Uncover emerging trends and practices from the world’s most innovative software professionals to help you validate your software roadmap. Celebrating 20+ years.
More sessions like this are lined up for QCon London 2027, April 13-16.
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#QConLondon#CodingAgents#DeveloperExperience
When a codebase is predictable, agents can generate more correct code.
Jo Kelly-Fenton, Engineer at Spotify, explains the compounding effect: more correct code is cheaper to verify automatically, which reduces review load and creates more capacity to keep improving the codebase.
More sessions like this are lined up for QCon London 2027, April 13-16.
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#QConLondon#AIEvals#RAG
Lan Chu, AI Tech Lead and Senior Data Scientist, recommends starting with a small set of real user queries covering the key production cases. They can give more useful signal than large batches of synthetic examples.
Jo Kelly-Fenton, Engineer at Spotify, explains how a five-person advisory board was given responsibility for the call, turning a company-wide debate into a smaller, explicit decision-making process.
More sessions like this are lined up for QCon London 2027, April 13-16.
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#QConLondon#AIEvals#AIEngineering
Lan Chu, AI Tech Lead and Senior Data Scientist, describes two phases: a controlled dataset to test quality before launch, then production signals to show where the evaluation set and the system need to evolve.
More sessions like this are lined up for QCon London 2027, April 13-16.
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#QConLondon#CodingAgents#CodeReview
Aleksandar Mitic, Software Engineer at Spotify, uses that analogy for reviewing agent-generated PRs: the reviewer monitors the evidence and decides whether the change is safe to merge, rather than recreating every step.
More sessions like this are lined up for QCon London 2027, April 13-16.
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#QConLondon#RAG#AIEngineering
Lan Chu, AI Tech Lead and Senior Data Scientist, explains the missing signal: recency wasn't part of the scoring, so the retrieval system never represented the query's time intent.
Latency, consistency, partial failure, scaling, and observability shape whether a distributed system can be trusted.
Review the Distributed Systems in Production track at QCon San Francisco 2026: https://t.co/8bVX4b2hRn
More sessions like this are lined up for QCon London 2027, April 13-16.
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#QConLondon#FeatureStore#DataEngineering
Nikhil Simha, Co-Founder & CTO at https://t.co/1TEgcMkM6j, explains how Chronon uses that property for rolling-window aggregations: split data across machines, aggregate independently, merge the results. The outcome doesn't change.