At QCon London 2016, engineers from Spotify presented how the company accelerates internal tool development using its internal developer platform and AI-assisted workflows. By Daniel Dominguez
Jabez Eliezer Manuel, Senior Principal Engineer at Booking.com, presented “Behind Booking.com’s AI Evolution: The Unpolished Story” at QCon London 2026. Manuel discussed how Booking.com has evolved over the past 20 years and the challenges they faced on their journey to incorporate AI. By Michael Redlich
Google has open sourced CEL-expr-python, a Python implementation of the Common Expression Language (CEL), a non-Turing complete embedded policy and expression language designed for simplicity, speed, safety, and portability. By Sergio De Simone
At QCon London 2026, Yinka Omole, Lead Software Engineer at Personio, presented a session exploring a recurring dilemma engineers face, whether to spend time mastering the newest technologies and frameworks or to invest in deeper, foundational problems that may appear less exciting but deliver long-term value. By Daniel Dominguez
Form3 runs UK bank payments across three clouds simultaneously. At QCon London, their engineers explained how they built their custom Kubernetes operators, cross-cloud DNS tricks, and distributed databases, and what happened when they tried to sell them in America. Spoiler: US customers wanted East/West failover, not triple-active multi-cloud. By Steef-Jan Wiggers
DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared embedding space. Trained on 32 million labeled query-product pairs using contrastive learning, the system improves semantic search, product ranking, and advertising relevance. Embeddings also support other machine learning tasks across the marketplace. By Leela Kumili
Celebrating its 23rd year, Devnexus 2026 was held from March 4-6, 2026 at the Georgia World Congress Center in Atlanta, Georgia. The event featured speakers from the Java community who delivered workshops and talks under tracks such as: AI Generative; AI in Practice; Core Java; Java Frameworks; and Security and Developer Tools. By Michael Redlich
Stefan Dirnstorfer discusses the shift from DOM-based testing to visual UI agents. He explains why LLMs often fail at precision tasks – like spotting one-pixel shifts or broken road networks – and shares how advanced image registration and “Chain-of-Thought” vision processing are essential for reliable QA. Learn why combining generative AI with classical algorithms is … Devamını oku
This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to combine benchmarks, automated evaluation pipelines, and human review to measure reliability, task success, and multi-step agent behavior. The article also discusses the challenges of evaluating systems that plan, use tools, and operate across multiple interaction turns. By Amit … Devamını oku
Andres Almiray, a serial open-source contributor and the creator of JReleaser, discusses the project’s state, noting that the tool is usable across any ecosystem, not just Java. He also touches on the Common House Foundation’s mission. By Andres Almiray