To run an Atlas session non-interactively in a CI pipeline for your Axum application and retrieve machine-readable output, invoke `atlas run --format json` within your `Cargo.toml` project. This approach allows direct integration with your existing Rust toolchain, including `cargo nextest` for testing and `rustfmt` for code formatting, ensuring automated code generation and verification in 2026.
How do I run Atlas headless in Axum CI for machine-readable output?
To run Atlas non-interactively in your Axum CI pipeline and receive machine-readable output, use the `atlas run --format json` command. This ensures that your pipeline can parse the event stream, rather than human-readable prose, for automated processing in 2026, streamlining your Rust development workflow.
When integrating Atlas into an Axum CI pipeline, the primary command is `atlas run`. For automated processing by subsequent pipeline steps, it is crucial to pass the `--format json` flag. This instructs Atlas to stream raw event data to standard output, which can then be easily consumed by other tools or scripts. For instance, a GitHub Actions workflow for an Axum project might include a step like `atlas run --format json --prompt 'Refactor the /health endpoint in src/main.rs to use a custom IntoResponse error type.'`. This command executes Atlas, applies the prompt, and outputs a structured JSON stream, allowing your CI system to programmatically evaluate the agent's actions and results. Ensure your `Cargo.toml` is correctly configured with `axum` and `tower` dependencies for Atlas to effectively understand your project context.
How do I pre-approve Atlas tools for headless Axum CI?
For headless Atlas runs in your Axum CI, pre-approving necessary tools via permission configuration is essential, as there's no interactive user to answer 'ask' prompts. This ensures Atlas can execute commands like `bash`, `read`, `edit`, and `todowrite` without interruption, crucial for a smooth 2026 CI experience.
In a non-interactive CI environment, Atlas cannot prompt for tool execution approval. Therefore, all tools required for the job must be pre-approved in Atlas's permission configuration. This includes core tools like `bash` for executing shell commands, `read` for file access, `edit` for modifying code, and `todowrite` for creating or updating TODOs. For an Axum project, you would also explicitly allow Atlas to run `cargo nextest` for testing and `rustfmt` for code formatting. The permission configuration typically resides in a file like `.atlas/config.toml` or similar, where you define `allow`, `ask`, and `deny` rules for specific tools. For example, to allow `cargo nextest` and `rustfmt` to run without prompting, your configuration would include entries that explicitly permit their execution, ensuring Atlas can perform its tasks, such as fixing a trait-bound error in an Axum handler, without human intervention.
How does Atlas understand Axum's Router and State?
Atlas understands Axum's core components, such as the `Router` and `State` type, by indexing code with AST declarations using tree-sitter. This allows it to analyze your `src/main.rs` or other handler files, decode complex `tower` Service trait bounds, and suggest fixes for `Extractor` arguments, providing precise assistance in 2026.
Atlas leverages its advanced code indexing capabilities, built on tree-sitter and AST declarations, to deeply understand the structure of your Axum application. This means it can parse and comprehend your `Router` definitions, the `State` type you thread through handlers, and every `tower` layer in your stack. When you encounter a common Axum issue, such as a trait-bound error because a handler argument is not a valid `Extractor`, Atlas can pinpoint the exact problem. For instance, if a handler in `src/handlers/user.rs` has an incorrect signature, Atlas can analyze the context, identify the missing `FromRequestParts` or `FromRequest` implementation, and propose a fix. It can also assist in adding a custom `IntoResponse` error type, transforming bare status codes into more robust error handling, which is a frequent requirement in production-grade Axum services.
How do I automate Axum testing and formatting with Atlas in CI?
Automate Axum testing and formatting in CI by having Atlas run `cargo nextest run` and `rustfmt` behind permission prompts. After Atlas proposes code changes, it can execute `cargo nextest` to verify fixes and then `rustfmt` to ensure code style consistency, all within a single headless session in 2026.
Atlas can direct integrate with Axum's standard development tools to automate testing and formatting within your CI pipeline. Once Atlas has made proposed edits to your Axum codebase, for example, fixing a handler signature in `src/lib.rs`, it can be instructed to run `cargo nextest run`. This command executes your tests using the `cargo nextest` runner, providing immediate feedback on whether the changes introduced or resolved any issues. Following successful tests, Atlas can then invoke `rustfmt` on the modified files. This ensures that all code changes adhere to your project's formatting standards, maintaining consistency across the codebase. Both `cargo nextest` and `rustfmt` must be pre-approved in Atlas's permission configuration for headless execution, as discussed previously, allowing for a fully automated and verified development loop.
How do I resume or fork Atlas sessions in Axum CI?
To build upon or replay previous Atlas runs in your Axum CI pipeline, use the `--continue`, `--session`, or `--fork` flags with `atlas run`. This allows a pipeline step to pick up from an earlier session, for example, if a build fails and needs a retry, ensuring efficient use of agent time in 2026.
Atlas provides robust mechanisms for managing session state, which is particularly useful in CI/CD pipelines for Axum projects. If a previous pipeline step involving Atlas failed or needs further iteration, you can resume or fork an existing session. The `--continue` flag allows Atlas to pick up exactly where a prior session left off, using its internal state. Alternatively, `--session <session_id>` lets you specify a particular session to resume. For scenarios where you want to start a new branch of work based on a previous session's context without modifying the original, the `--fork` flag is ideal. This is invaluable for debugging or iterating on complex Axum refactors, such as modifying a `Router`'s middleware stack, where you might want to experiment with different approaches based on an initial Atlas analysis. These flags ensure that your CI pipeline can efficiently manage and leverage Atlas's intelligence across multiple runs.
Step by step
- 01Ensure your Axum project's `Cargo.toml` includes `axum` and `tower` dependencies, and Atlas is initialized within the crate.
- 02Configure Atlas permissions by creating or updating `.atlas/config.toml` to `allow` tools like `bash`, `read`, `edit`, `todowrite`, `cargo nextest`, and `rustfmt` for headless execution.
- 03In your CI script, explicitly set the Atlas model using the `provider/model` format, for example: `atlas run --model github/copilot-gpt4`.
- 04Invoke Atlas headless with JSON output: `atlas run --format json --prompt 'Fix the trait-bound error in src/main.main.rs for the /users handler.'` within your CI pipeline.
- 05Implement a subsequent pipeline step to parse the JSON event stream from Atlas's stdout, extracting relevant information such as proposed diffs or session IDs.
- 06If Atlas proposes changes, use the parsed diffs to automatically apply them to your Axum codebase, potentially after an automated review process.
- 07After applying changes, instruct Atlas to run `cargo nextest run` to verify the Axum application's functionality and ensure tests pass.
- 08Have Atlas execute `rustfmt` on any modified Axum files to ensure code style consistency across the project.
- 09Optionally, if all checks pass, Atlas can stage and create a commit on your behalf, leveraging its integrated git capabilities.
Frequently asked questions
- How do I get machine-readable output from Atlas in Axum CI?
- Use `atlas run --format json` in your Axum CI pipeline. This streams raw event data to stdout, which can be parsed by subsequent automated steps.
- Can Atlas run `cargo nextest` in a headless Axum CI environment?
- Yes, Atlas can run `cargo nextest run` in a headless environment, provided `cargo nextest` is explicitly allowed in Atlas's permission configuration.
- How does Atlas handle Axum's `State` and `Extractor` types?
- Atlas indexes your Axum code using tree-sitter and AST declarations, allowing it to understand `State` types, `Extractor` implementations, and `tower` trait bounds to suggest accurate fixes.
- What Atlas permissions are needed for an Axum CI job?
- You need to `allow` core tools like `bash`, `read`, `edit`, `todowrite`, and Axum-specific tools such as `cargo nextest` and `rustfmt` in your Atlas configuration.
- How can I resume a failed Atlas session in an Axum CI pipeline?
- Use `atlas run --continue` or `atlas run --session <session_id>` to resume a previous Atlas session, allowing you to pick up work from where it left off in your Axum CI.
- Does Atlas support `rustfmt` for Axum code in CI?
- Yes, Atlas can execute `rustfmt` on your Axum codebase in CI. Ensure `rustfmt` is pre-approved in Atlas's permission configuration for headless operation.
- How does Atlas help with Axum trait-bound errors?
- Atlas can decode complex `tower` Service trait-bound errors, often encountered with Axum handlers and `Extractor`s, and suggest concrete fixes for your code.
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