2025 Schedule
Preliminary Schedule. The schedule is subject to change.
Tuesday, December 16th, 2025
Badge Pick-Up in the Lobby - Light Continental Breakfast Located in the Presidents Gallery
Break - Snacks and Coffee Available in the Presidents Gallery
Graph RAG: Building Smarter Retrieval Workflows with Knowledge Graphs
Retrieval-Augmented Generation (RAG) has unlocked new capabilities for large language models (LLMs) by providing them with external context.
Getting Rid of LeetCode Interviews in the World of AI
AI-fueled innovation is accelerating all around us, but one thing that is not changing are FAANG "leetcode" interviews. Experienced developers continue to be subjected to humiliating puzzles that can be memorized, sinking their time and talent into mindless learning of basic algorithms.
Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale
As AI agents evolve from stateless prompt-response tools into stateful, long-running systems, context - not just compute - becomes the true bottleneck. Yet most architectures today treat context retrieval as an afterthought, bolting vector stores onto LLMs and hoping for the best.
Break
The AI Gateway: Scaling Centralized Inference Across Decentralized Teams
As enterprises adopt AI, one tension has become clear: inference needs to be centralized for efficiency, governance, and reliability, while use cases and model development are necessarily decentralized across teams.
Fine Tuning the Enterprise: Reinforcement Learning in Practice
In this talk, we’ll discuss the Reinforcement Fine Tuning (RFT) platform, allowing you to train OpenAI models to reason better on your specific tasks to arrive at better answers.
Moving Mountains: Migrating Legacy Code in Weeks instead of Years
Recently we've been working on migrating our enterprise reporting application to a modern open-source metrics store. Historically, large-scale legacy migrations have been some of the most challenging projects in software.
Lunch - Buffets Located on the 3rd Floor - Lunch Seating Located on the 3rd & 2nd Floors
The Multi-Agent Approach: Building Reliable and Controllable Software Development Automation
AI-driven development is shifting from autocomplete to continuous, controllable automation across the SDLC. This talk presents a multi-agent architecture where specialized agents collaborate asynchronously — from planning and analysis to testing and code review.
From Generic to Genius: A Pragmatic Guide to Finetuning Embedding Models for RAG
Retrieval-Augmented Generation (RAG) has emerged as a powerful pattern for building LLM-powered applications that can leverage private or domain-specific data.
Taming Agentic AI: Lessons from Streaming Architecture for Scalable, Safe Systems
Agentic AI is everywhere—but deploying it safely and reliably inside production systems is another story. The move from clever demos to autonomous agents that operate within enterprise infrastructure introduces new risks and architectural challenges.
Break
Panel: Scaling AI in Engineering - Driving Alignment, Adoption and Impact
AI is already reshaping software development—but most companies are stuck in pilot mode, unsure how to move from experiments to meaningful transformation. This panel will share practical experiences in adopting and scaling AI across the software development lifecycle.
Chaos Engineering GPU Clusters
We are used to the concepts of fault injection and chaos engineering in normal clusters and web api services. Techniques like node shutdowns, cpu exhaustion, memory leaks, etc. are all easy things to automate in Kubernetes with open source or proprietary tools.
Break - Snacks and Coffee Available in the Presidents Gallery
Building Evals for AI Adoption: From Principles to Practice
As organizations adopt AI at scale, evaluation becomes the backbone of trust, safety, and product readiness. Yet building effective evals is deceptively hard: there is no single metric or benchmark that captures the complexity of user-facing AI systems.
Real Experience Building Agentic Systems
Details coming soon.
Building MCP Servers That Make Agents More Effective
Agents often rely on external tools to help them accomplish their tasks, and external MCP servers are convenient for getting those tools with minimal code.
Break
Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery
Modern AI platforms don’t have to choose between deterministic precision and probabilistic exploration—they need both.
Using AI to Accelerate Traditional ML Pipelines at Duolingo
Details coming soon.
Unconference Session: Brainstorming with Peers
What is Unconference?Unconference sessions are a simple way to run productive meetings for 5 to 2000 or more people, and a powerful way to lead any kind of organization in everyday practice and extraordinary change.
Room 21
Reception - Dry Snacks & Drinks - Located in the Presidents Gallery
Wednesday, December 17th, 2025
Badge Pick-Up in the Lobby - Light Continental Breakfast Located in the Presidents Gallery
Conference Introduction and Keynote:
Deepfakes, Disinformation, and AI Content Are Taking Over the Internet
Break - Snacks and Coffee Available in the Presidents Gallery
Autonomous Data Products for the Autonomous Era: Rethinking Data Architecture for GenAI
As enterprises scale their deployment of Generative AI (Gen AI), a central constraint has come into focus: while large language models and the infrastructure to support them are the focus of intensive investment fueling a remarkable stream of innovation, data management approaches and infra
Platform Teams Enabling AI - MCP/Multi-Agentic Tools Across Linkedin
Discover how LinkedIn is operationalizing AI tools at scale to drive measurable productivity gains across its engineering organization.
Leadership in AI-Assisted Engineering
To realize meaningful returns on AI investments, leadership must take accountability and ownership of establishing best practices, enabling engineers, measuring impact, and ensuring proper guardrails are in place.
Break
AI Native Engineering
Meta is making a big, public bet on AI - and not just in our products. Teams across the company are building new tools to leverage best-in-class models to enhance productivity, quality and understanding.
Postgres for Production Agents: Your Relational Foundation for Enterprise AI
Retrieval Augmented Generation (RAG) is now a fundamental pillar of enterprise AI, moving beyond initial adoption to production-grade applications.
Infusing AI into the DNA of Engineering Organizations
Every engineering leader today is under pressure to “do something with AI.” The challenge is figuring out how to infuse AI into the day-to-day work of teams without falling into hype or overwhelming them with complexity.
Lunch - Buffets Located on the 3rd Floor - Lunch Seating Located on the 3rd & 2nd Floors
From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry
Your production agents already generate rich training data: every interaction is captured in your OTEL traces. This talk shows how to distill that telemetry into datasets to fine-tune Small Language Models (SLMs) and turn the process into a repeatable platform capability.
AI Tooling with MCP Servers
AI agents are moving from toy demos to serious developer tools, and the real power is when you can have them taken action. At Google Cloud, we’ve been building this future through the gcloud MCP, a bridge between AI agents and Cloud APIs.
Building AI Agents for 122 Million Customers: Practical Lessons from Nubank
Scaling autonomous AI agents to serve over 122 million customers introduces significant challenges. This technical talk details the system design patterns and engineering principles employed at Nubank to build and operate production-grade, customer-facing AI agents.
Break
AI Works, Pull Requests Don’t: How AI Is Breaking the SDLC and What To Do About It
This talk will use CircleCI’s adoption of AI agents as a lens for both individual and organizational changes that AI brings. We will first discuss the realities of using AI as an individual engineer, where things work well today, and where tools are lacking.
Rules for Understanding Language Models
After millions of years of evolution, humans understand each other pretty well. But now, confronted with machines that talk, we cannot assume they will act like humans, or act for the same reasons as humans.
From Prototype to Production: Why AI Reliability Is an Implementation Problem
Most AI projects impress in demos but fail in production. While 60% of CIOs expect GenAI workloads by 2025, only a few deliver meaningful results.
Scaling Code Maintenance with AI agents: Resolve CVEs 10x Faster
One of the hardest truths about contemporary software is that it rots: dependencies go out of support, vulnerabilities are announced, and APIs break. Keeping up is a huge burden for software teams, and mostly involves rote work and toil, rather than creativity or deep thought.
Break - Snacks and Coffee Available in the Presidents Gallery
AI Everywhere in Software Engineering
Details coming soon.
Unconference Session: Brainstorming with Peers
What is Unconference?Unconference sessions are a simple way to run productive meetings for 5 to 2000 or more people, and a powerful way to lead any kind of organization in everyday practice and extraordinary change.
Room 21
QCon AI Closing Reception - Dry Snacks & Drinks - Located in the Presidents Gallery
