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Home/Coding Tools
Coding Tools

Open Source AI Software Factory Automates Coding Agents

Cole Medin·September 12, 2026·high confidence

Why it matters

  • →Provides an open-source blueprint for autonomous end-to-end software development.
  • →Demonstrates how to orchestrate coding agents with minimal human intervention.
  • →Shows practical token optimization strategies for long-running AI tasks.
Open Source AI Software Factory Automates Coding Agents
©Cole Medin

Developer Cole Medin has released an open-source project called the AI Software Factory, designed to automate the creation of software using large language models. The system allows a coding agent to provision a virtual private server, configure the environment, and install necessary tools via a single prompt. Once deployed, the factory accepts product requirements or issues and autonomously generates, validates, and ships code. While it leverages GPT-6 Astra for strategic decision-making, the architecture is designed to minimize token usage by delegating routine tasks. The project demonstrates a practical implementation of agentic coding workflows that operate continuously.

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The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

Together AI's Inference Engine Outperforms Competitors — Together AI Blog1AI Agents Revolutionize Coding with Claude Code — WIRED AI2Benchmarking Open Models for Agentic Use — Hugging Face Blog3Agentic AI Loops: The Next Big Step? — TechCrunch AI4Cole Medin's MIT-licensed Claude Code skills — Cole Medin5Cole Medin's AI Dark Factory: Autonomous Coding Workflow — Cole Medin6Warp Introduces Warp Factories for AI Development — TechCrunch AI7OpenAI's Coding Agents Boost Research Speed — OpenAI8Open Source AI Software Factory Automates Coding AgentsOpenAI launches Dots agentic assistant — The Verge AI9OpenAPPA tackles agent prompt injection — Fireship10Together Link bridges open models to coding agents — Together AI Blog11ML-Intern: Autonomous AI Agent for Model Training — Hugging Face Blog12GitHub Agentic Autofix for Code Scanning GA — GitHub Changelog13May 19You are hereOct 15

How we got here

  1. 1
    Together AI's Inference Engine Outperforms Competitors

    Together AI Blog · May 19, 2026 · Related

  2. 2
    AI Agents Revolutionize Coding with Claude Code

    WIRED AI · May 26, 2026 · Related

  3. 3
    Benchmarking Open Models for Agentic Use

    Hugging Face Blog · June 18, 2026 · Related

  4. 4
    Agentic AI Loops: The Next Big Step?

    TechCrunch AI · June 22, 2026 · Related

  5. 5
    Cole Medin's MIT-licensed Claude Code skills

    Cole Medin · August 13, 2026 · Related

  6. 6
    Cole Medin's AI Dark Factory: Autonomous Coding Workflow

    Cole Medin · August 14, 2026 · Same story

  7. 7
    Warp Introduces Warp Factories for AI Development

    TechCrunch AI · August 18, 2026 · Related

  8. 8
    OpenAI's Coding Agents Boost Research Speed

    OpenAI · September 6, 2026 · Related

What happened next

  1. 9
    OpenAI launches Dots agentic assistant

    The Verge AI · September 29, 2026 · Related

  2. 10
    OpenAPPA tackles agent prompt injection

    Fireship · September 30, 2026 · Related

  3. 11
    Together Link bridges open models to coding agents

    Together AI Blog · October 5, 2026 · Related

  4. 12
    ML-Intern: Autonomous AI Agent for Model Training

    Hugging Face Blog · October 8, 2026 · Related

  5. 13
    GitHub Agentic Autofix for Code Scanning GA

    GitHub Changelog · October 15, 2026 · Related

Follow this story

Open the full story →

AI Software Factory: Open Source Alpha Released

2 developments

  1. Sep 3 · Cole Medin
    AI Software Factory: Open Source Alpha Released
  2. Sep 12 · Cole Medin
    Open Source AI Software Factory Automates Coding Agents (This article)↳ Cole Medin’s tool automates coding agents into a self-contained pipeline using GPT-6 Astra for orchestration and token-saving offloading.

More from Cole Medin

Anthropic study: Agents sway expert judgment 86% of time© Cole Medin
Researchagents

Anthropic study: Agents sway expert judgment 86% of time

Anthropic’s latest research exposes a quiet but dangerous flaw in agentic workflows: experts follow AI recommendations 86% of the time, often adopting the agent's reasoning as their own. This isn't just about accuracy; it's about cognitive capture, where human oversight dissolves into passive compliance. The study shows that even when users believe they are steering, the agent’s framing dictates the outcome. Practitioners must now actively counter this bias by forcing agents to justify deviations or prototype alternatives before committing to a path. This shift demands a new discipline in how we interact with coding assistants. We can no longer assume our intent drives the result; the model's suggestion often becomes the default truth. The real work is ensuring we remain the architects, not just the approvers.

Cole Medin·Oct 31, 2026

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llama.cpp Releases·Nov 1, 2026