Shifra Williams

Shifra Williams is a Developer Relations Engineer at Render, where her work spans technical education, community building, and a growing bet: making cloud infrastructure legible to AI agents, not just humans. Her background in data science, technical writing, and developer advocacy lets her meet both technical and early-career audiences where they are. What drives Shifra most is closing the gap between technical experts and the people trying to learn from them, and building the bridges that make that knowledge transfer actually work.

Render, USAho1yshif shifra-williams

Building for Agent Experience

TechLead Conf Amsterdam 2026: Adopting AI in Orgs Edition

Upcoming

Building for Agent Experience

Every cloud platform was designed for developers: humans who read docs, click dashboards, and push to git. But AI agents are already using these platforms, and they experience them very differently. At Render, we've watched agents parse our marketing pages, struggle with our APIs, and surface (or not surface) our platform in LLM recommendations. Building our MCP server, CLI, and agent skills meant designing for two users at once, and rethinking what "developer experience" even means when the developer isn't human. This talk distills what we learned: where our assumptions failed, what we changed in response, and the concrete principles engineering leaders can apply to build tools, docs, and APIs that serve both humans and AI agents.

artificial intelligence

Ship a Production Voice Agent: A Hands-on Workshop

AI Coding Summit 2026

49 min

Ship a Production Voice Agent: A Hands-on Workshop

WorkshopFree

Ready to bring conversational AI to life? In this hands-on workshop, we'll walk through deploying a real-time voice agent using Render's cloud platform. You'll work directly with LiveKit's voice agent template to create an interactive AI assistant that can listen, think, and respond naturally through voice.You'll discover:How to set up and configure a LiveKit voice agent using Render's deployment templateThe architecture behind real-time voice AI systems and how different components work togetherBest practices for managing environment variables, API keys, and cloud service integrationsTechniques for testing and debugging your deployed voice agent in productionStrategies for monitoring performance and scaling your AI application as usage growsBy the end of this workshop, you'll have a fully functional voice agent running in the cloud, ready to handle real conversations. You'll gain practical experience with modern AI deployment tools and understand the complete pipeline from template to production.This workshop is ideal for developers interested in conversational AI, engineers looking to add voice capabilities to their applications, and anyone curious about deploying real-time AI systems without getting lost in infrastructure complexity.

web apps

Deploy Your AI Code in Minutes

AI Coding Summit 2026

7 min

Deploy Your AI Code in Minutes

Ever wondered how to take your AI-generated Replit code and deploy it to production? This step-by-step tutorial shows you exactly how to deploy a Replit landing page to Render's production environment in minutes.What you'll see:Generate a production-ready landing page using Replit AIDeploy to Render with proper build configurations

artificial intelligence