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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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From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry
Ben O'Mahony shares how to build a data flywheel for AI agents using OpenTelemetry, explaining how behavioral user signals can be mined to distill and fine-tune smaller, localized language models.
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Practical Performance Tuning for Serverless Java on AWS
AWS Hero Vadym Kazulkin discusses optimizing serverless Java on AWS Lambda. He explains how to slash cold start latencies below one second using managed SnapStart, priming, and GraalVM AOT.
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Theme Systems at Scale: How to Build Highly Customizable Software
Shopify Staff Engineer Guilherme Carreiro explains how to scale highly customizable software platforms. He shares architectural strategies for balancing deep design flexibility with peak performance.
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