2d ago · 3 min read · I set myself an ambitious goal: to actually understand AI agents at an engineer's level, not a user's. On day one I learned something that reframed the whole thing: building agents is mostly not about
Join discussion6d ago · 12 min read · Your agent just produced a confident answer. It sounds plausible. It cites the right kind of context. It may even have called the right tool. But something feels off. The answer is shaped by a viewpoi
Join discussionJun 1 · 17 min read · Most AI support agent tutorials show you how to wire up Retrieval Augmented Generation (RAG) and call it a day. Convert the docs into numeric vectors, pull the closest few passages to the user's quest
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Jun 1 · 7 min read · As platform engineering evolves, we are constantly battling alert fatigue. We run our vulnerability scanners, generate endless Software Bill of Materials (SBOMs), and drop massive PDF reports onto dev
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May 28 · 19 min read · I scanned 111,076 of the top 200,000 websites on the internet looking for a specific HTTP header. I found exactly zero. Not one domain has shipped WebMCP in production. Not a single Fortune 500 site.
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May 26 · 8 min read · You have three seconds. That is how long a user spends with the canvas before they have decided whether this tool is real or a demo. A half-second of lag, a node that does not respond to a click, an e
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May 26 · 14 min read · Ask most developers how they would execute an AI pipeline and they will say: loop through the nodes, call the LLM on each one, pass the output to the next. Done in twenty lines. That works until you n
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