

Daytona & Descope AI Builders - SF, January 2026 @Github
βAn event dedicated to exploring all things AI Engineering!
βEvent partner: Descope
βAgenda
βββββπ 5:30 pm β 5:40 pm
Welcome and Opening Remarks
βπ€ ββββAsako Hayase, Pacer, Community Ambassador at Daytona
ββββββπ 5:40 pm - 6:00 pm
Keynote "Auth Best Practices for AI Agents and MCP Servers"
ββπ€ Kevin Gao, Head of DevRel at Descope
βββOutline:
βEvery organization has an agentic AI / MCP project, but how many of these are in production? And if they aren't in production, how likely is it that authentication, access control, and agentic identity concerns are the reason? In this session, Descope's Head of DevRel Kevin Gao will share real-world MCP use cases, common agentic identity challenges, and practical identity tips to secure AI agents and MCP servers.
βπ 6:00 pm - 6:20 pm
Keynote "Running AI coding agents in cloud sandboxes"β
ββββπ€ James Murdza, Pacer, Community Ambassador at Daytona
ββββββOutline:
ββββClaude Code, Codex, OpenCode are three of the top CLI-based coding agents today. We can make coding agents more powerful with cloud sandboxesβadding safety, scalability and repeatability. James will give demos of these agents running in the cloud and walk through the technical details.
ββπ 6:20 pm - 6:30 pm
Lightning Talk "Claude wants some guardrails"
ββπ€ James Cowling, Co-founder and CTO of Convex
βββOutline:
βProgramming is dying. Engineering is in more demand than ever before. Gemini isn't going to build Google no matter how many tokens you give it - the limited resource in the software industry is design and architecture. We'll talk about what kind of architectural guardrails can be used so that LLMs produce not just good code but good systems, that can scale, can be maintained, and can be understood by engineering teams.
ββπ 6:30 pm - 6:40 pm
Lightning Talk "Space Machine Sandboxes"
ββπ€ Kwindla Hultman Kramer, Co-Founder & CEO of Daily
βββOutline:
βWe've built a new kind of LLM-powered, multi-user space exploration and trading game as an experiment in what future software might look like. The game has a conversational voice interface and a dynamic UI generated on the fly by an LLM. The core gameplay mechanics are implemented with long-running agents that perform a variety of tasks for users and in the background of the game. In this talk, we'll show how we use sandboxes to make the game flexible and hackable.
ββπ 6:40 pm - 6:50 pm
Lightning Talk "Building Stateful, Agentic Data Systems for Vibe Analytics"
ββπ€ Lei Tang, Cofounder & CTO of Fabi.ai
βββOutline:
βVibe analytics is long-running, iterative, conversational data analysis with AI in the loop. Making this reliable is fundamentally an engineering problem. The core design principle is code-first agents. Agents should take actions and manipulate products the way humans doβby writing and executing code. Agent behavior is therefore compiled into executable code, enabling validation, caching, and reproducibility.
β- Agentic flow and context engineering: Agents operate as constrained collaborators with explicit tools, permissions, and dry-run validation. We explore how to structure analytical context across data sources, intermediate results, and user intent, and how to trade off between RAG, token limits, and prompt caching to optimize correctness and user experience.
β- Stateful, sandboxed execution with smart caching: Analysis runs in isolated, containerized environments with persisted variable state across iterations. Caching is driven by code structure and data dependenciesβnot chat turnsβenabling fast iteration without unsafe re-execution or unnecessary warehouse queries.
ββπ 6:50 pm - 7:00 pm
Lightning Talk "An Introduction to Prompt Optimization with GEPA"
ββπ€ Sherwood Callaway, Founder & CEO at Stealth Dev Tools Startup
βββOutline:
βPrompt optimization is usually messy: tweak a sentence, rerun a few examples, repeat. This talk shows a more systematic way to do it. I'll introduce GEPA, a technique for improving prompts using feedback from evals, and walk through how we applied it internally to a complex LLM system without changing models or sharing product details. You'll leave with a practical way to think about prompt optimization as an engineering problem, not a guessing game.
βπ 7:00 pm - 8:30 pm
ββNetworking
βWith pizzas and beverages
ββ____________________________
ββAbout event
βThis is dynamic gathering for AI enthusiasts, innovators, and professionals to collaborate, share ideas, and explore the latest advancements in artificial intelligence. Whether you're building AI products, researching cutting-edge algorithms, or simply passionate about the field, join us to connect, learn, and drive the future of AI forward.