A LinkedIn recruiter pitched me a remote "Software Engineer at a DEX" project this week. Reasonable comp range, tech stack squarely in my wheelhouse. After a couple of friendly exchanges, she asked me to "review the codebase before the technical interview" and sent me a GitHub repo link plus a Calendly invite for the call. The repo was malware. It didn't get me, but it's something developers shoul
A College Project That Planted a Seed Years ago I was on a university team trying to build a Go AI. We explored monte carlo simulation for lookahead search, basic neural networks for pattern recognition, and expert systems for encoding domain knowledge. None of them worked well enough on their own. Go's branching factor is enormous, so brute-force search fails quickly. Neural networks without th
DeepClaude: I Combined Claude Code with DeepSeek V4 Pro in My Agent Loop and the Numbers Threw Me Off DeepSeek V4 Pro correctly solves 94% of deep reasoning tasks in my loop… but the latency cost makes it unusable for 60% of my agent cases. Yeah, you read that right. And that completely blows up the narrative of "combining models is always better." Tuesday night I watched the DeepClaude post cli
Series: AI Isn’t an Engineering Problem Anymore (Part 2) In the last post, I talked about hitting a usage limit while debugging my robot and realizing how repetitive my own AI usage had become. When we use LLMs, whether through APIs or tools, it feels like every request is new. The inefficiency isn’t from using AI too much. You don’t ask once, you iterate. These are the most interesting ones. Some
Run the same brand-query through ChatGPT, Gemini, Perplexity, Claude, and Grok. Read the citations. The cited URLs will not be the same, the brands featured will not be the same, and in roughly a third of cases one tool will cite your brand confidently while another does not mention it at all. The temptation is to reach for an algorithmic explanation different rerankers, different summarisation st
TL;DR: I built ChessDada — a free multiplayer chess platform inspired by old Yahoo Chess. No signup, no download, just instant browser-based chess. Built with Node.js, Socket.IO, and chess.js. Modern chess sites are bloated. Chess.com forces you through signup. Lichess defaults to account creation. The "5-second click and play" experience that made Yahoo Chess legendary in the 2000s is essentially
Hermes Agent from Nous Research is a model-agnostic, tool-using assistant you run locally or on a VPS. Hermes does not lock you into one surface. You can use the classic hermes / hermes chat CLI, the full-screen hermes --tui session, a long-running hermes gateway for Telegram, Discord, Slack, and other messaging platforms, hermes dashboard for a local browser UI when the web extra is installed.
Technical debt and AI: is it gone? Lorenzo Battilocchi May 4 #ai #programming #management #technology 5 reactions Add Comment 3 min read