QCon London 2027 Announces 15 Tracks on Production AI, Architecture, and Engineering at Scale
A preview of the 15-track QCon London 2027 program, covering agent evaluation and guardrails, AI-era architecture, distributed-system debugging, modern data platforms, high-performance engineering, and Staff+ leadership. By Artenisa Chatziou
QCon London 2027 will focus on practical aspects of production AI, architecture, and engineering at scale. Spanning April 13–16 at the QEII Centre in London, the conference features 15 tracks organized around key questions. More than 75 speakers will share insights on production systems, trade-offs, and lessons learned from real-world implementations.
Topics include AI evaluation platforms, security in AI systems, AI integration into existing architectures, software development lifecycle changes, debugging distributed systems, and more. The conference aims to help teams understand when to adopt new practices and when to rely on established engineering principles, with an emphasis on understanding the conditions under which approaches succeed and the compromises involved.
The event also offers opportunities for interactive sessions and credential-earning for participants interested in applying the knowledge to their own architecture challenges.
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