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AI Coding Summit 2026

AI engineers, platform engineers, developer experience engineers, frontend developers, security engineers, engineering managers

agent orchestration patterns; Claude Code advanced techniques; Cursor cloud agents integration; model quantization and compression; vLLM and SafeTensors tooling; sandboxed dev environments for agents; security for AI-generated code; browser extensions as distributed systems; voice agent development and deployment; AI-assisted code review workflows; spec-driven development for agents; deploying AI code to production

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How I Build Web Applications in 2026Kent C. Dodds32m
Claim: individual contributors shift into AI Agent Manager roles, directing agent loops not just writing prompts. Demonstrated result: an offline video…
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Build Your Team's Automation Layer: The AI Glue Agent PatternShubhlink
Learn an architectural pattern to automate "glue work" and build self-executing workflows. This talk will demonstrate how to use "collaboration planes" with…
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Agentic by Default: Rethinking Developer Workflows with Claude CodeAdo Kukiclink
AI coding tools work best when they can plan, act, and iterate - not just respond. This talk covers patterns for building autonomous workflows across the…
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When Less Is More: A Technical Overview of LLMs and the Strength of Smaller ModelsLegare Kerrison11m
Claims concrete: quantizing FP16 to INT4 via LLM Compressor halves inference time (example: 4s → 2s) while keeping 99% accuracy, and distillation plus sparsity…
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AgentCraft: Putting the Orc in Agent OrchestrationIdo Salomon10m
Claims an RTS mental model cuts cognitive overload so agent fleets scale toward a hundred units, and demonstrates a working prototype AgentCraft that runs…
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The Ralph Wiggum Method ExplainedEddy Vincklink
As you might know, the "Ralph Wiggum" loop has been generating quite a bit of hype online amongst developers. It's a concept that wraps an AI coding agent in…
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Making AI Coding Work for Enterprise-Grade Browser ExtensionsTodd Schiller10m
Defines browser extensions as Distributed Systems in a Box and prescribes four concrete practices: pick a foundation (WXT vs Plasmo or PixieBrix), put 90% of…
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How to Help Agents RememberCarly Richmondlink
LLMs need access to the relevant context to succeed. One key element of Context Engineering that we can use to help agents remember is Memory. Let's dive into…
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Designing Sandboxed Dev Environments for Coding AgentsNaresh Rameshlink
Coding agents have crossed the threshold of solving non-trivial problems alongside engineers, as well as running autonomously in many ways. Their most…
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Voice Agents Crash CourseStepan Suvorovlink
A practical crash course for developers who want to skip weeks of research and get straight to building. We'll cover the essential terminology, current…
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Spec Driven Development: The End of Vibe CodingDaniel Sogllink
Developers now create entire applications by simply chatting with AI tools. More and more startups rely on predominantly AI-generated code. But what initially…
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Metrics That Actually Matter: Evaluating AI Agents Beyond Success RateJohn Robertlink
This talk challenges the overreliance on success rate and introduces a more practical and safety-aware framework for evaluating AI agents. Drawing from real…
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Scaling AI Agents for Production Codebases: Patterns for Accuracy and EfficiencySaurabh Dahallink
As codebases grow, AI coding assistants struggle. Context windows overflow, agents lose track of dependencies, and simple text search fails to capture the…
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Why Software Engineering Is Becoming: Plan and ReviewLouis Knight-Webblink
Code generation scales. Planning and review don't, limiting how fast AI-native teams can ship. This talk traces the evolution of developer tooling to the…
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From Prompt Spaghetti to Bounded Contexts: DDD for Agentic CodebasesNikita Golovkolink
This presentation shows how Domain-Driven Design (DDD) turns agentic coding from “prompt spaghetti” into a maintainable engineering approach. Instead of one…
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Your AI Code Reviews Are Missing the Point (And How to Fix It)Yishai Beerilink
AI code reviews often feel like tossing a coin. Heads - you get endless nitpicks about style. Tails - it finds real issues. And even when the signal is good…
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Beyond Vibe Coding: Differentiated Workflows with AntigravityAlex Astrum, Rody Davislink
As 2026 brings a shift from feature parity to differentiated feature sets, Antigravity offers a distinct approach to building software. This session dives into…
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Security Pitfalls in AI-Generated Code: What Happens When Developers Skip ReviewKristiyan Velkovlink
AI speeds up development — but it also introduces silent vulnerabilities. This talk exposes the hidden security risks of unreviewed AI-generated code and shows…
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MCPs: How to Avoid Security PitfallsGil Friedmanlink
MCP (Model Context Protocol) has quickly become a standard way to extend LLM functionality in AI-assisted and vibe coding, and developers are early adopters of…
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Your New JobKen Wheelerlink
This talk will explore the ongoing fundamental transformation of the role of software developers. It will provide guidance on succeeding in this new rapidly…
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Real AI-Native Development: From Prompt to ProductionMaxim Salnikov, Carly Richmond, Kristiyan Velkov, Alex Astrum, Ado Kukic, Nikita Golovko
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Claude vs Cursor vs Copilot: Who Really Helps?Sergey Berezhnoy, Kristiyan Velkov, Mike Mikula, Alex Astrum, Nikita Golovko
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Advanced Claude Code Techniques for 2026Cole Medinlink
Welcome to the AI Coding Summit workshop focusing on strategies for using AI Coding Assistants effectively. Emphasizing the creation of an AI layer within your…
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Advanced Cursor Techniques for Building Fullstack AppsMike Mikulalink
Mike McCullough discussed building full-stack apps with Cursor, emphasizing skills, sub-agents, and hooks. Project rules and guidelines were highlighted for…
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Model Context Protocol (MCP) Deep Dive: 2-Hour Interactive WorkshopStepan Suvorovlink
CTO Stepan Savoro emphasizes understanding problems solved by MCP. Entropic provides open-sourced MCP for agentic communication. Overview of MCP architecture…
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Building with Gemini: AI Studio, Antigravity, and Google DeepMind's Latest ModelsPaige Baileylink
Paige from DeepMind presents new software tools and models like Embeddings 2.0, Nano Banana 2, Lyria 3, Genie 3, Gemini 3.1 Pro, and Flashlight. Projects…
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Building AI Co-Worker with Codex SDKRudrank Riyamlink
The workshop covered topics such as using a Mac Mini for AI development, GPT 5.3 improvements, working with the Codex SDK, configuring codecs clients…
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Hands-On Guide to Secure AI-Driven CodingGil Friedmanlink
Excited about AI components in web coding, discussing AI models, agents like cursor, cloud code, MCPs, AI rules, skills, plugins, and CP for web applications…
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Using Sandboxes to Safely Execute Untrusted or Dynamic CodeCraig Dennislink
Workshop on Thinking in Sandboxes and evolving AI coding practices. Exploring the power and benefits of sandboxes for app development and code execution…
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Build Your Dream Extensions with AIBrittany Joinerlink
Today, we discuss building extensions with AI, offering hands-on examples and customization. Explore the benefits of browser extensions for seamless tool…
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"Hello World" on OpenShift AI: Training Your First Neural NetworkLegare Kerrison, Sawyer Bowermanlink
Sawyer, AI developer at Red Hat, introduces a workshop on OpenShift AI focusing on neural networks and hands-on training. Training and deploying models in…
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Ship a Production Voice Agent: A Hands-on WorkshopShifra Williamslink
The workshop introduces Render and Rhyme, showcasing their capabilities for hosting and deploying apps with a focus on AI applications. It delves into voice…
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Deploy Your AI Code in MinutesShifra Williamslink
Shifra guides the migration of a Repl.it app to Render with emphasis on simplicity and mock data. Ensure Render deployment requirements are met, including…
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