How does Atlas ensure Haskell documentation is up-to-date?

Atlas reads your Haskell module's source code directly using tools like `lsp` and `read`, ensuring documentation reflects the current implementation, not outdated comments or assumptions from a year ago.

Can Atlas format the generated Haskell READMEs?

While Atlas writes the README content, it integrates with your existing Haskell toolchain. You can configure Atlas to apply `fourmolu` to any code snippets it generates or modifies within your Haskell project before committing.

What Haskell project structures does Atlas support for documentation?

Atlas works direct with Haskell projects managed by `cabal` or `stack`, reading `.cabal` files and `stack.yaml` to understand your module hierarchy, language extensions, and dependencies.

How does Atlas verify code examples in Haskell documentation?

Atlas uses the `bash` tool to execute every Haskell code sample it includes in the generated README, confirming that the examples are runnable and produce expected results, eliminating documentation liabilities.

Does Atlas understand Haskell type signatures and typeclasses?

Yes, Atlas is paired with Haskell to reason about your type signatures, typeclass instances, and Cabal targets, providing contextually accurate and intelligent documentation suggestions.

How can I review changes Atlas makes to my Haskell README?

Atlas presents a unified diff for every file edit, including READMEs, for your approval. It also snapshots changes as `git` patches, allowing for easy rollback if any documentation changes are not desired.

Can Atlas help fix type errors in Haskell code while documenting?

Yes, Atlas can run `cabal build` to surface GHC type errors in your Haskell code. It can then iterate on the diff to propose fixes until the code typechecks, ensuring the documented code is valid.

Document a Module with a README in Haskell with Atlas in 2026

Atlas empowers Haskell developers in 2026 to produce precise README documentation that reflects the current state of their modules, not outdated specifications. By integrating directly with your `cabal` project and leveraging tools like `lsp` for API enumeration and `read` for implementation details, Atlas ensures your documentation is always traceable to the actual source code, verified with `bash` for code samples, and formatted with `fourmolu`.

How Atlas Documents Haskell Modules Accurately in 2026

Atlas in 2026 provides a robust method for Haskell developers to generate README documentation that precisely reflects current module behavior. It achieves this by directly reading source code, rather than relying on memory or outdated comments, ensuring every claim is traceable to the actual implementation. This approach guarantees documentation accuracy for your `cabal` packages.

Atlas documents Haskell modules by executing a precise workflow that prioritizes current source code over historical context. First, it uses the `lsp` tool's `documentSymbol` operation to enumerate the module's public API, ensuring no exported function or type is missed or invented. Next, Atlas employs the `read` tool to analyze the implementation of each identified export, understanding its behavior. To provide practical context, `codebase_search` finds how callers actually use these exports within your Haskell project. Before writing, Atlas uses `grep` to locate an existing `README.md` file, matching its heading structure and tone to maintain consistency. Finally, the `write` tool emits the new `README.md`, quoting real Haskell type signatures and file paths directly from the source. This entire process ensures that the documentation is traceable and accurately describes what the Haskell code does today, not what it was intended to do a year ago.

Haskell Toolchain Integration: `cabal`, `fourmolu`, and `hspec` with Atlas

Atlas deeply integrates with the Haskell toolchain, recognizing `cabal` project files and `stack.yaml` configurations to understand your module hierarchy and dependencies. In 2026, this integration allows Atlas to reason about `default-extensions` and `build-depends` bounds, ensuring generated documentation is contextually aware and correct.

Atlas is specifically designed to pair with Haskell, enabling it to reason about your type signatures, typeclass instances, and Cabal targets. When documenting a module, Atlas operates within your existing Haskell project structure. It reads `.cabal` files or `stack.yaml` to understand your module hierarchy, language extensions specified in `default-extensions`, and `build-depends` bounds. For verification, Atlas can run `cabal build` to surface GHC type errors, then iterate on the diff until the code typechecks. Before committing, Atlas applies `fourmolu` to any changed modules, ensuring all Haskell code snippets in the documentation adhere to your project's formatting standards. If you need to add a test suite, Atlas can even add an `hspec` suite to the `test-suite` stanza, demonstrating its deep understanding of the Haskell development lifecycle.

Ensuring Documentation Quality and Safety with Atlas's Review Process

Atlas incorporates multiple safety and review mechanisms to ensure the quality and integrity of documentation generated for Haskell projects. Every Atlas tool call is permission-gated, and a read-only plan agent drafts changes before execution, providing developers with full control over the documentation process in 2026.

The documentation workflow with Atlas includes several critical steps for review and safety. Before any tool runs, every Atlas tool call is permission-gated against allow, ask, and deny rules, giving the Haskell developer explicit control. Atlas first drafts a plan in a read-only plan agent, asking for approval before switching to a build agent to execute changes. For every file edit, including the generated `README.md`, Atlas computes a unified diff and surfaces it for approval, allowing you to review precisely what will be written. Crucially, every Haskell code sample included in the documentation is verified by running it with `bash`; a sample that was never executed is considered a liability. Furthermore, Atlas snapshots file changes as `git` patches, so edits can be easily diffed and rolled back if necessary, providing a robust safety net for your Haskell codebase.

Step by step

01Initialize Atlas in your Haskell project, ensuring a `.cabal` file or `stack.yaml` is present for configuration.
02Ask Atlas to enumerate the module's public API using the `lsp` tool's `documentSymbol` operation, capturing all exported Haskell functions and types.
03Direct Atlas to `read` the implementation of each exported Haskell entity and use `codebase_search` to find how callers actually use it within your `cabal` package.
04Instruct Atlas to `grep` your repository for an existing `README.md` to match its heading structure and tone, maintaining project consistency.
05Have Atlas `write` the new `README.md` with the `write` tool, quoting real Haskell type signatures and file paths directly from your source code.
06Verify every Haskell code sample within the generated documentation by instructing Atlas to run it with `bash`, confirming its executability and correctness.
07Review the unified diff presented by Atlas for the `README.md` changes, ensuring all documentation accurately reflects your current Haskell code.
08Approve the changes, allowing Atlas to stage and create a `git` commit for the updated `README.md` on your behalf.

Frequently asked questions

How does Atlas ensure Haskell documentation is up-to-date?: Atlas reads your Haskell module's source code directly using tools like `lsp` and `read`, ensuring documentation reflects the current implementation, not outdated comments or assumptions from a year ago.
Can Atlas format the generated Haskell READMEs?: While Atlas writes the README content, it integrates with your existing Haskell toolchain. You can configure Atlas to apply `fourmolu` to any code snippets it generates or modifies within your Haskell project before committing.
What Haskell project structures does Atlas support for documentation?: Atlas works direct with Haskell projects managed by `cabal` or `stack`, reading `.cabal` files and `stack.yaml` to understand your module hierarchy, language extensions, and dependencies.
How does Atlas verify code examples in Haskell documentation?: Atlas uses the `bash` tool to execute every Haskell code sample it includes in the generated README, confirming that the examples are runnable and produce expected results, eliminating documentation liabilities.
Does Atlas understand Haskell type signatures and typeclasses?: Yes, Atlas is paired with Haskell to reason about your type signatures, typeclass instances, and Cabal targets, providing contextually accurate and intelligent documentation suggestions.
How can I review changes Atlas makes to my Haskell README?: Atlas presents a unified diff for every file edit, including READMEs, for your approval. It also snapshots changes as `git` patches, allowing for easy rollback if any documentation changes are not desired.
Can Atlas help fix type errors in Haskell code while documenting?: Yes, Atlas can run `cabal build` to surface GHC type errors in your Haskell code. It can then iterate on the diff to propose fixes until the code typechecks, ensuring the documented code is valid.

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