Jon Peck
Technical Advocate & Software Developer
Seattle, Washington, United States
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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
Area of Expertise
Topics
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 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 & Software Developer
Seattle, Washington, United States
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