Zig Best Practices

Type-First Development

Types define the contract before implementation. Follow this workflow:

1. Define data structures - structs, unions, and error sets first
2. Define function signatures - parameters, return types, and error unions
3. Implement to satisfy types - let the compiler guide completeness
4. Validate at comptime - catch invalid configurations during compilation

Make Illegal States Unrepresentable

Use Zig's type system to prevent invalid states at compile time.

Tagged unions for mutually exclusive states:

// Good: only valid combinations possible
const RequestState = union(enum) {
    idle,
    loading,
    success: []const u8,
    failure: anyerror,
};

fn handleState(state: RequestState) void {
    switch (state) {
        .idle => {},
        .loading => showSpinner(),
        .success => |data| render(data),
        .failure => |err| showError(err),
    }
}

// Bad: allows invalid combinations
const RequestState = struct {
    loading: bool,
    data: ?[]const u8,
    err: ?anyerror,
};

Explicit error sets for failure modes:

// Good: documents exactly what can fail
const ParseError = error{
    InvalidSyntax,
    UnexpectedToken,
    EndOfInput,
};

fn parse(input: []const u8) ParseError!Ast {
    // implementation
}

// Bad: anyerror hides failure modes
fn parse(input: []const u8) anyerror!Ast {
    // implementation
}

Distinct types for domain concepts:

// Prevent mixing up IDs of different types
const UserId = enum(u64) { _ };
const OrderId = enum(u64) { _ };

fn getUser(id: UserId) !User {
    // Compiler prevents passing OrderId here
}

fn createUserId(raw: u64) UserId {
    return @enumFromInt(raw);
}

Comptime validation for invariants:

fn Buffer(comptime size: usize) type {
    if (size == 0) {
        @compileError("buffer size must be greater than 0");
    }
    if (size > 1024 * 1024) {
        @compileError("buffer size exceeds 1MB limit");
    }
    return struct {
        data: [size]u8 = undefined,
        len: usize = 0,
    };
}

Non-exhaustive enums for extensibility:

// External enum that may gain variants
const Status = enum(u8) {
    active = 1,
    inactive = 2,
    pending = 3,
    _,
};

fn processStatus(status: Status) !void {
    switch (status) {
        .active => {},
        .inactive => {},
        .pending => {},
        _ => return error.UnknownStatus,
    }
}

Module Structure

Larger cohesive files are idiomatic in Zig. Keep related code together: tests alongside implementation, comptime generics at file scope, public/private controlled by pub. Split only when a file handles genuinely separate concerns. The standard library demonstrates this pattern with files like std/mem.zig containing 2000+ lines of cohesive memory operations.

Instructions

• Return errors with context using error unions (!T); every function returns a value or an error. Explicit error sets document failure modes.
• Use errdefer for cleanup on error paths; use defer for unconditional cleanup. This prevents resource leaks without try-finally boilerplate.
• Handle all branches in switch statements; include an else clause that returns an error or uses unreachable for truly impossible cases.
• Pass allocators explicitly to functions requiring dynamic memory; prefer std.testing.allocator in tests for leak detection.
• Prefer const over var; prefer slices over raw pointers for bounds safety. Immutability signals intent and enables optimizations.
• Avoid anytype; prefer explicit comptime T: type parameters. Explicit types document intent and produce clearer error messages.
• Use std.log.scoped for namespaced logging; define a module-level log constant for consistent scope across the file.
• Add or update tests for new logic; use std.testing.allocator to catch memory leaks automatically.

Examples

Explicit failure for unimplemented logic:

fn buildWidget(widget_type: []const u8) !Widget {
    return error.NotImplemented;
}

Propagate errors with try:

fn readConfig(path: []const u8) !Config {
    const file = try std.fs.cwd().openFile(path, .{});
    defer file.close();
    const contents = try file.readToEndAlloc(allocator, max_size);
    return parseConfig(contents);
}

Resource cleanup with errdefer:

fn createResource(allocator: std.mem.Allocator) !*Resource {
    const resource = try allocator.create(Resource);
    errdefer allocator.destroy(resource);

    resource.* = try initializeResource();
    return resource;
}

Exhaustive switch with explicit default:

fn processStatus(status: Status) ![]const u8 {
    return switch (status) {
        .active => "processing",
        .inactive => "skipped",
        _ => error.UnhandledStatus,
    };
}

Testing with memory leak detection:

const std = @import("std");

test "widget creation" {
    const allocator = std.testing.allocator;
    var list: std.ArrayListUnmanaged(u32) = .empty;
    defer list.deinit(allocator);

    try list.append(allocator, 42);
    try std.testing.expectEqual(1, list.items.len);
}

Memory Management

• Pass allocators explicitly; never use global state for allocation. Functions declare their allocation needs in parameters.
• Use defer immediately after acquiring a resource. Place cleanup logic next to acquisition for clarity.
• Prefer arena allocators for temporary allocations; they free everything at once when the arena is destroyed.
• Use std.testing.allocator in tests; it reports leaks with stack traces showing allocation origins.

Examples

Allocator as explicit parameter:

fn processData(allocator: std.mem.Allocator, input: []const u8) ![]u8 {
    const result = try allocator.alloc(u8, input.len * 2);
    errdefer allocator.free(result);

    // process input into result
    return result;
}

Arena allocator for batch operations:

fn processBatch(items: []const Item) !void {
    var arena = std.heap.ArenaAllocator.init(std.heap.page_allocator);
    defer arena.deinit();
    const allocator = arena.allocator();

    for (items) |item| {
        const processed = try processItem(allocator, item);
        try outputResult(processed);
    }
    // All allocations freed when arena deinits
}

Logging

• Use std.log.scoped to create namespaced loggers; each module should define its own scoped logger for filtering.
• Define a module-level const log at the top of the file; use it consistently throughout the module.
• Use appropriate log levels: err for failures, warn for suspicious conditions, info for state changes, debug for tracing.

Examples

Scoped logger for a module:

const std = @import("std");
const log = std.log.scoped(.widgets);

pub fn createWidget(name: []const u8) !Widget {
    log.debug("creating widget: {s}", .{name});
    const widget = try allocateWidget(name);
    log.debug("created widget id={d}", .{widget.id});
    return widget;
}

pub fn deleteWidget(id: u32) void {
    log.info("deleting widget id={d}", .{id});
    // cleanup
}

Multiple scopes in a codebase:

// In src/db.zig
const log = std.log.scoped(.db);

// In src/http.zig
const log = std.log.scoped(.http);

// In src/auth.zig
const log = std.log.scoped(.auth);

Comptime Patterns

• Use comptime parameters for generic functions; type information is available at compile time with zero runtime cost.
• Prefer compile-time validation over runtime checks when possible. Catch errors during compilation rather than in production.
• Use @compileError for invalid configurations that should fail the build.

Examples

Generic function with comptime type:

fn max(comptime T: type, a: T, b: T) T {
    return if (a > b) a else b;
}

Compile-time validation:

fn createBuffer(comptime size: usize) [size]u8 {
    if (size == 0) {
        @compileError("buffer size must be greater than 0");
    }
    return [_]u8{0} ** size;
}

Avoiding anytype

• Prefer comptime T: type over anytype; explicit type parameters document expected constraints and produce clearer errors.
• Use anytype only when the function genuinely accepts any type (like std.debug.print) or for callbacks/closures.
• When using anytype, add a doc comment describing the expected interface or constraints.

Examples

Prefer explicit comptime type (good):

fn sum(comptime T: type, items: []const T) T {
    var total: T = 0;
    for (items) |item| {
        total += item;
    }
    return total;
}

Avoid anytype when type is known (bad):

// Unclear what types are valid; error messages will be confusing
fn sum(items: anytype) @TypeOf(items[0]) {
    // ...
}

Acceptable anytype for callbacks:

/// Calls `callback` for each item. Callback must accept (T) and return void.
fn forEach(comptime T: type, items: []const T, callback: anytype) void {
    for (items) |item| {
        callback(item);
    }
}

Using @TypeOf when anytype is necessary:

fn debugPrint(value: anytype) void {
    const T = @TypeOf(value);
    if (@typeInfo(T) == .Pointer) {
        std.debug.print("ptr: {*}\n", .{value});
    } else {
        std.debug.print("val: {}\n", .{value});
    }
}

Error Handling Patterns

• Define specific error sets for functions; avoid anyerror when possible. Specific errors document failure modes.
• Use catch with a block for error recovery or logging; use catch unreachable only when errors are truly impossible.
• Merge error sets with || when combining operations that can fail in different ways.

Examples

Specific error set:

const ConfigError = error{
    FileNotFound,
    ParseError,
    InvalidFormat,
};

fn loadConfig(path: []const u8) ConfigError!Config {
    // implementation
}

Error handling with catch block:

const value = operation() catch |err| {
    std.log.err("operation failed: {}", .{err});
    return error.OperationFailed;
};

Configuration

• Load config from environment variables at startup; validate required values before use. Missing config should cause a clean exit with a descriptive message.
• Define a Config struct as single source of truth; avoid std.posix.getenv scattered throughout code.
• Use sensible defaults for development; require explicit values for production secrets.

Examples

Typed config struct:

const std = @import("std");

pub const Config = struct {
    port: u16,
    database_url: []const u8,
    api_key: []const u8,
    env: []const u8,
};

pub fn loadConfig() !Config {
    const db_url = std.posix.getenv("DATABASE_URL") orelse
        return error.MissingDatabaseUrl;
    const api_key = std.posix.getenv("API_KEY") orelse
        return error.MissingApiKey;
    const port_str = std.posix.getenv("PORT") orelse "3000";
    const port = std.fmt.parseInt(u16, port_str, 10) catch
        return error.InvalidPort;

    return .{
        .port = port,
        .database_url = db_url,
        .api_key = api_key,
        .env = std.posix.getenv("ENV") orelse "development",
    };
}

Optionals

• Use orelse to provide default values for optionals; use .? only when null is a program error.
• Prefer if (optional) |value| pattern for safe unwrapping with access to the value.

Examples

Safe optional handling:

fn findWidget(id: u32) ?*Widget {
    // lookup implementation
}

fn processWidget(id: u32) !void {
    const widget = findWidget(id) orelse return error.WidgetNotFound;
    try widget.process();
}

Optional with if unwrapping:

if (maybeValue) |value| {
    try processValue(value);
} else {
    std.log.warn("no value present", .{});
}

Advanced Topics

Reference these guides for specialized patterns:

• Building custom containers (queues, stacks, trees): See GENERICS.md
• Interfacing with C libraries (raylib, SDL, curl, system APIs): See C-INTEROP.md
• Debugging memory leaks (GPA, stack traces): See DEBUGGING.md

References

• Language Reference: https://ziglang.org/documentation/0.15.2/
• Standard Library: https://ziglang.org/documentation/0.15.2/std/
• Code Samples: https://ziglang.org/learn/samples/
• Zig Guide: https://zig.guide/