AI practitioner specializing in large-model evaluation and on-premise deployment, agents, AI programming, Vibe Coding, general AI, and broader tech trends, with daily original technical articles.
The article walks through how to combine OpenAI's Codex with Feishu's CLI to create a customizable AI‑powered workbench, showcasing 27 built‑in Skills, open‑source tools for email and document processing, and step‑by‑step examples that turn AI outputs into actionable Feishu actions.
The article walks through how Codex plugins combine external tools, workflow logic, and MCP servers into reusable agents, showing step‑by‑step usage of dozens of plugins—from Gmail and Google Docs to Cloudflare and Superpowers—so developers can automate daily tasks, integrate services, and turn prompts into concrete actions.
Anthropic's new ClaudeForFoundationModels Swift package lets iOS and macOS developers integrate Claude through Apple’s Foundation Models framework using the same LanguageModelSession API, offering seamless switching between local and cloud models, detailed setup steps, code examples, and a clear view of current limitations.
Version 0.23.0 of the open‑source vLLM inference engine adds full DeepSeek‑V4 stability, Model Runner V2 coverage for Llama, Mistral, Qwen3 and new models, a production‑grade Rust front‑end, multi‑level KV‑cache offloading, extensive hardware optimizations across NVIDIA, AMD, Intel, TPU and RISC‑V, plus API enhancements, delivering up to 20 % performance gains while simplifying deployment.
The article analyzes Claude Fable 5’s capabilities, dissects Anthropic’s official prompt guide, compares leaked system prompts, and demonstrates how to achieve roughly 90% of Fable 5’s performance on a consumer‑grade GPU using Opus 4.8 plus a custom prompt, while also presenting a local Gemma 4 12B coder alternative.
Agent Skills, an open‑source project by Google engineer Addy Osmani, breaks the software development lifecycle into six stages with 24 structured skills, anti‑rationalization checks, doubt‑driven development, and context engineering, enabling AI‑generated code to meet production‑grade quality standards.
Unsloth quantizes Google’s DiffusionGemma into five GGUF variants, the smallest fitting a 24 GB GPU, adds a dedicated llama‑diffusion‑cli, and demonstrates over 2000 tokens per second on an RTX 6000, while outlining usage steps, model‑size trade‑offs, and limitations.
The article analyzes Anthropic's partnership with DXC Technology, highlighting that over 95% of the code in DXC's OASIS platform is generated by Claude, boosting development speed tenfold and ushering AI into the core, regulated systems of banks, airlines, and insurers.
Anthropic loudly warned about AI threats and launched Claude Fable 5 and Claude Mythos 5 as the strongest publicly available models, only to disable both worldwide days later, citing compliance, while detailed benchmarks, safety‑classifier effects, pricing, and possible business motives are examined.
The article introduces Google Colab CLI, a command‑line interface that moves Colab notebooks from the browser to the terminal, detailing its installation on Linux/macOS, authentication steps, core features like instant VM provisioning, kernel state persistence, shebang GPU scripts, and practical examples such as fine‑tuning Gemma 3‑1B.
