9:00 AM - 5:00 PMEngineering leadershipIntermediate
Building High-Performance Teams – Guided by Psychology
Psychological safety. Team intelligence. High performance. These concepts dominate today’s management discourse, yet few practitioners understand how to rigorously assess whether their teams actually possess these qualities, or how to systematically develop…
This workshop helps teams understand what makes a product truly AI-native and how to decide which AI opportunities are worth building. The session goes beyond adding a chatbot or automation to a…
Success Metrics with and without AI: A Playbook for Product Managers
This workshop is designed to equip product managers with a flexible playbook for identifying success metrics and leading indicators that truly drive product and business outcomes. We’ll adapt and “mis-use” familiar metric-building…
Beyond RAG: From Demo to Production-Grade Context Blocks
Build a real Context Block, learn the advanced context-engineering skills rarely covered in depth — typed ontologies, evals for context, governance, self-evolving — and leave with a repeatable method you can apply…
The workshop introduces the difference between AI-enabled and AI-native products, and explores how probabilistic AI changes traditional UX and product strategy. Participants work through a fictional fintech case in small product squads…
Human-in-the-Loop Is You: Orchestrating Multiple Coding Agents
“Human-in-the-loop” is supposed to mean a person makes the judgment calls a model can’t. In practice, with Claude Code, Codex, and Cursor all open at once, it usually means something dumber: copy-pasting…
An Introduction to Inclusive Design Sprints at Microsoft
Learn how to apply the Microsoft Inclusive Design process to your own work through practical, real-world strategies for running inclusive design sprints. This workshop focuses on co-creation with people with disabilities, sharing…
Feeding massive amounts of data into an LLM does not magically create an agent that understands your environment. Passive retrieval, like standard RAG, often breaks down when dealing with complex, time-sensitive enterprise…
Why Agentic Systems Need Guardrails: The Case for Ontologies
Agentic systems fail in predictable ways. A second refund on the same order. A payout sent to the support desk instead of the buyer. An order status of “probably shipped.” These aren’t…
From AI Innovation to Revenue: Rethinking Software Monetization
AI innovation is everywhere—but turning it into profitable growth is much harder. As software evolves from helping people do their jobs to increasingly performing tasks autonomously, companies need to rethink not only…
Why We’ve Tried to Replace Data Analytics Developers Every Decade Since 1974
Since 1974, new tools have promised to replace the data developer. From SQL to Self-Service BI, and now Generative AI, the dream is always the same: let business users get answers automatically.…
Architecting the Data Layer for AI Agents: From Transactional Systems to MCP and Semantic Models
Most conversations about production AI agents focus on the agent itself — the prompts, the orchestration, the framework. But the moment you put an agent in front of real enterprise data, a…
Have a PINT: The Psychometrics of High-Performing Teams
Why do teams stacked with talent still fall apart under pressure, while teams with modest resources somehow execute like clockwork? Most answers to that question are borrowed from motivational speakers and management…
In Defense of Slow Work: Developing Craft and Taste as Design Skills
Conventional wisdom says beauty is in the eye of the beholder… so, did the elders lie, or is there no objectively good design? Well, when you encounter a beautifully crafted product, you…
“You Can’t Just Turn It On”: The Hidden Work Behind Enterprise AI
Everyone wants to turn on AI features . Then Legal walks into the room and says no. The question we will answer is WHY? Enterprise AI comes with questions about data, permissions,…
AI, Anxiety, and Actual Impact: Leading Design Teams Through the AI Era
As AI hype collides with workplace realities, design leaders face a threefold challenge: managing executive expectations fueled by LinkedIn headlines and pithy X posts, calming teams worried about being replaced, and figuring…
Your AI Agent Doesn’t Need a Smarter Model — It Needs to Know Your Domain
Every talk this year is about making AI agents do more — write more code, take more actions, run more autonomously. Yet many enterprise AI pilots still fail to deliver production value,…
From Feed to Friend: The Emotional Architecture of AI
AI did not suddenly become emotional once it learned how to have a conversation. Recommender systems have shaped a range of feelings from FOMO to belonging to outrage. Now generative AI systems…
Do Not Trust the Process: Critical Conditions and Relational Capacities in an Era of Uncertainty and Volatility
This talk explores why our current paradigms and the underlying logics of dominant worldviews cannot cope with the compounding crises of our time – nor can the rigid, linear processes that keep…
AI Data Context: A data expert at every collaborator’s side
Our north star: a data expert at every collaborator’s side. A PM, a CSM, a GTM analyst, a marketer — anyone — should be able to get an analyst’s answer whenever they…
AI everywhere. Companies hustling not to stay behind. However, things are not as easy as we are usually told if we want to leverage the power of AI successfully. In this session,…
Closing the loop: the journey towards AI systems that improve themselves
Building a robust production AI system today means orchestrating hundreds of agents, tools, and prompts. So when something breaks or when you try to improve the system, an eval that verifies a…
A year ago, PFF had a ChatGPT subscription. That was it. Today we’ve achieved 10x developer output and built more in the last six months than we did in the previous two…
Claude Code isn’t going to replace data engineers (yet)
AI will not replace data engineers tomorrow. But it is already changing how we work — including, occasionally, helping us do stupid things with more confidence. Used badly, AI will make us…
Digital Craftsmanship for the Disabled — Fit, Flow, and Fidelity for Everyone
Craftsmanship is the fundamentals of quality. This talk presents a practical framework—Fit, Flow, Fidelity—that helps product teams deliver digital experiences that work for real people across diverse bodies, minds, and contexts. ⁜ Fit…
Doubling engineering throughput with AI: scaling agentic engineering across an org
In 2025, Fin (formerly Intercom) took on an ambitious goal: double the throughput of its engineering team, not by building fancy demos, but by using AI agents to get real features, built…
Presence Without Performance: The Human Advantage in the Age of AI
As AI rapidly reshapes the way we build products, lead teams, and make decisions, many organisations are becoming faster, but not necessarily wiser. In the rush toward optimisation, automation, and scale, something…
A movie-inspired guide to visionary product design
This talk explores the often-neglected superpower of product design: vision. Not just strategy decks or north star flows, but emotionally charged, speculative, team-energising visionary ideas and thinking, the kind that lifts teams…
Building a Software Dark Factory with Agentic Engineering
At GitGuardian, 80 to 90% of our code is now written by AI. We’re building towards what we call a “dark factory”: systems that take a well-written spec and ship a working…
Beyond the Monolith: Designing an Event-Driven Platform Across Continents
What happens when a successful monolith needs to evolve into a platform capable of serving users across continents? This talk follows the transformation from a region-bound, synchronously connected architecture toward an event-driven…
As AI coding tools evolve from session-based assistants into always-on agents, the role of the engineer is changing. In this talk, Emilie Schario explores what it means to build software with agents…
Your Vision Model Is Biased: Lessons From Shipping Real-Time Video Detection
We put students in front of a webcam to protect the integrity of remote standardized tests. Then our production pipeline started flagging kids for phone use while they drank from a water…
Connected devices such as routers, cameras, sensors and industrial controllers run embedded software (firmware) that is often overlooked but can create major risks across software supply chains. Studying firmware involves extracting and…
Transparent recruiting: a better way to hire people
The hiring market has flipped. After years of frenzied growth, tech is now defined by mass layoffs, cautious headcount, hiring freezes, and hundreds of applicants for every role. Hiring cycles have grown…
Software vs People vs AI Agents — Pricing, Security, UX
We’re in the middle of a shift: companies are buying AI agents, vendors are selling them, but the rules are still unclear. Pricing models range from tokens to subscriptions to outcomes—each with…
Most Engineering Interviews Are Broken: Here’s What Actually Matters Now
AI has transformed how engineers work, but most hiring processes haven’t kept up. Candidates now enter interviews with AI tools that can generate code and refine system designs in seconds, yet many…
These days, everyone is talking about Agentic AI and how to create entirely new apps with just a few prompts. We are living the AI hype. I’ve stopped counting how many apps…
In my experience building products at companies like Google, Spotify, and Microsoft, I’ve learned one powerful truth: the most loved products aren’t just useful—they’re emotionally resonant. They spark joy, create meaningful connections,…
How do we future-proof not only our careers but also our products and business models in the age of AI? Mirela explores the shift from simply using LLM to speed up PM…
Everyone’s a Developer Now. Or Are They? – Real stories from product teams in the AI transition
Everyone is talking about AI adoption. Few are being honest about what it actually looks like inside a real product team. This talk is built on firsthand interviews with product leaders at…
Diary studies and the potential to capture decisions as they happen
As an online grocery store, we often wonder what happens in the exact moments people make a decision. What makes you spontaneously add something to the shopping cart? Why do you decide…
From Chatbots to AI-Native Apps: Building Agentic Memory with Lakebase
The shift from simple chatbots to autonomous agents requires more than just better prompts; it requires Agentic Memory. While standard RAG provides a snapshot of data, true AI-native apps need a persistent,…
Parallel programming can be intimidating, but doesn’t need to be! Tile-based programming models make GPU parallelism more newcomer-friendly, highly productive, and still fast by letting you write sequential, array-centric code while the…
Building a data context layer to fix your AI analytics
Agents are now consumers of your data stack, and unlike analysts they never pause to ask whether a metric is accurate or still relevant. How do you make your data platform robust?…
This session explores the unique challenges of designing speech interfaces for in-vehicle use, focusing on drivers’ specific cognitive needs compared to other users. It examines key use cases, along with the syntactic…
Conversational AIConversational User ExperienceLLMSpeech Interfaces