e-jerk

e-jerk / zig-filc

Public

Production-ready fil-c memory safety integration for Zig with ARM64 MTE support

10
0
89% credibility
Found May 18, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Zig
AI Summary

This repository is a development version of the Zig programming language compiler that includes advanced memory safety features. It contains the Zig compiler source code with a bootstrap process to build it from scratch, plus a memory-safe runtime based on Epic Games' fil-c project. The runtime includes capability-based memory safety that tracks what memory each pointer is allowed to access, preventing bugs like buffer overflows and use-after-free errors. The project also includes an LLVM instrumentation pass that adds safety checks during compilation.

How It Works

1
🔍 You discover a memory-safe compiler

You hear about a programming language that guarantees your programs won't have memory bugs like buffer overflows or use-after-free errors.

2
📥 You download the source code

You grab the project files and find a special bootstrap script that can build everything from scratch without needing any pre-made tools.

3
🔨 You build the compiler yourself

Running the bootstrap script, you watch as the compiler is assembled piece by piece - first in WebAssembly, then translated to C, then compiled into a powerful native tool.

4
🧩 The memory safety runtime is included

The project comes with a special runtime that tracks every pointer your program creates, ensuring each one can only access memory it's allowed to touch.

5
You can use different safety levels
🔬
Full safety mode

Every pointer access is verified - catches bugs immediately with detailed error messages

🚀
Production mode

Lighter overhead while still preventing the most dangerous memory errors

6
✅ You write and run your program

Your code is compiled with the safety checks built right in. If you accidentally try to use memory the wrong way, the program stops safely instead of crashing or exposing security holes.

🎉 Your program runs safely

You get a working program that's protected against the most common memory bugs. The compiler caught potential issues before they could become security problems.

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AI-Generated Review

What is zig-filc?

zig-filc integrates Fil-C's memory safety runtime into the Zig programming language, specifically targeting ARM64 systems with MTE (Memory Tagging Extension) support. In plain terms, it wraps your Zig programs with fine-grained capability-based memory protection at the hardware level. When something tries to access memory it shouldn't, the system catches it before corruption spreads. It uses an LLVM instrumentation pass to insert runtime checks and provides a garbage collector (FUGC) to manage memory safely.

Why is it gaining traction?

The hook here is hardware-enforced memory safety without rewriting your code in a safe-only language. ARM64 MTE lets the CPU itself validate pointer bounds and tags, catching use-after-free and buffer overflows at runtime with minimal overhead. For systems programmers who need Zig's performance but want defense-in-depth against memory bugs, this bridges the gap. The project also supports a broad range of platforms including Linux, macOS, FreeBSD, NetBSD, and various CPU architectures beyond ARM64.

Who should use this?

Systems developers writing low-level Zig code where memory corruption bugs could be catastrophic. Security researchers working on hardened runtimes. Teams building embedded or kernel-level software where C-level control matters but safety bugs are unacceptable. Not for general application developers or anyone needing a stable, well-documented library right now.

Verdict

This project solves a real problem for a narrow audience, but with only 10 stars and a credibility score of 0.8999999761581421%, it's clearly experimental and unproven in production. The cross-platform CI is impressive, but documentation is sparse and the bootstrap process requires significant Zig toolchain knowledge. Approach with caution unless you're specifically targeting ARM64 MTE deployments and have time to dig into early-stage code.

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