akitaonrails/ai-book-2026
Can I trust it?
Be careful with this one.
Warnings Check
Very new: it was created 7 days ago. Wait a little before installing it.
Stars from real accounts No data
We haven't checked its stars for fakes yet.
Active OK
Last change 3 days ago.
Licence Careful
No licence: legally you can't reuse the code, unless the README says otherwise.
Quick checks from public data. They help, but they are no guarantee.
What it is
Source repository for the e-book Competent Enough, a book on AI written by Fabio Akita, following one programmer through 2026 as he builds software with AI agents and benchmarks models. Includes a Ruby build system that produces EPUB, PDF and DOCX editions and syncs content with…
Who it's for
Readers interested in AI's practical impact on software work, and developers who want to see a Ruby and Quarto book build pipeline
How to use it
Ask your AI to set it up
Paste this into Claude, ChatGPT or your coding assistant.
Help me install and set up akitaonrails/ai-book-2026 in my project. Follow its README: https://github.com/akitaonrails/ai-book-2026. Explain each step and check it is safe before running anything.
Star curve
Get alerts for repos like this
We'll email you when repos like this start rising. Free, once a week, only what matches.
18,268 GitHub repos watched and ranked every hour. Figures as of 20 October 2026.
What arrives: one email on Mondays with the repos that match, never more. See last week's. Privacy
For maintainers
Add this badge to your README. It shows the repo's place on the radar, updates every hour and links back to this page.
[](https://repoalerts.com/repo/akitaonrails/ai-book-2026?ref=badge)Similar repos
- aliyun/ai-agent-handbook
A Chinese-language handbook on building, running, governing and tuning enterprise AI agents across their lifecycle. It is organized as chapters covering architecture, harness design, task orchestratio
- OpenSenseNova/SenseNova-RoboRSI
A framework for building, evaluating and iteratively improving embodied agents on a shared runtime. It connects models, prompts, skills and robot tools, runs benchmark environments with native scoring
- akitaonrails/ai-memory
Shared long-term memory for AI coding agents. Lifecycle hooks capture sessions silently, sanitize them, and consolidate them into a git-backed markdown wiki, so a handoff can move work between agent C
- N-tongxue/norman-skill
A collection of Python-based Skills for AI coding assistants supporting research workflows: converting paper figures into editable PowerPoint shapes, critical paper reading and research planning, and
- aicodeking/leanrea
A single 8 KB agent skill file that tells an AI agent which command-line tools to use for reverse engineering each kind of target (Electron/asar, Mach-O, Go and other binaries, bundles, APKs, firmware
- sqfcyily/deva
A desktop AI assistant driven by chat. It can mount a local folder to read code, edit files and run commands, create scheduled tasks, and continue conversations through Feishu or Telegram bots. It sup