Jon Peck
Technical Advocate & PMM
Seattle, Washington, United States
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Jon Peck is a developer, architect, and advocate with 25+ years of industry experience. He currently leads product marketing at Evinced, focused on accessibility tooling that fits into modern dev workflows rather than fighting them. Previously, he spent nearly six years at GitHub, where he built out the Enterprise Advocacy team in the Americas and worked with everyone from solo maintainers to F500 executives on DevOps, AI adoption, and developer productivity. He's a regular speaker at developer and engineering-leadership conferences, including Google Cloud Next, DeveloperWeek, OSCON, GitHub Galaxy, Nordic APIs, and ODSC. He aims to make technical concepts digestible at every level, from individual contributors to the boardroom.
Area of Expertise
Topics
Shifting Accessibility Left: How AI and MCP Improve the Web for Everyone
Accessibility isn't just a niche concern... it's the unreadable button at 2pm in the sun, the tab-order that lands you three fields from where you expected, the form your grandmother can't submit. Yet a11y today looks a lot like security did a decade ago: quarterly audits arrive long after code ships, defects pile up, and developers get blamed for problems they were never equipped to catch.
Shifting security left fixed that, and AI (especially MCP) can do the same for accessibility. Learn how MCP servers can analyze not just your code but your fully rendered app; surface flaws at dev-time; and ship non-breaking, production-grade fixes as easily-approved PRs in CI/CD.
Apply this across your org, and a11y stops being a recurring concern: it's just fixed. Every shipped product improves, legal and reputational risk drops, and your teams get back the cycles they used to spend on remediation theater.
Unlocking AI-Powered DevOps Within Your Organization
"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."
Real-world MCPs in GitHub Copilot Agent Mode
As developers, we don't spend most of our time vibe-coding prototypes. More often, we're adding features, squashing bugs, and building tests for existing apps across a wide variety of services and technologies. Come learn how MCPs help GitHub Copilot to untangle real engineering problems. By allowing agent mode to securely work with data sources, testing tools, infrastructure providers, and even core DevOps tooling -- we can go beyond the hype, and solve the actual engineering problems we face every day.
Collaborating with Agents in your Software Development Workflow
GitHub Copilot's agentic capabilities enhance its ability to act as a peer programmer. From the IDE to the repository, Copilot can generate code, run tests, and perform tasks like creating pull requests using Model Context Protocol (MCP). This instructor-led lab will guide you through using agent capabilities on both the client and the server: Key takeaways include:
Understanding how to bring agents into your software development workflow
Identifying scenarios where agents can be most impactful, as well as tips and tricks to provide the right context to lead to success
Discovering how Model Context Protocol provides access to an additional set of external tools and capabilities that the agent can use
Recommended practices to accelerate your development while maintaining code quality.
Unlocking AI-powered DevOps within your organization
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.
Day in the Life of an AI-Powered GitHub Engineer
AI is all the buzz, but what does this mean for engineers on a daily basis? Predictive coding tools are only the beginning: successful teams use AI throughout their stack: from inception to collaboration, to testing and beyond. Get an insider's view of the tools and techniques that GitHub developers, project managers, testers, security engineers, and even salespeople use every day -- plus a sneak peek at some of the latest innovations and the future roadmap of our industry.
Securing and Accelerating the Software Factory: Have Your Cake and Eat It Too
Half of companies choose velocity over security, but these don’t need to be opposing options. By combining a developer-first approach to eliminating vulnerabilities with a collaborative, AI-powered DevOps toolchain, we can:
- double development velocity
- quarter remediation times
- increase developer happiness by 75%
CTO, CISO, security & dev leads — this is one for you all to join together.
What is Modern DevOps?
Cloud or on-prem? Single-platform or blended architecture? Rapid deployments or secure deployments? These are a just few of the questions developers wrestle with on a daily basis, and boilerplate solutions do not work for all companies. Today we'll examine a variety of different ways to begin modernizing and accelerating your development workflows.
Building community among your developers: collaboration, belonging, and excellence
How can you create a sense of belonging among your developers? Bringing together research on employee culture and platform capabilities, we will discuss strategies to create an incredible developer experience and why it matters to the bottom line. Key topics include deepening developer networks, celebrating force-multiplying work, and creating developer agency.
Abusing your CI/CD: running abstract Machine Learning frameworks inside GitHub Actions
We all love the conventional uses of CI/CD platforms, from automating unit tests to multi-cloud service deployment. But most CI/CD tools are abstract code execution engines, meaning that we can also leverage them to do non-deployment-related tasks. In this session, we'll explore how GitHub Actions can be used to train a machine learning model, then run predictions in response to file commits, enabling an untrained end-user to predict the value of their home by simply editing a text file. As a bonus, we'll leverage Apple's CoreML framework, which normally only runs in an OSX or iOS environment, without ever requiring the developer to lay their hands on an Apple device.
Securing the Software Factory
Despite billions spent annually on security, apps aren’t getting more secure over time: every line of code written today has the same risk of introducing a vulnerability as it did in 2016. Half of developers aren't trained to code securely, and half of companies choose velocity over security. Why is that even a choice? Learn how putting security right into the hands of developers eases the burden on everyone, giving devs peace-of-mind while radically improving remediation rates.
Scaling your Team with Collaborative ML Development
You've learned how to scale ML pipelines... but can you scale your team? From model-building to release, your AI projects involve a wide variety of roles: data scientists, app developers, test & release engineers... and they all need to work together safely and smoothly. Learn how GitHub combines config-as-code, centrally versioned notebooks, cloud IDEs, and PR-time model evaluation to collaboratively build and deploy ML.
DeveloperWeek 2025 Sessionize Event
DeveloperWeek Latin America 2023 Sessionize Event
AI DevWorld 2020 Sessionize Event
DeveloperWeek Global Series 2020-2021 Sessionize Event
DeveloperWeek Seattle: Cloud Edition 2020 Sessionize Event
DeveloperWeek Global 2020 Sessionize Event
Jon Peck
Technical Advocate & PMM
Seattle, Washington, United States
Actions
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