yabasha/yabasha
This repository is a GitHub profile README rather than a runnable codebase — a structured introduction to Bashar Ayyash (Yabasha), an AI systems architect in Amman, Jordan, aimed at employers, collaborators, and anyone evaluating his open-source work. It positions him around a specific thesis: twenty years shipping software, four of them inside a regulated bank building production RAG and agent systems with evals, guardrails, and monitoring in both Arabic and English. The unifying theme is the gap between a working demo and a system that survives real users, and every section of the README serves that framing.
The README doubles as an index to six repositories, and the linked work shows consistent technical judgement. composable-ai-stack is a modular stack that is Bun, Turborepo, and Convex-first; arabic-stt-eval stratifies Arabic speech-to-text evaluation by dialect and defines explicit normalisation tiers; gauntlet-loop makes an agent set a quality bar, run builder-and-critic pairs, compare results blind, and iterate until it wins. Domain expertise is also packaged as reusable agent skills — copywrite-skill builds on Schwartz's awareness model, while geo-seo-claude handles citability scoring and AI crawler analysis.
There is nothing to install here; the value is in the curation and the writing it points to. It is worth a look for the under-served Arabic-language AI evaluation angle, the production-first perspective, and touches like an llms.txt published specifically for machine readers.
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§ Readme
Edit on GitHub ↗AI Systems Architect for regulated industries — evals, harness design, AI security.
Bashar Ayyash (Yabasha) is an AI Systems Architect in Amman, Jordan. Twenty years shipping software, four of them inside a regulated bank building production RAG and agent systems with evals, guardrails and monitoring — in Arabic and English. He writes at yabasha.dev and builds open-source tooling for AI-assisted development. Demos are easy. Production isn't.
What I work on
Production AI in places where a wrong answer has a cost: evaluation sets, guardrails, fallback paths and the boring plumbing that decides whether an agent survives contact with real users. Arabic and English, which is a narrower problem than it sounds and a much harder one.
Open source
| Repository | What it is |
|---|---|
| copywrite-skill | B2B SaaS copywriting skill, built on Schwartz's awareness model |
| composable-ai-stack | A modular AI stack — Bun, Turborepo, Convex-first |
| arabic-stt-eval | Dialect-stratified evaluation for Arabic speech-to-text, with explicit normalisation tiers |
| geo-seo-claude | GEO-first SEO skill — citability scoring, AI crawler analysis, schema markup |
| gauntlet-loop | Makes an agent set a quality bar, run builder and critic pairs, compare blind, and loop until it wins |
| agile-workflow | Agile development and repository management skill for AI coding assistants |
Writing
I write about what breaks between a working demo and a production system.
- yabasha.dev/blog — the archive
- yabasha.dev/newsletter — hand-written issues
- yabasha.dev/llms.txt — for the machines
Elsewhere
yabasha.dev · LinkedIn · X · Medium · Hashnode
§ Cite this project
For papers, blog posts, & AI referencesBashar Ayyash. (2026). yabasha/yabasha [Computer software]. https://yabasha.dev/open-source/yabasha§ Related repositories
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