Skip to content
Live

Podcast explains 'software factory' method for AI coding agents

A developer breaks down a four-step system for running multiple AI coding agents in parallel and verifying their output.

Summarized from Greg Isenberg, . 35-second read.

This story is from September 14, 2026. For the latest, see today's news.

In this video interview, developer Ras Mic explains a workflow he calls a 'software factory' for building software with AI coding agents. The system is organized into four steps: isolate, build, prove, and ship, and is stored as simple markdown files so it can work with any AI model or tool.

Mic describes isolating each new feature in its own git branch, using a 'code structure skill' to keep AI-generated code readable, and requiring agents to provide before-and-after evidence like screenshots or videos to prove their work functions correctly. Finished code is then scored by a review tool before shipping.

He says this approach lets him run up to 15 coding tasks at once while reviewing visual proof rather than checking raw code line by line.

Read the full story at Greg Isenberg

This is an AI-written summary. The original reporting belongs to Greg Isenberg. How we write these · Spot a mistake?

Share

Get the AI brief every morning.

The five AI stories that matter each morning: startups, money, jobs, tech and what's coming next. Free, and one click to unsubscribe. See our Privacy Policy.