Mpatch
A smart, context-aware patch tool for the modern developer.
mpatch applies diffs using context-aware fuzzy matching instead of strict line numbers. It locates changes based on the surrounding code, making it resilient to code drift. It works seamlessly with AI-generated suggestions, raw diffs, conflict markers, and markdown snippets.
Why mpatch?
The primary motivation for mpatch comes from working with Large Language Models (LLMs).
When you ask an AI like ChatGPT, Claude, or Copilot to refactor code, it often provides the changes in a convenient markdown format inside code blocks. However, you can't trust that the line numbers are correct. Sometimes, even the surrounding context lines aren't a perfect, character-for-character match to your current code. A standard patch command will often fail in these situations.
This is the core problem mpatch was built to solve.
It intelligently ignores line numbers and uses a fuzzy, context-based search to find where the patch should apply. This makes it highly resilient to the small inaccuracies common in AI-generated diffs, allowing you to apply them with confidence.
This same logic makes it perfect for other common developer scenarios where patches are less formal:
- Code Snippets: Using a diff copied from a GitHub comment, a blog post, or a team chat.
- Iterative Development: Applying a patch to a branch that has slightly diverged from where the patch was created.
Core Features
- Format Agnostic: Automatically detects and parses Markdown code blocks, raw Unified Diffs, and Conflict Markers (
<<<<,====,>>>>). Just pass the file, andmpatchfigures it out. - Context-Driven: Primarily finds patch locations by matching context lines, making it resilient to preceding file changes. It intelligently uses the
@@ ... @@line numbers as a hint to resolve ambiguity when the same context appears in multiple places. - Fuzzy Matching: If an exact context match isn't found,
mpatchuses a sophisticated similarity algorithm to find the best fuzzy match. This logic can handle cases where lines have been added or removed near the patch location, allowing patches to apply even when the surrounding context has moderately diverged. - Highly Performant: The most computationally intensive task—fuzzy searching—is parallelized to take full advantage of multi-core processors, ensuring fast performance even on large files.
- Safe & Secure: Includes a
--dry-runmode to preview changes and built-in protection against path traversal attacks. - Flexible: Handles multiple files and multiple hunks in a single pass. It correctly processes file creations, modifications, and deletions (by removing all content from a file).
- Informative Logging: Adjustable verbosity levels (
-v,-vv) to see exactly whatmpatchis doing.
Supported Input Formats
mpatch automatically detects the format based on the content of your input file, regardless of the file extension.
1. Markdown
Commonly output by AI (ChatGPT, Claude, etc.). mpatch scans for code blocks containing diffs. It supports variable-length fences (e.g., ````) and correctly ignores nested code blocks (like diffs inside documentation examples).
Here is the fix:
```diff
--- a/src/main.rs
@@ -1 +1 @@
-println!("Old");
+println!("New");
```
2. Raw Unified Diff
Standard output from tools like git diff.
-println!("Old");
+println!("New");
3. Conflict Markers
Often used by AI (Gemini 3, etc.) to show "before" and "after" states without full headers.
<<<<
println!("Old");
====
println!("New");
>>>>
Library Usage
While mpatch is a powerful CLI tool, it's also designed to be used as a library in your own Rust projects. The core logic is exposed through a simple and flexible API.
Add mpatch to your Cargo.toml:
Simple One-Shot Patching
Here's a basic example of how to parse a diff and apply it to a string in memory:
use ;
Advanced Usage: Applying to Files
For more control, or to apply patches to a directory structure, use parse_auto and apply_patches_to_dir.
use ;
use Path;
Strict Application (Apply-or-Fail)
For workflows where any failed hunk should be treated as an error, use the try_ variants (e.g., try_apply_patch_to_content). These return a Result that fails if any hunk cannot be applied, simplifying error handling.
use ;
For even more advanced use cases, such as iterating through hunks one by one, check out the library documentation on docs.rs.
Feature Flags
-
parallel(Enabled by default): Enables parallel processing for the fuzzy matching algorithm usingrayon. This significantly speeds up searching in large files. Disable this feature to reduce binary size or for environments that do not support threading (e.g., WASM).[] = { = "1.3.0", = false }
CLI Installation
Method 1: Using cargo-binstall (Recommended)
For users with the Rust toolchain, cargo-binstall is the fastest way to install mpatch. It downloads pre-compiled binaries, avoiding a local build.
First, install cargo-binstall if you don't have it. Here are a few quick methods:
On Linux and macOS:
|
Or, if you use Homebrew:
On Windows (PowerShell):
Set-ExecutionPolicy Unrestricted -Scope Process; iex (iwr "https://raw.githubusercontent.com/cargo-bins/cargo-binstall/main/install-from-binstall-release.ps1").Content
Once cargo-binstall is installed, you can install mpatch:
Method 2: From GitHub Releases (Manual)
Pre-compiled binaries for various platforms are available for direct download.
- Navigate to the GitHub Releases page.
- Find the latest release and download the archive that matches your system (e.g.,
.tar.gzfor Linux/macOS,.zipfor Windows). - Extract the
mpatchexecutable (mpatch.exeon Windows). - Move the executable to a directory in your system's
PATH(e.g.,/usr/local/binon Linux/macOS).
Binaries are available for the following targets:
| OS | Architecture | Target Triple |
|---|---|---|
| Linux | x86-64 | x86_64-unknown-linux-gnu |
| Linux | x86-64 | x86_64-unknown-linux-musl (static) |
| Linux | ARM64 | aarch64-unknown-linux-gnu |
| macOS | Intel | x86_64-apple-darwin |
| macOS | Apple Silicon | aarch64-apple-darwin |
| Windows | x86-64 | x86_64-pc-windows-msvc |
| Windows | x86 (32-bit) | i686-pc-windows-msvc |
| Windows | ARM64 | aarch64-pc-windows-msvc |
Method 3: From Crates.io (Build from Source)
If you have the Rust toolchain installed, you can compile and install mpatch from the official package registry:
Method 4: From Source (for Developers)
To build the very latest development version or to contribute to the project:
# Install directly from the main branch of the repository
# Or, to work on the code locally:
CLI Usage
Basic Command
Verifying Changes with --dry-run
Before modifying any files, you can preview the exact changes using the -n or --dry-run flag. You can provide a markdown file, a raw diff, or a file with conflict markers.
This will produce a diff of the proposed changes for each file, printed directly to your terminal:
----- Proposed Changes for src/main.rs -----
fn main() {
- // This is the original program
- println!("Hello, world!");
+ // This is the updated program
+ println!("Hello, mpatch!");
}
------------------------------------
DRY RUN completed. No files were modified.
Applying Changes
Once you are confident in the proposed changes, run the command without --dry-run. Use -v for informational output.
You will see a confirmation log:
Found 1 patch operation(s) to perform.
Fuzzy matching enabled with threshold: 0.70
>>> Operation 1/1
Applying patch to: src/main.rs
Applying Hunk 1/1...
Successfully wrote changes to 'my-project/src/main.rs'
Successful operations: 1
Failed operations: 0
Key Options
-n,--dry-run: Show what changes would be made without modifying any files.-f,--fuzz-factor <FACTOR>: Set the similarity threshold for fuzzy matching, from0.0(disabled) to1.0(exact match). Default is0.7.-v,--verbose: Increase logging output. Use-vfor info,-vvfor debug,-vvvfor trace, and-vvvvto generate a comprehensive debug report file.
Troubleshooting
If a patch doesn't apply as expected, the best first step is to increase the logging verbosity to understand what mpatch is doing.
- Run with
-v: This shows which files and hunks are being processed. - Run with
-vv: This provides detailed debug information, including why a hunk might have failed to apply (e.g., "ambiguous match", "context not found"). - Run with
-vvv: This enables trace-level logging, showing the fuzzy matching scores and every step of the decision-making process.
Generating a Debug Report
For complex issues, the easiest way to gather all necessary information for a bug report is to use the -vvvv flag.
This command will:
- Print full trace logs to your terminal.
- Create a file named
mpatch-debug-report-[timestamp].mdin your current directory.
This single markdown file contains everything needed to reproduce the issue: the command you ran, system information, the full input patch file, the original content of all target files, the final content of all target files after patching, and the complete trace log.
License
This project is licensed under MIT LICENSE
Contributing
Contributions are welcome! Whether it's a bug report, a feature request, or a pull request, your input is valued.
Reporting Issues
When opening an issue, the best way to help us is to provide a debug report.
- Run your command again with the
-vvvvflag. - This will create a
mpatch-debug-report-[timestamp].mdfile. - Create a new issue on GitHub.
- Drag and drop the generated
.mdfile into the issue description to attach it. - Add any additional comments about what you expected to happen versus what actually happened.
The report includes the original and final state of all affected files, which is crucial for debugging. This self-contained report gives us all the context we need to investigate the problem efficiently.
Pull Requests
- Fork the repository.
- Create a new branch for your feature or bug fix.
- Make your changes.
- Add tests for your changes in the
tests/directory. - Ensure all tests pass by running
cargo test. - Format your code with
cargo fmt. - Submit a pull request with a clear description of your changes.