Cheat Sheets are greate but they are not a substitute for learning the framework and reading the documentation as we most certainly have not covered every potential example here. Please refer to theRails Command Line Docs for more information.

Reference

You can get all of this information on the command line.

rails generate with no generator name will output a list of all available generators and some information about global options.rails generate GENERATOR --help will list the options that can be passed to the specified generator.

Intel added the Galois Field instruction set (GFNI) extensions to their Sunny Cove and Tremont cores. What’s particularly interesting is that GFNI is the only new SIMD extension that came with SSE and VEX/AVX encodings (in addition to EVEX/AVX512), to allow it to be supported onall future Intel cores, including those which don’t support AVX512 (such as the Atom line, as well as Celeron/Pentium branded “big” cores).

I suspect GFNI was aimed at acceleratingSM4 encryption, however, one of the instructions can be used for many other purposes. The extension includesthree instructions, but of particular interest here is the Affine Transformation (GF2P8AFFINEQB), aka bit-matrix multiply, instruction.

There have been various articles which discuss out-of-band

The intended use-case for BaseDirectories isto query the paths of user-invisible standard directories that have been defined according tothe conventions of the operating system the library is running on.

Z‑Image Turbo is a bit different from “classic” Stable Diffusion, so a lot of old prompting habits don’t quite apply. I’ll walk through how to prompt it deeply and safely, with special focus oncontrolling content (nudity, stereotypes, unwanted artifacts) even though the modeldoes not support traditional negative prompts at all. ([Hugging Face][1])

Key facts that matter for prompting:

This style guide was generated byClaude Code through deep analysis of theFizzy codebase - 37signals' open-source project management tool.

Why Fizzy matters: While 37signals has long advocated for "vanilla Rails" and opinionated software design, their production codebases (Basecamp, HEY, etc.) have historically been closed source. Fizzy changes that. For the first time, developers can study a real 37signals/DHH-style Rails application - not just blog posts and conference talks, but actual production code with all its patterns, trade-offs, and deliberate omissions.

How this was created: Claude Code analyzed the entire codebase - routes, controllers, models, concerns, views, JavaScript, CSS, tests, and configuration. The goal was to extract not justwhat patterns are used, butwhy - inferring philosophy from implementation choices.

• Google
• Amazon
• Apple
• Meta