Recent Posts
Practical System Design: The Quiet Elegance of Boring Architecture
Junior engineers often assume that impressive system design requires a complex web of microservices, event streaming through Apache Kafka, CQRS patterns, and distributed consensus mechanisms running across every cluster.
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How I Keep Myself Alive Using Golang: Automated Incident Management for Type 1 Diabetes
How many grams of carbohydrates are in a pint of beer or a seemingly healthy salad? For most people, the answer is “who cares,” unless they are following a strict diet. But for approximately 8 million people living with Type 1 Diabetes (T1D) worldwide, this is a continuous, daily life-or-death question.
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Lies We Tell Ourselves to Keep Using Golang
In the backend engineering community, Golang (Go) is frequently praised for its radical simplicity. From microservices at Google, Uber, and Grab to core infrastructure projects like Docker, Kubernetes, and Terraform, Go seems to be everywhere. Engineers routinely swap familiar praises: “Go is dead simple to learn,” “Concurrency in Go is practically free thanks to Goroutines,” and “The Go toolchain compiles instantly into a single self-contained binary.”
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When an Autonomous AI Agent Left Its Owner a $6,500 AWS Bill Scanning DN42
Over the past few days, the DevOps and networking communities have been buzzing about a rather tragicomic incident. An operator confidently gave an autonomous AI agent an AWS API key with full administrator access. The mission seemed simple: join and scan DN42. A few days later, the operator woke up to a $6,531.30 AWS invoice, declared bankruptcy, and took to the DN42 mailing lists and Matrix channels begging for cryptocurrency donations.
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Gemini 3.6 Flash & Tiered Thinking: Did Google Forget Gemini 3.5 Pro?
Google quietly updated its AI ecosystem with the release of Gemini 3.6 Flash. This update not only brings blazing-fast response speeds and optimized inference costs but also introduces a brand-new reasoning configuration option in the API and Google AI Studio: Tiered Thinking.
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Agnes AI vs The 2026 AI Lineup: Benchmarking Against DeepSeek V4, ChatGPT 5.6, Gemini 3.6, and GLM 5.2
The global AI ecosystem in mid-2026 is experiencing fierce multi-polar competition. Western tech titans continue to push massive frontier models with OpenAI’s ChatGPT 5.6 and Google’s Gemini 3.6. Across the Pacific, Chinese AI labs are exerting immense pressure with DeepSeek V4, GLM 5.2 (Zhipu AI), and Kimi (Moonshot AI).
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