Presentation: What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents
Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens…
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Presentation: You Can't Trust Your AI Bill. And Neither Can I
Erik Peterson discusses why AI spend is eclipsing cloud bills, triggering a major software engineering cost crisis. He explains tokenmaxxing, unit e…
Presentation: Multi-Agent Patterns from Spotify’s AI Powered Advertising Platform
Pratik Rasam discusses how Spotify Ads Manager runs production-grade multi-agent systems at scale using Google ADK Java. He shares key architectural…
Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balan…
Presentation: Building GenAI Platform at DoorDash
Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning f…
Presentation: From Consumers to Builders: Turning 200 of our Team into Agent Creators in 2 Weeks
Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combi…
Presentation: Adaptive Recommenders in the Real World: Inference, Evals, and System Design
Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She discusses how real-time feedba…
Presentation: The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents
OpenAI’s Vinoth Govindarajan discusses why production AI agents fail beyond model hallucination. Using real-world case studies like OpenClaw, he exp…
Presentation: Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP
Ajay Prakash discusses how LinkedIn overcomes AI agent limitations in large codebases. He explains Contextual Agent Playbooks and Tools - built on M…
Presentation: Decision Models in Agentic Architectures: From Production to Agent Skills
Alex Porcelli discusses the critical gap in enterprise AI: non-deterministic output and lack of accountability in high-stakes decisions. He shares h…
Presentation: From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs
Cassie Shum discusses why knowledge graphs serve as a critical foundation for agentic systems. Moving beyond basic RAG, she explains 4 practical arc…
Presentation: From AI Agent Demo to Production: Automated Testing and Evaluation
Zhou Yu discusses why AI agents stall in demo phase and shares how simulation-driven testing solves compliance and reliability bottlenecks. Learn ho…
Presentation: A Few Predicted Talks From QConAI 2030
Meryem Arik discusses her predictions for software engineering in 2030. She explains how token spend management, parallel agent infrastructure, and…
Presentation: Beyond Prompting: Context Engineering for Production-Grade AI
Ricardo Ferreira discusses moving beyond simple prompt engineering to build production-grade AI applications. He shares practical architectural stra…
Presentation: Architecting the Data Layer for AI Agents: From Transactional Systems to MCP and Semantic Models
Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic logic and non-determinist…
Presentation: Prompt to Prod: Engineering an Autonomous SDLC at Scale
Andrew Swerdlow shares how Roblox scales autonomous software development from prompt to production. He discusses building robust security sandboxes,…
Presentation: SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace
Bruna Pereira explains how DoorDash built a content-agnostic AI moderation platform. She covers replacing costly LLM-only pipelines with a hybrid pa…
Presentation: From Fab To Token - The State Of The Market
Jordan Nanos discusses how semiconductor constraints, data center expansion, and networking bottlenecks impact AI software architecture. Drawing fro…
Presentation: From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash
Sudeep Das shares how DoorDash shifts from legacy one-shot predictions to an agentic recommendation platform. He discusses leveraging language-nativ…
Presentation: Keeping ChatGPT Fast as AI Development Accelerates
Martin Spier explains how agentic workflows dramatically increase code change volume at OpenAI. He discusses the hidden systemic performance costs o…
Presentation: The Five Stages of AI Maturity in Engineering Organizations - Where and Why Teams Get Stuck
Quotient CEO Lizzie Matusov explains why soaring AI spend often fails to improve software delivery. She presents a research-backed AI maturity frame…
QCon AI Boston: Production AI Moves Beyond Prompts to Platforms, Harnesses, and Evals
QCon AI Boston 2026 focused on the operational challenges of deploying AI agents, emphasizing the need for robust production infrastructure. Key the…
Six Sessions at QCon AI Boston 2026 That Take Productionizing AI Seriously
QCon AI Boston 2026 is close to selling out. Six sessions where speakers engage directly with the gap between AI working in a demo and AI working in…