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Unlocking AI Powered DevOps Within Your Organization — Jon Peck, GitHub
Takeaway
Roll out AI DevOps by training brownfield prompting habits, codifying team standards in copilot-instructions.md, and curating exemplar knowledge bases.
Summary
- GitHub developer advocate reports best-case 1.5x feature throughput, ~30% average improvement, better build success rates, higher developer happiness with Copilot adoption.
- Recommend AI-in-IDE flow over chat copy-paste; pick the right model per task (flash for quick, reasoning for deep exploration).
- Start with brownfield modifications not greenfield builds — that teaches prompt/context shaping for real daily work.
- Use agent mode to draft scoping documents, narrow context to specific folders, and don't fear reverting 500 changes to retry.
- Codify team standards in .github/copilot-instructions.md and build knowledge bases (Copilot Enterprise) of exemplar repos for institutional knowledge.
copilotdevopsbrownfield
Original description
Software development is a team sport, with many different roles, where eveyone can win. But success isn't guaranteed; it depends on specific practices, policies, and tools which enable minimally-siloed, AI-accelerated collaboration across all parts of the DevOps process, from PM to development to CI/CD and security. Discover the patterns and tools which lead to success, methods for changing the status quo, and perhaps a few horror stories. We'll touch on innersourcing, cloud development, AI, automation, governance, security, scaling and more -- with actionable learnings for everyone from small maintainer communities to F500 Enterprises. About Jon Peck An Enterprise Advocate (and occasional manager) at GitHub, Jon Peck meets daily with maintainers, startups, and F500 executives to familiarize them with industry best practices, policy suggestions, and product capabilities across DevOps and AI. With 25+ years of experience as a fullstack developer, architect, and advocate, he aims to to bring engaging, real-world learnings to both boardrooms and global conferences. - Speaker (conferences): Dev Exec World 2025, STARWEST 2024, InnerSource Summit 2023, GitHub Galaxy 2023, DevWeek Management 2023, Startup Grind 2022, GitHub InFocus 2022, DeveloperWeek 2018-20, SeattleJS, Global AI Conf 2018-19, AI Next 2019-20, MLOps World, Data Innovation Summit, Nordic APIs 2018-19 (keynote), ODSC East+West, API World, O'Reilly AI, OSCON - Speaker (tech schools): Galvanize, CodeFellows, Metis, Epicodus, Alchemy - Organizer: Seattle Building Intelligent Applications Meetup - Educator: Cascadia College, Seattle C&W, consultant - Lead Developer: Empower Engine, Giftstarter, Mass General Hospital, Cornell University - Technical Advocate: Algorithmia, GitHub Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter