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Gas City 1.0

Gas City 1.0

build your own software factory

Overview

What it is

The successor to Gas Town, Gas City is the OSS platform software engineers use to build software factories that builds, deploys, operates, and maintains their software products. Orchestrate your favorite CLI coding agents (Claude Code, Codex, Gemini, and more) to their non-deterministic output into product-quality solutions. features, schedule, quality: pick three.

Intent

I need it when

Build custom AI agent orchestration workflows tailored to specific team needs

Gas City 1.0 is fully customizable, allowing teams to define their own agents, formulas (orchestrations), and standing orders (cron jobs) to build exactly the AI engineering workflow they need.

Scale AI-assisted software development across distributed teams and trust networks

Gas City 1.0 supports the Wasteland, a trust network that links thousands of Gas Towns together, enabling teams to build and scale software really fast through distributed orchestration.

Manage multiple AI coding agents systematically across a software factory

Gas City 1.0 provides an agentic orchestration engine that helps software engineers manage multiple AI coding agents through systematic software factory automation, enabling coordinated multi-agent workflows.

Track accountability and measure quality in AI-assisted engineering workflows

Gas City 1.0 helps track accountability and measure quality across AI-assisted engineering workflows, providing observability into multi-agent dark factories and orchestration performance.

Integrate with multiple AI coding model providers in a unified platform

Gas City 1.0 works with Claude Code, Codex, Gemini, and more, allowing teams to leverage multiple AI models within a single orchestration layer rather than managing separate integrations.

Drop

Not a fit when

  • User needs a closed-source, proprietary AI orchestration platform without customization requirements
  • Organization requires commercial support contracts and SLAs not mentioned on the website
  • Team lacks software engineering expertise to define custom agents, formulas, and standing orders
  • User needs a solution that works exclusively with a single AI model provider rather than multiple models
  • Organization requires transparent pricing and licensing terms before evaluation
Commercials

Pricing

Pricing not specified