Angie Jones
VP Engineering, AI Tools & Enablement
New Orleans, Louisiana, United States
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Angie Jones is the VP Engineering, AI Tools & Enablement at Block, Inc. An award-winning educator and international keynote speaker, Angie shares her expertise with audiences at software companies and conferences around the globe.
As a Master Inventor, Angie is celebrated for her innovative and creative thinking, which has led to over 25 patented inventions in fields such as metaverses, collaboration software, social networking, smarter planet technologies, and software development processes.
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Topics
Skill Issue: Why Your AI Agent Still Sucks
A quest for your AI agent: "quickly ship a feature to production, make no mistakes!"
Within minutes, your agent is cooking. Writing code, opening pull requests, confidently suggesting architectural improvements... but it has absolutely no idea what "ship to production" actually means for your team and what exactly goes into that.
Instead of hoping the model magically figures it out, let’s turn your agent into a far more capable developer by giving it skills.
In this talk, we’ll follow the journey of shipping a feature and identify teachable moments to codify into skills, turning AI agents into specialized members of the team.
Along the way, we’ll unpack what agent skills actually are, how to design effective skills, how skills work with tools like MCPs, APIs, and CLIs, and how teams can organize and share skills.
MCP Mashups: How AI Agents are Reviving the Programmable Web
Remember the Mashup Era where developers mixed and matched APIs from different vendors to create new services?
This was such an exciting time for developers. APIs like Google Maps, Twitter, and Flickr gave developers access to data they could use to create interactive user experiences that were simply delightful. However, the excitement eventually fizzled as developers realized they had to maintain these applications which were often just fun side projects.
Now, 20 years later, that excitement and curiosity has returned with the introduction of AI Agents. With the MCP (Model Context Protocol) open standard, developers can integrate data and functionality from multiple services without the burden of maintaining full systems. By connecting AI agents to various APIs, resources, and data sources, we get quick modern-day mashups.
In this talk, we’ll explore how AI Agents are bringing fun and creativity back to software development and giving new life to the “programmable web”.
Beyond Code Generation: Getting Real Work Done with AI Agents
AI tools can write code now. Cool. But what about everything else? Triaging issues, writing tests, opening PRs, updating docs. That's the stuff we should be delegating to AI.
In this talk, I'll show you what happens when agents step out of the IDE and actually start doing work. No flashy prompts. Just practical, repeatable workflows where agents take real action across environments and tools, and even collaborate with other agents and models to get complex tasks done faster.
If you're using AI to help you write code, great. Now let it help you ship.
Building an Autonomous Engineering Org
Nearly every enterprise company has a mandate to convert its existing engineering org into an autonomous one.
Buying the frontier models and tools is not enough. Everything about how we deliver software must change: from design, to development, to deployment.
In this talk, I’ll walk you through the journey of transitioning traditional software engineers into agentic ones, the systems and processes required for their success, and the new challenges agentic engineering introduces for large enterprise companies.
The Maintainer's Dilemma: Ban AI or Build for It
AI has made it easier than ever to contribute to your favorite open source projects. Maintainers are getting more contributions than ever before. Sounds like a dream, right?
It’s not.
The volume is overwhelming, and the quality of the PRs is not up to par. So frustrating, in fact, that a growing number of projects are responding with “No AI contributions” rules, and some are shutting down contributions altogether.
That reaction is understandable. But it is also a mistake.
AI is changing how people develop software, and therefore how they contribute to your project. You can’t stop the wave. So you might as well learn how to surf.
This talk is a practical guide to prepare open source maintainers to handle that shift.
I’ll cover how to improve your repo readiness so contributors using AI can navigate your project and write code that meets your standards. I’ll also share how you can use AI yourself to triage issues and PRs without burning out.
As a maintainer of a project with 400+ contributors, I’ve learned to stop fighting and instead embrace the shift. The result is a stronger, more active community where more people get to experience the joy of contributing to open source.
Angie Jones
VP Engineering, AI Tools & Enablement
New Orleans, Louisiana, United States
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