AI Native Roadtrip - Austin TX
The AI Native Dev Community is going on a roadtrip!
AI is transforming software development and we’re excited (and curious!) about what comes next.
Are you building software with AI, perhaps using agentic workflows?
Or building tools that build software with AI?
To start answering these questions, we’re hitting the road this fall to connect with builders, founders, and developers shaping the future of AI-native development.
Each stop is an evening of lightning talks, real-world demos, and candid conversations about what it really takes to build with AI today.
🙌 Big thanks to Cloudflare for hosting, and shout-out to our amazing partners AI Collective and Tessl for helping make the magic happen!
Program
6:00pm – Doors open
6:30pm - Kick off and message from our partners
6:45pm – Talks (~3 × 20 min)
Spec Driven Development: Why your prompt chaos won’t scale - Macey Baker
Bots that don't suck: How to use agents that help you write code - Amir Shevat
Securing AI-native Commerce Without Breaking the Cart - James Wickett & Adam Dyche
8pm – Networking
9pm – Wrap-up
This session introduces Spec Driven Development (SDD) for AI coding, replacing ad-hoc prompts with human-readable specifications to improve code reliability, collaboration, and adaptability. Real-world examples show how SDD enables scalable, testable AI development, addresses challenges like spec drift, and supports smoother iteration and teamwork beyond freestyle prompting.
Macey Baker - Community Engineer at Tessl
As Tessl's Founding Community Engineer, Macey Baker is busy helping to build the future of AI-native development (and helping you build it too). Now an AI code generation obsessive, she got her start as an early employee at tech unicorn Intercom in San Francisco, before jumping the pond and roaming the London startup scene, working primarily in big data / ML houses. Some of her best friends are LLMs.
We’ve all seen bots that promise to write code for us, and then hallucinate, or generate something unusable. But it doesn’t have to be that way. In this talk, we’ll cut through the hype and promise, exploring how you can make best use of agents, grounded in real-world context to build working applications. If you’re curious about how to separate the bots that suck from the ones that actually help you ship, this session is for you.
Amir Shevat is a General Partner at Darkmode Ventures. Previously Amir held executive roles at Google, Microsoft, Slack, Amazon, and Twitter. Amir is the author of two books “Designing Bots” and “Designing Web APIs” both published with O'Reilly media.
AI agents are shopping, checking out, and moving money…fast. Adam Dyche (Commerce) and James Wickett (DryRun Security) will show how the OWASP LLM Top 10 applies to agentic checkout, from prompt injection in product reviews to excessive agency across tools. It'll cover risks relevant to consider for any LLM application, as well as the architectural, process, and technical options.
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