Atlas empowers Three.js developers in 2026 to precisely locate where a behavior is implemented, even when only knowing what the software does, not what the code is called. It achieves this by combining semantic codebase search, exact text `grep` powered by ripgrep, and the `lsp` tool for symbol graph navigation, all while integrating direct with your `npm`, `vitest`, and `prettier` workflow.
How to semantically search for Three.js behavior with Atlas
In 2026, Atlas's `codebase_search` tool offers a powerful way to semantically locate Three.js behaviors, even if your query doesn't match exact keywords. It indexes your code using AST declarations via Tree-sitter, providing a deeper understanding than traditional line-based searches, and can even build its index with local Ollama embeddings.
When you need to find a specific behavior in your Three.js project, but don't know the exact function or variable name, Atlas's `codebase_search` is your first step. Instead of relying on simple keyword matching, this tool performs a hybrid semantic and keyword retrieval, fused by reciprocal rank fusion. This means you can describe a Three.js behavior, such as 'where are `BufferGeometry` instances disposed to prevent memory leaks?' or 'find the code that updates the camera position in the `requestAnimationFrame` loop,' and Atlas will return candidate declarations. It understands the structure of your Three.js code because it indexes by AST declarations using Tree-sitter, not just blind line windows. For privacy-conscious teams, Atlas can build its code index with local Ollama embeddings, ensuring your proprietary Three.js code never leaves your local machine.
Verifying Three.js code locations using Atlas's `grep` and `read`
After an initial semantic search, Atlas provides `grep` and `read` tools to confirm and inspect Three.js code locations with 100% accuracy. The `grep` tool, powered by ripgrep, accepts real regex patterns and file filters, while `read` ensures you open the correct file, failing loudly if a path is incorrect, preventing wasted time.
Once `codebase_search` provides potential Three.js code locations, you can use Atlas's `grep` tool to confirm the exact text or pattern. This is crucial for verifying specific method calls or property accesses within your Three.js scene graph or material definitions. For example, you might `grep` for `material\.dispose\(` to find all explicit material disposal calls, or `new Vector3\(` to identify per-frame allocations that could be optimized. The `grep` tool supports real regex patterns and allows you to specify `include` and `path` filters, narrowing down the search to relevant Three.js files like `src/components/*.js` or `utils/math.ts`. After identifying a promising file, the `read` tool allows you to open and inspect its contents. A key safety feature is that `read` will fail loudly with 'File not found' and a 'Did you mean' list if you provide a wrong path, ensuring you don't waste time debugging a non-existent file in your Three.js project.
Exploring Three.js symbol graphs with Atlas's `lsp` tool
Atlas's `lsp` tool is indispensable for navigating the intricate symbol graph of a Three.js application, especially when tracing object lifecycles or render loop dependencies. It offers `findReferences` to see every callsite of a symbol and `workspaceSymbol` to jump directly to a declaration, providing a 360-degree view of your code's interactions in 2026.
Understanding how different parts of your Three.js application interact is vital, particularly for complex scenes involving custom geometries, materials, and shaders. Atlas's `lsp` tool leverages the Language Server Protocol to provide deep insights into your code's structure. If you've identified a `material.dispose()` call, you can use `lsp findReferences material.dispose` to see every location where that specific method is invoked, helping you ensure proper resource cleanup across your Three.js project. Conversely, if you know a symbol's name, like `OrbitControls`, but not its declaration location, `lsp workspaceSymbol OrbitControls` will instantly jump you to its definition. This capability is invaluable for tracing the flow of data, understanding how a specific `Mesh` is constructed, or identifying all components that interact with a particular `WebGLRenderer` instance, making it easier to debug and optimize your Three.js scenes.
How Atlas ensures safe Three.js code modifications and review
Atlas prioritizes safety and transparency in your Three.js development workflow, ensuring every proposed change is thoroughly reviewed before implementation. All Atlas tool calls are permission-gated, and it drafts a plan in a read-only agent before asking for approval to switch to a build agent, providing 2 layers of protection for your codebase.
Even when the primary job is retrieval, understanding how Atlas handles potential modifications is crucial for trust. Atlas operates with a robust safety framework. Every tool call, including those that might lead to a change (like running `vitest` or applying `prettier`), is permission-gated against `allow`, `ask`, and `deny` rules. Before any code is written, Atlas drafts a plan in a read-only plan agent, detailing its proposed actions. It then asks for your explicit permission before switching to a build agent to execute that plan. For every file edit, Atlas computes a unified diff and surfaces it for your approval, allowing you to review changes to your Three.js scene setup, material properties, or GLSL shaders before they are written. Atlas also connects to Model Context Protocol servers, exposing their tools to the agent, and reads git branches, status, and diffs, allowing it to stage and create commits on your behalf, or snapshot file changes as git patches for easy rollback. This comprehensive review process ensures that any changes, even those suggested after a retrieval task, are fully transparent and under your control, integrating smoothly with your `npm` and `prettier` workflows.
Step by step
- 011. Initialize Atlas in your Three.js project by ensuring `package.json` depends on `three` and Atlas has read access to your scene graph setup, render loop, materials, and GLSL shader strings.
- 022. Describe the Three.js behavior to Atlas using `codebase_search`, e.g., 'find where `BufferGeometry` instances are disposed in `src/scenes/MyScene.js` to prevent GPU memory leaks.'
- 033. Confirm potential code locations using Atlas's `grep` tool with a specific regex, such as `grep -i 'dispose\(' src/components/*.js` to verify disposal calls within your Three.js files.
- 044. `read` the best candidate Three.js file identified by `codebase_search` or `grep`, for instance, `read src/utils/ObjectLifecycle.js`, to inspect the code directly.
- 055. Employ Atlas's `lsp findReferences` on a specific Three.js symbol, like `material.dispose`, to trace all its usages and understand its call path.
- 066. Use `lsp workspaceSymbol` to jump directly to the declaration of a Three.js class or function, such as `lsp workspaceSymbol WebGLRenderer`, if you know its name but not its location.
- 077. Summarize the call path and implementation details back to the user, including concrete file and line references within your Three.js project.
Frequently asked questions
- How does Atlas find Three.js code without exact keywords?
- Atlas's `codebase_search` uses hybrid semantic and keyword retrieval, indexing Three.js code by AST declarations with Tree-sitter. This allows it to understand the meaning of your query and find relevant symbols even if your words don't appear verbatim in the source code.
- Can Atlas help me understand Three.js object disposal?
- Yes, Atlas is excellent for this. It can help you locate and understand disposal paths for Three.js geometries, materials, and textures, identifying where `dispose()` methods are called or should be called to prevent GPU memory leaks when unmounting a scene.
- What Three.js tools does Atlas integrate with?
- Atlas integrates directly with the standard Three.js ecosystem tools. It works with `npm` for package management, can run `vitest` behind a permission prompt for testing, and will `prettier` the diffs of any proposed changes, ensuring consistency.
- How does Atlas ensure I don't accidentally change my Three.js project?
- Atlas operates with a read-only plan agent first, then requires explicit permission for any build actions. All proposed changes are presented as unified diffs for your approval before being written to your Three.js files, and it can snapshot changes as git patches for rollback.
- Can Atlas trace Three.js render loop functions?
- Absolutely. Using the `lsp` tool's `findReferences` and `workspaceSymbol` operations, Atlas can trace calls within your `requestAnimationFrame` loop, helping you identify per-frame object allocations or specific rendering behaviors in your Three.js scenes.
- Does Atlas support GLSL shaders in Three.js?
- Yes, Atlas can read and index your Three.js scene graph setup, materials, and any GLSL you inline as shader strings. This allows it to understand and search within your custom shader code, making it easier to locate and modify shader behaviors.
- Can Atlas use local embeddings for my Three.js codebase?
- Yes, Atlas can build its code index with local Ollama embeddings. This keeps your Three.js code off third-party servers, ensuring privacy and security for your proprietary projects while still enabling powerful semantic search capabilities.
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