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# How to think about Gas Town

**[Steve Klabnik](https://daily.dev/sources/steveklabnik)** · 8 min read · 0 upvotes · 0 comments

## Summary

Gas Town is a project using AI agents to autonomously complete software development tasks from bug trackers. The core concept is straightforward: workspaces contain projects with bug trackers, and AI agents work through these tasks independently. The project's unconventional terminology and presentation style serves as a filtering mechanism to attract like-minded experimenters while deterring casual observers. This approach challenges traditional software development assumptions, particularly around rigor and testing, as the industry grapples with AI's impact on development practices.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://steveklabnik.com/writing/how-to-think-about-gas-town/>

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- [My thoughts on Gas Town after 10,000 hours of Claude Code](https://daily.dev/posts/my-thoughts-on-gas-town-after-10-000-hours-of-claude-code-l2hswhbgy) · Lobsters · 2 upvotes · 0 comments
- [Gas Town: What Kubernetes for AI Coding Agents Actually Looks Like](https://daily.dev/posts/gas-town-what-kubernetes-for-ai-coding-agents-actually-looks-like-wqajllnnu) · DevOps.com · 1 upvotes · 0 comments

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Tags: [#ai](https://daily.dev/tags/ai), [#automation](https://daily.dev/tags/automation), [#erlang](https://daily.dev/tags/erlang)

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