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No Priors Ep 106 | With GitHub CEO Thomas Dohmke

This week on No Priors, Sarah and Elad talk with GitHub CEO Thomas Dohmke about the rise of AI-powered software development and the success of Copilot. They discuss how Copilot is reshaping the developer workflow, GitHub’s new Agent Mode, and competition in the developer tooling market. They also explore how AI-driven coding impacts software pricing, the future of open source vs. proprietary APIs, and what Copilot’s success means for Microsoft. Plus, Thomas shares insights from his journey growing up in East Berlin and navigating rapidly changing worlds. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @ThomasDohmke Show Notes: 0:00 Introduction 0:37 GitHub Copilot’s capabilities 4:12 Will agents replace developers? 6:04 Copilot’s development cycle 8:34 Winning the developer market 10:40 Agent mode 13:25 Where GitHub is headed 16:45 Building for the new challenges of AI 21:50 Dev tools market formation 29:56 Copilot’s broader impact 32:17 How AI changes software pricing 39:16 Open source vs. proprietary APIs 48:01 Growing up in East Berlin

Sarah GuohostThomas DohmkeguestElad Gilhost
Mar 12, 202550mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

GitHub CEO Envisions AI Agents As Everyday Teammates For Developers

  1. GitHub CEO Thomas Dohmke discusses how Copilot is evolving from autocomplete into agentic collaborators that can own issues, draft pull requests, and act as true peers on software teams.
  2. He outlines the technical and UX hurdles to trustworthy agents—better reasoning models, clear task scoping, predictability, steerability, and verifiability—while emphasizing that humans will remain in the loop for systems thinking and final judgment.
  3. Dohmke explains how GitHub builds and evaluates Copilot, how competition and open source (including model catalogs and projects like DeepSeek) accelerate innovation, and why developer choice across tools and models will persist.
  4. He also explores the business impact of Copilot, the changing nature of software work, the future of pricing and value in an AI-saturated world, and how AI will reshape roles from engineering to product and design.

IDEAS WORTH REMEMBERING

5 ideas

AI coding tools are shifting from pair programmers to peer programmers.

GitHub’s Project Padawan vision for 2025 has Copilot taking well-defined issues, planning solutions, and iteratively committing code via pull requests, behaving much more like a human teammate than a passive assistant.

Trustworthy agents must be predictable, steerable, verifiable, and tolerable.

Dohmke stresses that developers will only adopt agents widely if they reliably handle certain tasks, are easy to guide, produce outputs that can be inspected and rolled back, and genuinely save time instead of burning cycles.

Human systems thinking remains the bottleneck that agents can’t yet replace.

Agents still struggle to decompose vague, high-level ideas into coherent plans without constant clarification, so developers’ roles will increasingly center on problem framing, architecture, and trade-off decisions rather than raw typing.

AI will transform the entire software lifecycle, not just code generation.

Beyond writing code, GitHub is investing in code review agents, security and dependency backlog reduction, and tooling to help specify, plan, and iterate on features—where much of real engineering time is actually spent.

Developer choice and heterogeneous stacks will persist in the AI era.

Just as no single language or framework “won,” Dohmke expects a mosaic of models, agents, and tools; GitHub’s model catalog and extension system reflects a strategy of integrating many options rather than betting on one.

WORDS WORTH SAVING

5 quotes

Copilot basically graduates from a pair programmer to a peer programmer that becomes a member of your team.

— Thomas Dohmke

If you are predictable, steerable, verifiable, and tolerable, we’re going to see wide adoption of agents.

— Thomas Dohmke

We’re heading into a world of more human language and less programming language.

— Thomas Dohmke

Software is like Minecraft—there is no winning. You’re playing the infinite game.

— Thomas Dohmke

There’s no looking back. The future will be that we have AI for almost everything we do in our lives if we want to.

— Thomas Dohmke

Evolution of GitHub Copilot from autocomplete to agentic peer programmers (Project Padawan, agent mode)Technical, UX, and trust challenges in deploying reliable software development agentsGitHub’s AI engineering process, evaluation methods, and multi-model strategyCompetition, developer experience, and the future tool/agent ecosystemImpact of AI on software development workflows: coding, code review, security, and tech debtOpen source vs proprietary AI models and GitHub’s model catalog approachEconomics of AI assistance: pricing, ROI, and the future value of software and software skills

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