Are AI agents actually slowing us down?
AI token usage in performance reviews? Seriously?!
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Nobody Is Coming to Save Your Career
Career growth in 2 sentences - ‘Your company will never tell you that you’ve gotten too comfortable because they benefit from your comfort. You have to be the one who notices it and breaks out of it.’
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How Agentic RAG Works?
Introducing AI agents in a classic RAG search pipeline lends it the ability to think, reason, and decide whether the one-shot vector-search results are any good or require refinement. Agentic RAG might also be a good application to learn about agentic systems in general.
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How LinkedIn Feed Uses LLMs to Serve 1.3 Billion Users
Intriguing use of LLM embeddings to link member data and post together for super-fast retrieval in social feeds. And, of course, the use of LLM as semantic search layer is 🆒
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Does GitHub still merit “top git platform for AI-native development” status?
Didn’t know GitHub was in such dire waters. But TBH I like Copilot.
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Why You Should Prepare for a Layoff, Even If You Think You're Safe
Certainty in uncertain times goes a long way in approaching touch situations with calm and clarity.
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Dropbox Multimedia Search: Making File Search More Useful
What not to prematurely optimize is one of the most important engineering decisions in system design. Like how Dropbox avoided generating preview thumbnails for all uploaded video/images based on their data-backed insight that most such files will never be viewed in a search result. Saved them both storage and compute costs.
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How Reddit Migrated Comments Functionality from Python to Go
Tap compare, what a clever way to migrate from one tech stack to another in production. Sounds like a beginner interviewer shadowing an experienced one in real interviews.
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Stop using MySQL in 2026, it is not true open source
Development has ground to a halt. The thing is plagued by security issues. As fondly as I remember MySQL from my formative years, the sad reality is it stopped being a viable option soon after its Oracle acquisition. Why Sun, why did you sell yourself?
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How DoorDash Moved to a Service Mesh to Handle 80M Requests/Second
A good case study in picking just part of an off-the-shelf platform solution and building out the rest based on your org’s unique architecture and constraints. ‘Most important is to stay grounded in real problems rather than chasing architectural trends.’