Dumping a relational database into a vector store gives you a slow, expensive system that has forgotten its own schema. This covers hybrid retrieval instead: ReAct tool routing, why FAISS post-filtering returns nothing, and a PHP dispatcher for WordPress.
Dashboards tell you a delivery was late. They do not say which team caused it. This post covers the MCP setup I use so Claude can read ERP, WMS and TMS timestamps and work out where the delay started.
Telex can now take a Figma mockup or a napkin sketch as input, hand you a zip to refactor in VS Code, and accept it back for another AI pass. It also supports 7 languages and stopped breaking multi-byte output mid-stream.
Notes from cleaning up after AI coding agents: the code compiles fine and still rots. Divergent change and speculative generality are the two smells I keep finding, with a refactored ML pipeline showing the fix.
OpenClaw keeps Claude Code running as a long-lived agent instead of a chat window. My setup puts it in a Docker container, links a Claude Code token, and uses explicit skills for jobs like GitHub PR reviews and email triage.
Notes on PyTorch distributed operations: what NCCL is doing under the hood, why synchronous and asynchronous do not mean what you would guess, and how a missing wait call hangs a rank forever.
Data scientist onboarding takes more than Snowflake keys. What the first 90 days should cover: context from the people around you, a working environment by day 5, and a starter project that earns trust.
Stephanie Kirmer, a staff ML engineer, on why the job leans on sociology as much as modeling, how code assistants took over the boilerplate, and why $200 billion of AI investment looks out of proportion to what the tech does today.
AI Experiments 0.3.0 moves the plugin’s AI features into the editor itself: an AI Summary block, image generation in the post sidebar, and alt text on request. The developer side gets strict typing in the Abilities Explorer and cleaner asset handling.
GPUs sit idle during text generation because model weights move slower than the math runs. Nvidia’s TiDAR drafts tokens with diffusion and verifies them in one parallel pass, reaching up to 5.91x speedup on an 8B parameter model.