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Rename a symbol across the repo in MATLAB with Atlas in 2026

Updated 8 min read

Atlas renames functions, classes, or constants everywhere they are used in MATLAB by combining the `lsp` tool for semantic references, `grep` for non-code occurrences, and `edit` for precise mechanical changes, ensuring all uses are updated and verified with `matlab.unittest (runtests)` and `MATLAB Format Code`.

How Atlas renames MATLAB symbols accurately

In 2026, Atlas redefines MATLAB refactoring by combining three powerful tools,`lsp`, `grep`, and `edit`,to ensure precise symbol renames. This hybrid approach guarantees that functions, classes, and constants are updated everywhere, even in complex `.m` files and `classdef` blocks, preventing the common pitfalls of naive find-and-replace operations.

Renaming a symbol in a MATLAB codebase requires more than a simple text search; it demands an understanding of the code's structure. Atlas addresses this by first leveraging its `lsp` (Language Server Protocol) tool. This tool connects to the underlying language server, which has a deep semantic understanding of MATLAB code, including function signatures, class definitions, and variable scopes within `.m` files. When you instruct Atlas to rename a symbol, `lsp` performs a `findReferences` operation, retrieving an authoritative list of all true usages of that symbol across your repository. This semantic retrieval is crucial for MATLAB, where a string might appear identical to a symbol name but not actually refer to the code element. Atlas builds its code index using AST declarations via tree-sitter, not blind line windows, ensuring that its understanding of your MATLAB code is robust and accurate. After `lsp` identifies the semantically correct references, Atlas uses `grep` to catch any occurrences outside the type system, such as in comments, documentation, or string literals. Finally, the `edit` tool applies the mechanical `replaceAll` operation, ensuring every identified instance is updated without ambiguity.

Ensuring complete MATLAB refactoring with Atlas

Achieving a truly complete symbol rename in MATLAB involves more than just updating code references; it requires a rigorous verification process. Atlas ensures this completeness through a two-stage `grep` approach and integration with `matlab.unittest (runtests)`, providing a 360-degree check on your refactoring efforts in 2026.

After Atlas's `lsp` tool has identified and updated all semantic references within your MATLAB `.m` files and `classdef` blocks, the job isn't quite finished. Symbols can appear in contexts that the language server doesn't track, such as in comments, documentation strings, or configuration files. To address this, Atlas runs its `grep` tool for the old symbol name. This step is vital for catching occurrences that are outside the type system, ensuring that your documentation remains consistent with your code and that no hidden references are missed. Once the mechanical renames are applied by the `edit` tool, Atlas facilitates a critical verification step. You can use the `bash` tool to execute your MATLAB test suite, specifically `matlab.unittest (runtests)`. This confirms that the refactoring has not introduced any regressions and that your code still behaves as expected. A final `grep` for the old name serves as a definitive proof point, confirming zero remaining hits of the original symbol, guaranteeing a thorough and complete rename across your entire MATLAB project.

Safe and reviewable MATLAB code changes with Atlas

Atlas prioritizes safety and transparency in every MATLAB refactoring operation, offering multiple layers of review and control. From permission-gated tool calls to unified diffs and git patch snapshots, developers in 2026 can confidently rename symbols, knowing every change is auditable and reversible.

The potential for unintended side effects during a large-scale refactoring operation like renaming a symbol is significant. Atlas mitigates this risk through a robust safety framework. Before any tool call is executed, it is permission-gated against allow, ask, and deny rules, giving you explicit control over Atlas's actions. Atlas drafts a comprehensive plan in a read-only plan agent and asks for your approval before switching to a build agent to make any modifications. For every file edit, Atlas computes a unified diff, presenting it clearly for your review and approval before writing any changes to disk. This allows you to inspect precisely what has changed in your `.m` files, `classdef` blocks, or `buildfile.m`. Furthermore, the `edit` tool itself enforces uniqueness; it refuses ambiguous single replacements, throwing "Found multiple matches for oldString" unless you explicitly add context or opt into `replaceAll`. This prevents silent corruption from unintended matches. Atlas also snapshots file changes as git patches, enabling easy diffing and rolling back of edits if necessary, providing an unparalleled level of safety and control for MATLAB developers.

Integrating Atlas with your MATLAB development workflow

Integrating Atlas into your existing MATLAB development workflow is straightforward, designed to augment your current toolchain rather than replace it. By simply running Atlas in your project folder, you unlock powerful AI-driven refactoring capabilities for your `.m` files and `matlab.unittest` test classes in 2026.

To begin using Atlas for renaming symbols in your MATLAB projects, simply navigate to your repository's root directory in your terminal and run `atlas`. Atlas will automatically detect your `.m` files, `classdef` blocks, and any `buildfile.m`. It then proceeds to read your function signatures, class definitions, and the toolboxes your code calls into, building a comprehensive understanding of your MATLAB codebase. This initial indexing, which can use local Ollama embeddings to keep code off third-party servers, is crucial for Atlas's semantic capabilities. Once indexed, you can ask Atlas to perform complex tasks, such as vectorizing a loop over a matrix or adding a `matlab.unittest.TestCase` subclass under your `tests/` directory. for renaming, Atlas can run `matlab.unittest (runtests)` behind a permission prompt, allowing you to review any failing assertions immediately. Before you approve the final changes, Atlas can even apply the `MATLAB Format Code` conventions to the touched files, ensuring your refactored code adheres to your team's style guidelines, making it a truly integrated part of your MATLAB development cycle.

Step by step

  1. 01Start Atlas in your MATLAB project directory containing your `.m` files and `buildfile.m`.
  2. 02Use `atlas lsp findReferences <old_symbol_name>` to get the authoritative callsite list from the MATLAB language server.
  3. 03Run `atlas grep <old_symbol_name>` to catch occurrences outside the type system, such as in comments, documentation, or string literals.
  4. 04Apply the mechanical renames with `atlas edit replaceAll <old_symbol_name> <new_symbol_name>` where the match is unambiguous per file.
  5. 05Execute your MATLAB test suite using `atlas bash "matlab.unittest.runtests"` to verify that the refactoring has not introduced regressions.
  6. 06Perform a final `atlas grep <old_symbol_name>` to prove zero remaining hits of the old name across your repository.
  7. 07Review the unified diffs presented by Atlas and approve the changes.
  8. 08Commit the changes to your repository using `atlas git commit -m "Refactor: Rename <old_symbol_name> to <new_symbol_name>"`.

Frequently asked questions

How does Atlas handle MATLAB symbols in comments or string literals?
Atlas uses its `grep` tool to specifically identify and update occurrences of the old symbol name in comments, documentation strings, and string literals. This complements the `lsp` tool's semantic analysis, ensuring a comprehensive rename that covers all instances, even those not recognized by the MATLAB language server as code references.
Can Atlas rename a MATLAB class and its constructor across the repository?
Yes, Atlas is designed for this. The `lsp` tool will identify all semantic references to the class definition and its constructor within your `.m` files and `classdef` blocks. The `edit` tool will then apply the `replaceAll` operation, ensuring the class name and its constructor calls are consistently updated throughout your MATLAB codebase.
What if Atlas makes a mistake during a MATLAB rename operation?
Atlas incorporates multiple safety mechanisms. Every tool call is permission-gated, and a read-only plan is drafted for your approval. Before writing any changes, Atlas presents a unified diff for your review. If an issue is detected, you can reject the changes. Additionally, Atlas snapshots file changes as git patches, allowing for easy rollback if an approved change proves problematic in your MATLAB project.
Does Atlas support renaming symbols within MATLAB toolboxes or external dependencies?
Atlas reads the toolboxes your code calls into to build its understanding of your MATLAB codebase. While it can understand references to external toolboxes, its renaming capabilities are focused on the code within your local repository. It will accurately rename symbols within your `.m` files that interact with toolboxes, but it will not modify the toolbox files themselves.
How does Atlas ensure my MATLAB tests still pass after a rename?
After applying renames, Atlas integrates with your existing MATLAB test suite. You can use the `atlas bash` tool to run `matlab.unittest (runtests)`. This allows you to immediately verify that the refactoring has not introduced any regressions and that all assertions in your `matlab.unittest.TestCase` subclasses continue to pass, ensuring code integrity.
Is Atlas compatible with `MATLAB Format Code` conventions?
Yes, Atlas is designed to integrate with your existing MATLAB development practices. Before you approve the final changes, Atlas can apply the `MATLAB Format Code` conventions to any touched files. This ensures that your refactored code adheres to your team's style guidelines, maintaining consistency and readability across your `.m` files.
Can Atlas rename a constant defined in a MATLAB script or a property in a `classdef`?
Absolutely. Atlas's `lsp` tool is capable of understanding declarations of constants within MATLAB scripts and properties within `classdef` blocks. It will accurately find all semantic references to these symbols. Combined with `grep` for non-code occurrences, Atlas ensures a complete and precise rename for constants and properties across your entire MATLAB project.

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