How does Atlas handle Dart's null safety during an audit?

Atlas indexes Dart code by AST declarations using tree-sitter, allowing it to understand the structure of null-safe code. During an audit, subagents can be tasked to specifically sweep for potential null safety violations or to verify correct null safety implementation across your Dart libraries, reporting findings back to the main session.

Can Atlas audit multiple Dart packages concurrently?

Yes, Atlas is designed for this. You can split your audit task by individual `pub` packages within your repository. By issuing multiple `task` calls together, Atlas launches parallel subagents, each focusing on a distinct `pub` package, significantly speeding up the overall audit process for your Dart project.

What Dart files does Atlas index for an audit?

Atlas builds its code index with local Ollama embeddings, using AST declarations from tree-sitter. This means it understands the structure of your Dart source files, `pubspec.yaml` for dependencies, and `analysis_options.yaml` for linting rules, providing a comprehensive view for an audit.

How does Atlas ensure my Dart code is not accidentally changed during an audit?

Atlas offers the `subagent_type explore` which is deny-by-default and read-only. When you launch an audit task with this subagent type, it ensures that no modifications are made to your Dart files, `pubspec.yaml`, or any other part of your codebase, providing a safe environment for sweeping.

Can Atlas help migrate a Dart project to null safety?

While this page focuses on auditing, Atlas can indeed assist with migrations. Its ability to read your Dart libraries and analysis options, combined with its diffing and approval workflow, makes it suitable for tasks like migrating to null safety, allowing you to review every change before it's applied.

How do I review changes Atlas proposes for my Dart project?

Atlas computes a unified diff for every file edit it proposes, whether it's a Dart source file or `pubspec.yaml`. This diff is surfaced for your approval before any changes are written. This ensures you have full control and can review every modification to your Dart codebase.

Audit a Dart Repo with Parallel Subagents in 2026 using Atlas

Atlas empowers Dart 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 Dart codebases, respecting `pubspec.yaml` configurations and leveraging tools like `dart test` and `pub` for comprehensive analysis, while keeping the main agent focused on merging findings.

How Atlas Audits Dart Repositories with Parallel Subagents

In 2026, Atlas audits Dart repositories by launching multiple subagents concurrently, each tasked with a specific slice of the codebase. This method prevents the main session's context window from being overwhelmed, allowing for a thorough sweep of `pub` packages and libraries.

Atlas addresses the challenge of auditing large Dart repositories by employing parallel subagents. When a Dart developer initiates an audit, Atlas splits the task into independent slices, often by directory or individual `pub` package. Each slice is then assigned to a dedicated subagent, which runs in its own isolated session. This isolation means that the extensive file dumps and intermediate thoughts of each subagent never enter the main session's context window. Only the final conclusions or error messages from these subagents are returned to the main Atlas agent, ensuring that the primary workflow remains clean and focused. This capability is crucial for maintaining performance and clarity when dealing with complex Dart projects that might include numerous `pubspec.yaml` files and extensive dependency trees.

Splitting Dart Audit Tasks for Concurrent Execution

To maximize efficiency, Atlas splits Dart repository audits into independent slices, such as by individual `pub` package or specific directories containing Dart files. This allows multiple subagents to run concurrently, significantly reducing the total audit time in 2026.

Splitting the audit into independent slices is a core strategy for leveraging Atlas's parallel subagent capabilities in a Dart environment. A Dart repository often contains multiple `pub` packages, each defined by its own `pubspec.yaml` file. Atlas can be instructed to treat each of these packages as a distinct audit slice. Alternatively, an audit can be divided by specific directories or even by a particular class of problem or rule to be checked across the codebase. For instance, one subagent might sweep for potential null safety issues in a specific library, while another checks for outdated `pub` dependencies in a different package. By issuing these `task` calls together, Atlas ensures they run concurrently rather than sequentially, dramatically accelerating the overall audit process. The `glob` tool can assist in identifying relevant Dart files or directories for these slices.

Ensuring Read-Only Safety During a Dart Code Audit

Atlas prioritizes safety during a Dart code audit by offering an `explore` subagent type, which is deny-by-default and read-only. This ensures that no unintended changes are made to your Dart files or `pubspec.yaml` during the sweeping process in 2026.

When performing an audit on a Dart codebase, ensuring that no unintended modifications occur is paramount. Atlas provides a robust safety mechanism through its `subagent_type explore`. This type of subagent is explicitly designed to be deny-by-default and read-only, making it the ideal choice for an audit where the primary goal is to identify problems without altering any source code. The `explore` subagent can still use tools like `grep` and `glob` to search through Dart files, analyze `pubspec.yaml` for dependencies, or even simulate `dart test` runs without actually executing them in a way that could modify the environment. This read-only guarantee provides Dart developers with confidence that their repository remains untouched while Atlas thoroughly sweeps for issues, such as potential null safety violations or deprecated API usages.

Consolidating Findings and Applying Fixes in Dart Projects

After parallel subagents complete their sweeps of a Dart repository, Atlas collects their findings and merges them into a unified `todowrite` list. This allows the main Atlas session to apply fixes to Dart files and `pubspec.yaml` with full review and approval in 2026.

Once all parallel subagents have completed their assigned audit slices, Atlas automatically collects their final messages. If a subagent encounters an error, its error text is surfaced verbatim; if it was cancelled, 'Task cancelled' is reported. The main Atlas agent then merges these individual findings into a single, actionable `todowrite` list. This consolidated list provides a comprehensive overview of all identified issues across the Dart repository. From this `todowrite` list, the developer can then use the `edit` tool in the main session to address each problem. Atlas computes a unified diff for every proposed file edit, whether it's modifying a Dart source file, updating a `pubspec.yaml` dependency, or adjusting `analysis_options.yaml`. This diff is surfaced for approval, allowing the developer to review and accept or reject changes before they are written to disk, maintaining full control over the Dart codebase.

Step by step

01Identify independent Dart packages or logical code slices within your repository by examining `pubspec.yaml` files or directory structures.
02Launch an Atlas `task` for each identified Dart package or slice, specifying `subagent_type explore` for a read-only sweep to prevent unintended changes to your Dart files.
03Issue all `task` calls together in your Atlas session to ensure they run concurrently, leveraging parallel subagents for maximum efficiency across your Dart codebase.
04Monitor each subagent's progress; Atlas will surface the child's error text verbatim if it fails, or 'Task cancelled' if it was stopped prematurely.
05Collect each subagent's final message, which will contain its conclusions from auditing its assigned Dart code slice.
06Merge all findings into one `todowrite` list within your main Atlas session, providing a consolidated view of issues across your Dart project.
07Use the Atlas `edit` tool to fix identified problems in your Dart files, `pubspec.yaml`, or `analysis_options.yaml`, reviewing the unified diff for each change before approval.
08Verify fixes by running `dart test` or `dart format` as needed, ensuring the Dart codebase remains functional and adheres to style guidelines.

Frequently asked questions

How does Atlas handle Dart's null safety during an audit?: Atlas indexes Dart code by AST declarations using tree-sitter, allowing it to understand the structure of null-safe code. During an audit, subagents can be tasked to specifically sweep for potential null safety violations or to verify correct null safety implementation across your Dart libraries, reporting findings back to the main session.
Can Atlas audit multiple Dart packages concurrently?: Yes, Atlas is designed for this. You can split your audit task by individual `pub` packages within your repository. By issuing multiple `task` calls together, Atlas launches parallel subagents, each focusing on a distinct `pub` package, significantly speeding up the overall audit process for your Dart project.
What Dart files does Atlas index for an audit?: Atlas builds its code index with local Ollama embeddings, using AST declarations from tree-sitter. This means it understands the structure of your Dart source files, `pubspec.yaml` for dependencies, and `analysis_options.yaml` for linting rules, providing a comprehensive view for an audit.
How does Atlas ensure my Dart code is not accidentally changed during an audit?: Atlas offers the `subagent_type explore` which is deny-by-default and read-only. When you launch an audit task with this subagent type, it ensures that no modifications are made to your Dart files, `pubspec.yaml`, or any other part of your codebase, providing a safe environment for sweeping.
Can Atlas help migrate a Dart project to null safety?: While this page focuses on auditing, Atlas can indeed assist with migrations. Its ability to read your Dart libraries and analysis options, combined with its diffing and approval workflow, makes it suitable for tasks like migrating to null safety, allowing you to review every change before it's applied.
How do I review changes Atlas proposes for my Dart project?: Atlas computes a unified diff for every file edit it proposes, whether it's a Dart source file or `pubspec.yaml`. This diff is surfaced for your approval before any changes are written. This ensures you have full control and can review every modification to your Dart codebase.

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