ymawky: A Web Server Written Entirely in ARM64 Assembly for macOS
By
imtomt
Toasted golden, schmeared with insight. Top of the rack.
Summary
ymawky is a web server written entirely in ARM64 assembly language, designed for macOS on Apple Silicon. It is a syscall-only, no-libc, fork-per-connection server built by hand. The project requires Xcode Command Line Tools and only runs on Apple Silicon (arm64). It aims to be portable but will likely need tweaks for Linux/other Unix systems.
Key quotes
· 4 pulledymawky (yuh maw kee), a web server written entirely in ARM64 assembly.
ymawky is a syscall-only, no libc, fork-per-connection web server written by hand.
While it is developed for MacOS, I've tried to make it as portable as possible -- however, it's likely you will still need to make some (hopefully minor) Significant tweaks to get this to run on Linux/other Unix systems.
ymawky only runs on apple silicon (arm64).
You might also wanna read
Four practical steps to control Azure Foundry token costs for agentic AI workloads
This article provides practical guidance on controlling token costs in Microsoft Azure Foundry, particularly for agentic AI workloads where
MerLean-Prover: A Recursive Agent Harness for Lean 4 Theorem Proving Outperforms Baselines
MerLean-Prover is an end-to-end Lean4 theorem prover that replaces 'sorry' declarations with kernel-checkable proofs using three agent types
Why small pull request policies can backfire on software quality
The article critiques a common software engineering policy that limits pull requests (PRs) to small sizes (e.g., 500 lines, few files). Whil
apenwarr.ca·2h agoHow Anthropic contains Claude's expanding access across its products
Anthropic describes how it has evolved its approach to granting Claude, its AI assistant, increasingly broad access to internal systems over
Testing Cursor's Jira integration: How ticket quality affects AI agent performance
Cursor launched a Jira integration that lets developers assign tickets directly to an AI agent, eliminating context switching. The author te
bit.ly·3h agoNetflix engineer's open-source tool cuts AI token usage by up to 90%
Netflix senior engineer Tejas Chopra created software called "Project Headroom" that prunes redundant tokens from AI agent instructions befo
