How does Atlas ensure my Django tests pass during refactoring?

Atlas uses its `bash` tool to run your `pytest-django` test suite, first to establish a green baseline, and then repeatedly after each structural change to immediately verify that the Django module's behavior remains consistent.

Can Atlas handle Django migrations when refactoring models?

While the core refactoring workflow focuses on module restructuring, Atlas can add a model field with a migration and review the diff, demonstrating its capability to interact with Django's migration system.

What if Atlas tries to apply a patch to a Django file I've already changed?

Atlas's `apply_patch` tool is designed for safety. If a Django file has drifted or been modified externally, `apply_patch` will fail with a 'Failed to find context' error, preventing the application of an outdated or potentially corrupting patch.

How does Atlas know which parts of my Django module are 'public'?

Atlas leverages its `lsp` tool's `documentSymbol` operation, which understands the structure of your Python and Django code, to accurately identify and enumerate all exported symbols that constitute the module's public surface.

Does Atlas integrate with Django's `manage.py` commands?

Yes, Atlas runs in a project with a `manage.py` and can execute `python manage.py test` or other `manage.py` commands via its `bash` tool, integrating directly with your Django development workflow.

How does Atlas help me review changes to my Django code?

Atlas computes a unified diff for every file edit it proposes, such as changes to `models.py` or `views.py`, and surfaces it for your explicit approval before writing, giving you full control over every modification.

Can Atlas help me keep my Django code formatted with `ruff format`?

Yes, Atlas can execute `ruff format` via its `bash` tool, ensuring that your refactored Django code adheres to your project's formatting standards automatically as part of the workflow.

Refactor a legacy module in Django with Atlas in 2026

In 2026, Django developers can refactor legacy modules without fear of silent breakage by using Atlas, the terminal-native AI coding agent. Atlas integrates directly with your Django project's `manage.py`, leveraging `pytest-django` for behavior verification, `uv` for dependency management, and `ruff format` for code consistency, ensuring a safe and efficient restructuring process.

How does Atlas map a Django module's public surface?

Atlas identifies a Django module's public surface in 2026 by leveraging its `lsp` tool's `documentSymbol` operation. This process precisely enumerates all exported symbols, providing a foundational map before any refactoring begins.

Atlas begins any Django module refactoring by creating a comprehensive map of its public surface. Using the `lsp` tool's `documentSymbol` operation, Atlas precisely identifies every exported symbol within the target module. This initial step is crucial for understanding the module's external contract and identifying potential points of interaction. Once the public surface is mapped, Atlas then performs a `findReferences` operation on each identified symbol. This exhaustive search enumerates every single callsite across your entire Django project, from `models.py` to `views.py` and custom management commands. This meticulous approach ensures that no caller is overlooked, mitigating the risk of silent breakage that often plagues legacy code refactoring efforts. Atlas's ability to index code by AST declarations using tree-sitter, rather than blind line windows, ensures high accuracy in identifying these symbols and their references, providing a robust foundation for the subsequent restructuring.

How to pin behavior for a Django module refactor with Atlas?

Before any structural changes, Atlas ensures behavior remains consistent by running existing `pytest-django` tests in 2026. This establishes a green baseline, providing a critical safety net for the entire refactoring process.

A core principle of safe refactoring in Django is to pin existing behavior before making any changes. Atlas facilitates this by using its `bash` tool to execute your project's `pytest-django` test suite. The first step involves running `uv run pytest` or `python manage.py test` to ensure all existing tests pass, establishing a 'green baseline'. This baseline serves as the definitive proof that the module's current functionality is as expected. Atlas then records this state. Throughout the refactoring process, after each incremental change or 'hunk' is applied, Atlas will re-run these `pytest-django` tests using the `bash` tool. This immediate feedback loop ensures that any unintended behavioral regressions are caught instantly, rather than accumulating and becoming difficult to debug later. This iterative testing approach, combined with Atlas's ability to read git branches and status, provides a high degree of confidence that the module's behavior remains unchanged.

How does Atlas apply structural changes to Django files?

Atlas applies structural changes to Django files using its `apply_patch` tool, which anchors on context lines in 2026. This ensures that edits are precise and refuse to apply if the file has drifted, preventing accidental corruption.

When restructuring a Django module, Atlas employs the `apply_patch` tool for making precise, structural changes. Unlike simple find-and-replace operations, `apply_patch` is designed for robust code modification. It anchors each hunk of changes on specific context lines and old lines within the target file, such as a `models.py` or `views.py`. If the file has drifted or been modified externally since Atlas last read it, `apply_patch` will fail with a 'Failed to find context' error, preventing the application of a patch that could corrupt the codebase. Before any changes are written, Atlas computes a unified diff for every file edit and surfaces it for your approval. This allows Django developers to review every line change, ensuring accuracy and control. Atlas also snapshots file changes as git patches, so edits can be diffed and rolled back if necessary, providing an additional layer of safety during complex refactoring tasks.

Managing Refactoring Progress and Callsites in Django with Atlas

Atlas tracks refactoring progress in a Django project using its `todowrite` tool in 2026, ensuring no callsite is left unmigrated. This prevents partially refactored modules from being mistaken for finished ones.

Refactoring a legacy Django module often involves migrating numerous callsites across various files. Atlas helps manage this complexity with its `todowrite` tool. After initially mapping the module's public surface and identifying all references, Atlas creates a `todowrite` list to track every remaining callsite that needs to be updated. This ensures that a partially migrated module cannot be mistaken for a finished one, providing clear visibility into the remaining work. As each callsite is successfully updated and verified, it is removed from the `todowrite` list. Atlas can also use its `read` tool to fetch the content of specific Django files, like `settings.py` or a particular `urls.py`, to provide context for the agent as it works through the migration list. This systematic approach guarantees that the refactoring is thorough and complete, leaving no loose ends in your Django application.

Step by step

01Run Atlas in your Django project directory, ensuring `manage.py` is present, then let Atlas read your apps, models, and settings.
02Use Atlas's `lsp` tool with `documentSymbol` to map the public surface of the legacy Django module, then `findReferences` on each symbol to enumerate all callsites.
03Execute `uv run pytest` or `python manage.py test` via Atlas's `bash` tool to run your `pytest-django` tests and record a green baseline for the module's current behavior.
04Apply structural changes to Django files using Atlas's `apply_patch` tool, reviewing the unified diff for each edit before approval.
05After each `apply_patch` hunk, re-run `uv run pytest` or `python manage.py test` with Atlas's `bash` tool to immediately verify that behavior remains unchanged.
06Track remaining callsites to migrate using Atlas's `todowrite` tool, ensuring all references across your Django project are updated.
07Use `ruff format` via Atlas's `bash` tool to maintain code style consistency across all refactored Django files.
08Review and approve the final changes, then let Atlas stage and create a commit for the refactored Django module.

Frequently asked questions

How does Atlas ensure my Django tests pass during refactoring?: Atlas uses its `bash` tool to run your `pytest-django` test suite, first to establish a green baseline, and then repeatedly after each structural change to immediately verify that the Django module's behavior remains consistent.
Can Atlas handle Django migrations when refactoring models?: While the core refactoring workflow focuses on module restructuring, Atlas can add a model field with a migration and review the diff, demonstrating its capability to interact with Django's migration system.
What if Atlas tries to apply a patch to a Django file I've already changed?: Atlas's `apply_patch` tool is designed for safety. If a Django file has drifted or been modified externally, `apply_patch` will fail with a 'Failed to find context' error, preventing the application of an outdated or potentially corrupting patch.
How does Atlas know which parts of my Django module are 'public'?: Atlas leverages its `lsp` tool's `documentSymbol` operation, which understands the structure of your Python and Django code, to accurately identify and enumerate all exported symbols that constitute the module's public surface.
Does Atlas integrate with Django's `manage.py` commands?: Yes, Atlas runs in a project with a `manage.py` and can execute `python manage.py test` or other `manage.py` commands via its `bash` tool, integrating directly with your Django development workflow.
How does Atlas help me review changes to my Django code?: Atlas computes a unified diff for every file edit it proposes, such as changes to `models.py` or `views.py`, and surfaces it for your explicit approval before writing, giving you full control over every modification.
Can Atlas help me keep my Django code formatted with `ruff format`?: Yes, Atlas can execute `ruff format` via its `bash` tool, ensuring that your refactored Django code adheres to your project's formatting standards automatically as part of the workflow.

Try Atlas in your terminal

The terminal-native AI coding agent. Free core, single binary.

Install Atlas

Related guides

Refactor a Legacy Module with Atlas in 2026

How to refactor a legacy module with Atlas in 2026: findReferences maps every callsite, apply_patch refuses to apply against a drifted file, and bash proves behavior.

Atlas for Django in 2026

Atlas, the terminal-native AI coding agent, empowers Django developers in 2026. Boost productivity across models, views, and migrations with secure, reviewable AI assistance.

Self-review your working diff before committing in Django with Atlas in 2026

Catch your own mistakes in Django code before committing. Atlas helps Django developers self-review uncommitted diffs, run pytest-django tests, and apply ruff format in 2026.

Onboard to an Unfamiliar Codebase in Django with Atlas (2026)

How to onboard to an unfamiliar Django codebase in 2026 with Atlas: codebase_search, glob, the read-only explore subagent, uv, pytest-django, and ruff format.

Locate Where a Behavior Is Implemented in Django with Atlas (2026)

Find the Django view, model, or signal behind a behavior in 2026: Atlas attacks it with codebase_search, grep, and the lsp tool, then confirms with pytest-django.

Document a Django Module with a README in 2026 using Atlas

In 2026, Django developers use Atlas to generate accurate README documentation for modules. Atlas leverages lsp, read, and codebase_search to describe what your Django code actually does today, ensuring every detail is

Extract a Shared Helper from Duplicated Code in Django with Atlas in 2026

In 2026, Django developers use Atlas to find and refactor duplicated logic into shared helpers. Leverage semantic search, automated patching, and `pytest-django` for safe, efficient code consolidation.

Run the test suite and triage the failures in Django with Atlas in 2026

Streamline Django test triage in 2026 with Atlas. Turn walls of `pytest-django` output into prioritized, distinct root causes, accelerating your debugging workflow.

Browse this resource hub