The Pulse: ‘Tokenmaxxing’ as a weird new trend
Parts of this article on tokenmaxxing read like plots out of outlandish worlds of Cyberpunk and Mad Max. I mean, didn’t we already learn our lessons from ‘lines of code as a performance metric’?
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The 3 Candidates I Always Rejected as a Bar Raiser at Amazon
I can see a bit of myself in all 3 rejected candidate types. What helped me crack interviews was doing more of them (in ‘production’, of course) and learning from failed ones. It was 10x more effective than any mock interview I ever did.
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The Security Architecture of GitHub Agentic Workflow
Glad to know GH approached agent security from a position of distrust rather than trust. Remember what happened to Sonny and VIKI in iRobot despite the strict enforcement of Asimov’s Three Laws of Robotics. You remember it, right?
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The impact of AI on software engineers in 2026: key trends
Aren’t companies firing employees to manage rising AI costs, among other things?
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How Spotify Ships to 675 Million Users Every Week Without Breaking Things
Nothing earth-shaking, TBH. Spotify’s release process is mature and grounded but resembles how releases are contemporarily done in most large product orgs. At Deel, we had a strikingly similar GTM process for new features.
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3 Stories Every Professional Should Have Ready
On a good day, I nail my introduction and come out impressively. Sadly, good days are far and few. Steve’s advice to write down your introduction to be always prepared sounds pragmatic. This is going in my urgent TODO!
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How Amazon Uses LLMs to Recommend Products
Searching by intent (aka semantic search) is the antithesis of searching by keywords. Amazon’s semantic search solution is pretty amazing at how it leverages mega LLMs to (a) build knowledge graph to serve known queries, and (b) create smaller LLMs for generative responses to serve never-before-seen queries.
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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.