Code Diff Tool VSCode

Compares two code blocks to generate a diff for review and patch export.

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About This Tool

The Code Diff Tool VSCode compares two code blocks or files to produce a precise diff for review, debugging, and patch generation. It is designed for developers who work with VSCode or import/export diffs into version control workflows. When a change must be verified across branches or merged, the tool provides fast, machine-readable diff data that can feed automation and PR tooling.
The engine takes two text inputs, optionally a language hint, and applies a diff algorithm. It can operate in side-by-side or inline mode and supports options such as ignore whitespace and ignore case. Output includes a patch-like text (unified diff) and per-file statistics. It emphasizes determinism and reproducibility so teams can audit changes.
Users include software engineers, code reviewers, build engineers, and educators who compare submissions to references. Unique differentiators include language-aware alignment when a hint is provided, clean export formats compatible with patch workflows, and a lightweight, fast diff path designed for IDE workflows. Core features include input normalization, two-input diff, optional context depth, patch export, and robust handling of non-text inputs with clear errors. Typical use cases include code review, bug verification, refactor validation, and educational diffing.

How to Use

  1. Provide inputs for left_code and right_code (or file paths) and optional names.
  2. Select diff mode: side-by-side or inline, and set context depth.
  3. Enable optional rules: ignore_whitespace, ignore_case, language_hint if applicable.
  4. Run comparison to generate a diff output and statistics.
  5. Review the diff and export or copy the patch for integration into a PR or patch workflow.
How to use code diff tool vscode

Frequently Asked Questions

Find Quick Answers

What outputs does the tool provide?
The tool returns a diff_text in unified or side-by-side format, plus statistics such as added_lines, removed_lines, and total_lines. It also exposes a status indicating success or specific errors, enabling automation pipelines to react accordingly.
Can it handle large files or binary inputs?
Large text inputs are processed in batches or chunks to manage memory. Binary inputs require language_hint or encoding flags; otherwise the tool may flag them as non-text and return an appropriate error with guidance for conversion.
Is language_hint useful?
Yes. Language hints improve token alignment and highlight structure for certain languages, producing more meaningful diffs. If omitted, the tool performs a generic line-based diff suitable for most text cases.
What diff modes are available?
The tool supports side-by-side and inline diff presentations. Users can toggle between modes to suit review preferences, with context_lines and ignore options affecting the diff granularity.

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