In 2026, OCaml developers can automate GitHub issue and pull request triage safely and efficiently using Atlas, integrating directly with their existing `dune` build system, `opam` package manager, and `ocamlformat` for consistent code style.
How to Configure Atlas for OCaml GitHub Triage Workflows
In 2026, configuring Atlas for OCaml GitHub triage begins by wiring the `atlas github` command into a GitHub Actions workflow. This setup requires specifying a `MODEL` in `provider/model` format and a `PROMPT` for specific event types, ensuring Atlas operates within defined parameters.
To automate issue and pull request triage for an OCaml codebase, developers integrate the `atlas github` command directly into their `.github/workflows/triage.yml` file. Atlas is designed to read its inputs from the GitHub Actions environment, rejecting any run where the `MODEL` input is not provided in the expected `provider/model` format, such as `ollama/codellama`. Similarly, for event types requiring a prompt, the `PROMPT` input must be explicitly set; otherwise, the handler will fail with a clear message like "PROMPT input is required for <event> events." This upfront validation ensures that Atlas always operates with the necessary configuration, preventing unexpected behavior in OCaml projects that rely on `dune` for builds and `opam` for package management. Atlas also ensures it operates within a workspace containing a `dune-project` at its root, allowing it to correctly index OCaml code by AST declarations using tree-sitter.
Securing Automated OCaml Triage with Atlas Permissions
Atlas ensures secure automated triage for OCaml projects by enforcing strict permission checks in 2026. Before any action, Atlas verifies the triggering actor possesses `admin` or `write` collaborator permission, refusing to run for unauthorized users, and also requires a specific mention to prevent accidental triggers.
Security is paramount when automating GitHub interactions in an OCaml development environment. Atlas implements robust safeguards to ensure that automated responses to issues and pull requests are only executed by trusted users. Specifically, the `atlas github` handler checks the triggering actor's collaborator permission level. If the actor does not have `admin` or `write` permissions on the repository, Atlas will refuse to run, providing an explicit security barrier. Furthermore, to prevent a stray comment from inadvertently initiating an Atlas run, the handler enforces that comments must explicitly mention the configured trigger, such as `@atlas triage`. This dual-layer security mechanism ensures that OCaml codebases, managed with `opam` and built with `dune`, receive automated assistance only under controlled and authorized conditions. Every Atlas tool call, including `bash`, `read`, `grep`, and `edit`, is permission-gated against `allow`, `ask`, and `deny` rules before execution, adding another layer of control.
Atlas's Deep Integration with the OCaml Toolchain
Atlas deeply integrates with the OCaml toolchain in 2026, understanding `dune` build rules, `opam` switches, and `.mli` interface files. This allows Atlas to propose changes like making a variant exhaustive or adding an `Alcotest` case to a `test/dune` stanza, then validate them with `dune runtest`.
For OCaml developers, Atlas is not a generic AI agent but one that understands the specifics of their ecosystem. Atlas builds its code index by AST declarations using tree-sitter, allowing it to parse and understand OCaml syntax, including `.mli` signature files. It reads each `dune` stanza within a `dune-project` at the workspace root and comprehends the packages pinned in the `opam` switch. This deep understanding enables Atlas to perform OCaml-specific tasks, such as suggesting how to make a variant exhaustive in a `.ml` file or adding a new `Alcotest` case to a `test/dune` stanza. After proposing changes, Atlas can run `dune runtest` behind a permission prompt, reading the compiler errors and test failures back into its planning agent. Finally, before presenting a unified diff for approval, Atlas ensures the proposed changes adhere to OCaml's style conventions by running `ocamlformat`, guaranteeing a style-clean diff. This ensures that any automated contribution fits direct into an OCaml project's existing standards.
Managing OCaml Code Context and Approving Changes with Atlas
Atlas effectively manages OCaml code context in 2026, explicitly handling `ContextOverflowError` by listing offending files. Before writing any changes, Atlas computes a unified diff for every file edit and surfaces it for approval, allowing developers to review and roll back proposed modifications.
When working with large OCaml codebases, managing context for AI agents is crucial. Atlas explicitly handles `ContextOverflowError` by catching it by name and re-throwing it as a user-friendly "prompt-too-large" message, which lists the specific OCaml files that caused the overflow. This transparency helps developers understand and address context limitations. Before any proposed changes are written to the filesystem, Atlas computes a unified diff for every file edit. This diff is then surfaced for explicit approval, giving OCaml developers full control over the modifications. Atlas drafts its initial plan in a read-only plan agent and asks for permission before switching to a build agent, further enhancing safety. Furthermore, Atlas snapshots file changes as `git` patches, allowing edits to be easily diffed and rolled back if necessary. This integration with `git` and explicit approval steps ensures that automated triage actions in OCaml projects are always transparent, reviewable, and reversible, maintaining code quality and developer trust.
Step by step
- 01Set up your OCaml project: Ensure your OCaml project has a `dune-project` file at its root and an `opam` switch configured with pinned packages.
- 02Create a GitHub Actions workflow: Define a new workflow file, e.g., `.github/workflows/triage.yml`, to trigger `atlas github` on relevant events like `issues` or `pull_request_target`.
- 03Configure Atlas `MODEL` and `PROMPT`: Within your workflow, set the `MODEL` input to a `provider/model` string (e.g., `ollama/codellama`) and provide a `PROMPT` for event types that require it, ensuring Atlas has the necessary instructions for OCaml triage.
- 04Enforce trusted user permissions: Configure the workflow to ensure Atlas only runs for actors with `admin` or `write` permissions, leveraging Atlas's built-in checks for secure OCaml project interactions.
- 05Require explicit mention for Atlas activation: Set up the workflow to enforce that comments must mention the configured trigger (e.g., `@atlas triage`) to activate Atlas, preventing unintended runs on OCaml issues or pull requests.
- 06Allow Atlas to read OCaml context: Ensure Atlas can access your `dune` stanzas, `.mli` interface files, and `opam` switch configuration to build its code index and understand your OCaml codebase.
- 07Review and approve OCaml code changes: When Atlas proposes changes, such as adding an `Alcotest` case or making a variant exhaustive, review the unified diff it presents and explicitly approve it before it's written to your OCaml files.
- 08Validate OCaml changes with `dune runtest`: After Atlas suggests modifications, it will run `dune runtest` behind a permission prompt to validate the changes, reading compiler errors and test results to refine its plan for your OCaml project.
- 09Format OCaml code with `ocamlformat`: Atlas will automatically apply `ocamlformat` to ensure all proposed OCaml code changes adhere to your project's style guidelines before presenting the final diff for approval.
Frequently asked questions
- How does Atlas ensure only trusted users can trigger automated OCaml triage?
- Atlas's GitHub entrypoint checks the triggering actor's collaborator permission, refusing to run for anyone without `admin` or `write` access to the OCaml repository. It also requires an explicit mention in comments to activate.
- Can Atlas understand my OCaml project's `dune` build rules and `opam` dependencies?
- Yes, Atlas is designed to read `dune` stanzas, `.mli` signatures, and packages pinned in your `opam` switch, building its code index with AST declarations using tree-sitter for deep OCaml context.
- What OCaml-specific tasks can Atlas automate for issues and pull requests?
- Atlas can propose OCaml-specific changes like making a variant exhaustive or adding an `Alcotest` case to a `test/dune` stanza, then validate these changes by running `dune runtest`.
- How does Atlas handle large OCaml files that might exceed context limits?
- Atlas explicitly catches `ContextOverflowError` and re-throws it as a "prompt-too-large" message, listing the specific OCaml files that caused the context overflow, providing clear feedback.
- Does Atlas automatically format OCaml code changes?
- Yes, before presenting a unified diff for approval, Atlas runs `ocamlformat` on all proposed OCaml code changes, ensuring they adhere to your project's style guidelines.
- How do I review and approve changes Atlas proposes for my OCaml codebase?
- Atlas computes a unified diff for every file edit and surfaces it for your explicit approval. It also snapshots changes as `git` patches, allowing for easy review and rollback of OCaml code modifications.
- What is the minimum setup for Atlas to work with an OCaml project?
- You need an OCaml workspace with a `dune-project` at its root. Atlas will then read your `dune` stanzas, `.mli` files, and `opam` switch configuration to operate effectively.
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