2026 Schedule
Schedule subject to change.
Find out more about social events and sign up for peer-sharing opportunities at QCon. Learn more.
Don't forget to check the ETA requirements for entering the UK.
Learn more.
Beginner
For those learning about a topic for the first time or looking to gain foundational knowledge before starting a project. For these presentations, you will walk away with a conceptual understanding, knowledge of basic tools, and/or the first steps required to try it out.
Intermediate
Sessions for those actively working with the technology daily and who want to improve their efficiency, testing, and/or application of best practices. In these sessions, you may learn concrete code examples, testing strategies, common pitfalls, and/or methods to solve medium-complexity problems.
Advanced
For the attendees who are actively designing or leading projects with a particular technology and want to understand complex trade-offs, scalability, and integration challenges. These sessions may allow you to gain unique, production-tested insights, architectural patterns, performance optimization tips, and/or analysis of design trade-offs.
Monday, March 16th, 2026
Badge Pick-Up & Continental Breakfast - 3rd & 5th Fl.
Break
Track:
Architectures You've Always Wondered About
From DVDs to Global Streaming: How Netflix’s Commerce Architecture Actually Evolved
Netflix didn’t start as a global streaming platform. It began as a US-centric DVD-by-mail business, with a commerce system designed for one country, one currency, and relatively simple payment flows.As Netflix expanded internationally, those early assumptions began to break.
Track:
The Long Game: Staff+ Engineering Agency and the Art of Thriving Through Hype-Cycles
The Hidden Power of Boring Problems
Every engineer faces the same dilemma: invest your limited time mastering the latest technology and framework, or go deeper on fundamental problems that feel "boring" but compound for decades to come?
Track:
Connecting Systems: APIs, Protocols, Observability
From Fan-Out to Fast: Sub-100ms API Design in Distributed Systems
A “simple” API request rarely stays simple. In distributed systems, one call quickly turns into fan-out across gateways, services, caches, and databases — and your p99 becomes the sum of every hop and every flaky dependency.
Track:
Tech of Finance Industry
How To Run on Three Clouds at Once, and When Not To
If you've made a bank transfer recently, there's a good chance that Form3 handled it. When we have a wobble, people notice.
Track:
Native Languages - and Wasm
A Deterministic Simulation Testing (DST) Journey: From WASM in Go to State Machines in Rust
Deterministic simulation testing finds bugs by exploring random execution paths, injecting failures, and letting you replay any failure with a single starting seed.
Track:
Sponsored Solution Track I
Scaling the Unknown: How monday.com Built Performance Guardrails for AI and Custom Apps
At monday.com, we’ve learned that performance bottlenecks are never solved—only relocated.
Break
Track:
Architectures You've Always Wondered About
Behind Booking.com's AI Evolution: The Unpolished Story
It’s easy to look at a mature AI platform and imagine a grand blueprint. Ours began with none. What started as a few data scientists hacking on Perl scripts and Mysql queries has grown into an AI platform that impacts millions of travel decisions every day.
Track:
The Long Game: Staff+ Engineering Agency and the Art of Thriving Through Hype-Cycles
The Socio-Technical Staff+ Engineer: Architecture, Culture and Organisational Change
In today’s complex engineering landscape, Staff+ engineers, architects, and technical leaders can no longer operate solely as technical experts.
Track:
Connecting Systems: APIs, Protocols, Observability
Uncorking Queueing Bottlenecks with OpenTelemetry
Queues are the backbone of scalable, asynchronous systems, but they can easily create a tangled web of complexity. When things slow down, the bottleneck could be anywhere, from producer lag to consumer exhaustion, and standard metrics often fail to show the full picture.
Track:
Tech of Finance Industry
Your Multicloud Strategy Is a Product Problem - Treat It Like One
You can't really "opt out" of multicloud anymore. Between cloud concentration risk, SaaS sprawl, and increasing regulatory expectations, most enterprises end up operating across multiple clouds whether they planned to or not. The hard part isn't having two or three providers.
Track:
Native Languages - and Wasm
Unconference: Native Languages
Rutherford (4th Fl.)
Track:
Sponsored Solution Track I
From Pilot to Impact: How AI Is Transforming Large‑Scale Engineering
In large, highly regulated enterprises like ING, adopting AI in engineering isn’t as simple as enabling a new tool — it’s a fundamental shift in how thousands of engineers design, build, and deliver software.
Lunch Located on 1st, 2nd, 3rd & 5th Fl. & Lunch Topic Discussions Located on 1st Fl.
Track:
Architectures You've Always Wondered About
Evolving Wise Architecture to Power a Global Account
We all strive for loosely coupled and highly cohesive systems, yet as products scale, it is not uncommon for architecture to drift towards a “distributed big ball of mud” where a single change requires cascading changes across multiple services.
Track:
The Long Game: Staff+ Engineering Agency and the Art of Thriving Through Hype-Cycles
All Tech Debt is NOT Created Equal
As we move into the era of AI, code that could be called slop or tech debt is increasing faster than ever. This means that managing that tech debt is just as important as ever. However, how do you prioritize which tech debt to work on? How do you convince others that any of it is important?
Track:
Connecting Systems: APIs, Protocols, Observability
APIs for Agents: Rethinking API Programs in the MCP Era
As API programs mature, a familiar gap emerges: some teams operate with strong standards, reusable platforms, and clear governance, while others rely on informal guidance and best-effort consistency.
Track:
Tech of Finance Industry
Unconference: Tech of Finance Industry
Rutherford (4th Fl.)
Track:
Sponsored Solution Track I
From Prompt to Production: How Spotify Builds Internal Tools in Days with AI and Platform Engineering
Spotify Portal Studio + Claude — Empowering Internal Teams to Build Tooling
Break
Track:
Architectures You've Always Wondered About
One-to-Many Products, One-to-Many Countries: Scaling Nubank to 127 Million Customers
Cloud-native tooling and platform engineering promise everything we need to run software at scale: public clouds, infrastructure as code, developer tooling, and well-understood deployment and scaling models that abstract away complexity.
Track:
The Long Game: Staff+ Engineering Agency and the Art of Thriving Through Hype-Cycles
The Influence Toolkit
Senior IC roles are often said to be about influence – but what do we mean by influence? And what are the tools that a senior IC can employ to influence individuals and teams within a large organisation?
Track:
Connecting Systems: APIs, Protocols, Observability
Unconference: Connecting Systems
Rutherford (4th Fl.)
Track:
Tech of Finance Industry
The Realities of Building an AI Native Fintech Startup
For fifty years, $400 trillion in professionally managed assets sat untouched by external technology. The most analytically demanding investment workflows required a combination of PhD-level quant finance and advanced engineering that no outside vendor could sustain commercially.
Track:
Native Languages - and Wasm
Use<’lifetimes> For<’what>
As Rust has become more ergonomic, lifetimes have become more nuanced.By thinking of lifetimes as sets of loans, rather than using the traditional "regions of code" definition, this talk explores advanced lifetime concepts such as variance and higher ranked lifetimes.
Track:
Sponsored Solution Track I
Maximising an Agentic AI Ecosystem: Trust, Control and Scale
Agentic AI is rapidly moving beyond individual assistants toward interconnected ecosystems of agents, tools, and platforms. This shift promises step‑change improvements in productivity and autonomy—but it also introduces new challenges around trust, control, and operational scale.
Break
Track:
Architectures You've Always Wondered About
Unconference: Architectures You've Always Wondered About
Rutherford (4th Fl.)
Track:
The Long Game: Staff+ Engineering Agency and the Art of Thriving Through Hype-Cycles
Complexity and Creativity in Software Engineering
Software complexity is scaling beyond the limits of human comprehension. This session explores the evolution of this complexity and strategies to manage it.
Track:
Connecting Systems: APIs, Protocols, Observability
Enchant Your AI and APIs with eBPF Magic 🪄
It is a common occurrence to see applications thrown over the fence, landing somewhere in production without a second thought about their lifecycle or how they may need maintaining in the future to connect to more efficient API endpoints.
Track:
Tech of Finance Industry
Move Fast, Don’t Break Trust: Shipping Constantly with Humans and Beyond
Moving fast only works if your systems are engineered with trust and verification in mind. In this talk, we showcase how teams can scale to the point where shipping hundreds of changes a day becomes boring, routine, and safe.
Track:
Native Languages - and Wasm
Fixing the AI Infra Scale Problem by Stuffing 1M Sandboxes in a Single Server
The past year has seen an absolute explosion in the use of AI and agents in particular, a trend that is guaranteed to accelerate going forward.
Track:
Sponsored Solution Track I
Beyond Observability: Implementing Runtime Guardrails for Production AI Agents
Agentic engineering thrives in controlled environments but often falters in dynamic production systems.
Break
Track:
Architectures You've Always Wondered About
Modernising Retail at Scale: Architecting a Cloud‑to‑Edge Platform for a Global Enterprise
Modern retail depends on a technology platform that operates consistently across digital and physical channels - from customer experiences to colleague tools and the supply chain that supports them.
Track:
The Long Game: Staff+ Engineering Agency and the Art of Thriving Through Hype-Cycles
Connecting the Dots: Staff+ (Limited Space - Registration Required)
Rutherford (4th Fl.)
Track:
Connecting Systems: APIs, Protocols, Observability
Managing Asynchronous APIs at Scale
When event-driven architectures are small, teams can reason about events through word-of-mouth. They know who publishes what, who consumes it, and how messages flow through the system. Teams manage their own infrastructure or raise tickets to request changes.
Track:
Native Languages - and Wasm
Understanding and Tuning System Performance with CPU Hardware Counters
Counters are fundamental to monitoring: how many requests were processed, how many CPU-seconds consumed, how many bytes sent over a network. Very likely you are already monitoring your applications and operating systems via the hundreds or thousands of counters they expose.
Track:
Sponsored Solution Track I
Context Engineering: Building the Knowledge Engine AI Agents Need
Every AI coding tool can generate code. Very few can generate the right code for your organization — because they're missing context.
Conference Social on 1st & 2nd Fl. - Drinks & Nibbles
Tuesday, March 17th, 2026
Continental Breakfast - 3rd & 5th Fl.
Conference Introduction and Keynote:
Mitigating Geopolitical Risks with Local-First Software and atproto
Break
Track:
Modern Data Engineering & Architectures
Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale
As Netflix scales hundreds of client platforms, microservices, and infrastructure components, correlating user experience with system performance has become a hard data problem, not just an observability one.
Track:
AI Engineering
Reliable Retrieval for Production AI Systems
Search is central to many AI systems. Everyone is building RAG and agents right now, but few are building reliable retrieval systems.
Track:
Building Engineering Teams
Team Topologies as the 'Infrastructure for Agency' with AI
The book Team Topologies Second Edition (2025) demonstrates convincingly that organizing business and technology for fast flow of value via empowered teams produces outsized results for enterprises worldwide.
Track:
Software Security & Risk Management
Why Governance Matters: The Key to Reducing Risk Without Slowing Down
When you hear “governance,” you might think of red tape, bureaucracy, or someone telling you what you can’t do. But real governance is about alignment and reducing technical risk. And that matters more than ever.
Track:
Debugging Distributed Systems
Orienting, Understanding, Playing, Thriving: Debugging your Organisation
Debugging is both an art and a science. But more than that, it's an activity undertaken with deep intention: to understand and improve your systems. In the purely technical realm, we have an extraordinary range of tooling and techniques that can help us tackle this problem.
Track:
Sponsored Solution Track II
Engineering for the Long Haul: Operating Open Source at Scale
Open-source software powers the world’s most innovative enterprises, but keeping it secure, compliant, and reliable over the long haul is where complexity (and unexpected risk) quietly creeps in.
Track:
Modern Data Engineering & Architectures
From S3 to GPU in One Copy: Rethinking Data Loading for ML Training
ML training pipelines treat data as static. Teams spend weeks preprocessing datasets into WebDataset or TFRecords, and when they want to experiment with curriculum learning or data mixing, they reprocess everything from scratch.
Track:
AI Engineering
Rewriting All of Spotify's Code Base, All the Time
We don't need LLMs to write new code. We need them to clean up the mess we already made.In mature organizations, we have to maintain and migrate the existing codebase. Engineers are constantly balancing new feature development with endless software upkeep.
Track:
Building Engineering Teams
Blurring the Lines: Engineering & Data Teams in the Age of AI
Every senior engineer knows the feeling: a model makes a bad decision, a customer complains, and suddenly you're debugging a system that spans three teams, two pipelines, and a machine learning model nobody fully owns. Where do you even start?
Track:
Software Security & Risk Management
Building on Bedrock: A Security Philosophy from Bootloader to Runtime
In Minecraft, every world is built from blocks. At the very bottom lies bedrock: an unbreakable foundation that everything else rests on. Above it sit layers of stone, dirt, sand, and other materials.
Track:
Debugging Distributed Systems
How Eve Online Leverages Head Based Sampling to Observe "Fun"
A unique pattern in video game software is real-time interactions to express the personality of users.Here we will talk about how we instrument the universe of New Eden to identify the traffic that matters, even the "fun" parts!
Track:
Sponsored Solution Track II
Multi-Cloud Distributed databases for Agentic AI
Distributed databases offer the strong consistency, performance and familiarity of a relational database allied with the scale and resilience of noSQL databases. Multi-cloud is an increasingly popular option for platforms supporting mission-critical services.
Lunch Located on 1st, 2nd, 3rd & 5th Fl. & Lunch Topic Discussions Located on 1st Fl.
Track:
Modern Data Engineering & Architectures
Introducing Tansu.io -- Rethinking Kafka for Lean Operations
Tansu is an open-source, Apache Kafka®-compatible messaging broker designed to be simpler and more flexible than traditional Kafka clusters.
Track:
AI Engineering
Refreshing Stale Code Intelligence
Coding models are helping software developers move faster than ever, but weirdly, the models themselves are not keeping up. They are trained on months-old snapshots of open source code. They have never seen your internal codebase, let alone the code you wrote yesterday.
Track:
Building Engineering Teams
The Ladder Is Missing Rungs: Engineering Progression When AI Ate the Middle
Career progression in engineering has traditionally followed a predictable path: junior tasks teach fundamentals, mid-level work builds judgment, senior roles require synthesis across systems.
Track:
Software Security & Risk Management
From Chaos to Clarity: Modern SBOM Practices That Actually Work
In this talk, Viktor will walk you through everything you need to know to build a practical and future ready SBOM strategy.
Track:
Debugging Distributed Systems
Unconference: Debugging Distributed Systems
Rutherford (4th Fl.)
Track:
Sponsored Solution Track II
Fix Nothing, Build Boldly: The Rise of Agentic Mobile Workflows
Mobile apps are no longer just a channel, they are the business. With 88% of mobile time spent in apps and 71% of uninstalls caused by crashes, the stakes have never been higher.
Break
Track:
Modern Data Engineering & Architectures
Chronon - Mixed-Workload Data Processing Framework
Chronon is a data processing framework open-sourced by Airbnb. It is adopted across organizations like Stripe, Netflix, OpenAI, and Uber. Chronon was originally built for ML applications.
Track:
AI Engineering
Beyond Context Windows: Building Cognitive Memory for AI Agents
AI agents are rapidly changing how users interact with software, yet most agentic systems today operate with little to no intelligent memory, relying instead on brittle context-window heuristics or short-term state.
Track:
Building Engineering Teams
Rethinking Your Engineering Hiring Process & Signals for the AI Era
AI has distorted the signals we rely on to hire engineers. CVs are increasingly tailored, screening can be rehearsed, tech tests can look “perfect,” and even system design and behavioural answers can be polished in ways that don’t reflect real on-the-job judgement.
Track:
Software Security & Risk Management
Unconference: Software Security & Risk Management
Rutherford (4th Fl.)
Track:
Debugging Distributed Systems
Can Claude Fix Itself? Using LLMs for Incident Response
Can you throw an LLM at a production incident and expect useful results? A candid look from someone who runs a distributed AI system and reaches for Claude before reaching for a dashboard. Surprises, failures, and why the answer matters for every engineer carrying a pager.
Track:
Sponsored Solution Track II
Accelerating Container Networking: Fun with Fastpathing
InfiniBand, GPUDirect, RoCE; modern AI workloads demand intense networking solutions. At Runpod, we orchestrate millions of GPU containers whose interconnectivity must prove dependable, scalable, and adaptable to today’s AI demands.
Track:
Modern Data Engineering & Architectures
The Rise of the Streamhouse: Idea, Trade-Offs, and Evolution
Over the last decade, streaming architectures have largely been built around topic-centric primitives—logs, streams, and event pipelines—then stitched together with databases, caches, OLAP engines, and (increasingly) new serving systems.
Track:
AI Engineering
Building an AI Gateway Without Frameworks: One Platform, Many Agents
Early AI integrations often start small: wrap an inference API, add a prompt, ship a feature. At Zoox, that approach grew into Cortex, a production AI gateway supporting multiple model providers, multiple modalities, and agentic workflows with dozens of tools, serving over 100 internal clients.
Track:
Building Engineering Teams
Unconference: Building Engineering Teams
Rutherford (4th Fl.)
Track:
Software Security & Risk Management
Exploding GPUs
AI workloads on Kubernetes inherit every cloud native vulnerability.
Track:
Debugging Distributed Systems
Wrangling Telemetry at Scale: A Guide to Self-Hosted Observability
Observability is supposed to help you tame complexity, but your Observability stack can quickly become just as complex as the systems it's meant to watch. For most teams, the answer is to pay someone else to deal with it.
Track:
Sponsored Solution Track II
Avoid AI Concept Creep with a Knowledge Graph Created in Hours
Modern data lakes and streaming architectures are optimized for data Volume, Variety and Velocity, not for preserving the Meaning of the data.
Break
Track:
Modern Data Engineering & Architectures
Connecting the Dots: Modern Data Engineering & Architectures (Limited Space - Registration Required)
Rutherford (4th Fl.)
Track:
AI Engineering
Async Agents in Production: Failure Modes and Fixes
As models improve, we are starting to build long-running, asynchronous agents such as deep research agents and browser agents that can execute multi-step workflows autonomously. These systems unlock new use cases, but they fail in ways that short-lived agents do not.
Track:
Building Engineering Teams
From Copilots to Orchestrators: A 12 Week Playbook for Training Engineering Teams Using AI
Most engineering teams are stuck treating AI as autocomplete. Engineers have GitHub Copilot installed (or Claude or Cursor or whatever), they're generating snippets faster, but leaders can't connect usage to business outcomes—and developers are shipping code they don't fully understand.
Track:
Software Security & Risk Management
Adopting Memory-Safety and Fine-Grained Compartmentalisation With CHERI
This talk will describe how CHERI achieves memory safety for existing code with just a recompile and how that non-bypassable memory safety can be used as a building block for higher-level security abstractions.
Track:
Debugging Distributed Systems
Are We All on the Same Page? Let’s Fix That - With AI Assistance
In distributed systems, incidents rarely fail because of missing signals - they fail because the right people aren’t mobilised quickly enough, and teams struggle to build a shared understanding under pressure.
Track:
Sponsored Solution Track II
Learning to Trust your AI Agents
AI agents are flooding codebases with far more code than humans can possibly review – so how do you verify the integrity and reliability of your software?
Exhibitor Reception for Attendees - Drinks & Nibbles on 3rd & 5th Fl. - Ends at 6:45pm
Wednesday, March 18th, 2026
Continental Breakfast - 3rd & 5th Fl.
Break
Track:
Architecture in the Age of AI
The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering
Your agent has 100k tokens of context. It still forgets what you told it two messages ago.
Track:
Organizations in Flux: Navigating and Managing AI's Impact on Engineering Teams
AI is an Amplifier: Scale High Performance, Not Dysfunction
AI adoption in software development is nearly universal, yet the outcomes for teams are highly variable. Why do some organizations see massive productivity gains while others see their delivery stability crash? DORA’s latest research provides a key insight: AI acts as an amplifier.
Track:
Architecting for Resilience
How to Find Resilience Bugs in Systems that Don't Exist
Building correct distributed systems takes thinking outside the box, and the fastest way to do that is to think inside a different box. One different box is "formal methods", the discipline of mathematically verifying software and systems.
Track:
Modern Performance Optimization
Machine Learning at the Edge of Scale and Speed: Nanosecond Inference at the CERN Large Hadron Collider
The CERN Large Hadron Collider (LHC) produces O(10,000) exabytes of raw data annually from high-energy proton collisions. Handling this volume under strict compute and storage limits requires real-time event filtering capable of processing millions of collisions per second.
Track:
Emerging Trends in the Frontend and Mobile
Tools That Enable the Next 1B Developers
The developer population is growing by orders of magnitude. The new AI tooling is turning domain experts and operators into builders. Unfortunately, the tools and the platforms they are building on weren't designed for them.
Track:
Sponsored Solution Track III
From Code to Runtime: Bringing Observability into the Flow
AI-assisted development is changing how software gets built. Developers can now generate code, architectures, and even entire services from a prompt in seconds.
Track:
Architecture in the Age of AI
Beyond Benchmarks: How Evaluations Ensure Safety at Scale in LLM Applications
As LLM systems move from prototypes to production, the gap between benchmark performance and real-world reliability becomes impossible to ignore. Models that score well on benchmarks can still fail unpredictably when facing the complexity, ambiguity, and edge cases of real users.
Track:
Organizations in Flux: Navigating and Managing AI's Impact on Engineering Teams
Ethical AI Is an Engineering Problem
The systems we design encode the values we choose
Track:
Architecting for Resilience
Spritely: Infrastructure for the Future of the Internet
Let's take back the internet! Learn about Spritely's work to re-decentralize the net with new foundational technologies that put users in control.
Track:
Modern Performance Optimization
Vector Search on Columnar Storage
Managing vector data entails storing, updating, and searching collections of large and multi-dimensional pieces of data. Some believe that this justifies the creation of a new class of data systems specialized for this.
Track:
Emerging Trends in the Frontend and Mobile
Computer Use Agents: The Frontier of Vision-Based Automation
Computer Use Agents represent a paradigm shift in software interaction: AI models trained to operate interfaces visually, mimicking human interaction rather than relying on technical APIs.
Lunch Located on 1st, 2nd, 3rd & 5th Fl. & Lunch Topic Discussions Located on 1st Fl.
Track:
Architecture in the Age of AI
Building an AI Ready Global Scale Data Platform
As organizations move from single-cloud setups to hybrid and multi-cloud strategies, they are under pressure to build data platforms that are both globally available and AI-ready.
Track:
Organizations in Flux: Navigating and Managing AI's Impact on Engineering Teams
The Reinvention of the Dev Team
I don’t need to tell you that AI has changed software development forever. You know this. Whether you’re positive, negative or indifferent to this change, you can’t deny that the past 2 years have radically changed the role of the software developer.
Track:
Architecting for Resilience
Understanding Progressive Collapse: How To Avoid A Cascading Failure
Small things going wrong can quickly snowball. The cascading failure is often a nightmare scenario for any system. An initial problem, which in isolation seems like such a minor problem, can kick off a chain reaction of ever-increasing failures, potentially leading to catastrophic results.
Track:
Modern Performance Optimization
Not Just I/O: Using Async/Await for Computational Scheduling
In the past two years I have developed a new query execution engine for Polars, which not only tries to execute as much of your query in parallel as possible, but in a streaming fashion as well, such that you can process data sets which do not fit in memory.
Track:
Emerging Trends in the Frontend and Mobile
Panel: Who Builds the Frontend Now? (And What Breaks When They Do)
You're mass-adopting tools you don't fully trust. You're shipping faster but your delivery stability is dropping. Your juniors are getting harder to hire and the ones you do hire are measurably worse at debugging.
Luca Mezzalira - AWS
James Hall - Parallax
Danielle An - Meta
Ivan Zarea - Netlify
Windsor (5th Fl.)
Track:
Architecture in the Age of AI
Your Agent Sandbox Doesn't Know My Authz Model: A Standard-Shaped Hole
Sandboxes are the first line of defence for agentic systems: restrict the bash commands, filter the URLs, lock down the filesystem. But sandboxes operate on the syntax of requests, not the semantics of your authorization model.
Track:
Organizations in Flux: Navigating and Managing AI's Impact on Engineering Teams
Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review
At Duolingo, we realized that successful AI adoption would require deliberate learning — not just access to tools. Over the past year, we scaled AI usage across 300+ engineers through intentional dogfooding programs, live training, office hours, and AI observability dashboards.
Track:
Architecting for Resilience
Keeping the Nation On-Air: How We Think About Resilience at the BBC
At the heart of the BBC is delivering value to all, serving audiences across the UK and the world on TV, radio, and online with trusted and impartial news and high-quality British content.
Track:
Modern Performance Optimization
Looking Under the Hood: Data Processing Systems Performance Tricks (and How to Apply Them to Your Code)
Modern data processing systems—databases, analytics engines, vector stores, and stream processors—hide an extraordinary amount of performance engineering beneath their abstractions.
Track:
Emerging Trends in the Frontend and Mobile
Architecting AI Driven Game Creation: From Research to Production Scale Systems
I spent the last two years as an architect of the next mobile gaming platform at meta, with the ambition that anyone can create, share, and play AI-generated mobile games. What I learned is that the hard part is no longer the generation — it's everything that happens after.
Break
Track:
Architecture in the Age of AI
Explicit Semantics for AI Applications: Ontologies in Practice
Modern AI applications struggle not because of a lack of models, but because meaning is implicit, fragmented, and brittle. In this talk, we’ll explore how making semantics explicit (using ontologies and knowledge graphs) changes how we design, build, and operate AI systems.
Track:
Organizations in Flux: Navigating and Managing AI's Impact on Engineering Teams
Context Is the New Code
We version control code, review it, test it, and observe it in production. We spent two decades building rigorous lifecycles around it.
Track:
Architecting for Resilience
Shielding the Core: Architecting Resilience with Multi-Layer Defenses
High-demand events can cause sudden traffic spikes that overwhelm even well-designed systems. In ticketing platforms, millions of users — alongside increasingly sophisticated automated agents — may arrive simultaneously, placing extreme pressure on backend services.
Track:
Modern Performance Optimization
Automatically Retrofitting JIT Compilers
We as a community have attempted, multiple times, to speed up languages such as Lua, Python, and Ruby by hand-writing JIT compilers. Sometimes we've had short-term success, but the size, and pace of change, of their standard implementations has proven difficult to keep up with over time.
Track:
Emerging Trends in the Frontend and Mobile
Running AI at the Edge: Running Real Workloads Directly in the Browser
Running AI today often means choosing between Anthropic or OpenAI, and accepting the cost and privacy concerns that come with shipping data to third-parties. What if there was another way?
QCon Closing Reception in Pickwick, 1st Fl. - Ends at 5:15pm
Thursday, March 19th, 2026
Continental Breakfast - Albert 2nd Fl.
Certification
09:00AM GMT - 12:30PM GMT (3 hours)
[SOLD OUT] Become an InfoQ Certified Software Architect in Emerging Technologies (ICSAET) - Morning Group
Luca Mezzalira - AWS
Gielgud (2nd Fl.)
Certification
01:30PM GMT - 05:00PM GMT (3 hours)
Become an InfoQ Certified Software Architect in Emerging Technologies (ICSAET) - Afternoon Group
Luca Mezzalira - AWS
Gielgud (2nd Fl.)