How does Atlas handle Objective-C header and implementation files (.h/.m) when searching?

Atlas's code index, built with tree-sitter, understands the distinct roles of Objective-C `.h` header files for declarations and `.m` implementation files for definitions. When you use `codebase_search`, it considers both, allowing semantic queries to match a method declared in a `.h` file and implemented in its corresponding `.m` file. The `grep` tool can also be filtered to search specifically within `*.h` or `*.m` files, providing granular control over your search scope.

Can Atlas find behavior implemented in Objective-C categories or extensions?

Yes, Atlas is designed to understand Objective-C category files, such as `NSString+MyCategory.h` and `NSString+MyCategory.m`. Its AST-based indexing recognizes methods and properties added via categories. When you perform a `codebase_search` or use `lsp` tools like `findReferences`, Atlas will correctly identify and navigate code within these category implementations, treating them as integral parts of the Objective-C codebase.

How does Atlas ensure my Objective-C code stays private during searches?

Atlas prioritizes code privacy by allowing you to build its code index with local Ollama embeddings. This means your Objective-C source code, including sensitive `.h` and `.m` files and `Podfile` configurations, never leaves your local machine or is sent to third-party servers. All processing for `codebase_search` and `lsp` operations occurs locally, maintaining the confidentiality of your proprietary codebase.

What if the behavior is in a CocoaPods dependency? Can Atlas find it?

Absolutely. Atlas is designed to work within projects that use `CocoaPods`. It reads your `Podfile` and indexes the code within your `Pods` directory, just like your own project's `.h` and `.m` files. When you use `codebase_search` or `grep`, Atlas will include `CocoaPods` dependencies in its search scope, allowing you to locate behavior implemented in third-party libraries managed by `CocoaPods`.

How does Atlas help with Objective-C code review and safety before making changes?

Atlas provides a multi-layered safety net for Objective-C code changes. Before any modification, it drafts a plan in a read-only agent and seeks your explicit approval. Every tool call is permission-gated. Crucially, for any proposed edit to an `.h` or `.m` file, Atlas computes and presents a unified `git` diff for your review and approval before writing. It also snapshots file changes as `git` patches, enabling easy rollback if needed, ensuring you maintain full control over your Objective-C codebase.

Can Atlas help me understand how Objective-C code bridges to Swift?

Yes, Atlas can assist with Objective-C to Swift bridging. For instance, you can ask Atlas to annotate nullability on an Objective-C header (`.h`) file. This helps Swift understand the correct optionality of Objective-C types exposed through the bridging header, improving type safety and reducing runtime issues. Atlas's `lsp` tool can also help trace how Objective-C symbols are exposed and used across the language boundary.

Locate where a behavior is implemented in Objective-C with Atlas in 2026

In 2026, Objective-C developers can efficiently locate where a specific behavior is implemented by using Atlas, which combines semantic code search, precise `grep` functionality, and `lsp` symbol graph navigation across your `.h` and `.m` files, `CocoaPods` dependencies, and `XCTest` suites. This approach ensures you find the exact code responsible, even when you only know the software's function, not its internal code names.

How does Atlas find Objective-C behavior without knowing code names?

Atlas identifies Objective-C behavior without explicit code names by employing a hybrid retrieval strategy that fuses semantic understanding with keyword matching, indexing code by AST declarations. This 2026 approach allows Atlas to return relevant `.h` and `.m` file candidates even when your natural language description doesn't directly appear in the source.

When an Objective-C developer needs to locate a behavior, Atlas initiates a `codebase_search` operation. This tool leverages both semantic and keyword retrieval, fused by reciprocal rank fusion, to understand the intent behind your query. Unlike traditional `grep` that relies on exact text, Atlas builds its code index using AST declarations via tree-sitter, rather than blind line windows. This means it understands the structure of your Objective-C classes, methods, and properties defined in `.h` and `.m` files, as well as categories like `MyClass+Category.m`. For instance, if you describe 'the code that handles user login after a network request,' Atlas can semantically match this to an `-(void)loginUserWithResponse:(NSDictionary *)response;` method, even if your query doesn't contain 'loginUser' or 'response'. Atlas can build this index with local Ollama embeddings, ensuring your proprietary Objective-C codebase remains off third-party servers.

How do I confirm Objective-C code locations with exact text and file paths?

After Atlas's semantic search provides initial Objective-C candidates, developers confirm these locations using the `grep` tool, which supports real regular expressions and file path filters. This step, crucial in 2026, allows precise verification against `.h` and `.m` files, `Podfile` entries, and `XCTest` cases, ensuring the identified code matches exact text patterns.

Once `codebase_search` suggests potential Objective-C files and symbols, the next step is to confirm these with exact text matching using Atlas's `grep` tool. This tool is powered by `ripgrep` and accepts full regular expressions, along with `include` and `path` filters, making it highly effective for Objective-C codebases. For example, if Atlas suggests a method related to 'user authentication' in `AuthenticationManager.m`, you might use `grep` to search for `"-(BOOL)authenticateUser:"` within that file or directory to confirm its presence and exact signature. You can also filter by specific Objective-C file types, such as `*.h` for header declarations or `*.m` for implementations, or even within `Podfile` entries if you suspect the behavior originates from a `CocoaPods` dependency. This precise `grep` capability complements the semantic search by providing a definitive textual verification of the code's location and content.

How does Atlas navigate Objective-C symbol graphs and call sites?

Atlas navigates Objective-C symbol graphs using its `lsp` tool, allowing developers in 2026 to jump directly to declarations and find all call sites for a method or property. This capability is vital for understanding the full execution flow of a behavior, especially across `.h` and `.m` pairs and `ARC`-managed memory.

To fully understand an Objective-C behavior, Atlas leverages its `lsp` tool, which interacts with the language server protocol to provide deep insights into the symbol graph. Once you've identified a promising candidate file, such as `MyViewController.m`, and a specific method like `-(void)viewDidLoad`, you can use the `read` tool to open it. If you make a wrong guess, Atlas will loudly report 'File not found' and offer a 'Did you mean' list, preventing wasted effort. With the file open, the `lsp` tool's `findReferences` operation can show every callsite for `viewDidLoad` across your entire project, including those in `XCTest` cases or other `.m` files. Conversely, `workspaceSymbol` allows you to jump directly to a declaration by name, for instance, finding the `@interface` for `MyCustomDelegate` in its `.h` file. This granular control over symbol navigation is essential for tracing complex Objective-C execution paths, understanding `ARC` memory management implications, and seeing how bridging headers expose Objective-C types to Swift.

What safety and review mechanisms does Atlas provide for Objective-C code changes?

Atlas incorporates robust safety and review mechanisms for Objective-C code changes, ensuring every proposed edit is permission-gated and diffed for developer approval. In 2026, Atlas drafts a plan in a read-only agent, asks for permission before execution, and presents a unified diff for every file edit, including those affecting `.h` and `.m` files or `Podfile` configurations.

Atlas prioritizes safety and developer control throughout the code modification process, which is particularly important when dealing with Objective-C's specific memory management (even with `ARC`) and bridging complexities. Every Atlas tool call is permission-gated against `allow`, `ask`, and `deny` rules before it runs, giving you explicit control. Before making any changes, Atlas drafts a plan in a read-only plan agent and asks for your approval before switching to a build agent. For instance, if Atlas suggests annotating nullability on an Objective-C header file (`.h`) to improve Swift interoperability across the bridging header, it will first present this plan. Furthermore, Atlas computes a unified diff for every file edit and surfaces it for approval before writing, whether it's a change to a `.m` implementation, a `.h` interface, or even a `Podfile`. Atlas also snapshots file changes as `git` patches, allowing edits to be easily diffed and rolled back, providing a secure workflow for Objective-C development.

Step by step

01Describe the Objective-C behavior you want to locate using natural language to Atlas's `codebase_search` tool. For example, 'Find the code that saves user preferences to `NSUserDefaults` after a settings change in `SettingsViewController.m`'.
02Review the candidate Objective-C `.h` and `.m` files and declarations returned by `codebase_search`. Atlas's semantic index will provide relevant symbols even if your words don't appear verbatim.
03Confirm the exact text and file path of the best candidate using Atlas's `grep` tool. Use a real regex like `"-(void)saveSettings"` and path filters such as `*.m` or `SettingsViewController.m` to narrow down the search.
04Open the confirmed Objective-C implementation file, e.g., `SettingsViewController.m`, with Atlas's `read` tool. If the path is incorrect, Atlas will provide a 'Did you mean' list.
05Use Atlas's `lsp` tool's `findReferences` operation on the identified Objective-C method, like `-(void)saveSettings`, to see every callsite across your project, including those in `XCTest` cases.
06If needed, use `lsp`'s `workspaceSymbol` to jump to the declaration of any related Objective-C class or protocol, such as `NSUserDefaults` or a custom delegate, by its name.
07Summarize the call path and implementation details back to yourself or your team, including concrete Objective-C file and line references, to document the behavior's location.

Frequently asked questions

How does Atlas handle Objective-C header and implementation files (.h/.m) when searching?: Atlas's code index, built with tree-sitter, understands the distinct roles of Objective-C `.h` header files for declarations and `.m` implementation files for definitions. When you use `codebase_search`, it considers both, allowing semantic queries to match a method declared in a `.h` file and implemented in its corresponding `.m` file. The `grep` tool can also be filtered to search specifically within `*.h` or `*.m` files, providing granular control over your search scope.
Can Atlas find behavior implemented in Objective-C categories or extensions?: Yes, Atlas is designed to understand Objective-C category files, such as `NSString+MyCategory.h` and `NSString+MyCategory.m`. Its AST-based indexing recognizes methods and properties added via categories. When you perform a `codebase_search` or use `lsp` tools like `findReferences`, Atlas will correctly identify and navigate code within these category implementations, treating them as integral parts of the Objective-C codebase.
How does Atlas ensure my Objective-C code stays private during searches?: Atlas prioritizes code privacy by allowing you to build its code index with local Ollama embeddings. This means your Objective-C source code, including sensitive `.h` and `.m` files and `Podfile` configurations, never leaves your local machine or is sent to third-party servers. All processing for `codebase_search` and `lsp` operations occurs locally, maintaining the confidentiality of your proprietary codebase.
What if the behavior is in a CocoaPods dependency? Can Atlas find it?: Absolutely. Atlas is designed to work within projects that use `CocoaPods`. It reads your `Podfile` and indexes the code within your `Pods` directory, just like your own project's `.h` and `.m` files. When you use `codebase_search` or `grep`, Atlas will include `CocoaPods` dependencies in its search scope, allowing you to locate behavior implemented in third-party libraries managed by `CocoaPods`.
How does Atlas help with Objective-C code review and safety before making changes?: Atlas provides a multi-layered safety net for Objective-C code changes. Before any modification, it drafts a plan in a read-only agent and seeks your explicit approval. Every tool call is permission-gated. Crucially, for any proposed edit to an `.h` or `.m` file, Atlas computes and presents a unified `git` diff for your review and approval before writing. It also snapshots file changes as `git` patches, enabling easy rollback if needed, ensuring you maintain full control over your Objective-C codebase.
Can Atlas help me understand how Objective-C code bridges to Swift?: Yes, Atlas can assist with Objective-C to Swift bridging. For instance, you can ask Atlas to annotate nullability on an Objective-C header (`.h`) file. This helps Swift understand the correct optionality of Objective-C types exposed through the bridging header, improving type safety and reducing runtime issues. Atlas's `lsp` tool can also help trace how Objective-C symbols are exposed and used across the language boundary.

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