet on Loop Engineering AI has advanced rapidly, and the industry seems to coin a new term ending in “Engineering ” whenever it discovers a reusable pattern.<br>In the past 24 months, we went from Prompt Engineering to Context Engineering to Harness Engineering to Loop Engineering in no time.<br>While Loop Engineering is a new concept and still in its infancy, the internet has been flooded with its posts.<br>What exactly is Loop Engineering? How does it work? Should developers stop prompting now?<br>In this article, we’ll answer these questions. We’ll also explore the mechanics of Loop Engineering and share best practices for using it effectively.<br>With that, let’s begin by revisiting our existing AI workflows.<br>How Developers use AI Agents<br>Every other company relies on Claude Code, Codex, or another AI coding tool for software development. Here’s what a typical development task looks like:

Written by Animesh Gaitonde<br>4K followers<br>·58 following

SDE-3/Tech Lead @ Amazon| ex-Airbnb | ex-Microsoft. Writes about Distributed Systems, Programming Languages & Tech Interviews

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