From Prompts to Loops: Building Autonomous Coding Agents
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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
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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.
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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.
In the past 24 months, we went from Prompt Engineering to Context Engineering to Harness Engineering to Loop Engineering in no time.
While Loop Engineering is a new concept and still in its infancy, the internet has been flooded with its posts.
What exactly is Loop Engineering? How does it work? Should developers stop prompting now?
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.
With that, let’s begin by revisiting our existing AI workflows.
How Developers use AI Agents
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: