Autolang-A C++ VM with 2ms startup time and arena-restart memory model

Name: Autolang-A C++ VM with 2ms startup time and arena-restart memory model
Availability: InStock
Author: hoansdz

by hoansdz·Mar 1, 2026·2 points·0 comments

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AI Analysis

●●SolidBig BrainNiche Gem

2ms startup beats Lua, but 2x-5x slower at runtime—unfocused tradeoff.

Strengths

•Arena-restart memory model is genuinely clever for disposable task loops
•Single-pass compiler + 2ms cold startup solves real latency pain in agent frameworks

Weaknesses

•Runtime 2x-5x slower than Lua—undermines practical utility vs overhead tradeoff
•No benchmarks proving agent-loop startup actually dominates execution time in real workflows

Post Description

Hi HN, I’m a student and I’ve spent the last few months building Autolang—an embedded language and VM from scratch in C++.

I built it because I needed a specialized runtime for high-frequency, short-lived tasks (like AI agent loops) where Python/Lua startup latency and GC overhead become actual bottlenecks.

Core Architecture:

Arena-restart: No Tracing GC. It prioritizes allocation speed (~2x faster than Lua). Memory is wiped instantly between tasks via a restart() mechanism.

Fast Compilation: 100k classes compile in ~888ms (Single-pass).

Lightweight: The VM is designed for a ~2ms startup target.

The Trade-off: Execution is currently 2x-5x slower than Lua as I'm still optimizing the bytecode dispatch (if-chains).

I’d love to hear your thoughts on using Arena-restart for autonomous scripts and any advice on optimizing dispatch without bloating the startup time.