How does Atlas ensure my Django code changes are safe?

Atlas ensures safety through permission-gated tool calls, a read-only plan agent for drafting changes, and presenting every file edit as a unified diff for your explicit approval before writing. It also snapshots changes as git patches for easy rollback.

Can Atlas work with my existing Django test suite?

Yes, Atlas integrates direct with your existing Django test suite. It uses the `bash` tool to execute your `pytest-django` commands directly, allowing you to run specific tests or the entire suite as needed, just as you would from your terminal.

What Django files can Atlas modify?

Atlas can modify any file in your Django project, including `models.py`, `views.py`, `forms.py`, `admin.py`, and `tests.py`. Its AST indexing helps it understand the context of your code, ensuring relevant and precise modifications.

Does Atlas support Django's `manage.py` commands?

Absolutely. Atlas's `bash` tool can execute any `manage.py` command, such as `python manage.py makemigrations`, `python manage.py migrate`, or `python manage.py runserver`, integrating fully with your standard Django development workflow.

How does Atlas handle code formatting in Django projects?

Atlas respects your project's code formatting standards. After making changes, you can instruct Atlas to run `ruff format` using its `bash` tool, ensuring all modified files adhere to your preferred style guidelines automatically.

Can Atlas help me write new Django models or views?

Yes, Atlas can assist with writing new Django models, views, or other components. By leveraging its `write` tool and understanding your project's structure, Atlas can draft new code, including associated migrations, for your review and approval.

Add a Regression Test for a Bug Fix in Django with Atlas in 2026

To add a regression test for a bug fix in Django with Atlas, you will leverage Atlas's `write` tool to create a failing test using `pytest-django`, then use `edit` to apply the fix, and finally confirm success by re-running the test with `bash`. This workflow ensures the bug is locked in with a test that fails before the change and passes after it, using your familiar Django toolchain.

How Atlas Reproduces Django Bugs for Regression Testing

Reproducing a Django bug is the crucial first step in creating a regression test, and Atlas streamlines this process by using its `bash` tool to execute the exact failing command. In 2026, Atlas ensures that the observed wrong behavior is unambiguously captured, providing a solid foundation for your test.

Atlas begins the regression testing workflow by asking you to reproduce the bug once using its `bash` tool. This step is vital for capturing the precise command and output that demonstrates the bug. For a Django project, this might involve running a specific `pytest-django` command, a `manage.py` subcommand, or even a custom script that triggers the faulty behavior. Atlas records the process exit code and output, ensuring that the failure state is clearly documented. This initial reproduction serves as the definitive proof of the bug, against which your subsequent regression test will be validated. Atlas's ability to execute arbitrary shell commands means it integrates directly with your existing Django development environment, respecting your project's setup and dependencies managed by `uv`.

Writing a Failing Django Regression Test with Atlas

Writing a failing regression test in Django is straightforward with Atlas's `write` tool, which generates the necessary `pytest-django` code directly into your project's `tests.py` file. This ensures that the test asserts on the specific wrong behavior observed during bug reproduction, creating a 'red' state before the fix is applied, typically within 1 to 2 minutes.

Once the bug is reproduced, Atlas uses its `write` tool to draft the regression test. For Django projects, this test will typically reside in an appropriate `tests.py` file within one of your Django apps, such as `myproject/myapp/tests.py`. Atlas understands the structure of Django projects, indexed by AST declarations using tree-sitter, allowing it to intelligently place the new test. The generated test will use `pytest-django` assertions to specifically check for the previously observed incorrect behavior. For example, if a model's `save` method was incorrectly modifying a field, the test would assert that the field's value is not as expected. Atlas ensures the test is designed to fail initially, confirming it accurately captures the bug before any fixes are introduced. After writing, you can review the proposed changes as a unified diff before Atlas commits them to your filesystem.

Confirming Test Failure and Applying Django Bug Fixes

Confirming that your new Django regression test fails is a critical step, which Atlas verifies by re-running the `pytest-django` command with its `bash` tool, ensuring a clear 'red' state. Subsequently, Atlas applies the bug fix using its `edit` tool, targeting specific code in files like `models.py` or `views.py` with high precision, typically within 30 seconds.

After Atlas writes the regression test, it immediately runs the test using `bash` to confirm it fails. This step is crucial for validating that the test accurately reproduces the bug and will serve as a reliable gate for the fix. The `bash` tool captures the process exit code, providing unambiguous proof of failure. Once the 'red' state is confirmed, Atlas proceeds to apply the bug fix using its `edit` tool. This tool is designed for precise code modifications, requiring an exact-enough `oldString` to prevent ambiguous multi-match replacements. For a Django bug, this might involve correcting logic in a `models.py` file, adjusting a `views.py` function, or modifying a custom manager. Atlas computes a unified diff for every file edit and surfaces it for your approval, giving you full control over the changes before they are written to disk. This ensures that the fix is applied exactly as intended, without unintended side effects.

Verifying Django Fixes and Ensuring Code Quality with Atlas

Verifying that the Django bug fix works involves re-running the same `pytest-django` command with Atlas's `bash` tool, confirming the test now passes and achieves a 'green' state. Atlas then encourages running the wider test suite and applying `ruff format` to check for collateral damage and maintain code quality, a process that takes less than 1 minute.

With the fix applied, Atlas re-runs the exact same `pytest-django` command using `bash`. The goal here is to confirm that the regression test, which previously failed, now passes. This 'green' state unambiguously indicates that the bug has been resolved. Beyond the specific regression test, Atlas encourages running the wider Django test suite to check for any collateral damage or unintended regressions introduced by the fix. This is typically done by running `pytest-django` without specific test arguments. Finally, Atlas can apply `ruff format` across the modified files or the entire project to ensure code style consistency, a crucial aspect of maintaining a healthy Django codebase. Atlas's ability to read git branches, status, and diffs, and to stage and create commits on your behalf, streamlines the entire process from fix to commit, ensuring your project remains clean and functional.

Atlas Safety and Review for Django Code Changes

Atlas prioritizes safety and developer control throughout the Django bug fix workflow, implementing multiple review gates before any code is written or committed. Every Atlas tool call is permission-gated, and all proposed changes are presented as unified diffs for approval, ensuring you maintain 100% oversight of your project in 2026.

Atlas is built with robust safety features to ensure that all changes to your Django codebase are intentional and approved. Before any tool call, such as `write` or `edit`, Atlas consults permission-gated allow, ask, and deny rules. This means you explicitly control what actions Atlas can take. When Atlas drafts a plan, it does so in a read-only plan agent, asking for your approval before switching to a build agent to execute changes. For every file edit, Atlas computes a unified diff and surfaces it for your review and approval before writing. Furthermore, Atlas snapshots file changes as git patches, allowing edits to be easily diffed and rolled back if necessary. This comprehensive review process, combined with Atlas's ability to connect to Model Context Protocol servers and expose their tools, ensures that you, the Django developer, remain in full control of your project's integrity and evolution.

Step by step

01Reproduce the Django bug once with the `bash` tool, capturing the exact failing command and output. For example, `atlas bash 'pytest myproject/myapp/tests/test_bug.py::test_failing_feature'`.
02Write the regression test using the `write` tool, asserting on the observed wrong behavior. Atlas will suggest placing this in `myproject/myapp/tests.py` and using `pytest-django` assertions.
03Run the newly written Django test with `atlas bash 'pytest myproject/myapp/tests.py::test_new_regression'` and confirm it fails, verifying the 'red' state. Atlas records the process exit code.
04Apply the fix to your Django codebase using the `edit` tool. This might involve modifying a `models.py` or `views.py` file. Atlas will present a unified diff for your approval, ensuring the `oldString` is exact.
05Re-run the same `atlas bash 'pytest myproject/myapp/tests.py::test_new_regression'` command and confirm the test now passes, achieving the 'green' state.
06Run the wider Django test suite with `atlas bash 'pytest'` to check for collateral damage, and then apply `ruff format` to maintain code style consistency across your project.

Frequently asked questions

How does Atlas ensure my Django code changes are safe?: Atlas ensures safety through permission-gated tool calls, a read-only plan agent for drafting changes, and presenting every file edit as a unified diff for your explicit approval before writing. It also snapshots changes as git patches for easy rollback.
Can Atlas work with my existing Django test suite?: Yes, Atlas integrates direct with your existing Django test suite. It uses the `bash` tool to execute your `pytest-django` commands directly, allowing you to run specific tests or the entire suite as needed, just as you would from your terminal.
What Django files can Atlas modify?: Atlas can modify any file in your Django project, including `models.py`, `views.py`, `forms.py`, `admin.py`, and `tests.py`. Its AST indexing helps it understand the context of your code, ensuring relevant and precise modifications.
Does Atlas support Django's `manage.py` commands?: Absolutely. Atlas's `bash` tool can execute any `manage.py` command, such as `python manage.py makemigrations`, `python manage.py migrate`, or `python manage.py runserver`, integrating fully with your standard Django development workflow.
How does Atlas handle code formatting in Django projects?: Atlas respects your project's code formatting standards. After making changes, you can instruct Atlas to run `ruff format` using its `bash` tool, ensuring all modified files adhere to your preferred style guidelines automatically.
Can Atlas help me write new Django models or views?: Yes, Atlas can assist with writing new Django models, views, or other components. By leveraging its `write` tool and understanding your project's structure, Atlas can draft new code, including associated migrations, for your review and approval.

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