How can Atlas audit a large Swift monorepo without context window issues?

Atlas audits large Swift monorepos by fanning out work to parallel subagents, each operating in its own session. This ensures that only the subagent's conclusions return to the main session, preventing the main context window from being overwhelmed by raw code.

Can Atlas subagents run XCTest via swift test during an audit?

Yes, Atlas subagents of type 'general' can run 'XCTest via swift test' within a specific Swift package or target directory as part of an audit, allowing for dynamic testing and analysis of test results.

How does Atlas ensure no accidental changes are made to Swift files during an audit?

For read-only audits of Swift files, Atlas uses the 'explore' subagent type, which is deny-by-default. This means it cannot make any changes to files like 'Sources/MyFeature/Service.swift' unless explicitly allowed, providing a safe environment.

Does Atlas support Swift Package Manager for dependency analysis?

Yes, Atlas supports Swift Package Manager. Subagents can inspect 'Package.swift' files, analyze dependencies, and identify potential issues across multiple Swift packages within a repository.

How does Atlas search for specific Swift code patterns, like protocol adoptions?

Atlas searches Swift code using hybrid semantic and keyword retrieval, powered by AST declarations from tree-sitter. This allows it to precisely locate specific Swift code patterns, such as protocol adoptions in 'Sources/MyModule/Protocols.swift', with high accuracy.

Can Atlas help enforce swift-format rules across a Swift codebase?

Yes, Atlas can assist in enforcing 'swift-format' rules. A subagent can be tasked with analyzing the output of 'swift-format' on Swift files, identifying formatting inconsistencies, and reporting them back to the main session.

What happens if an Atlas subagent fails during a Swift audit task?

If an Atlas subagent fails during a Swift audit task, such as encountering an error while running 'swift test', the 'task' tool will surface the child's error text verbatim to the main Atlas session, providing immediate feedback.

Can Atlas help me refactor Swift code to adopt async/await?

While the audit workflow focuses on identification, Atlas can help with refactoring Swift code to adopt async/await in the main session. After an audit identifies areas for refactoring, the 'edit' tool can be used to propose and apply changes, with diffs for approval.

Audit a Swift Repo with Parallel Subagents in Atlas in 2026

Atlas enables Swift developers in 2026 to sweep an entire repository for a class of problems without blowing the main session's context window by fanning out work to parallel subagents. This approach allows Atlas to efficiently audit large Swift projects, leveraging the Swift Package Manager and XCTest via swift test, while keeping the main agent focused on merging findings.

How do Atlas parallel subagents audit Swift repositories?

Atlas in 2026 efficiently audits large Swift repositories by fanning out work to multiple subagents, each operating in its own session. This strategy prevents the main agent's context window from being overwhelmed, allowing for comprehensive sweeps across complex Swift Package Manager projects.

Atlas addresses the challenge of sweeping an entire Swift repository for specific problems without exhausting the main session's context window. It achieves this by launching subagents in their own isolated sessions. These subagents can be configured as 'explore' for read-only audits, which is ideal for sweeping a Swift codebase for a class of problems without making any changes. For instance, a Swift developer might want to audit all 'Sources/MyFeature/' directories for specific API usage patterns or check 'Package.swift' files across multiple packages for dependency issues. Each subagent processes its assigned slice of the repository, and only its final conclusions or error messages are returned to the main Atlas session. This ensures that the detailed file dumps and intermediate thoughts of the subagents never enter the main context, preserving its capacity for higher-level tasks like merging findings or orchestrating fixes. Atlas's ability to run these subagents concurrently significantly speeds up the audit process for large Swift projects.

What Swift commands and files are used in an Atlas audit?

Atlas integrates directly with the Swift toolchain, allowing subagents to interact with real Swift files and commands. In 2026, this includes running 'XCTest via swift test' for validation, inspecting 'Package.swift' files, and applying 'swift-format' for style checks within an audit.

When auditing a Swift repository, Atlas subagents can execute real Swift toolchain commands and interact with standard Swift file structures. For example, an 'explore' subagent tasked with auditing a specific Swift package might use 'grep' to search for deprecated API calls within 'Sources/MyModule/**/*.swift' files. If the audit requires checking test coverage or identifying failing tests, the subagent could be configured as a 'general' type to run 'XCTest via swift test' within a specific target's directory. Similarly, to enforce code style, a subagent could be instructed to analyze output from 'swift-format' applied to 'Sources/MyFeature/Models/User.swift'. Atlas's 'glob' tool can help subagents identify relevant files, such as all 'Package.swift' files across a monorepo to check for consistent dependency versions managed by Swift Package Manager. The subagents operate on these concrete files and commands, ensuring that the audit is grounded in the actual Swift development environment.

How does Atlas ensure safety and review during Swift audits?

Atlas prioritizes safety and developer review during Swift repository audits through permission-gated tool calls and distinct agent types. In 2026, the 'explore' subagent, which is deny-by-default and read-only, is the primary choice for audits where no changes should occur within a Swift codebase.

Atlas provides robust safety mechanisms for auditing Swift repositories. The 'explore' subagent type is specifically designed for read-only operations, making it the ideal choice for sweeping a repository for problems without the risk of unintended modifications. This subagent is deny-by-default, meaning it cannot execute commands that alter the filesystem unless explicitly allowed. Every Atlas tool call, whether from the main agent or a subagent, is permission-gated against 'allow', 'ask', and 'deny' rules. This ensures that a Swift developer always has control over what actions Atlas takes. Before any changes are made, Atlas drafts a plan in a read-only plan agent and asks for approval. If a 'general' subagent were used and tasked with fixing issues, Atlas would compute a unified diff for every file edit, such as changes to 'Sources/MyApp/AppDelegate.swift', and surface it for approval before writing. This comprehensive review process, combined with the ability to snapshot file changes as git patches, provides a secure and auditable workflow for Swift projects.

How does Atlas manage context windows for large Swift projects?

Atlas effectively manages context windows for large Swift projects by segmenting audit tasks across parallel subagents. This strategy, crucial in 2026, ensures that the main session's context window remains focused on high-level coordination, even when sweeping thousands of lines of Swift code.

The core problem Atlas solves for large Swift repositories is preventing the main session's context window from being overwhelmed. When sweeping an entire repository for a class of problems, such as identifying all instances of a specific protocol adoption in 'Sources/SharedKit/**/*.swift' or checking for unused imports across a multi-package Swift project, the sheer volume of code can quickly exceed a model's context capacity. Atlas mitigates this by launching subagents in parallel. Each subagent receives a specific, independent slice of the audit task, such as examining a single Swift Package Manager target or a particular directory like 'Sources/Utilities/'. Because only the subagent's final conclusions or error messages are returned to the main session, the extensive code details and intermediate processing remain confined to the subagent's isolated context. This allows the main Atlas session to maintain a clear and manageable context, focusing on merging the findings from various subagents into a unified 'todowrite' list, rather than being bogged down by raw code dumps.

How does Atlas index and search Swift code?

Atlas indexes Swift code using AST declarations via tree-sitter, providing precise and context-aware search capabilities. This method, available in 2026, allows Atlas to understand the structure of Swift files like 'Sources/MyApp/Views/ContentView.swift' far beyond simple line-based retrieval.

Atlas's ability to effectively audit Swift code stems from its sophisticated indexing and search capabilities. It indexes code by AST (Abstract Syntax Tree) declarations using tree-sitter, rather than relying on blind line windows. This means Atlas understands the structural components of Swift code, such as functions, classes, protocols, and variables within files like 'Sources/MyFramework/PublicAPI.swift'. This deep understanding allows for highly accurate and context-aware searches. For instance, when a subagent is tasked with finding all implementations of a specific Swift protocol, Atlas can perform a hybrid semantic and keyword retrieval fused by reciprocal rank fusion, pinpointing relevant declarations with high precision. Furthermore, Atlas can build its code index with local Ollama embeddings, ensuring that sensitive Swift code remains off third-party servers. This combination of structural indexing and secure, powerful search makes Atlas an invaluable tool for detailed and private audits of Swift repositories.

Step by step

01Split the Swift audit into independent slices: Divide the repository audit into manageable, non-overlapping tasks. For example, assign one subagent to audit 'Sources/FeatureA/' for specific Swift concurrency patterns, another to 'Sources/FeatureB/' for 'XCTest via swift test' coverage, and a third to all 'Package.swift' files for dependency version consistency using Swift Package Manager.
02Launch parallel Atlas subagents for read-only sweeps: Use the 'task' tool to launch multiple 'explore' subagents concurrently. For instance, 'task subagent_type explore "Audit Sources/FeatureA/ for deprecated APIs"' and 'task subagent_type explore "Check Sources/FeatureB/ for XCTest cases"' can run simultaneously.
03Issue task calls together for concurrent execution: Ensure all 'task' calls are issued in quick succession so Atlas can launch them in parallel background sessions, maximizing efficiency for sweeping large Swift codebases.
04Collect each subagent's final message: Monitor the main Atlas session for the conclusions returned by each subagent. If a subagent encounters an issue while running 'swift test' or analyzing 'swift-format' output, its error text will be surfaced verbatim.
05Merge findings into a 'todowrite' list: Consolidate the conclusions from all subagents into a single 'todowrite' list within the main Atlas session. This list might include items like "Refactor 'Sources/LegacyModule/OldClass.swift' to adopt async/await" or "Update 'Package.swift' dependency for 'MyLibrary'."
06Fix issues in the main session with 'edit': Use the 'edit' tool in the main Atlas session to address the items on the 'todowrite' list, leveraging Atlas's ability to propose changes, compute unified diffs, and stage commits for Swift files.

Frequently asked questions

How can Atlas audit a large Swift monorepo without context window issues?: Atlas audits large Swift monorepos by fanning out work to parallel subagents, each operating in its own session. This ensures that only the subagent's conclusions return to the main session, preventing the main context window from being overwhelmed by raw code.
Can Atlas subagents run XCTest via swift test during an audit?: Yes, Atlas subagents of type 'general' can run 'XCTest via swift test' within a specific Swift package or target directory as part of an audit, allowing for dynamic testing and analysis of test results.
How does Atlas ensure no accidental changes are made to Swift files during an audit?: For read-only audits of Swift files, Atlas uses the 'explore' subagent type, which is deny-by-default. This means it cannot make any changes to files like 'Sources/MyFeature/Service.swift' unless explicitly allowed, providing a safe environment.
Does Atlas support Swift Package Manager for dependency analysis?: Yes, Atlas supports Swift Package Manager. Subagents can inspect 'Package.swift' files, analyze dependencies, and identify potential issues across multiple Swift packages within a repository.
How does Atlas search for specific Swift code patterns, like protocol adoptions?: Atlas searches Swift code using hybrid semantic and keyword retrieval, powered by AST declarations from tree-sitter. This allows it to precisely locate specific Swift code patterns, such as protocol adoptions in 'Sources/MyModule/Protocols.swift', with high accuracy.
Can Atlas help enforce swift-format rules across a Swift codebase?: Yes, Atlas can assist in enforcing 'swift-format' rules. A subagent can be tasked with analyzing the output of 'swift-format' on Swift files, identifying formatting inconsistencies, and reporting them back to the main session.
What happens if an Atlas subagent fails during a Swift audit task?: If an Atlas subagent fails during a Swift audit task, such as encountering an error while running 'swift test', the 'task' tool will surface the child's error text verbatim to the main Atlas session, providing immediate feedback.
Can Atlas help me refactor Swift code to adopt async/await?: While the audit workflow focuses on identification, Atlas can help with refactoring Swift code to adopt async/await in the main session. After an audit identifies areas for refactoring, the 'edit' tool can be used to propose and apply changes, with diffs for approval.

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