How does Atlas handle Zig's explicit allocators?

Atlas reads your `build.zig` and the allocator you thread through call sites, leveraging its AST indexing to understand the explicit allocator strategy and its usage across your Zig codebase.

Can Atlas understand Zig's comptime?

Yes, Atlas indexes code by AST declarations using Tree-sitter, enabling it to deeply understand `comptime` blocks, their logic, and their impact on the Zig project's architecture and behavior.

How does Atlas ensure my Zig code stays formatted?

Atlas automatically runs `zig fmt` on any files it touches during its operations. This ensures that all modifications or generated code adhere to Zig's official formatting standards, maintaining codebase consistency.

Is Atlas safe to use on a production Zig codebase?

Atlas employs a multi-layered safety approach. Every tool call is permission-gated, plans are drafted in a read-only agent, and all proposed file edits are presented as unified diffs for your explicit approval before writing to your Zig project.

How does Atlas find relevant Zig files without me knowing the structure?

Atlas uses `codebase_search` with hybrid semantic and keyword retrieval, indexing code by AST declarations. This allows it to find relevant Zig files based on your plain-language questions, even in unfamiliar `build.zig` layouts.

Can Atlas help me add a new dependency to my Zig project?

Yes, Atlas can add a dependency using `zig fetch --save`, wire it into your `build.zig`, and then present the `build.zig.zon` diff for your review, streamlining the dependency management process for Zig.

What if I want to explore a Zig codebase without making any changes?

You can delegate wide sweeps to the `explore` subagent. It is defined with a deny-by-default permission set that only allows read-only operations like `grep`, `glob`, `read`, `bash`, `webfetch`, and `websearch` within your Zig project.

Onboard to an Unfamiliar Zig Codebase with Atlas in 2026

Atlas empowers Zig developers in 2026 to rapidly build a working mental model of unfamiliar repositories without reading every file, by starting from meaning and integrating directly with the Zig toolchain. It leverages its semantic index to understand `build.zig`, `comptime` blocks, and explicit allocators, and direct incorporates `zig build test`, `zig fetch (build.zig.zon)`, and `zig fmt` to provide a native and efficient Zig development experience.

How does Atlas explore an unfamiliar Zig project's structure?

In 2026, Atlas begins exploring an unfamiliar Zig project by leveraging its semantic index and directory mapping capabilities, rather than relying on guesswork. It quickly identifies key files like `build.zig` and `build.zig.zon` to establish a foundational understanding of the repository's architecture.

Atlas initiates the onboarding process by asking `codebase_search` a plain-language question, such as 'how requests are authenticated in this Zig project'. This tool queries Atlas's semantic index, which is built by AST declarations using Tree-sitter, not blind line windows, ensuring a deep understanding of Zig's unique syntax and structures. Concurrently, Atlas runs `glob` on the top-level directories to visualize the package layout and naming conventions, immediately highlighting critical files like `build.zig` and `build.zig.zon`. This initial phase allows Atlas to form an accurate mental map of the codebase's shape and purpose before any files are opened, providing a significant advantage over traditional manual exploration.

How does Atlas understand Zig's comptime and explicit allocators?

Atlas, in 2026, deeply understands Zig's architectural pillars like `comptime` and explicit allocators by reading specific files and following definitions. It uses the `lsp` tool's `goToDefinition` operation to trace these critical elements, ensuring a precise grasp of their implementation and usage across the codebase.

After identifying initial key files through `codebase_search`, Atlas proceeds to `read` the two or three highest-ranked files. For Zig code, this often means immediately encountering `comptime` blocks and explicit allocator declarations. Atlas then utilizes the `lsp` tool's `goToDefinition` operation to follow imports and trace the usage of these core Zig features. This allows Atlas to build a comprehensive understanding of how allocators are threaded through call sites and how `comptime` is leveraged for compile-time computation and code generation. For wider sweeps or more complex architectural analysis, Atlas delegates tasks to the `explore` subagent. This subagent operates with a deny-by-default permission set, allowing it to safely use tools like `grep`, `glob`, `read`, `bash`, `webfetch`, and `websearch` to gather information without making any modifications to the Zig project.

How does Atlas help write and run Zig tests?

Atlas streamlines the testing workflow for Zig developers in 2026 by adhering to Zig's convention of placing test blocks alongside the functions they cover. It can add new test blocks and then execute them using the `zig build test` command, feeding any errors directly back into the development cycle.

When a Zig developer needs to add a new test, Atlas can intelligently add a test block directly within the same file as the function it covers, which is the established Zig convention. This ensures tests are co-located with their respective code, improving maintainability. Once tests are in place, Atlas can run the project's tests using the actual Zig test runner command: `zig build test`. This operation is always performed behind a permission prompt, giving the developer full control. If `zig build test` reports any errors, Atlas automatically feeds these diagnostics back into the next iteration, allowing for rapid debugging and refinement. This tight integration with the native Zig toolchain ensures that Atlas's testing assistance feels natural and efficient for any Zig developer.

How does Atlas manage Zig dependencies and formatting?

Atlas simplifies dependency management for Zig projects in 2026 by directly interacting with `zig fetch` and `build.zig.zon` files. It also ensures code quality by automatically applying `zig fmt` to any modified files, maintaining consistency across the codebase without manual intervention.

Managing dependencies in a Zig project involves the `build.zig.zon` file and the `zig fetch` command. Atlas can add a new dependency by executing `zig fetch --save <package-name>`, automatically wiring it into the `build.zig` file. Before committing any changes, Atlas presents a unified diff for the modified `.zon` file, allowing the developer to review and approve the dependency addition. This transparent process ensures that all dependency changes are explicit and controlled. Furthermore, to maintain code consistency and adhere to Zig's strict formatting standards, Atlas automatically finishes its work by running `zig fmt` on all touched files. This ensures that any code Atlas modifies or generates is immediately brought into compliance with the project's formatting rules, reducing friction and maintaining a clean codebase.

How does Atlas ensure safe changes in a Zig codebase?

Atlas prioritizes safety and developer control in 2026 through a multi-layered permission system and transparent change review. Every Atlas tool call, including those interacting with `zig build test` or `zig fetch`, is permission-gated, and all proposed file edits are presented as unified diffs for explicit approval.

Atlas is designed with robust safety mechanisms to protect your Zig codebase. Every Atlas tool call, whether it's running `zig build test`, modifying `build.zig`, or executing `zig fetch`, is permission-gated against allow, ask, and deny rules before it runs. This means you always have explicit control over what Atlas executes. Before making any changes, Atlas drafts a plan in a read-only plan agent, which you review and approve before it switches to a build agent. For every file edit, Atlas computes a unified diff and surfaces it for your approval before writing, ensuring complete transparency. Atlas also snapshots file changes as git patches, allowing edits to be easily diffed and rolled back if needed. Finally, any open questions or findings during the onboarding process can be recorded as a `todowrite` list, ensuring that critical information survives into the next turn and is not lost.

Step by step

01Start by asking Atlas to semantically search your unfamiliar Zig codebase: `atlas codebase_search "how requests are authenticated in this Zig project"`.
02Run `atlas glob "build.zig" "build.zig.zon" "src/**/*.zig"` to quickly map the top-level directory structure and locate key Zig configuration files.
03Use `atlas read <path/to/highest_ranked_file.zig>` on the top two or three files identified by `codebase_search`, then follow `comptime` blocks and imports with `atlas lsp goToDefinition`.
04Delegate wider architectural sweeps to the read-only `explore` subagent: `atlas task explore "understand the explicit allocator strategy used throughout this Zig codebase"`.
05Record any open questions or findings about the Zig project's design using `atlas todowrite "What is the purpose of the FooBar module in build.zig?"`.
06Ask Atlas to add a new test block for a specific function in its corresponding Zig file, adhering to the Zig convention.
07Execute the project's tests with `atlas run zig build test`, reviewing the permission prompt and feeding any errors back into Atlas for iteration.
08Add a new dependency to the Zig project using `atlas add dependency 'foo/bar' with zig fetch --save`, then review the generated `build.zig.zon` diff.
09Finish by ensuring all touched Zig files are correctly formatted: `atlas run zig fmt on touched files`.

Frequently asked questions

How does Atlas handle Zig's explicit allocators?: Atlas reads your `build.zig` and the allocator you thread through call sites, leveraging its AST indexing to understand the explicit allocator strategy and its usage across your Zig codebase.
Can Atlas understand Zig's comptime?: Yes, Atlas indexes code by AST declarations using Tree-sitter, enabling it to deeply understand `comptime` blocks, their logic, and their impact on the Zig project's architecture and behavior.
How does Atlas ensure my Zig code stays formatted?: Atlas automatically runs `zig fmt` on any files it touches during its operations. This ensures that all modifications or generated code adhere to Zig's official formatting standards, maintaining codebase consistency.
Is Atlas safe to use on a production Zig codebase?: Atlas employs a multi-layered safety approach. Every tool call is permission-gated, plans are drafted in a read-only agent, and all proposed file edits are presented as unified diffs for your explicit approval before writing to your Zig project.
How does Atlas find relevant Zig files without me knowing the structure?: Atlas uses `codebase_search` with hybrid semantic and keyword retrieval, indexing code by AST declarations. This allows it to find relevant Zig files based on your plain-language questions, even in unfamiliar `build.zig` layouts.
Can Atlas help me add a new dependency to my Zig project?: Yes, Atlas can add a dependency using `zig fetch --save`, wire it into your `build.zig`, and then present the `build.zig.zon` diff for your review, streamlining the dependency management process for Zig.
What if I want to explore a Zig codebase without making any changes?: You can delegate wide sweeps to the `explore` subagent. It is defined with a deny-by-default permission set that only allows read-only operations like `grep`, `glob`, `read`, `bash`, `webfetch`, and `websearch` within your Zig project.

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