Ansible AI Collaboration: New Community Repository for AI Tooling

Introduction

The Ansible community is embracing AI with a new initiative: a dedicated ansible-community repository for AI collaboration. Proposed by Gundalow (John Barker) from the Ansible team, this repository aims to be a community-driven space for developing and sharing AI tooling for Ansible.

See also: Evaluating RAG Solutions by Luca Berton on Pluralsight

Key Principles

The new AI collaboration repository is built on several core principles:

LLM-Agnostic

The tooling works across AI platforms — not locked to any specific model or provider. Whether you use OpenAI, Anthropic Claude, Google Gemini, or local models, the tools should work.

For All of Ansible

This isn't limited to collection development. The scope covers all aspects of Ansible automation: • Playbook writing and optimization • Role and collection development • Troubleshooting and debugging • Documentation generation • Code review and linting

Community Driven

Contributions are not just welcome — they're encouraged. This is a space for the community to share what works and build on each other's ideas.

Community Maintained

This is explicitly not Red Hat supported. It's maintained by the community, for the community.

Iterate Fast

The AI space moves quickly. The repository embraces rapid evolution and experimentation.

For Practitioners

These are tools built by Ansible developers, for Ansible developers. They complement existing workflows — they're never mandatory.

What Kind of Tools?

The repository is expected to include: • Prompt templates — Tested prompts for common Ansible tasks • AI-assisted workflows — Scripts and tools that leverage LLMs for automation tasks • Integration patterns — How to connect AI tools with Ansible workflows • Best practices — Guidelines for using AI effectively with Ansible • Evaluation frameworks — Ways to measure AI-generated Ansible code quality

See also: The New Ansible Community Website Preview

How This Relates to Ansible Lightspeed

Red Hat's Ansible Lightspeed is a commercial AI assistant integrated into VS Code. The community AI repository is different:

| Aspect | Ansible Lightspeed | Community AI Repo | |--------|-------------------|-------------------| | Maintainer | Red Hat | Community | | LLM | IBM watsonx Code Assistant | Any/all | | Platform | VS Code extension | Flexible | | Support | Red Hat supported | Community maintained | | Cost | Requires AAP subscription | Free |

The two are complementary — Lightspeed for enterprise users, the community repo for everyone.

Getting Involved

To participate in the AI collaboration effort: Watch the repository once it's created under ansible-community Share your tools — If you've built AI tooling for Ansible, contribute it Join the discussion on the Ansible Forum Test and provide feedback on contributed tools

See also: Ansible AI-Forge: Community Skills Repository for Content Development

The Bigger Picture

This initiative reflects a broader trend in the automation community: AI is becoming a standard part of the automation toolkit, not a replacement for it. The best results come from combining human expertise with AI capabilities.

For Ansible practitioners, this means: • Faster playbook development — AI can generate boilerplate and suggest patterns • Better troubleshooting — AI can analyze error messages and suggest fixes • Improved documentation — AI can help document roles, collections, and playbooks • Code review assistance — AI can catch common anti-patterns and suggest improvements

Conclusion

The Ansible AI collaboration repository is an exciting step for the community. By creating a shared, LLM-agnostic space for AI tooling, the Ansible community ensures that everyone benefits from advances in AI — not just enterprise users with commercial subscriptions. Watch for the repository announcement and start contributing your AI-powered Ansible tools.

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