How does Atlas find Echo code without exact keywords?

Atlas uses `codebase_search` with hybrid semantic and keyword retrieval, indexing by AST declarations using tree-sitter, to find relevant Echo code even when your query doesn't match exact text. This is particularly effective for Echo's typed `Context` and custom binders.

Can Atlas help me understand Echo's custom binders or middleware order?

Yes, Atlas's semantic search and `lsp` tool can help you navigate and understand custom binders, `echo.Group` routes, and middleware order by analyzing their declarations and references within your Echo codebase.

How does Atlas ensure I'm looking at the right Echo file?

Atlas's `read` tool fails loudly with 'File not found' and 'Did you mean' suggestions if you provide a bad path, ensuring you always work with correct Echo file references and preventing wasted time.

What if Atlas suggests changes to my Echo code?

Atlas drafts a plan in a read-only agent, asks for permission before running tools, and computes a unified diff for every file edit, which you must approve before it writes to your Echo project. It can also run `gofumpt` over touched packages.

Does Atlas integrate with Echo's testing tools?

Yes, Atlas can be asked to cover handlers with `go test` using `httptest`, behind a permission prompt, and can run `gofumpt` over touched packages to maintain code quality.

How does Atlas handle `go.mod` dependencies in Echo projects?

Atlas operates within your module whose `go.mod` requires `github.com/labstack/echo/v4`, leveraging this context for its code indexing and `lsp` operations to understand your project's structure and dependencies.

Can Atlas help me find where `echo.NewHTTPError` is used?

Absolutely. Using the `lsp` tool's `findReferences` operation, Atlas can show you every callsite of `echo.NewHTTPError` within your Echo codebase, helping you trace error handling logic.

Locate Echo Behavior Implementations with Atlas in 2026

Atlas empowers Echo developers in 2026 to precisely locate where a behavior is implemented, even when only the functionality is known. It combines semantic codebase search, `grep` for exact text, and the `lsp` tool for symbol graph navigation, all within your `go.mod` project, ensuring you find the exact file and symbol responsible. This approach leverages the real Echo toolchain, including `go test (httptest)` for validation and `gofumpt` for formatting, to provide a concrete and verifiable workflow.

How Atlas Locates Echo Behavior Implementations

Atlas attacks the problem of locating Echo behavior implementations from three complementary angles, ensuring comprehensive coverage in 2026's complex codebases. It fuses semantic and keyword retrieval, leveraging AST declarations for a more intelligent search than traditional line-based methods, providing a practical option for Echo developers.

When an Echo developer needs to find where a specific behavior is implemented, but only knows what the software does, Atlas employs a powerful three-pronged strategy. First, `codebase_search` uses hybrid semantic and keyword retrieval, indexing code by AST declarations rather than blind line windows. This allows Atlas to understand the meaning of your query and return candidate declarations even if your exact words do not appear in the source code. This is particularly effective for Echo's typed `Context` or custom binders, where the underlying implementation might not directly match a high-level description. Second, `grep` provides precise text matching, running `ripgrep` with real regex and path filters to confirm semantic findings or locate specific string literals, such as an `echo.NewHTTPError` message. Finally, the `lsp` tool offers deep insight into the symbol graph, enabling navigation to declarations and finding all references to a symbol, crucial for understanding call paths within an Echo service.

Using `codebase_search` for Semantic Retrieval in Echo Projects

Atlas's `codebase_search` tool, powered by local Ollama embeddings, helps Echo developers find relevant code even when exact keywords are unknown. It indexes code by AST declarations, not blind line windows, providing a more intelligent retrieval than traditional text search, especially for Echo's `go.mod` projects in 2026.

For Echo developers, `codebase_search` is the initial and often most powerful step in locating behavior. Instead of relying on simple keyword matching, Atlas builds its code index using AST declarations via tree-sitter. This means it understands the structure and relationships within your Echo codebase, including `echo.Group` routes, middleware order, and custom `HTTPErrorHandler` implementations. When you describe a behavior, Atlas uses this semantic understanding to return candidate declarations that are conceptually related, even if the code uses different terminology. For instance, if you describe 'how users are authenticated,' Atlas can surface relevant functions or methods related to authentication logic, even if they are named `VerifySession` or `CheckCredentials`. This capability is invaluable for navigating large Echo projects where code naming conventions might vary or where the behavior is spread across multiple files.

Confirming Echo Code with `grep` and `read` for Precision

After an initial semantic search, Atlas's `grep` tool provides precise keyword confirmation, running `ripgrep` with real regex and path filters. This ensures that the 1-2 candidate files identified by semantic search are indeed the correct ones, especially useful for specific string literals or configuration in Echo applications, saving time in 2026.

Once `codebase_search` provides a set of potential files or declarations, Atlas's `grep` tool allows Echo developers to confirm the findings with exact text matching. This tool leverages `ripgrep` and supports full regular expressions, along with include and path filters, making it highly effective for narrowing down results. For example, you might `grep` for a specific error message string, a unique configuration key, or a function signature like `func (c echo.Context)`. This precision is vital in Echo projects where multiple files might contain similar-sounding functions. Following `grep`, the `read` tool allows you to open the best candidate file. A crucial safety feature of `read` is its loud failure: if you provide a wrong path, it returns 'File not found' along with a 'Did you mean' list, preventing you from wasting time on non-existent files and ensuring you always work with valid Echo source code.

Navigating Echo's Symbol Graph with the `lsp` Tool

Atlas integrates the `lsp` tool to navigate Echo's symbol graph, allowing developers to jump directly to declarations or find all references to a specific `echo.NewHTTPError` or custom `Validator`. This capability is crucial for understanding call paths and dependencies within a complex Echo service, especially when dealing with 2026's larger codebases.

The `lsp` tool is indispensable for Echo developers who need to understand the relationships between different parts of their codebase. Once a potential symbol or function is identified, `lsp`'s `findReferences` operation can show every callsite of that symbol. This is incredibly useful for tracing how an `echo.NewHTTPError` is returned from various handlers or how a custom `Validator` is invoked. Conversely, `workspaceSymbol` allows you to jump directly to the declaration of a symbol by its name, providing immediate context. This deep integration with the language server protocol means Atlas understands the nuances of Go's type system and Echo's specific constructs, such as the `echo.Context` interface, enabling precise navigation through the service's architecture. This ensures that you can quickly move from a high-level behavior description to the exact line of code responsible for its implementation.

Reviewing and Validating Changes in Echo Codebases

Atlas prioritizes safety and review, ensuring that any proposed changes to an Echo codebase are thoroughly vetted. Every Atlas tool call is permission-gated, and all file edits generate a unified diff for approval, preventing unintended modifications to your `go.mod` project, a critical feature for 2026's development standards.

Atlas is designed with a strong emphasis on developer control and safety. Before any tool call runs, it is permission-gated against allow, ask, and deny rules, giving you explicit control over Atlas's actions within your Echo project. When Atlas drafts a plan, it does so in a read-only plan agent, asking for your approval before switching to a build agent that can make changes. For every file edit Atlas proposes, it computes a unified diff and surfaces it for your approval before writing to disk. This allows you to review exactly what changes Atlas intends to make, such as adding a custom `Validator` or modifying `echo.Group` routes. Atlas also reads `git` branches, status, and diffs, and can stage and create commits on your behalf, or snapshot file changes as `git` patches for easy rollback. This robust review process ensures that any modifications, including running `gofumpt` over touched packages, are intentional and align with your Echo project's standards.

Summarizing the Call Path for Echo Behavior

Once the behavior's implementation is located, Atlas summarizes the call path with concrete file and line references, providing a clear roadmap for Echo developers. This final step consolidates the findings from `codebase_search`, `grep`, and `lsp` into an actionable report, saving valuable time in 2026's fast-paced development cycles.

After Atlas has successfully identified the exact file and symbol responsible for a given behavior in your Echo application, it doesn't just leave you with raw search results. Instead, Atlas synthesizes all the gathered information into a concise summary of the call path. This summary includes concrete file paths and line references, making it easy for you to navigate directly to the relevant code. For example, it might point to `internal/handlers/user_handler.go:45` for a specific route or `pkg/middleware/auth.go:112` for an authentication check. This final, actionable output is crucial for an Echo developer who needs to quickly understand the flow of execution, debug an issue, or extend existing functionality. It transforms a complex retrieval problem into a clear, understandable roadmap, leveraging all the insights gained from semantic search, keyword matching, and symbol graph navigation.

Step by step

01Run Atlas in your Echo module, ensuring your `go.mod` requires `github.com/labstack/echo/v4`.
02Describe the behavior you want to locate using `atlas codebase_search "how does Echo handle routing for /users/:id"` to leverage semantic retrieval.
03Confirm candidate files with `atlas grep "func GetUser" --include="*handler.go"` using a real regex and path filters.
04Open the most promising Echo file with `atlas read "internal/handlers/user_handler.go"` and review its contents.
05Use `atlas lsp findReferences "GetUser"` to see all callsites of the identified function within your Echo project.
06Jump to related declarations, such as `echo.NewHTTPError`, using `atlas lsp workspaceSymbol "echo.NewHTTPError"` to understand error handling.
07Ask Atlas to summarize the call path back to you with concrete file and line references, like `atlas summarize "call path for user retrieval logic"`.
08If Atlas suggests code changes, review the unified diff with `atlas review diff` and approve before writing, then let Atlas run `gofumpt` over touched packages.

Frequently asked questions

How does Atlas find Echo code without exact keywords?: Atlas uses `codebase_search` with hybrid semantic and keyword retrieval, indexing by AST declarations using tree-sitter, to find relevant Echo code even when your query doesn't match exact text. This is particularly effective for Echo's typed `Context` and custom binders.
Can Atlas help me understand Echo's custom binders or middleware order?: Yes, Atlas's semantic search and `lsp` tool can help you navigate and understand custom binders, `echo.Group` routes, and middleware order by analyzing their declarations and references within your Echo codebase.
How does Atlas ensure I'm looking at the right Echo file?: Atlas's `read` tool fails loudly with 'File not found' and 'Did you mean' suggestions if you provide a bad path, ensuring you always work with correct Echo file references and preventing wasted time.
What if Atlas suggests changes to my Echo code?: Atlas drafts a plan in a read-only agent, asks for permission before running tools, and computes a unified diff for every file edit, which you must approve before it writes to your Echo project. It can also run `gofumpt` over touched packages.
Does Atlas integrate with Echo's testing tools?: Yes, Atlas can be asked to cover handlers with `go test` using `httptest`, behind a permission prompt, and can run `gofumpt` over touched packages to maintain code quality.
How does Atlas handle `go.mod` dependencies in Echo projects?: Atlas operates within your module whose `go.mod` requires `github.com/labstack/echo/v4`, leveraging this context for its code indexing and `lsp` operations to understand your project's structure and dependencies.
Can Atlas help me find where `echo.NewHTTPError` is used?: Absolutely. Using the `lsp` tool's `findReferences` operation, Atlas can show you every callsite of `echo.NewHTTPError` within your Echo codebase, helping you trace error handling logic.

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