Atlas helps Bun developers in 2026 refactor legacy modules without changing behavior or breaking callers by leveraging the integrated `bun test` runner, `bun install` package manager, and `bun fmt` formatter to ensure structural changes are verified and safe, providing rapid iteration and full control.
How Atlas Maps Public APIs in a Bun Module
Atlas helps Bun developers in 2026 understand a legacy module's public surface by using the `lsp` tool's `documentSymbol` operation. This initial step identifies all exported symbols, ensuring a complete map of the module's external contract before any refactoring begins, often revealing dozens of references.
Atlas begins a Bun module refactor by thoroughly mapping its public surface. Using the `lsp` tool, Atlas executes the `documentSymbol` operation to identify all exported functions, classes, and variables within the target module. Following this, for each identified symbol, Atlas performs a `findReferences` operation. This crucial step enumerates every single callsite across the entire codebase, providing a comprehensive list of all external dependencies on the module. This detailed mapping is essential for understanding the full impact of any proposed structural changes and preventing silent breakage. Atlas then tracks these callsites in a `todowrite` list, ensuring that no partially migrated module can be mistaken for a finished one. This process ensures that every caller of the legacy Bun module is identified and considered.
How Atlas Pins Behavior with `bun test` Before Refactoring
Before Atlas makes any structural changes to a legacy Bun module, it first pins its existing behavior by running `bun test`. This establishes a green baseline, ensuring that the module's current functionality is fully understood and verified, typically completing in under 1 second due to Bun's speed.
A core principle of safe refactoring with Atlas in a Bun project is to first establish a behavioral baseline. Atlas uses the `bash` tool to execute `bun test`, the integrated test runner, against the module's existing test suite. This step records a 'green baseline,' confirming that all current tests pass and the module behaves as expected. This initial `bun test` run is critical: it provides a concrete, verifiable benchmark against which all subsequent changes will be measured. Atlas will re-run `bun test` after each significant structural change, not just once at the end, to immediately detect any regressions. This rapid iteration, facilitated by Bun's near-instant test execution, allows Atlas to quickly identify and correct any unintended behavioral shifts. Atlas will prompt for permission before running `bun test`, ensuring transparency and control over the execution of commands.
Applying Structural Changes to Bun Modules with Atlas's `apply_patch`
Atlas applies structural changes to Bun modules using its `apply_patch` tool, which anchors on context lines and old lines to ensure precise modifications. If a file has drifted, `apply_patch` will fail with 'Failed to find context,' preventing unintended edits and maintaining code integrity across 100% of changes.
Once the public surface is mapped and behavior is pinned, Atlas proceeds with structural changes using the `apply_patch` tool. This tool is designed for robust and safe modifications: it seeks each hunk's context and `old_lines` within the target file. This anchoring mechanism is crucial; if the file has drifted from the expected state (e.g., due to concurrent manual edits), `apply_patch` will fail with a 'Failed to find context' error. This prevents Atlas from applying patches against an outdated or incorrect file version, safeguarding the codebase from corruption. After each hunk successfully lands, Atlas immediately re-runs `bun test` via the `bash` tool. This iterative testing approach, rather than a single test run at the end, provides continuous verification, ensuring that each structural change maintains the module's original behavior. Atlas also computes a unified diff for every file edit and surfaces it for approval before writing, giving the developer full control.
Ensuring Bun Code Quality and Review with Atlas
Atlas integrates directly with Bun's native tooling to ensure high code quality and a transparent review process. Before any commit, Atlas runs `bun fmt` over the diff, ensuring 100% adherence to formatting standards and presenting a unified diff for developer approval.
Atlas ensures that refactored Bun modules adhere to established code quality standards and provides a robust review mechanism. Before staging and creating commits on your behalf, Atlas will run `bun fmt` over the generated diff. This ensures that all structural changes are automatically formatted according to the project's `bun fmt` configuration, preventing style inconsistencies. Every Atlas tool call is permission-gated, and every file edit results in a unified diff that is surfaced for approval. This allows developers to review the exact changes Atlas proposes, including those from `bun fmt`, before they are written to disk. Atlas also reads `git` branches, status, and diffs, and can stage and create commits, streamlining the entire refactoring workflow while maintaining full developer oversight and control. Atlas snapshots file changes as `git` patches, allowing edits to be easily diffed and rolled back if needed.
Step by step
- 01Ask Atlas to map the public surface of your legacy Bun module using the `lsp` tool's `documentSymbol` operation.
- 02Instruct Atlas to find all references for each exported symbol using `lsp findReferences` and track them in a `todowrite` list.
- 03Have Atlas run `bun test` via the `bash` tool to establish a green behavioral baseline for the module.
- 04Approve Atlas's plan to apply structural changes using `apply_patch`, reviewing each unified diff.
- 05After each `apply_patch` hunk, confirm Atlas re-runs `bun test` with `bash` to verify behavior.
- 06Before committing, allow Atlas to run `bun fmt` over the diff to ensure consistent formatting.
- 07Review and approve the final changes and commit proposed by Atlas.
Frequently asked questions
- How does Atlas prevent breaking callers in a Bun refactor?
- Atlas uses the `lsp` tool to `findReferences` for every exported symbol in your Bun module, enumerating all callsites before any changes. It then tracks these in a `todowrite` list, ensuring all callers are accounted for.
- Can Atlas work with my existing `bun test` suite?
- Yes, Atlas uses the `bash` tool to run your existing `bun test` suite. It establishes a green baseline before refactoring and re-runs tests after each structural change to verify behavior.
- What if my Bun file changes while Atlas is working?
- Atlas's `apply_patch` tool anchors on context lines. If the target Bun file has drifted, `apply_patch` will fail with 'Failed to find context,' preventing it from applying changes to an outdated file.
- Does Atlas automatically format my Bun code?
- Yes, Atlas can run `bun fmt` over the diff of its proposed changes before you approve the commit, ensuring your Bun code remains consistently formatted.
- How does Atlas ensure I maintain control over the refactoring process?
- Every Atlas tool call is permission-gated, and every file edit generates a unified diff for your approval. You review and approve all changes before they are written or committed.
- How does Bun's speed benefit refactoring with Atlas?
- Bun's near-instant execution for `bun test` and other operations allows Atlas to iterate extremely quickly. This means faster feedback loops when verifying changes and a more efficient refactoring workflow.
- Can Atlas help replace Node.js compatibility shims with native Bun APIs?
- Yes, you can ask Atlas to replace Node compatibility shims with native Bun APIs like `Bun.serve` or `Bun.file` and confirm the behavior with your `bun test` suite.
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