Sharing practical AI programming and Vibe Coding tips.
The article explains how Claude’s new advisor tool lets you pair the cheap executor model (Opus 4.8) with the more capable consultant model (Fable 5), details the pricing trade‑offs, shows the JSON request format and Python example, and compares accuracy and cost across several benchmark configurations.
The article reviews Matt Pocock's "skills" repository, focusing on the /grill-with-docs skill as a concise alternative to Superpowers, compares their design philosophies, shows installation steps, and demonstrates the workflow through a real iOS app project.
This article walks through Claude Code’s Loop Engineering concepts—turn‑based, goal‑based, time‑based, and proactive loops—using concrete Fable 5 demos, detailed step‑by‑step instructions, and cost‑quality tips for building reliable AI‑driven automation.
The article analyzes how OceanBase’s new AI‑native database tackles the data‑layer challenges of autonomous agents by introducing logical tables, multi‑modal storage, Fork DB sandboxes and lake‑warehouse integration, arguing that the product’s value lies beyond simple vector retrieval.
The article reviews Anthropic's new Claude Science app, detailing how its integrated agent architecture, reproducible workflow, reviewer agent, and seamless HPC support streamline fragmented life‑science research tasks while noting current platform limits and installation steps.
Anthropic unveiled Claude Sonnet 5, the most capable agent‑oriented model yet, while Fable 5 is set to resume access after a three‑week export‑control pause, prompting analysis of performance gains, pricing, security trade‑offs, and the broader regulatory impact on AI model deployment.
The article reviews Stanford’s free CS336 “Language Modeling from Scratch” course, detailing its rigorous, scaffold‑free curriculum, five demanding assignments that cover tokenization, Transformer implementation, FlashAttention2 with Triton, scaling laws, data preprocessing, and RL‑based fine‑tuning, and explains why it’s essential for anyone serious about AI infrastructure.
The article dissects why Chinese model transfer stations can sell Claude tokens at a fraction of the official price, revealing three profit mechanisms—arbitrage, model substitution, and data resale—while outlining the supply chain, regulatory risks, and the sustainability of such services.
The article breaks down DeepSeek’s massive hiring push, outlines the core traits DeepMind’s Vlad Feinberg says are essential, and provides a step‑by‑step roadmap—including kernel work, scaling‑law studies, and open‑source contributions—to help aspiring engineers break into top AI research labs.
The author outlines a fast AI‑assisted workflow that combines ChatGPT DeepResearch and Claude Code to generate a comprehensive research report in 1–2 hours, using a medical imaging competition as a concrete example and offering practical tips for reliable results.
