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What 25 Trillion Tokens Reveal about How Developers Actually Adopt AI Agents
Brendan O'Leary shares real-world data from 40T tokens to explain how trust, multi-model routing, and context construction drive actual developer AI adoption over raw benchmarks.
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How Eve Online Leverages Head Based Sampling to Observe "Fun"
Nicholas Herring explains how EVE Online balances cost and fidelity using 100% head-based dynamic and deterministic sampling to monitor a 20-year-old monolith alongside modern domain services.
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Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale
Prasanna Vijayanathan and Renzo Sanchez-Silva explain how Netflix uses AIOps, AI agents, and operational ontologies to turn high-scale telemetry into automated, proactive incident root-cause analysis.
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Beyond Prompting: Context Engineering for Production-Grade AI
Ricardo Ferreira explains how context engineering overcomes LLM latency, cost, and memory limitations in AI systems, sharing architectural lessons from building a custom Alexa backend with Redis.
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Beyond Line Charts: Why Some Diversity in Telemetry Visualization Is Long Overdue
Yao Yue explains why line charts often fail during production incidents and shares how software architects & engineering leaders can transform telemetry data to answer critical operational questions.
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Python, Numba, and Algorithm Design: Building Efficient Models in Financial Services
Chad Schuster explains how using Numba JIT compilation and GPUs speeds up compute-intensive Python models, driving 10x cloud cost reductions while navigating architecture trade-offs.
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The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering
Baruch Sadogursky and Patrick Debois explain context engineering antipatterns in coding agents, demonstrating how skills, right-tool retrieval, and external memory optimize developer workflows.
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Adopting Memory-Safety and Fine-Grained Compartmentalisation with CHERI
David Chisnall explains how CHERI architecture unifies hardware capabilities and pointer metadata to deliver memory safety and fine-grained, efficient software compartmentalization.
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Rewriting All of Spotify's Code Base, All the Time
Aleksandar Mitic and Jo Kelly-Fenton discuss how Spotify uses "Honk," a background AI coding agent, to automate codebase migrations at scale and tackle the ongoing maintenance problem.
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Automatically Retrofitting JIT Compilers
Laurence Tratt explains yk, a meta-tracing JIT compiler technology that automatically speeds up C-based interpreters like Lua and Python with minimal, non-invasive code changes.
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The Free-Lunch Guide to Idea Circularity
Holly Cummins explains how tech history rhymes, tracing tradeoffs from the Great Stink to cloud, AI hype cycles, and ZIRP, urging leaders to recycle old engineering disciplines for sustainability.
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Clean Architecture for Serverless: Business Logic You Can Take Anywhere
Elena van Engelen explains how to build cloud-agnostic serverless applications. She shares how Spring Cloud Function, Clean Architecture, and Gradle decouple business logic from AWS and Azure.
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