📚 Stack Machines - abnv · Scour

Introducing Kite Terminal Mode

nithinkamath.me·2d

💻Terminal UIs

flat assembler - Large File Support DOS chastehex

board.flatassembler.net·3d

📦Executable Size

Kjetil's Information Center - CHIP-8 Interpreter using Curses

kobolt.website·2d

⚡Interpreter Optimization

Why Your AI Assistant Should Run at Home

dev.to·10h·

Discuss: DEV

🏰Capability Machines

Daytona raises $24M Series A to build agent-native compute infrastructure

tech.eu·2d

🛡️Capability VMs

Building MoniBot: Why We Ditched OpenClaw and Built Our Own Autonomous Agent in 48 Hours

dev.to·4h·

Discuss: DEV

🔮Metacircular Evaluators

Presentation: Expanding Swift from Apps to Services

infoq.com

·2d

🦉Swift Generics

An Analysis of User-space Idle State Instructions on x86 Processors

danglingpointers.substack.com·3d·

Discuss: Substack

📅Instruction Scheduling

CIPS Stack – 5 memory systems that give your AI agents persistent memory

cipscorps.io·3d·

Discuss: Hacker News

🧠Memory Ordering

Xcode 26 LLM Markdown Summaries Are Actually Useful for Humans

christiantietze.de·2d

🎮Language Ergonomics

hsutter/cppfront: A personal experimental C++ Syntax 2 -> Syntax 1 compiler

github.com·2d·

Discuss: r/cpp

🪄C Metaprogramming

NetGent: Agent-based automation of network application workflows

blog.apnic.net·3d

📡Async Channels

google/re2: RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library.

github.com·1d

🔤Regex Engines

QASM: A Novel Framework for QUIC-Aware Stateful Middleboxes

arxiv.org·4d

🌐Network Protocols

ClawApp: The easiest way to automate tasks with OpenClaw

producthunt.com·2d

🚂Cranelift IR

CodeShield AI – Open-source security scanner (24% cheaper than GitGuardian)

lydiamorgan85.github.io·3d·

Discuss: Hacker News

🚂Cranelift IR

The Stretto Execution Engine for LLM-Augmented Data Systems

arxiv.org·3d

I run local LLMs daily, but I'll never trust them for these tasks

xda-developers.com·1d

🏰Capability Machines

Taking on Anthropic's Public Performance Engineering Interview Challenge

matthewtejo.substack.com·4d·

Discuss: r/programming

⚡Interpreter Optimization

Performance Tip of the Week #74: Avoid sweeping street lights under rugs

abseil.io·16h

🔗Weak References

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