Zen Mascot

I build simple solutions
for complex problems.

Hi, I'm Ghazi. I build lightweight tools for developers, focused on performance, clarity, and privacy-first systems.

See my projects
file_type_python file_type_mysql
Currently Building

docmd

Build production-ready documentation from Markdown in seconds. No React, no bloat, just content.

DocumentationMarkdownCLIBunNode.jsTypeScript
Check it out →
docmd

memoryblock

Private AI workspaces that run locally, using fewer tokens and less compute.

AILLMPrivateLocalWeb AppCLILibraryBunTypeScript

AIMonitor

Native macOS menu bar app for monitoring AI usage, quotas, and provider status in real time.

macOSSwiftAIMenu BarOpen Source

Latest Rollups

View all →
Sep 11, 2026

Why Proxies Win at Scale: ZGateway's Lessons for Platform Teams

How Meta's ZGateway proxy tier solved the connection mesh problem at scale, and what this teaches us about infrastructure design choices.

Sep 11, 2026

Stack Overflow Brings Back Developer Story: What It Means for Your Career

Stack Overflow is resurrecting Developer Story to showcase individual developer expertise. Here's why this matters for your technical identity and the future of verification.

Sep 10, 2026

Why AI Coding Agents Should Target Java

Java's stability and massive ecosystem make it the ideal target for AI coding agents. Here's why that matters for your development future.

Sep 10, 2026

When More Data Hurts: Transfer Learning's Hidden Costs in Genomic Prediction

Larger datasets aren't always better. Google Research reveals how transfer learning from European biobanks can actually degrade predictions for underrepresented populations.

Sep 10, 2026

What GitHub's August Outages Reveal About Platform Resilience

GitHub experienced five incidents in August revealing infrastructure challenges. What this means for developers relying on CI/CD and the broader platform architecture debate.

Sep 10, 2026

AlphaGenome Atlas: 9 Billion Mutations Now Searchable

Google DeepMind's new AlphaGenome Atlas makes predictions for all 9 billion single-nucleotide variants in the human genome accessible to researchers. What this means for biotech and AI.