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Terraform Spaghetti: How One Engineer Untangled 47,000 Lines Without K

One engineer inherited 47,000 lines of Terraform spaghetti and turned it into a survival guide. Here's exactly how the untangling was done.

AWS S3 Files Kills the Worst Lambda Pattern for Good

AWS S3 Files mounts S3 buckets directly into Lambda functions, eliminating the download-process-upload loop that's defined serverless file processing for years.

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Tech and Gadgets

Dorm Room to $1M: The Surprising Story of the nice!nano

Nick Winans built the nice!nano wireless keyboard controller in a single college weekend. It sold out in seven hours and went on to generate over $1 million.

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Mobile & Apps News

Shocking Truth: How Apple and Google Control Your Push Notifications

Apple and Google's push notifications control has reshaped how every app alert reaches users. Here's what changed, why it matters, and where it's heading.

ARTIFICAL INTELLIGENCE

3,000 Tokens/s LLM Inference: The Fastest GPU Speed Yet

Kog AI is hitting 3,000 tokens/s LLM inference speed on standard GPUs — and argues the real bottleneck has always been software, not hardware.

AI Deskilling Is the Shocking Repeat of Frontend’s Lost Decade

AI deskilling is stripping programmers of hard-won expertise — and frontend developers have already lived through this exact cycle. Here's what history tells us

AI Model Collapse: The Shocking Data Crisis Nobody’s Talking About

AI model collapse is quietly reshaping how intelligence scales. As models train on their own outputs, the data crisis no compute budget can fix is already here.

Shocking Airbnb Robot Testing Lawsuit Hits SF Startup

A San Francisco host is suing The Bot Company over alleged secret Airbnb robot testing that left his home scratched, damaged, and missing a pair of shoes.

AI Issue Triage Bot Built in 500 Lines of TypeScript: Here’s How It Wo

A developer built an AI issue triage bot in ~500 lines of TypeScript that classifies, labels, and replies to GitHub issues automatically in about 8 seconds.

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Kog AI is hitting 3,000 tokens/s LLM inference speed on standard GPUs — and argues the real bottleneck has always been software, not hardware.

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