How to turn AI production feedback into better agents
Your agent is live. The service is healthy. But are its answers getting better? By connecting production traces, curated data, The post How to turn…
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Presentation: Adaptive Recommenders in the Real World: Inference, Evals, and System Design
Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She discusses how real-time feedba…
How Code in the Age of Artificial Intelligence Becomes Write-Only and Disposable
Artificial intelligence (AI) makes all code write-only,. It’s too dense to read, and tests define the behaviour and become the documentation. Code i…
More Incidents Don't Necessarily Mean Less Reliability
One of the most common assumptions in engineering leadership is that a rising number of reported incidents signals declining system reliability. How…
Podcast: Culture & Methods Trends 2026: The Human Side of AI Engineering
This is the Engineering Culture Trends Report for 2026. Featuring a panel of QCon speakers and InfoQ contributors, they discussed AI adoption maturi…
Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines
Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddin…