GitHub Copilot Dev Days - Dallas

Important: RSVP on the external event website is required for admission.

Description:
Join us for a community-led developer event focused on AI-assisted coding with GitHub Copilot. This event brings together developers to explore practical workflows, real-world use cases, and hands-on experiences using GitHub Copilot.
Whether you are new to GitHub Copilot or already using it, this event will help you better understand how to apply AI-assisted coding techniques in everyday development.

Agenda:
* 5:30pm~6:00pm: Checkin, Food/drink and networking
* 6:00pm~6:10pm: Welcome/community update
* 6:10pm~7:30pm: Tech talks and Q&A
* 7:30pm~8:30pm: Open discussion and Mixer

Tech Talk: Prompt-as-Code: Architecting Collaborative AI with GitHub Copilot’s Instruction Layers
Speaker: Rishab Kumar (Staff Developer Evangelist at Twilio, co-founder of Learn to Cloud, GitHub Star)
Abstract:
This session, perfect for Senior Developers and Architects, introduces Prompt Layering and Instruction Layering Patterns: a set of architectural principles that elevate AI instructions from transient chat inputs to first-class, version-controlled assets. We will detail the four-layer structure (Organization, User, Repository, Path-Specific) and provide a hands-on walkthrough using VS Code and GitHub Copilot.
You will learn to codify your team's architecture, security policies, and best practices using .github/copilot-instructions.md and reusable .prompt.md files. We will cover the proven ROI, including 56% time reduction in code explanation and a 16% throughput increase. Finally, we'll address critical Responsible AI challenges, noting that 6.4% of Copilot-active repositories leaked at least one secret and define clear policies on what data must NEVER be included in shared prompt files.

Tech Talk: What AI Still Can't Do for Product Managers
Speaker: Srivatsav Gopinath (ExcelHire)
Abstract: In this session, I will discuss where AI genuinely accelerates product work — signal synthesis, assumption tracking, prioritization — and where it creates dangerous blind spots: hallucinated roadmaps, decontextualized decisions, and LLM reasoning failures in ambiguous product scenarios. Grounded in current research and real-world systems I've built and shipped.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 5,000+ AI developers in Dallas or 500K+ worldwide.