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Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.
Ian Cooper discusses managing asynchronous APIs in event-driven architectures at scale. He explains the "ABCs" of messaging (Address, Binding, Contract) and shares how to tackle discovery, governance, and provisioning using AsyncAPI, CloudEvents, schema registries, and automated CI/CD infrastructure pipelines based on real-world engineering practices at Just Eat Takeaway.
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balancing LLM-as-a-judge with deterministic rules, bridging Python data science evals with TypeScript production code, and implementing deep tracing to catch regressions across complex RAG and cybersecurity workloads while preserving domain context.
Dhruva Juloori discusses how Uber maintains green mainlines across massive monorepos handling 65,000+ monthly changes. He explains how SubmitQueue uses binary speculation trees, conflict analysis, and machine learning models to predict build success and execution times. Juloori shares how bypassing large diffs slashed CI resource usage by 53% while accelerating PR landing times by 37%.
In this episode, Chris Swan, engineer at Atsign and security track host at QCon London, reflects on the ideas shared during QCon London 2026 and teases topics of the future edition. The discussion explores how security engineering is shifting from relying on human vigilance toward automated, system-level defences across the entire application stack.
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Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.Online. Register now.
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Your coding agent moves fast. Who checks whether it's making the codebase better? Online. Register Now.
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Compare team design, delivery flow, AI roles, and metrics with experienced practitioners. Online. Register Now.
QCon San Francisco
What's working across AI, architecture, and leadership, from the teams doing it. Register. Early bird ends Oct 13.
QCon AI New York
Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.Register. Early bird ends Oct 13.
QCon London
What early-adopter teams have proven in production, across 15 engineering tracks. Register. Early bird ends Oct 13.
QCon AI Boston
Learn from the decisions and trade-offs behind AI systems already running in production.Registration open.
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