#code-review #artificial-intelligence #diff #analysis #git-diff #ai-model #commit-message #plugin-system #security

app diffscope

A composable code review engine with smart analysis, confidence scoring, and professional reporting

11 unstable releases (3 breaking)

0.5.3 Jun 7, 2025
0.5.2 Jun 7, 2025
0.4.4 Jun 7, 2025
0.3.0 Jun 7, 2025
0.2.0 Jun 7, 2025

#486 in Command line utilities

Download history 676/week @ 2025-06-02 136/week @ 2025-06-09 17/week @ 2025-06-16 1/week @ 2025-06-23

354 downloads per month

Apache-2.0

170KB
4K SLoC

DiffScope

A composable code review engine for automated diff analysis.

Features

  • Model Agnostic: Works with OpenAI, Anthropic Claude 4, Ollama, and any OpenAI-compatible API
  • Git Integration: Review uncommitted, staged, or branch changes directly
  • PR Reviews: Analyze and comment on GitHub pull requests with interactive commands
  • Smart Prompting: Advanced prompt engineering with examples, XML structure, and chain-of-thought
  • Commit Messages: AI-powered commit message suggestions following conventional commits
  • Composable Architecture: Modular components that work together
  • Plugin System: Extensible pre-analyzers and post-processors
  • Multiple Outputs: JSON, patch, or markdown formats
  • CI/CD Ready: GitHub Action, GitLab CI, and Docker support
  • Smart Review: Enhanced analysis with confidence scoring, fix effort estimation, and executive summaries
  • Path-Based Configuration: Customize review behavior for different parts of your codebase
  • Changelog Generation: Generate changelogs and release notes from git history
  • Interactive Commands: Respond to PR comments with @diffscope commands

Quick Start

Linux/macOS

curl -sSL https://raw.githubusercontent.com/haasonsaas/diffscope/main/install.sh | sh

Windows (PowerShell)

iwr -useb https://raw.githubusercontent.com/haasonsaas/diffscope/main/install.ps1 | iex

Manual Download

Download the latest binary for your platform from the releases page:

  • Linux: diffscope-x86_64-unknown-linux-musl
  • macOS Intel: diffscope-x86_64-apple-darwin
  • macOS Apple Silicon: diffscope-aarch64-apple-darwin
  • Windows: diffscope-x86_64-pc-windows-msvc.exe

Install via Package Managers

Homebrew (macOS/Linux)

brew tap haasonsaas/diffscope
brew install diffscope

Cargo (requires Rust)

cargo install diffscope

Docker

# Pull the latest image
docker pull ghcr.io/haasonsaas/diffscope:latest

# Run with current directory mounted
docker run --rm -v $(pwd):/workspace ghcr.io/haasonsaas/diffscope:latest review --diff /workspace/pr.diff

# Create an alias for convenience
alias diffscope='docker run --rm -v $(pwd):/workspace ghcr.io/haasonsaas/diffscope:latest'

Usage

Basic Usage

# Review your current changes
git diff | diffscope review

# Review a specific file diff
diffscope review --diff patch.diff

# Get enhanced analysis with smart review
git diff | diffscope smart-review

Git Integration

# Review what you're about to commit
diffscope git staged

# Review all uncommitted changes  
diffscope git uncommitted

# Compare your branch to main
diffscope git branch main

# Get AI-powered commit message suggestions
diffscope git suggest

Pull Request Review

# Review the current PR
diffscope pr

# Review a specific PR number
diffscope pr --number 123

# Post review comments directly to GitHub
diffscope pr --post-comments

Smart Review (Enhanced Analysis)

# Get professional-grade analysis with confidence scoring
git diff | diffscope smart-review

# Generate executive summary report
diffscope smart-review --diff changes.patch --output report.md

# Review with specific AI model
git diff | diffscope smart-review --model claude-3-5-sonnet-20241022

AI Model Configuration

# OpenAI (default)
export OPENAI_API_KEY=your-key
git diff | diffscope review --model gpt-4o

# Anthropic Claude
export ANTHROPIC_API_KEY=your-key  
git diff | diffscope review --model claude-3-5-sonnet-20241022

# Local Ollama
git diff | diffscope review --model ollama:codellama

Supported Models

OpenAI: gpt-4o, gpt-4-turbo, gpt-3.5-turbo

Anthropic:

  • Claude 4: claude-opus-4-20250514, claude-sonnet-4-20250514
  • Claude 3.5: claude-3-5-sonnet-20241022, claude-3-5-haiku-20240307
  • Claude 3: claude-3-opus-20240229, claude-3-haiku-20240307

Ollama: Any locally installed model (codellama, llama3.2, mistral, etc.)

Output Formats

# JSON output (default)
git diff | diffscope review --output-format json

# Markdown report  
git diff | diffscope review --output-format markdown > review.md

# Inline patch comments
git diff | diffscope review --output-format patch

GitHub Action

name: AI Code Review
on: [pull_request]

jobs:
  review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: haasonsaas/diffscope@v1
        with:
          model: gpt-4o
          openai-api-key: ${{ secrets.OPENAI_API_KEY }}
          post-comments: true

Configuration

Create a .diffscope.yml file in your repository:

model: gpt-4o
temperature: 0.2
max_tokens: 4000
system_prompt: "Focus on security vulnerabilities, performance issues, and best practices"

Plugin Development

Create custom analyzers:

export interface PreAnalyzer {
  id: string
  run(diff: UnifiedDiff, repoPath: string): Promise<LLMContextChunk[]>
}

export interface PostProcessor {
  id: string
  run(comments: Comment[], repoPath: string): Promise<Comment[]>
}

Architecture

graph LR
  A[git diff] --> B(core-engine)
  subgraph core-engine
    B1[Diff Parser]
    B2[Context Fetcher]
    B3[Prompt Builder]
    B4[LLM Adapter]
    B5[Comment Synthesizer]
  end
  B -->|JSON| C(output)

License

Apache-2.0 License. See LICENSE for details.

Example Output

Standard Review

[
  {
    "file_path": "src/auth.py",
    "line_number": 42,
    "content": "Potential SQL injection vulnerability",
    "severity": "Error",
    "category": "Security",
    "suggestion": "Use parameterized queries instead of string interpolation"
  }
]

Smart Review Output

# šŸ¤– Smart Review Analysis Results

## šŸ“Š Executive Summary

🟔 **Code Quality Score:** 8.2/10
šŸ“ **Total Issues Found:** 4
🚨 **Critical Issues:** 1
šŸ“ **Files Analyzed:** 3

### šŸŽÆ Priority Actions
1. Address 1 security issue(s) immediately
2. Consider performance optimization for database queries

---

## šŸ” Detailed Analysis

### šŸ”“ Critical Issues (Fix Immediately)

#### šŸ”’ **src/auth.py:42** - šŸ”“ Significant Effort Security
**Confidence:** 95% | **Tags:** `security`, `sql`, `injection`

SQL injection vulnerability detected. User input is directly interpolated into query string without proper sanitization.

**šŸ’” Recommended Fix:**
Use parameterized queries to prevent SQL injection attacks.

**šŸ”§ Code Example:**
```diff
- query = f"SELECT * FROM users WHERE username='{username}'"
+ query = "SELECT * FROM users WHERE username=%s"
+ cursor.execute(query, (username,))

🟔 High Priority Issues

⚔ src/models.py:28 - 🟔 Moderate Effort Performance

Confidence: 87% | Tags: performance, n+1-query

N+1 query problem detected in user retrieval loop.

šŸ’” Recommended Fix: Use eager loading or bulk queries to reduce database calls.


### Commit Message Suggestion

feat(auth): add JWT-based authentication system


## Author

Jonathan Haas <jonathan@haas.holdings>

## Advanced CI/CD Integration

### Enterprise GitHub Actions Workflow

Here's an example of how large organizations use diffscope in production CI/CD pipelines:

```yaml
name: AI Code Review
on:
  pull_request:
    types: [opened, synchronize]
    branches: [main]

jobs:
  ai-code-review:
    name: AI Code Review with DiffScope
    runs-on: ubuntu-latest
    permissions:
      contents: read
      pull-requests: write

    steps:
      - name: Checkout PR
        uses: actions/checkout@v4
        with:
          fetch-depth: 0
          ref: ${{ github.event.pull_request.head.sha }}

      - name: Install DiffScope with Cache
        uses: actions/cache@v4
        with:
          path: ~/.cargo/bin
          key: ${{ runner.os }}-diffscope-${{ hashFiles('**/Cargo.lock') }}
      
      - run: |
          if ! command -v diffscope &> /dev/null; then
            cargo install diffscope
          fi

      - name: Generate PR Diff
        run: |
          git diff origin/${{ github.event.pull_request.base.ref }}...HEAD > pr.diff

      - name: Run AI Review
        env:
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
        run: |
          diffscope review --model claude-3-5-sonnet-20241022 \
            --diff pr.diff --output-format json > review.json

      - name: Post Review Comments
        uses: actions/github-script@v7
        with:
          script: |
            const fs = require('fs');
            const review = JSON.parse(fs.readFileSync('review.json', 'utf8'));
            
            let body = '## šŸ¤– AI Code Review\n\n';
            if (review.length === 0) {
              body += 'āœ… **No issues found!** Code looks good!';
            } else {
              body += review.map((item, i) => 
                `**${i+1}.** \`${item.file_path}:${item.line_number}\`\n` +
                `${item.content}\n` +
                (item.suggestion ? `\nšŸ’” **Suggestion:** ${item.suggestion}\n` : '')
              ).join('\n---\n');
            }
            
            github.rest.issues.createComment({
              issue_number: context.issue.number,
              owner: context.repo.owner,
              repo: context.repo.repo,
              body: body
            });

Enterprise Configuration Example

For a large Python/FastAPI application at a company like Acme Inc:

.diffscope.yml

# Acme Inc DiffScope Configuration
model: "claude-3-5-sonnet-20241022"
temperature: 0.1  # Low for consistent reviews
max_tokens: 4000

system_prompt: |
  You are reviewing Python code for a production FastAPI application.
  
  Critical focus areas:
  - SQL injection and security vulnerabilities
  - Async/await correctness
  - Resource leaks and memory issues
  - API contract consistency
  - Production deployment concerns
  
  Prioritize by severity: Security > Performance > Maintainability

# File filters for monorepo
include_patterns:
  - "src/**/*.py"
  - "tests/**/*.py"
  - "alembic/versions/*.py"
  - "*.yml"
  - "Dockerfile*"

exclude_patterns:
  - "**/__pycache__/**"
  - "**/venv/**"
  - "**/.pytest_cache/**"
  - "**/node_modules/**"

# Review configuration
max_diff_size: 10000
context_lines: 3

Integration with Other CI Tools

GitLab CI Example:

code-review:
  stage: review
  image: rust:alpine
  only:
    - merge_requests
  script:
    - apk add --no-cache git
    - cargo install diffscope
    - git diff origin/$CI_MERGE_REQUEST_TARGET_BRANCH_NAME...HEAD > mr.diff
    - diffscope smart-review --diff mr.diff --output review.md
  artifacts:
    reports:
      codequality: review.md

Jenkins Pipeline:

stage('AI Code Review') {
  steps {
    sh '''
      curl -sSL https://sh.rustup.rs | sh -s -- -y
      source $HOME/.cargo/env
      cargo install diffscope
      
      git diff origin/${env.CHANGE_TARGET}...HEAD > pr.diff
      diffscope review --diff pr.diff --output-format json > review.json
    '''
    
    publishHTML([
      allowMissing: false,
      alwaysLinkToLastBuild: true,
      keepAll: true,
      reportDir: '.',
      reportFiles: 'review.json',
      reportName: 'AI Code Review'
    ])
  }
}

Best Practices for CI/CD Integration

  1. Cache Installation: Cache cargo/diffscope binaries to speed up CI runs
  2. API Key Management: Use secure secret storage for API keys
  3. Diff Size Limits: Set max diff size to avoid timeouts on large PRs
  4. Custom Prompts: Tailor system prompts to your tech stack and standards
  5. Output Parsing: Handle both empty reviews and JSON parsing errors gracefully
  6. Conditional Runs: Skip reviews on draft PRs or specific file types

New Features in v0.5.0

šŸ”„ Changelog Generation

Generate professional changelogs and release notes from your git history:

# Generate changelog from a specific tag to HEAD
diffscope changelog --from v0.4.0 --to HEAD

# Generate release notes for a new version
diffscope changelog --release v0.5.0 --from v0.4.0

# Output to file
diffscope changelog --from v0.4.0 --output CHANGELOG.md

The changelog generator:

  • Parses conventional commits automatically
  • Groups changes by type (features, fixes, etc.)
  • Highlights breaking changes
  • Shows contributor statistics
  • Generates both changelogs and release notes formats

šŸŽÆ Path-Based Configuration

Customize review behavior for different parts of your codebase:

.diffscope.yml

# Global configuration
model: gpt-4o
temperature: 0.2
max_tokens: 4000

# Exclude patterns
exclude_patterns:
  - "**/*.generated.*"
  - "**/node_modules/**"

# Path-specific rules
paths:
  # API endpoints need security focus
  "src/api/**":
    focus:
      - security
      - validation
      - authentication
    severity_overrides:
      security: error  # All security issues become errors
    system_prompt: |
      Focus on SQL injection, auth bypass, and input validation

  # Test files have different standards
  "tests/**":
    focus:
      - coverage
      - assertions
    severity_overrides:
      style: suggestion  # Style issues are just suggestions

  # Database migrations are critical
  "migrations/**":
    severity_overrides:
      bug: error  # Any bug in migrations is critical

šŸ’¬ Interactive PR Commands

Respond to pull request comments with interactive commands:

@diffscope review                 # Re-review the changes
@diffscope review security        # Focus review on security
@diffscope ignore src/generated/  # Ignore specific paths
@diffscope explain line 42        # Explain specific code
@diffscope generate tests         # Generate unit tests
@diffscope help                   # Show all commands

šŸ“Š PR Summary Generation

Generate executive summaries for pull requests:

# Generate PR summary with statistics
diffscope pr --summary

# Generate and post to GitHub
diffscope pr --number 123 --summary --post-comments

The summary includes:

  • Change statistics and impact analysis
  • Key modifications by category
  • Risk assessment
  • Review recommendations

Contributing

Contributions are welcome! Please open an issue first to discuss what you would like to change.

Supported Platforms

DiffScope provides pre-built binaries for the following platforms:

Platform Architecture Binary
Linux x86_64 diffscope-x86_64-unknown-linux-musl (static, works on all distros)
Linux x86_64 diffscope-x86_64-unknown-linux-gnu
Linux ARM64 diffscope-aarch64-unknown-linux-gnu
macOS Intel (x86_64) diffscope-x86_64-apple-darwin
macOS Apple Silicon (ARM64) diffscope-aarch64-apple-darwin
Windows x86_64 diffscope-x86_64-pc-windows-msvc.exe

All binaries are automatically built and uploaded with each release.

Support

Dependencies

~22–37MB
~609K SLoC