How does Atlas handle F# file order during an audit?

Atlas reads your `.fsproj` files to understand the correct F# file order. This ensures its AST-based indexing accurately maps your F# modules, discriminated unions, and other constructs, which is critical for F# compilation and analysis.

Can Atlas run `dotnet test (Expecto)` on my F# project?

Yes, Atlas can run `dotnet test (Expecto)` behind a permission prompt. After making changes, you can ask Atlas to execute your F# tests and then review the diff before it commits any modifications.

Is it safe to let Atlas audit my F# codebase for problems?

Yes, for audits, Atlas recommends the `explore` subagent type, which is deny-by-default and read-only. This ensures no changes are made to your F# files during the sweep, and all tool calls are permission-gated.

How does Atlas prevent blowing the context window when sweeping a large F# repo?

Atlas fans out work to parallel subagents, each running in its own session. Only the subagents' final conclusions return to the main session, preventing large F# file dumps from consuming the primary context window.

Can Atlas help me format my F# code after an audit?

Absolutely. After applying fixes to your F# code, you can have Atlas run `fantomas` over the changed `.fs` files. Atlas will present a unified diff of the formatting changes for your approval before writing.

What F# specific constructs does Atlas understand?

Atlas understands F# specific constructs like discriminated unions, computation expressions, and the significance of file order from your `.fsproj`. It also recognizes common F# frameworks like Giraffe and Fable entry points.

How does Atlas ensure my F# code stays private during an audit?

Atlas can build its code index with local Ollama embeddings, keeping your F# code off third-party servers. This local processing, combined with permission-gated tool calls, enhances privacy and security.

Audit an F# Repository with Parallel Subagents in Atlas in 2026

Atlas empowers F# developers in 2026 to sweep entire repositories for specific problems without blowing the main session's context window, leveraging parallel subagents and respecting the F# toolchain. It integrates directly with `dotnet test (Expecto)` for verification, manages dependencies via `NuGet (dotnet add package)`, and ensures code style with `fantomas`, all while understanding F# specific constructs like discriminated unions and file order from your `.fsproj`.

How Atlas Audits F# Repositories with Parallel Subagents

Atlas enables F# developers in 2026 to audit large codebases by fanning out work to multiple subagents, preventing the main session's context window from exceeding its 128k token limit. This approach allows concurrent sweeps across different F# project directories or problem classes, ensuring comprehensive coverage without overwhelming the primary agent.

Atlas is designed to sweep an entire F# repository for a class of problem without blowing the main session's context window. It achieves this by launching subagents in their own isolated sessions. These subagents perform their tasks, such as searching for specific F# patterns or reviewing code, and only their final conclusions are returned to the main session. This prevents the large file dumps and intermediate thoughts from consuming valuable context. For F# projects, Atlas respects the file order defined in your `.fsproj` files, ensuring that its understanding of your modules, discriminated unions, and computation expressions is accurate. This capability is crucial for F# where compilation order matters significantly. By splitting the audit into independent slices,perhaps by F# project, module, or specific rule,Atlas can launch multiple `task` calls concurrently, each handled by a dedicated subagent.

Preparing Your F# Project for Atlas Audits

To effectively audit an F# repository with Atlas, ensure your project includes a `.fsproj` file, which Atlas reads to understand file order and project structure. This setup allows Atlas to correctly map F# constructs like discriminated unions and modules, crucial for accurate analysis in 2026.

Atlas integrates deeply with the F# ecosystem by reading your `.fsproj` files. This is a non-negotiable step for F# projects, as the language compiles files in a specific order, and Atlas uses this information to build its code index with AST declarations via tree-sitter. This ensures Atlas accurately understands your F# codebase, including complex types like discriminated unions, computation expressions, and any Giraffe or Fable entry points. Before initiating an audit, simply run Atlas within a solution that contains your `.fsproj`. Atlas can also build its code index using local Ollama embeddings, keeping your proprietary F# code off third-party servers. This local indexing capability, combined with Atlas's ability to search code with hybrid semantic and keyword retrieval fused by reciprocal rank fusion, provides a powerful and secure foundation for any F# repository sweep.

Running Read-Only F# Code Sweeps with Atlas `explore` Subagents

For safe, read-only audits of F# code, Atlas recommends using the `explore` subagent type, which is deny-by-default and prevents any modifications. You can launch 5 or more concurrent `explore` tasks, each targeting a specific F# directory or problem class, ensuring no changes are made to your `.fs` files.

When sweeping an F# repository for a class of problem, the `explore` subagent type is the ideal choice because it operates in a deny-by-default, read-only mode. This guarantees that no changes are made to your F# source files or project configurations during the audit process. To initiate a sweep, you would use the `task` tool, specifying `subagent_type explore`. For example, to find all instances of a specific pattern across different F# modules, you might issue several `task` calls concurrently, each using `grep` or `glob` to target a distinct set of `.fs` files or directories. Atlas's permission-gated tool calls mean that even within an `explore` subagent, any attempt to run a command like `dotnet test (Expecto)` or `NuGet (dotnet add package)` would require explicit approval, though for `explore` agents, such actions are typically blocked. This robust safety mechanism ensures your F# codebase remains untouched during the investigative phase.

Consolidating F# Audit Findings and Applying Fixes

After parallel subagents complete their F# code sweeps, Atlas collects each subagent's final message, surfacing any errors verbatim. You can then merge these findings into a unified `todowrite` list, allowing you to address 10 or more identified issues directly within your main Atlas session.

Once all `explore` subagents have completed their read-only F# audits, Atlas automatically collects their final messages. If a subagent encounters an issue or fails, its error text is surfaced verbatim, providing clear diagnostic information. The next step involves merging these individual findings into a single, actionable `todowrite` list. This list serves as a consolidated plan for addressing the identified problems within your F# codebase. For example, if subagents found several places where an `Option` pipeline could replace a null check, these would all appear in your `todowrite` list. You can then use the `edit` tool in your main Atlas session to implement these fixes. Every `edit` operation in Atlas computes a unified diff for the proposed file changes, which is presented for your approval before any writes occur. Furthermore, Atlas snapshots file changes as git patches, allowing edits to be easily diffed and rolled back if necessary. After applying fixes, you can ask Atlas to run `dotnet test (Expecto)` to verify changes and then `fantomas` over the changed `.fs` files to maintain F# code style, all behind permission prompts and diff reviews.

Step by step

01Split the F# audit: Divide your F# repository into independent slices, such as by `.fsproj` directory, F# module, or specific problem rule, to prevent subagent overlap.
02Launch parallel `explore` tasks: Issue multiple `task` calls concurrently, each specifying `subagent_type explore` for a read-only sweep of an F# slice. For example, `atlas task "grep for deprecated F# functions in src/Domain.fs" subagent_type explore`.
03Monitor subagent progress: Allow Atlas to run these tasks in parallel background sessions. The `task` tool will surface the child's error text verbatim if it fails, or "Task cancelled" if interrupted.
04Collect and merge findings: Gather each subagent's final message. Use the `todowrite` tool to consolidate all identified F# issues into a single actionable list within your main Atlas session.
05Fix F# code with `edit`: Address the consolidated issues using the `edit` tool. Atlas will compute a unified diff for every proposed change to your `.fs` files and prompt for approval before writing.
06Verify F# changes: After edits, ask Atlas to run `dotnet test (Expecto)` to ensure no regressions. Review the test results and the diff before committing.
07Format F# files: Have Atlas run `fantomas` over the changed `.fs` files to maintain consistent F# code style, again reviewing the diff before approval.
08Commit F# changes: Let Atlas stage and create commits on your behalf, leveraging its understanding of git branches and status.

Frequently asked questions

How does Atlas handle F# file order during an audit?: Atlas reads your `.fsproj` files to understand the correct F# file order. This ensures its AST-based indexing accurately maps your F# modules, discriminated unions, and other constructs, which is critical for F# compilation and analysis.
Can Atlas run `dotnet test (Expecto)` on my F# project?: Yes, Atlas can run `dotnet test (Expecto)` behind a permission prompt. After making changes, you can ask Atlas to execute your F# tests and then review the diff before it commits any modifications.
Is it safe to let Atlas audit my F# codebase for problems?: Yes, for audits, Atlas recommends the `explore` subagent type, which is deny-by-default and read-only. This ensures no changes are made to your F# files during the sweep, and all tool calls are permission-gated.
How does Atlas prevent blowing the context window when sweeping a large F# repo?: Atlas fans out work to parallel subagents, each running in its own session. Only the subagents' final conclusions return to the main session, preventing large F# file dumps from consuming the primary context window.
Can Atlas help me format my F# code after an audit?: Absolutely. After applying fixes to your F# code, you can have Atlas run `fantomas` over the changed `.fs` files. Atlas will present a unified diff of the formatting changes for your approval before writing.
What F# specific constructs does Atlas understand?: Atlas understands F# specific constructs like discriminated unions, computation expressions, and the significance of file order from your `.fsproj`. It also recognizes common F# frameworks like Giraffe and Fable entry points.
How does Atlas ensure my F# code stays private during an audit?: Atlas can build its code index with local Ollama embeddings, keeping your F# code off third-party servers. This local processing, combined with permission-gated tool calls, enhances privacy and security.

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