How does Atlas understand my Haskell project structure?

Atlas builds its code index using tree-sitter for AST declarations and reads your `.cabal` file to understand module hierarchy, `default-extensions`, and `build-depends` bounds, ensuring it reasons about your Haskell project accurately.

Can Atlas debug type errors in Haskell?

Yes, Atlas can help debug type errors. It runs `cabal build` to surface GHC type errors and then iterates on proposed diffs using its `edit` tool until the Haskell code typechecks successfully.

How does Atlas ensure code quality when fixing Haskell tests?

Atlas ensures code quality by applying `fourmolu` to changed Haskell modules before you approve the commit. It also presents a unified diff for every file edit, allowing you to review and approve changes.

What if the fix requires changes across multiple Haskell files?

For fixes spanning several hunks or multiple Haskell files, Atlas uses its `apply_patch` tool. This allows it to make comprehensive changes more reliably than chaining multiple small `edit` operations.

Does Atlas keep my Haskell code local?

Yes, Atlas can build its code index with local Ollama embeddings, keeping your Haskell code off third-party servers. All tool calls are permission-gated, and changes require your approval.

How does Atlas interact with `hspec` for testing?

Atlas uses its `bash` tool to execute `cabal test` commands, allowing it to run `hspec` tests with specific filter flags, re-run the full test suite, and capture output for analysis, just as you would manually.

Can Atlas help me understand complex Haskell typeclass instances?

While Atlas primarily focuses on code navigation and modification, its `lsp` tool understands type signatures and can help you trace definitions and references related to typeclass instances within your Haskell codebase.

Debug a single failing test in Haskell with Atlas in 2026

In 2026, Haskell developers can efficiently debug a single failing test using Atlas, the terminal-native AI coding agent. Atlas integrates directly with your existing Haskell toolchain, running `hspec` tests, navigating code with `lsp`, and applying fixes that respect your `cabal` project structure and `fourmolu` formatting.

How Atlas isolates a failing Haskell test with `hspec`

Atlas, in 2026, streamlines debugging by isolating a single failing `hspec` test within your Haskell project. It achieves this by leveraging the `bash` tool to execute `cabal test` with specific `hspec` filter flags, ensuring only the relevant test runs and produces minimal output for analysis.

To begin debugging a specific failing test in Haskell, Atlas utilizes its `bash` tool to run the `cabal test` command. This command is augmented with `hspec`'s powerful filtering capabilities, such as `--test-options='--match <test-pattern>'`, which allows Atlas to target only the problematic test. Before executing, Atlas can use its `read` tool to inspect your project's `.cabal` file, identifying the correct test-suite stanza and its name. This precise isolation ensures that the output is focused, making it easier for Atlas to reason about the failure without being overwhelmed by a full test suite's verbose logging. The ability to run `hspec` tests in isolation, just as a developer would manually, is a core strength of Atlas's approach to debugging Haskell.

Navigating Haskell code with Atlas's `lsp` tool

To understand why a Haskell test fails, Atlas employs its `lsp` tool to walk the call graph, starting from the failing assertion. This capability, available in 2026, allows Atlas to precisely trace function definitions and references across your module hierarchy, respecting `cabal` targets and type signatures.

Once a failing `hspec` test is isolated, Atlas uses its `lsp` tool to delve into the Haskell codebase. Unlike agents that rely on blind line windows, Atlas indexes code by AST declarations using tree-sitter, providing a deep understanding of your Haskell project. It leverages `lsp` operations like `goToDefinition` and `findReferences` to trace the execution path from the failing assertion back through the production code. This allows Atlas to understand the interplay of type signatures, typeclass instances, and module imports, all within the context of your `cabal` targets. By accurately walking the call graph, Atlas can identify the specific functions and data flows contributing to the test failure, forming a precise mental model of the bug.

Forming and testing hypotheses in Haskell with Atlas

After analyzing the call graph, Atlas forms a hypothesis about the failing Haskell test and uses its `edit` and `bash` tools to verify it. This iterative process, common in 2026, involves adding temporary `Debug.Trace` logging or re-running `hspec` with verbose flags to gather more runtime information.

With a clear understanding of the Haskell code's execution flow, Atlas formulates a hypothesis regarding the root cause of the test failure. To validate this hypothesis, Atlas employs its `edit` tool to strategically insert temporary logging statements, such as `Debug.Trace.trace` or `putStrLn`, into the relevant Haskell source files. Alternatively, it can use the `bash` tool to re-run the isolated `hspec` test with additional verbose flags, like `cabal test --test-options='--verbose'`, to capture more detailed runtime information. This iterative process of modifying code, running tests, and analyzing output allows Atlas to confirm or refine its understanding of the bug, mimicking a human developer's debugging workflow but at an accelerated pace.

Fixing Haskell code and ensuring type safety with Atlas

When Atlas identifies the root cause of a failing Haskell test, it proceeds to fix the production code using its `edit` or `apply_patch` tools. A crucial step in 2026 involves Atlas running `cabal build` to surface GHC type errors, ensuring the proposed changes maintain the project's strong type guarantees.

Upon confirming the bug's location and nature, Atlas moves to fix the production Haskell code. For minor adjustments, it uses the `edit` tool to make precise modifications. If the fix spans several hunks or requires more extensive changes across multiple modules, Atlas employs `apply_patch` to ensure a robust and coherent update. A non-negotiable step in this process is Atlas's ability to run `cabal build`. This command surfaces any GHC type errors introduced by the proposed changes. Atlas then iterates on the diff, making further `edit` operations until the Haskell project typechecks successfully, respecting `default-extensions` and `build-depends` bounds defined in the `.cabal` file. This ensures that the fix not only resolves the test failure but also maintains the integrity of Haskell's strong type system.

Reviewing and committing changes in a Haskell project with Atlas

Before finalizing any fix for a failing Haskell test, Atlas presents a unified diff for approval, ensuring transparency and control for the developer. In 2026, Atlas also applies `fourmolu` to changed modules and integrates with `git` to stage and create commits, maintaining code quality and version control best practices.

The final stage of debugging a Haskell test with Atlas involves a thorough review and commit process. Atlas computes a unified diff for every file edit, surfacing it for your approval before any changes are written to disk. This permission-gated approach ensures you always have the final say. Furthermore, Atlas automatically applies `fourmolu` to all changed Haskell modules, guaranteeing that the code adheres to your project's formatting standards. Atlas also reads `git` branches, status, and diffs, and can stage and create commits on your behalf, streamlining the version control workflow. It even snapshots file changes as `git` patches, allowing edits to be easily diffed and rolled back if necessary, providing a robust safety net for your Haskell development.

Step by step

01Ask Atlas to run `cabal test --test-suite=<suite-name> --test-options='--match <test-pattern>'` using the `bash` tool to isolate the specific `hspec` test.
02Instruct Atlas to use the `lsp` tool's `goToDefinition` and `findReferences` operations to trace the execution flow from the failing assertion through your Haskell modules.
03Have Atlas use the `edit` tool to insert temporary `Debug.Trace.trace` calls or re-run the test with `bash` and `cabal test --test-options='--verbose'` to gather more information.
04Direct Atlas to modify the relevant Haskell source files using `edit` for small changes or `apply_patch` for more extensive fixes, ensuring the code, not the assertion, is addressed.
05After edits, prompt Atlas to run `cabal build` to check for GHC type errors, then let it iterate on the diff until the project typechecks correctly.
06Ask Atlas to re-run the single `hspec` test, then the full `cabal test` suite, and finally remove any temporary `Debug.Trace` logging added in step 3.
07Instruct Atlas to apply `fourmolu` to the changed Haskell modules and then stage and create a `git` commit for the approved changes.

Frequently asked questions

How does Atlas understand my Haskell project structure?: Atlas builds its code index using tree-sitter for AST declarations and reads your `.cabal` file to understand module hierarchy, `default-extensions`, and `build-depends` bounds, ensuring it reasons about your Haskell project accurately.
Can Atlas debug type errors in Haskell?: Yes, Atlas can help debug type errors. It runs `cabal build` to surface GHC type errors and then iterates on proposed diffs using its `edit` tool until the Haskell code typechecks successfully.
How does Atlas ensure code quality when fixing Haskell tests?: Atlas ensures code quality by applying `fourmolu` to changed Haskell modules before you approve the commit. It also presents a unified diff for every file edit, allowing you to review and approve changes.
What if the fix requires changes across multiple Haskell files?: For fixes spanning several hunks or multiple Haskell files, Atlas uses its `apply_patch` tool. This allows it to make comprehensive changes more reliably than chaining multiple small `edit` operations.
Does Atlas keep my Haskell code local?: Yes, Atlas can build its code index with local Ollama embeddings, keeping your Haskell code off third-party servers. All tool calls are permission-gated, and changes require your approval.
How does Atlas interact with `hspec` for testing?: Atlas uses its `bash` tool to execute `cabal test` commands, allowing it to run `hspec` tests with specific filter flags, re-run the full test suite, and capture output for analysis, just as you would manually.
Can Atlas help me understand complex Haskell typeclass instances?: While Atlas primarily focuses on code navigation and modification, its `lsp` tool understands type signatures and can help you trace definitions and references related to typeclass instances within your Haskell codebase.

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