InfoQ Homepage QCon London 2026 Content on InfoQ
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QCon London 2026: Morgan Stanley Rethinks Its API Program for the MCP Era
Morgan Stanley engineers Jim Gough and Andreea Niculcea showed how they're retooling the bank's API program for AI agents using MCP and FINOS CALM. Live demos covered compliance guardrails, deployment gates, and zero-downtime rollouts across 100+ APIs. First API deployment shrank from two years to two weeks. They also demoed Google's A2A protocol running alongside MCP.
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QCon London 2026: Spritely: Infrastructure for the Future of the Internet
Christine Lemmer-Webber, Executive Director at the Spritely Institute, and David Thompson, CTO at the Spritely Institute, presented “Spritely: Infrastructure for the Future of the Internet” at QCon London 2026, where they discussed how Spritely works to decentralize the Internet with new foundational technologies that put users in control.
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QCon London 2026: Refreshing Stale Code Intelligence
At QCon London 2026, Jeff Smith discussed the growing mismatch between AI coding models and real-world software development. While AI tools are enabling developers to generate code faster than ever, Smith argued that the models themselves are increasingly “stale” because they lack the repository-specific knowledge required to produce production-ready contributions.
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QCon London 2026: Rewriting All of Spotify's Code Base, All the Time
At QCon London 2026, Spotify's Jo Kelly-Fenton and Aleksandar Mitic discussed Honk, an AI-powered coding agent that enables code migrations across Spotify's codebase. The system improves migration, reducing timelines drastically and addressing complexities that traditional scripts could not. Key challenges included handling edge cases and standardizing the codebase to facilitate review processes.
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QCon London 2026: SBOMs Move From Best Practice to Legal Obligation as CRA Enforcement Looms
In a talk at QCon London 2026, Viktor Petersson argued that software teams are running out of time to adopt SBOMs (Software Bills of Materials) due to pending legislative changes in both the US and Europe. He walked through the current regulatory landscape, spoke on the practical mechanics of generating high-quality SBOMs and on the emerging standards for distributing the resulting artefacts.
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QCon London 2026: Use<’lifetimes> For<’what>
At QCon London, TrueLayer engineer Ethan Brierley reframed Rust lifetimes using the Polonius borrow checker's mental model: lifetimes as sets of loans rather than regions of code. He built from borrow checker basics through variance and subtyping to higher-ranked lifetimes with serde, showing how the loans perspective makes previously confusing lifetime errors intuitive.
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QCon London 2026: Blurring the Lines: Engineering & Data Teams in the Age of AI
At QCon London 2026, Lada Indra, Head of Data Platform at Pleo, shared insights from his experience across high-scale data systems. He illustrated both the risks of poorly aligned teams and the practical strategies that organizations can adopt to bridge the gap.
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QCon London 2026: Uncorking Queueing Bottlenecks with OpenTelemetry
At QCon London 2026, Julian Wreford and Oli Lane from Gearset showcased how distributed tracing and SLOs solve asynchronous observability gaps. By shifting from queue-size metrics to latency-based alerts, the team improved incident response. Key technical takeaways included using OpenTelemetry trace state for async duration tracking and wide events to uncover hidden architectural waste.
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QCon London 2026: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale
Prasanna Vijayanathan and Renzo Sanchez-Silva, both Engineers at Netflix, presented “Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale” at QCon London 2026, where they discussed the design and implementation of an end-to-end knowledge graph that models the Netflix user experience.
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QCon London 2026: From DVDs to Global Streaming How Netflix’s Commerce Architecture Actually Evolved
Dynamic principal engineer at Netflix, Kasia Trapszo, expertly navigates the evolution of the company’s commerce architecture from a DVD rental service to a global streaming giant. Her insights on pragmatic adaptations to billing systems reveal invaluable lessons on agility, localization, and the complexity of modern payment landscapes.
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QCon London 2026: Reliable Retrieval for Production AI Systems
At QCon London 2026, Lan Chu, AI Tech Lead at Rabobank, shared lessons from deploying a production AI search system used internally by more than 300 users across 10,000 documents. Her experience shows that most failures in RAG systems stem from indexing and retrieval, rather than the language model itself.
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QCon London 2026: Shipping Constantly with Humans and Beyond at Monzo
At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank has built a developer platform capable of shipping hundreds of changes to production every day.
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QCon London 2026: Managing Asynchronous APIs at Scale
At QCon London 2026, Ian Cooper, senior principal engineer at Just Eat Takeaway, discussed managing asynchronous APIs in production, showing how endpoint definitions can drive code generation, schema registration, and the automation of messaging infrastructure.
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QCon London 2026: Your Multi-Cloud Strategy Is a Product Problem — Treat It Like One
JP Morgan Chase engineers Luis Albinati and Surabhi Mahajan argued that multi-cloud complexity can't be solved with engineering alone. Speaking at QCon London, they showed how treating multi-cloud as a product with capability mapping, demand governance, and defined users tames the chaos.
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QCon London 2026: All Tech Debt is Not Created Equal
Joy Ebertz, Principal Engineer at Imprint, presented at QCon London 2026 a groundbreaking framework for prioritizing technical debt amidst rapid AI-driven code production. By challenging perfectionist mindsets, her six-question approach helps teams assess impact and costs, ensuring focus on vital debt. Jot emphasizes translating tech decisions into financial terms, empowering smarter engineering.