# Run Atlas Headless in CI for Assembly in 2026

> For Assembly projects, Atlas runs headless in CI, providing machine-readable JSON output that integrates with `make check` and `asmfmt` for automated code quality.

To run an Atlas session non-interactively in a CI pipeline and retrieve machine-readable output for your Assembly projects, invoke `atlas run` with the `--format json` flag. This allows Atlas to integrate directly with your existing `make check` test runner and `asmfmt` formatter, providing structured event streams for automated processing of x86-64 and ARM64 codebases.

## Key takeaways

- Atlas runs non-interactively in CI for Assembly, providing machine-readable JSON output.
- Integrate Atlas with your Assembly toolchain, including `make check` for tests and `asmfmt` for formatting.
- Pre-approve Atlas tools like `bash` and `edit` for headless operations on `.asm` and `.S` files.
- Atlas understands x86-64 and ARM64 Assembly, including calling conventions and register allocation.
- Leverage `atlas run --format json` to automate parsing of agent actions and unified diffs in CI.

## How to Invoke Atlas Headless in Assembly CI Pipelines

Running Atlas non-interactively in your Assembly CI pipeline is straightforward with `atlas run`. By 2026, developers routinely use this command to automate tasks, ensuring that code changes in `.asm` or `.S` files are analyzed and potentially modified without human intervention, streamlining the development process.

The `atlas run` command is specifically designed for non-interactive execution within CI environments. When invoked, it processes a single prompt, streams events to standard output, and then exits once the session becomes idle. For Assembly projects, you would typically run `atlas run` in the same directory as your `.asm` or `.S` source files and your `Makefile`. This allows Atlas to leverage its AST indexing capabilities, built using tree-sitter, to understand sections, labels, and calling conventions like System V or AAPCS64. For example, to ask Atlas to explain a hot loop in `my_routine.asm`, you would pass the prompt directly as an argument. This headless mode is crucial for integrating Atlas into automated workflows where continuous analysis and modification of x86-64 or ARM64 assembly code are required.

## How to Get Machine-Readable JSON Output from Atlas for Assembly

To enable downstream pipeline steps to parse Atlas's output for Assembly projects, specify the `--format json` flag. This ensures that instead of human-readable prose, Atlas streams raw event data, making it easy for scripts to consume and act upon the agent's actions, such as a proposed change to a `.S` file in 2026.

When `atlas run` is executed with `--format json`, it emits a structured stream of events to stdout. This machine-readable format is essential for CI pipelines that need to programmatically react to Atlas's operations, such as identifying specific tool calls, parsing unified diffs, or extracting results from `bash` commands. For instance, if Atlas uses the `edit` tool to modify `vector_add.asm`, the JSON output will contain the details of that edit, including the computed unified diff. This allows your CI system to automatically review changes, trigger further actions like running `asmfmt` on touched files, or even automatically stage and commit changes using Atlas's git integration capabilities, which can snapshot file changes as git patches.

## Ensuring Safety and Permissions for Headless Assembly Operations

Headless Atlas runs in CI require pre-approved tool permissions, as there's no interactive user to respond to 'ask' prompts. By 2026, configuring these permissions in advance is a standard practice, ensuring that Atlas can safely use tools like `bash`, `read`, `edit`, and `todowrite` on your Assembly codebase without unexpected interruptions.

Atlas employs a robust permission system where every tool call is gated against `allow`, `ask`, and `deny` rules. In a headless CI environment, any `ask` rule would halt the process, as there is no terminal-native TUI (rendered with SolidJS through OpenTUI) for user interaction. Therefore, it is critical to pre-approve the specific tools Atlas needs for your Assembly tasks. For example, if Atlas is expected to annotate register usage in `kernel_entry.S` and then modify it, the `edit` tool must be explicitly allowed. Similarly, if it needs to run `make check` or `asmfmt` via `bash`, the `bash` tool must be permitted. Atlas also drafts a plan in a read-only plan agent before switching to a build agent, and computes a unified diff for every file edit, surfacing it for approval. In a headless setup, these safety mechanisms are still active, but the final approval for writing changes must be handled by pre-configured permissions or by parsing the JSON output and implementing external approval logic.

## Integrating Atlas with Assembly Toolchain: `make check` and `asmfmt`

Atlas direct integrates with the standard Assembly toolchain, including `make check` for testing and `asmfmt` for formatting. In 2026, this integration allows Atlas to not only understand your x86-64 and ARM64 code but also to ensure that any modifications adhere to your project's established quality and style guidelines, running these tools behind a permission prompt.

Atlas is designed to operate within your existing development ecosystem. For Assembly projects, this means it can be configured to use `nasm` or the GNU assembler to build your code and then run your test harness using `make check`. When Atlas proposes changes to files like `syscall_handler.S`, it can be instructed to keep alignment and column style consistent by running `asmfmt` on the touched files. This is achieved by allowing Atlas to execute `bash` commands that invoke these tools. Furthermore, Atlas can read git branches, status, and diffs, and can stage and create commits on your behalf, making it a powerful agent for automating the entire code modification and review cycle within your CI pipeline. You can also set the model explicitly using the `provider/model` form, ensuring Atlas uses the correct AI model for your specific Assembly tasks.

## Steps

1. Configure Tool Permissions: Before running, pre-approve necessary Atlas tools (`bash`, `read`, `edit`, `todowrite`) in your Atlas configuration, as headless runs cannot prompt for approval.
2. Set the AI Model: Explicitly define the AI model using the `--model provider/model` flag, for example, `--model ollama/codellama:7b`, to ensure Atlas uses the desired model for your Assembly tasks.
3. Invoke Atlas Headless: Execute `atlas run` in your Assembly project's root directory (where `.asm` or `.S` sources and `Makefile` reside) with your prompt and the `--format json` flag. For example: `atlas run "Explain the register usage in the _start routine in boot.S and suggest an optimization." --format json --model ollama/codellama:7b`
4. Parse Machine-Readable Output: Capture the JSON event stream from stdout in your CI script. Parse this output to identify Atlas's actions, such as proposed `edit` operations on `boot.S` or `bash` commands.
5. Automate Code Review and Formatting: If Atlas proposes changes, extract the unified diff from the JSON output. If changes are accepted, trigger `asmfmt` on the modified `.asm` or `.S` files via a `bash` command to maintain code style. Example: `asmfmt path/to/modified_file.S`
6. Run Assembly Tests: After any modifications and formatting, instruct Atlas (or your CI script) to execute your test suite using `make check` to verify correctness. Example: `atlas run --command "bash make check" --format json --model ollama/codellama:7b`
7. Handle Session Resumption (Optional): If a pipeline step fails or needs further iteration, resume a prior Atlas session using `--continue` or `--session <session_id>` to build upon previous work.

## FAQ

### How do I run Atlas in CI for Assembly without user interaction?

Run `atlas run` with your prompt and the `--format json` flag in your Assembly project directory. Ensure all necessary tools like `bash` and `edit` are pre-approved in your Atlas configuration, as headless runs cannot prompt for user input.

### Can Atlas understand x86-64 and ARM64 Assembly code?

Yes, Atlas indexes Assembly code by AST declarations using tree-sitter, allowing it to understand x86-64 and ARM64 specifics like register allocation, calling conventions (System V, AAPCS64), sections, and labels within `.asm` or `.S` files.

### How does Atlas integrate with `make check` for Assembly testing?

Atlas can execute `make check` via its `bash` tool, allowing it to run your Assembly test harness. This can be part of a plan where Atlas modifies code and then verifies its changes by running the tests, all within a headless CI environment.

### How do I ensure Atlas maintains Assembly code style with `asmfmt`?

After Atlas makes modifications to `.asm` or `.S` files, you can configure it (or your CI script) to run `asmfmt` on the touched files using the `bash` tool. This ensures alignment and column style consistency, adhering to your project's formatting standards.

### What kind of output does Atlas provide for CI automation in Assembly?

When run with `--format json`, Atlas streams raw event data to stdout. This machine-readable output includes details of tool calls, unified diffs for file edits, and agent progress, enabling automated parsing and reaction by your CI pipeline for Assembly projects.

### Can Atlas make changes to Assembly files in CI?

Yes, Atlas can use its `edit` tool to modify `.asm` or `.S` files. For headless CI, the `edit` tool must be pre-approved in the Atlas permission configuration. Atlas computes a unified diff for every edit, which is available in the JSON output for review.

### How does Atlas handle security when running tools like `bash` in CI for Assembly?

Atlas's permission system gates every tool call. In headless CI, tools like `bash` must be explicitly `allow`-listed in your configuration. Atlas also drafts a plan in a read-only agent and surfaces unified diffs for approval, even if that approval is pre-configured for CI.

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Canonical HTML: https://runatlas.sh/resources/stacks/run-atlas-headless-in-ci-in-assembly
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Licence: Atlas is proprietary with a free core. It is not open source and there is no public source repository.
