How does Atlas prevent context window issues when auditing a large GraalVM project?

Atlas prevents context window issues by fanning out work to parallel subagents. Each subagent operates in its own isolated session, processing a specific slice of the GraalVM repository, and only its final conclusions return to your main session.

How do I ensure an Atlas audit of my GraalVM repo is read-only?

To ensure a read-only audit of your GraalVM repository, launch subagents with `subagent_type explore`. This subagent type is deny-by-default and read-only, preventing any modifications to your codebase.

What GraalVM tools does Atlas integrate with for auditing?

Atlas integrates directly with core GraalVM toolchain elements. It can read `pom.xml` files for `native-maven-plugin` configurations, understand `META-INF/native-image` metadata, run `mvn -Pnative test` for verification, and apply `Spotless` for formatting.

How does Atlas handle fixing issues found in a GraalVM audit?

Atlas consolidates audit findings into a `todowrite` list. You can then use the `edit` tool in the main session to apply fixes, such as adding missing `reflect-config.json` entries. Atlas also computes unified diffs for approval and can run the GraalVM tracing agent.

Can Atlas help with GraalVM reflection and resource configuration problems?

Absolutely. Atlas is designed to work with GraalVM native-image builds, where reflection, resources, and dynamic proxies must be declared ahead of time. It can identify missing declarations and help add the necessary `reflect-config.json` entries.

Is it safe to let Atlas run `mvn -Pnative test` during an audit?

Yes, it is safe. Atlas runs `mvn -Pnative test` behind a permission prompt, requiring your explicit approval. All tool calls are permission-gated, and any proposed file changes are presented as unified diffs for your review before writing.

Audit a GraalVM Repo with Parallel Subagents in 2026

In 2026, GraalVM developers can sweep an entire repository for a class of problems without blowing the main session's context window by leveraging Atlas's parallel subagents. This approach allows you to audit complex native-image configurations, reflection declarations, and resource paths across hundreds of files, ensuring your `pom.xml` and `META-INF/native-image` metadata are correctly configured.

How Atlas Audits GraalVM Repositories with Parallel Subagents

Auditing a large GraalVM repository in 2026 for issues like missing `reflect-config.json` entries or incorrect resource paths can quickly overwhelm a single AI agent's context window. Atlas addresses this by fanning out work to multiple subagents, each operating in its own isolated session, ensuring only their final conclusions return to your main session.

Atlas is designed to tackle the challenge of sweeping extensive GraalVM codebases, particularly those involving native-image builds where reflection, resources, and dynamic proxies require explicit ahead-of-time declarations. Instead of processing an entire repository within a single context, Atlas launches parallel subagents. These subagents operate independently, each with its own context, preventing the main session from being flooded with raw file contents. For instance, an `explore` subagent, which is deny-by-default and read-only, can be tasked with scanning specific `META-INF/native-image` directories for common misconfigurations without ever modifying the codebase. This method is crucial for maintaining performance and focus when dealing with the detailed metadata required by GraalVM native images.

Splitting GraalVM Audit Tasks for Subagent Efficiency

To effectively audit a GraalVM project, the repository sweep must be split into independent slices, preventing subagents from overlapping their work. This strategy allows 3 or more subagents to concurrently examine distinct parts of your `pom.xml` structure, specific Java packages, or different native-image configuration rules.

For an efficient GraalVM repository audit, the key is to divide the task into manageable, independent slices. This could mean assigning one subagent to review all `pom.xml` files for the correct application of the `native-maven-plugin`, another to inspect all `META-INF/native-image` directories for `reflect-config.json` and `resource-config.json` files, and a third to specifically look for dynamic proxy declarations. Atlas's `glob` tool can help define these slices, for example, `glob "**/*/pom.xml"` for Maven configurations or `glob "**/META-INF/native-image/*.json"` for metadata files. By ensuring each subagent has a distinct scope,whether by directory, Java package, or a specific class of GraalVM native-image rule,you maximize parallelism and prevent redundant work, making the audit process significantly faster and more focused.

Launching Parallel Read-Only GraalVM Audits with Atlas

Launching multiple read-only audit tasks for your GraalVM project is straightforward with Atlas's `task` tool, allowing 5 or more subagents to run concurrently. For a safe sweep where no changes should occur, you specify `subagent_type explore`, ensuring the subagent operates in a deny-by-default, read-only mode.

To initiate a parallel, read-only audit of your GraalVM repository, you use Atlas's `task` tool. This tool allows you to launch multiple subagents simultaneously, each in its own session. For an audit where the goal is solely to identify problems without making any modifications, the `subagent_type explore` is essential. This type of subagent is configured to be deny-by-default and read-only, providing a secure environment for sweeping your codebase. For example, you might issue several `task` calls together: `task "audit pom.xml for native-maven-plugin" subagent_type explore`, `task "check reflect-config.json for missing entries" subagent_type explore`, and `task "scan for dynamic proxy issues" subagent_type explore`. Atlas ensures these tasks run concurrently, and only their final conclusions or error messages are returned to your main session, preserving your context window.

Reviewing and Merging GraalVM Audit Findings

After parallel subagents complete their GraalVM repository sweeps, Atlas collects each subagent's final message, including any verbatim error text if a task failed. This consolidated feedback, often from 2 or more subagents, is then merged into a single `todowrite` list for efficient resolution in the main session.

Once your parallel subagents have completed their GraalVM audit tasks, Atlas automatically collects their final messages. If a subagent encounters an issue, such as a parsing error in a `reflect-config.json` or a failure to locate a specific resource path, its error text is surfaced verbatim. This consolidated feedback is then merged into a single `todowrite` list within your main Atlas session. This list serves as a centralized action plan, allowing you to systematically address all identified problems. For instance, if an audit reveals a missing `reflect-config.json` entry that only fails in the native binary, not on the JVM, you can use the `edit` tool in the main session to add the necessary configuration. Atlas can even run the tracing agent, diff the generated metadata, and commit only the entries your code actually needs, followed by applying `Spotless` to maintain code style.

Ensuring Safety and Permissions in GraalVM Audits

Atlas provides robust safety mechanisms for GraalVM audits, ensuring that no unauthorized changes occur, especially when dealing with sensitive native-image configurations. Every Atlas tool call is permission-gated, and the `explore` subagent is explicitly read-only, offering a 100% secure environment for sweeping.

Safety is paramount when auditing GraalVM projects, particularly given the intricacies of native-image builds. Atlas incorporates several layers of protection. First, every Atlas tool call is permission-gated, requiring explicit `allow`, `ask`, or `deny` rules before execution. When using the `explore` subagent type for audits, it operates in a deny-by-default, read-only mode, meaning it cannot make any modifications to your `pom.xml`, `META-INF/native-image` files, or source code. Even if you were to use a `general` subagent for tasks requiring modifications, Atlas drafts a plan in a read-only plan agent and asks for approval before switching to a build agent. Furthermore, any file edit proposed by Atlas computes a unified diff and surfaces it for approval before writing, and snapshots file changes as git patches, allowing edits to be diffed and rolled back. This comprehensive approach ensures that your GraalVM codebase remains secure throughout the audit process, even when Atlas runs `mvn -Pnative test` behind a permission prompt.

Step by step

01Split the GraalVM repository audit into independent slices, such as by `pom.xml` configurations, specific Java packages, or `META-INF/native-image` directories, to prevent subagent overlap.
02Launch multiple read-only audit tasks concurrently using `task "audit [slice description]" subagent_type explore` for each slice, ensuring nothing changes in your GraalVM codebase.
03Collect each subagent's final message, including any verbatim error text if a GraalVM-specific task, like checking `reflect-config.json`, failed.
04Merge the findings from all subagents into a single `todowrite` list in your main Atlas session.
05Address the identified GraalVM issues in the main session using the `edit` tool, for example, adding a missing `reflect-config.json` entry.
06If necessary, ask Atlas to run the GraalVM tracing agent, diff the generated metadata, and commit only the entries your code actually needs.
07Have Atlas run `mvn -Pnative test` behind a permission prompt to verify fixes, then apply `Spotless` to the diff for consistent formatting.

Frequently asked questions

How does Atlas prevent context window issues when auditing a large GraalVM project?: Atlas prevents context window issues by fanning out work to parallel subagents. Each subagent operates in its own isolated session, processing a specific slice of the GraalVM repository, and only its final conclusions return to your main session.
Can Atlas audit specific GraalVM native-image configurations like `reflect-config.json`?: Yes, Atlas can audit specific GraalVM native-image configurations. You can task subagents to inspect `META-INF/native-image` directories for `reflect-config.json`, `resource-config.json`, and other metadata files, identifying missing or incorrect entries.
How do I ensure an Atlas audit of my GraalVM repo is read-only?: To ensure a read-only audit of your GraalVM repository, launch subagents with `subagent_type explore`. This subagent type is deny-by-default and read-only, preventing any modifications to your codebase.
What GraalVM tools does Atlas integrate with for auditing?: Atlas integrates directly with core GraalVM toolchain elements. It can read `pom.xml` files for `native-maven-plugin` configurations, understand `META-INF/native-image` metadata, run `mvn -Pnative test` for verification, and apply `Spotless` for formatting.
How does Atlas handle fixing issues found in a GraalVM audit?: Atlas consolidates audit findings into a `todowrite` list. You can then use the `edit` tool in the main session to apply fixes, such as adding missing `reflect-config.json` entries. Atlas also computes unified diffs for approval and can run the GraalVM tracing agent.
Can Atlas help with GraalVM reflection and resource configuration problems?: Absolutely. Atlas is designed to work with GraalVM native-image builds, where reflection, resources, and dynamic proxies must be declared ahead of time. It can identify missing declarations and help add the necessary `reflect-config.json` entries.
Is it safe to let Atlas run `mvn -Pnative test` during an audit?: Yes, it is safe. Atlas runs `mvn -Pnative test` behind a permission prompt, requiring your explicit approval. All tool calls are permission-gated, and any proposed file changes are presented as unified diffs for your review before writing.

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