Why Teams Actually Migrate from C/C++ to Zig

The shit that makes you want to throw your laptop

Look, nobody migrates to Zig because it's "better." You migrate because your current toolchain is making you miserable in very specific ways, and Zig fixes those exact problems while introducing completely new ways to hate your life.

Cross-Compilation Hell

Cross-compilation in C++ is a nightmare that has broken more teams than I can count.

You know the drill

  • Docker containers, custom toolchains, arcane CMake flags, and sacrificing small animals to the build gods just to get ARM binaries that might work.

Zig Cross-Compilation Targets: Out of the box, Zig supports x86_64, ARM, AArch64, i386, RISC-V, and Web

Assembly across Linux, macOS, Windows, FreeBSD, and more

  • all without external toolchains.

Zig Cross Compilation vs C++

Go Cross-Compilation Failed vs Zig Success

Zig actually fixed this.

Like, properly fucking fixed it. zig build-exe main.zig -target arm-linux and you're done. No Docker containers eating your RAM, no hunting down the right cross-compiler version, no CMake files that look like they were written by someone having a stroke. TigerBeetle's team builds their financial database for multiple platforms with one command.

I tested this myself

  • it just works. First time in 15 years of C++ that cross-compilation didn't make me want to change careers.
Template Hell

C++ templates are where productivity goes to die. You've seen it: 400-line error messages from std::map<int, std::vector<std::string>> because you forgot a const somewhere.

Template error messages are basically cryptographic puzzles written by sadists.

Zig's comptime does the same generic programming but with error messages written by humans.

When it breaks, you can actually figure out why. The Zig Language Reference explains this in detail, and Andrew Kelley's blog post shows how comptime eliminates template complexity.

fn GenericHashMap(comptime K: type, comptime V: type) type {
    return struct {
        // Clear, debuggable generic implementation
        // No template instantiation mysteries
    };
}
Memory Management Transparency

Unlike C where malloc might be hidden in library calls, or C++ where new can be overloaded, Zig's explicit allocator pattern makes every allocation visible:

Allocator Interface Pattern: Every allocation goes through `std.mem.

Allocator`, making memory usage explicit and allowing arena, page, fixed-buffer, and custom allocator strategies.

var list = std.ArrayList(i32).init(allocator);
defer list.deinit(); // Memory management is obvious

This transparency proved crucial for embedded teams where every byte matters and hidden allocations were causing mysterious crashes.

The Zig allocator design and MicroZig framework show how this works in practice.

The official memory documentation explains why explicit allocation matters.

Migration Patterns That Actually Work

The Only Migration Strategy That Works

Don't try to rewrite everything at once.

You'll fail, your team will hate you, and you'll be back to C++ in three months. The teams that actually ship code do this:

## Step 1:

 Use Zig as C compiler
zig cc -c legacy_module.c

## Step 2: Replace individual modules
zig build-exe main.zig legacy_module.c

Start with using Zig to compile your existing C code.

No rewriting, no new syntax, just a different compiler. Once you trust that Zig won't break your shit, then maybe start converting one module at a time. The Zig as a C Compiler post explains this approach, and Uber's migration story shows how they used Zig to cross-compile ARM infrastructure.

Library Wrapping Strategy

Instead of rewriting entire C++ libraries, successful teams create Zig wrappers around critical functionality:

const c = @cImport({
    @cInclude(\"legacy_graphics.h\");
});

pub fn initRenderer(allocator:

 Allocator) !Renderer {
    const c_renderer = c.create_renderer();
    if (c_renderer == null) return error.Init

Failed;
    return Renderer{ .handle = c_renderer };
}

This allows teams to modernize their interfaces while keeping battle-tested C/C++ implementations intact.

What Nobody Tells You About Migration

The Compiler is Slow as Hell

Zig's compiler is fucking slow on large codebases. Not "oh this takes 30 seconds" slow

  • I'm talking "go get coffee, maybe lunch" slow. Bun's team documented spending 181 minutes per week just waiting for builds.

That's over 3 hours of staring at a terminal cursing at progress bars that don't move.

![Bun Team Compile Time Tracking

The Zig Language Server (ZLS) crashes constantly and doesn't catch basic type errors.

I've had it crash on a simple struct definition. You'll find yourself compiling code just to discover you misspelled a variable name. Coming from CLion catching my fuckups as I type, this feels like programming with vi on a 1980s terminal.

Breaking Changes Every Release

Zig is pre-1.0, which means your code will break with every update. The 0.15.1 release notes list dozens of breaking changes.

Teams regularly spend entire weekends just getting their code to compile again after updates.

Budget 1-2 days of pain every time there's a new release. And by "1-2 days" I mean "however long it takes to figure out that std.debug.panic got moved to std.debug.assert or some other arbitrary API shuffle." This gets old fast when you have actual features to ship.

Tiny Community

The Zig community is tiny compared to C++. Stack Overflow has maybe a dozen answers for complex Zig questions. Most of the time you'll be reading source code on GitHub or asking questions on Ziggit and waiting for someone to respond.

The Zig Discord is more active but still small.

It's isolating compared to the massive C++ ecosystem.

The Unexpected Benefits

Error Handling That Actually Works

Zig's explicit error handling is genuinely better than C++ exceptions or C return codes:

Error Union Flow: Functions return `!

Ttypes where!means "may return an error". Usetryto propagate orcatch` to handle

  • no exceptions thrown at runtime.
const result = parse

Config(path) catch |err| switch (err) {
    error.FileNotFound => return error.ConfigMissing,
    error.ParseError => return error.InvalidConfig,
    else => return err,
};

Instead of segfaults at 3am, you get clear error messages that tell you exactly what went wrong. No more hunting through core dumps to figure out why your config parser shit the bed.

CMake Can Go Die

Zig's build system is just Zig code. No weird CMake DSL, no autotools black magic. It's refreshing:

Build System Architecture: Zig's build system is just Zig code

  • no DSL, no XML, no complex dependency graphs.

Define targets, link libraries, and configure builds programmatically.

const exe = b.add

Executable(.{
    .name = \"myapp\",
    .root_source_file = .{ .path = \"src/main.zig\" },
    .target = target,
    .optimize = optimize,
});
exe.linkLibC();

I've seen teams throw out hundreds of lines of CMake bullshit and replace it with 50 lines of readable Zig. When your build file makes sense, everything else gets easier. The Zig Build System Guide has examples, and this comparison with CMake shows why developers prefer it.

Performance Reality Check

Compilation Speed Sucks

Forget the marketing about fast compilation. Bun's 850k line codebase takes 90 seconds for debug builds.

That's not fast by any measure. A well-tuned C++ project with ccache and incremental builds often beats this.

The Zig team is working on parallel code generation which improved their own compiler builds by 27%, but large codebases still hurt.

Runtime Performance is Actually Good

Once your code compiles, it runs fast. TigerBeetle's financial database gets C-level performance in production.

Zig doesn't add garbage collection overhead or hidden allocations that kill performance.

Should You Actually Do This?

Here's the real question: are you solving an actual problem with Zig, or just chasing shiny new tech?

Don't migrate if:

  • Your team is mostly junior developers
  • You have tight deadlines in the next 6 months
  • Your C++ code already works fine
  • You can't afford months of reduced productivity

Maybe consider it if:

  • Cross-compilation is killing your productivity
  • Template error messages make you want to quit programming
  • You have senior developers who can read source code when docs are missing
  • Your management understands this will cost time and money upfront

What Actually Changes When You Migrate

Migration Type

What's Easy

What Sucks

What's Better

What's Worse

C to Zig Migration

Your existing C code mostly works. Drop your .c files into a Zig build and watch it compile. Kind of magical.

Learning Zig's explicit allocator patterns. Every malloc() call you used to ignore now requires you to think about which allocator to pass around. Gets verbose fast.

Cross-compilation actually works without Docker hell. Error handling that tells you what went wrong instead of just segfaulting.

ZLS crashes when you look at it wrong. Community is small

  • good luck finding help for weird edge cases at 3am.

C++ to Zig Migration

Getting away from template hell and CMake bullshit. Finally, build files written by humans for humans.

Relearning everything.

No STL, no RAII, no operator overloading. Your C++ knowledge becomes a liability

  • I spent a week looking for std::vector before accepting that ArrayLists work differently.

Comptime that doesn't produce 400-line error messages that require a PhD in template metaprogramming to decode.

Years of C++ muscle memory now works against you. I keep typing std:: and expecting magic constructors that don't exist.

What Actually Happens When You Migrate

TigerBeetle: The Success Story Everyone Points To

TigerBeetle is the poster child for Zig migrations. They built a financial database from scratch in Zig and it works well. Their team knows what they're doing and had the luxury of starting mostly fresh. You can see their technical details and performance benchmarks to understand why they chose Zig.

What they got right:

  • They had experienced systems programmers who didn't give up when ZLS crashed for the 50th time that day
  • They used Zig's allocator system to avoid all runtime allocation - crucial for financial code that can't pause for GC
  • comptime replaced their C preprocessor hell - no more #ifdef mazes
  • Explicit error handling caught bugs that would crash a financial system and cost millions

What sucked:

  • The team was less productive for months while learning Zig. "Months" meaning "at least 6, probably closer to 12"
  • They rewrote their networking code multiple times due to Zig changes. Every point release broke something.
  • ZLS kept crashing so they had to compile constantly to find basic errors. Like, typos. Fucking typos.

TigerBeetle works, but they had the perfect conditions: experienced team, greenfield project, and serious funding. Their Jepsen analysis shows the database passes rigorous testing, and InfoQ's interview explains their design decisions.

Bun: The Reality of Large Codebases

Bun is fast as hell and built with Zig, but their development experience shows what working with Zig at scale actually looks like.

The pain:

  • 90-second debug builds for their ~850k line codebase. That's debug. For release builds, go grab dinner.
  • 5+ minutes for release builds, and that's after they optimized the hell out of it
  • Developers spend 3 hours per week just waiting for compilation. Three hours. Per week. That's 150 hours per year per developer.
  • ZLS crashes constantly, forcing them to compile just to find typos. I've seen developers run zig build to check if they spelled "length" correctly.

Zig Compilation Time Reality

The payoff:

  • Bun is genuinely faster than Node.js
  • Installation is way faster than npm
  • Performance is actually impressive

Performance Benchmarks: Bun consistently outperforms Node.js in HTTP throughput (52k vs 34k requests/sec), bundle operations (3x faster), and package installation (20x faster).

// Change one line, wait 90 seconds to find out if it compiles
const result = try parseJson(allocator, input_buffer);

This is what large-scale Zig development looks like: fast runtime, slow development cycle.

Embedded Systems: Where Zig Actually Shines

Cross-compilation hell is real in embedded development. Teams regularly spend weeks setting up toolchains for different ARM targets. Zig fixes this problem completely. The MicroZig project provides embedded Zig support, and this Uber case study shows how they solved ARM64 cross-compilation.

What works:

  • zig build-exe main.zig -target arm-cortex-m4 just works
  • No more Docker containers full of cross-compilation toolchains
  • Memory management becomes explicit and predictable
  • Build files that make sense instead of CMake hell

What doesn't:

  • You still need to understand embedded programming concepts
  • The ecosystem is small - don't expect Arduino-style hand-holding
  • Debugging embedded Zig is still embedded debugging

The catch: If you need regulatory approval (medical devices, etc.), expect to spend months re-certifying your toolchain. Compliance adds serious time and cost.

For embedded teams tired of toolchain nightmares, Zig might actually be worth the migration pain.

When Migration Fails: Game Engine Hell

Game engines are full of C++ template magic and complex dependencies. One small studio tried migrating to Zig and gave up after 8 months.

Why it didn't work:

  • No Zig equivalent to their physics library (Bullet Physics)
  • Math operations were templated C++ everywhere
  • Junior developers couldn't handle explicit memory management
  • Zig updates kept breaking their code

The lesson: If your codebase is heavily templated C++, don't migrate. If your team has junior developers, don't migrate. If you can't afford months of reduced productivity, don't migrate.

Migration only works for teams with specific problems that Zig solves. "Zig looks cool" isn't a good enough reason.

Threading: Still a Mess

Zig's threading is primitive compared to modern C++. If your code does complex multithreading, prepare for pain.

The problem: No high-level threading abstractions like C++11's threading library. Producer-consumer patterns require manual implementation.

The workaround: Wrap C threading libraries, which defeats the point of migration. Some teams use POSIX threads directly or third-party solutions like Mach's threading library.

If threading is central to your application, Zig might not be ready for you.

What Makes Migrations Work (Or Fail)

Successful migrations:

  • Senior developers who know systems programming
  • Gradual replacement, not big rewrites
  • Migrating to solve specific problems (cross-compilation, memory management)
  • Writing new code in Zig, keeping old code working
  • Teams that can handle compiler updates breaking things

Failed migrations:

  • Junior teams thinking Zig will be "easier" than C++
  • Trying to rewrite everything at once
  • Migrating for cool language features instead of solving real problems
  • Complex C++ template dependencies
  • Tight deadlines that can't handle productivity drops

Is It Getting Better?

What's improved:

What's still broken:

  • ZLS crashes constantly and misses basic errors
  • Every release breaks your code
  • Compile times still suck for large projects
  • Tiny ecosystem compared to C++

Bottom line: Zig works for specific problems with experienced teams. It's not a drop-in C++ replacement and won't be for years.

The real question: Do you have a specific problem that Zig solves better than your current toolchain? For most teams, the answer is no.

Questions Nobody Wants to Ask

Q

How long does this actually take?

A

If you're experienced with C++, expect months of pain.

Maybe a year or more for large codebases. Don't try to rewrite everything at once

  • you'll burn out and give up. I've watched teams do this.Your team will be slower for months while learning Zig. Plan for it. Bun took over a year to get comfortable, and they're some of the best systems programmers around. If it took them a year, it'll take your team longer. Just being honest.
Q

Can I use my existing C/C++ libraries?

A

C libraries work great. Just use @cImport:

const c = @cImport({
    @cInclude("sqlite3.h");
});

C++ libraries are a fucking nightmare. You'll need to write C wrapper functions around C++ APIs. Header-only libraries are easier, but anything with complex C++ features (templates, RAII, exceptions) will make you want to throw your laptop out the window. I spent two days trying to wrap a simple Boost.Beast HTTP client before giving up and writing raw socket code.

Q

Is Zig stable enough for production?

A

Stable enough if you have a team that can deal with breaking changes every release. TigerBeetle and Bun are shipping production code, but they also have dedicated people to handle compiler updates.

Every Zig release breaks something. Pin your version in production and expect to spend days migrating to newer versions. Seriously, the 0.15.0 to 0.15.1 migration broke half my error handling code because they changed how error unions work. Use zigup to manage multiple compiler versions or you'll go insane.

Q

How's the error handling compared to C++ exceptions?

A

Completely different. Zig forces you to handle errors explicitly:

// You have to deal with errors
const result = parseConfig() catch |err| switch (err) {
    error.FileNotFound => return error.ConfigMissing,
    else => return err,
};

// vs C++ where exceptions can come from anywhere
auto config = parseConfig(); // might throw, who knows?

It's verbose as hell at first, but you'll stop getting mysterious crashes at 3am because you actually know where errors can happen. No more hunting through stack traces wondering which deep library call threw an exception.

Q

Is memory management harder than C++ RAII?

A

It's more explicit. You have to clean up after yourself:

var list = std.ArrayList(i32).init(allocator);
defer list.deinit(); // You have to remember this

// vs C++ where cleanup is automatic
std::vector<int> list; // Cleans itself up

Coming from C++, the manual cleanup feels verbose and annoying. But at least you know exactly what's happening with memory instead of guessing what destructors are doing behind your back. No more surprise allocations in seemingly innocent operations.

Q

Can I migrate gradually or do I have to rewrite everything?

A

Gradual migration is the only way that doesn't end in failure. Do this:

  1. Use zig cc to compile your existing C code first
  2. Replace one module at a time, starting with the simple stuff
  3. Write C wrappers around complex C++ libraries
  4. Write new features in Zig, keep the old stuff working

Don't try to rewrite everything at once. Teams that attempt big rewrites always give up after a few months when deadlines start looming.

Q

How slow are the compile times?

A

Slower than you'd like. Small projects are fine, but large codebases are painful:

  • Bun's 850k lines: 90 seconds for debug builds
  • Even smaller codebases can take 30+ seconds
  • A well-tuned C++ project with ccache often beats this

The Zig team is working on incremental compilation and parallel code generation, but it's still not great for large projects.

Q

What C++ features don't exist in Zig?

A

A bunch of stuff you might be used to:

  • Destructors/RAII - use defer statements instead
  • Operator overloading - write explicit function calls
  • Multiple inheritance - use composition
  • Template specialization - use comptime branching
  • Exceptions - use explicit error types
  • Function overloading - every function needs a unique name

If your code relies heavily on these features, migration is going to suck.

Q

Is cross-compilation actually better than C++?

A

Yes. This is the one area where Zig genuinely kicks ass:

## Zig: just works
zig build-exe main.zig -target arm-linux

## C++: welcome to hell
sudo apt-get install gcc-arm-linux-gnueabihf
export CC=arm-linux-gnueabihf-gcc
## now configure your build system
## now debug why it doesn't work
## now sacrifice a goat

Cross-compilation hell is real, and Zig fixes it. This alone might justify the migration pain if you target multiple platforms.

Q

Should junior developers learn Zig?

A

Stick with C++ for now. Zig requires you to understand:

  • Manual memory management
  • Systems programming concepts
  • How to debug compiler issues when things break
  • How to read source code when docs don't exist

If your team is mostly junior developers, don't attempt a Zig migration. They'll struggle with explicit memory management and the lack of hand-holding.

Q

How's the Zig ecosystem?

A

Tiny. You'll be missing a lot of libraries you're used to:

  • HTTP frameworks - nothing like Boost.Beast or cpp-httplib
  • Cryptography - no OpenSSL equivalent
  • GUI - forget about Qt or GTK
  • Databases - basic SQLite support, that's it

Most Zig projects end up wrapping C libraries for anything beyond basic functionality. Be prepared to write a lot of glue code.

Q

When should I definitely NOT do this?

A

Don't migrate if:

  • Your team is mostly junior developers
  • You have deadlines in the next year
  • Your code is heavily templated (Boost, Eigen, etc.)
  • You're building GUI applications
  • You're doing web development
  • Your company is risk-averse
  • You need compliance certifications
  • Your codebase has complex inheritance hierarchies

If any of these apply, just use Zig for new components and leave your existing C++ alone.

Should You Migrate? The Real Decision Process

Problem

Zig

C++

Cross-compilation hell

Wins hands down. It just works.

Docker container hell with mysterious toolchain failures.

CMake nightmare

Build system is clean and understandable.

Modern alternatives like Meson exist for C++, so this isn't a must-have feature.

Template debugging

Comptime errors are clearer than C++ template errors.

This is a real benefit if you've ever spent a day decoding STL error messages.

Memory safety

Manual memory management isn't necessarily safer.

AddressSanitizer and Valgrind work fine for C++.

Dependency management

Package system is basic.

Has vcpkg and Conan.

Performance

Gives you explicit control, can be fast.

Has mature profiling tools, can be fast.

Developer productivity

Has a learning curve and crashes.

Has mature tooling.

Code complexity

Is simpler than modern C++.

Modern C++ can be complex, but that doesn't automatically make it better.

Is Zig Getting Better?

Compiler Improvements

Zig's self-hosted backend is getting faster - about 3x faster than the old LLVM backend for small programs. Parallel code generation is improving build times.

What this means: Maybe the 90-second build times will get better. "Maybe" being the operative word. But large codebases will still be slow compared to well-tuned C++ builds with ccache and proper incremental compilation.

Language Server Still Sucks

ZLS crashes constantly and doesn't catch basic type errors. They're supposedly working on it, but coming from CLion or Visual Studio, the experience is painful.

Don't expect this to get dramatically better soon. Budget for a worse IDE experience during migration. I'm talking "Notepad++ with syntax highlighting" level of support.

Standard Library Changes

The allocator APIs are stabilizing, which means they'll stop breaking your code every release. The I/O interfaces are getting reworked because the current ones are confusing.

More platforms are supported, but the core experience is still "fix your code with every update." Plan your weekend around Zig releases.

Who's Actually Using Zig?

Zig Language Logo Mark

Performance & Adoption Comparison: Both Zig and Rust target systems programming, but Rust has much wider adoption and ecosystem support while Zig focuses on simplicity and C interoperability.

Financial systems: TigerBeetle is the poster child. They built a financial database and it works. That's pretty much it for proven production financial systems.

JavaScript runtimes: Bun is fast and written in Zig. Other teams are paying attention, but nobody else has shipped anything significant yet.

Embedded systems: Cross-compilation that actually works is appealing to embedded teams. The MicroZig project exists, but the ecosystem is still tiny compared to what's available for C.

The reality: Adoption is still very early. A few high-profile success stories don't make a trend. Most of the "production Zig" you hear about is either TigerBeetle, Bun, or someone's side project.

What's Missing

Database libraries: No mature ORMs. Basic SQLite support and that's about it.

Authentication: No LDAP, OAuth, or enterprise auth libraries worth mentioning.

GUI frameworks: Nothing like Qt or GTK. Building desktop apps is basically impossible.

Debugging tools: Limited debugger support, no mature profiling tools, basic static analysis. LLDB works but it's not integrated like Visual Studio debugger.

Testing frameworks: Zig's built-in testing is minimal compared to Google Test or Catch2.

The ecosystem is tiny. If you need anything beyond basic systems programming, you'll be building it yourself or wrapping C libraries.

Will Zig Replace C++?

Probably not. C++ has a massive installed base and decades of libraries. Zig is still pre-1.0 with a tiny ecosystem.

More likely scenarios:

  • Zig becomes the go-to choice for new systems programming projects
  • Teams use Zig for performance-critical components while keeping C++ everywhere else
  • Embedded teams migrate away from C to Zig for cross-compilation benefits
  • Zig replaces C more than C++ in many cases

The adoption pattern will probably look like domain-specific niches rather than wholesale replacement.

C++ Isn't Standing Still

The C++ committee is working on improvements:

  • Modules (C++20/23) to reduce header complexity
  • Concepts (C++20) to make template errors less insane
  • Better memory safety tools and static analysis
  • Build system improvements

C++ has decades of momentum and isn't going away.

Should You Migrate Today?

Only if you have a specific problem that Zig solves better than your current setup.

Cross-compilation hell? Template debugging nightmares? Build system complexity? Those are real problems Zig might fix.

Don't migrate because:

  • Zig looks cool
  • You think it's "the future"
  • You're bored with C++
  • You read a blog post about how amazing it is

Migration is expensive and painful. Make sure you're solving a real problem, not chasing shiny new technology because some YouTuber said C++ is dead.

The honest truth: Most teams should wait. Zig is getting better, but it's not ready for most production codebases. If you're not solving a specific pain point - like, actually losing sleep over cross-compilation or template debugging - stick with what works. Your users don't give a shit what language you use as long as the software works.

Zig Migration Resources

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/tool/uv/overview
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