v1.0.15

What's Changed

• release: v1.0.14 refactor cli startup and update version by @omsherikar in #97
• Release/v1.0.15 by @omsherikar in #98

Full Changelog: v1.0.14...v1.0.15

v1.0.14

Release Notes: Refactron v1.0.14

Overview

Refactron v1.0.14 represents a significant update to the platform, introducing the Pattern Learning System, substantial performance optimizations, and a redesigned command-line interface. This release focuses on enhancing the intelligence of refactoring suggestions, increasing analysis speed for large-scale codebases, and improving the overall developer experience.

---

Key Highlights

Pattern Learning System

This release introduces the foundation for project-specific intelligence, allowing Refactron to adapt to unique coding standards and patterns.

• Pattern Learning Engine: Core infrastructure for identifying and learning project-specific refactoring patterns.
• Suggestion Ranking System: Implements intelligent prioritization of refactoring suggestions based on calculated risk and potential impact.
• Feedback Collection: An interactive feedback loop that allows the system to improve its pattern recognition accuracy based on user actions.

Performance and Scalability

Significant architectural improvements have been made to support large-scale codebases with minimal overhead.

• Incremental Analysis: Optimized analysis workflow that only processes files modified since the previous execution.
• Parallel Processing: Multi-threaded analysis support to maximize hardware utilization during large-scale scans.
• AST Caching: Implementation of Abstract Syntax Tree (AST) caching to accelerate repeated analysis operations.

Command-Line Interface (CLI) Enhancements

The CLI has been redesigned to provide a more professional and informative interface.

• Enhanced Welcome Flow: Includes automated system health checks and rotating technical tips during startup.
• Interactive Dashboard: A centralized information center for rapid access to versioning and help documentation.
• Custom Help Formatter: Improved command discovery through a structured and numbered help output.

Safety and Reliability

• Backup and Rollback System: A Git-integrated safety mechanism providing the ability to revert refactoring operations.
• Enhanced Error Handling: Implementation of custom exceptions and graceful degradation to ensure system stability.
• Authentication Enforcement: Mandatory authentication for core operations to ensure secure access.

---

Detailed Changelog

Added

• Pattern Learning System: Engine, Rule Tuner, Ranking, and Feedback collection modules.
• CLI Enhancements: Redesigned welcome flow, Dashboard, Custom Help, and Authentication enforcement.
• Performance: AST Cache, Incremental Analysis, and Parallel Processing capabilities.
• Reliability: Integrated Backup/Rollback system and enhanced error reporting.
• Integration: Advanced Configuration Management, CI/CD Templates, and Prometheus Metrics support.

Fixed

• Resolved multiple linting and type-checking violations across the codebase.
• Improved compatibility with Python 3.8 through explicit type hinting.
• Optimized project type detection for large-scale repositories.
• Fixed critical issues related to feedback persistence and test isolation.

---

Installation and Updates

To update to the latest version, execute the following command:

pip install --upgrade refactron
refactron --version




## Full Comparison: [v1.0.1...v1.0.12](https://github.com/Refactron-ai/Refactron_lib/compare/v1.0.1...v1.0.12)

v1.0.13

Release Notes: Refactron v1.0.12

Overview

Refactron v1.0.12 represents a significant update to the platform, introducing the Pattern Learning System, substantial performance optimizations, and a redesigned command-line interface. This release focuses on enhancing the intelligence of refactoring suggestions, increasing analysis speed for large-scale codebases, and improving the overall developer experience.

---

Key Highlights

Pattern Learning System

This release introduces the foundation for project-specific intelligence, allowing Refactron to adapt to unique coding standards and patterns.

• Pattern Learning Engine: Core infrastructure for identifying and learning project-specific refactoring patterns.
• Suggestion Ranking System: Implements intelligent prioritization of refactoring suggestions based on calculated risk and potential impact.
• Feedback Collection: An interactive feedback loop that allows the system to improve its pattern recognition accuracy based on user actions.

Performance and Scalability

Significant architectural improvements have been made to support large-scale codebases with minimal overhead.

• Incremental Analysis: Optimized analysis workflow that only processes files modified since the previous execution.
• Parallel Processing: Multi-threaded analysis support to maximize hardware utilization during large-scale scans.
• AST Caching: Implementation of Abstract Syntax Tree (AST) caching to accelerate repeated analysis operations.

Command-Line Interface (CLI) Enhancements

The CLI has been redesigned to provide a more professional and informative interface.

• Enhanced Welcome Flow: Includes automated system health checks and rotating technical tips during startup.
• Interactive Dashboard: A centralized information center for rapid access to versioning and help documentation.
• Custom Help Formatter: Improved command discovery through a structured and numbered help output.

Safety and Reliability

• Backup and Rollback System: A Git-integrated safety mechanism providing the ability to revert refactoring operations.
• Enhanced Error Handling: Implementation of custom exceptions and graceful degradation to ensure system stability.
• Authentication Enforcement: Mandatory authentication for core operations to ensure secure access.

---

Detailed Changelog

Added

• Pattern Learning System: Engine, Rule Tuner, Ranking, and Feedback collection modules.
• CLI Enhancements: Redesigned welcome flow, Dashboard, Custom Help, and Authentication enforcement.
• Performance: AST Cache, Incremental Analysis, and Parallel Processing capabilities.
• Reliability: Integrated Backup/Rollback system and enhanced error reporting.
• Integration: Advanced Configuration Management, CI/CD Templates, and Prometheus Metrics support.

Fixed

• Resolved multiple linting and type-checking violations across the codebase.
• Improved compatibility with Python 3.8 through explicit type hinting.
• Optimized project type detection for large-scale repositories.
• Fixed critical issues related to feedback persistence and test isolation.

---

Installation and Updates

To update to the latest version, execute the following command:

pip install --upgrade refactron
refactron --version




## Full Comparison: [v1.0.1...v1.0.12](https://github.com/Refactron-ai/Refactron_lib/compare/v1.0.1...v1.0.12)

**Full Changelog**: https://github.com/Refactron-ai/Refactron_lib/compare/v1.0.12...v1.0.13

Release v1.0.1

Changelog

All notable changes to Refactron will be documented in this file.

The format is based on Keep a Changelog,
and this project adheres to Semantic Versioning.

[Unreleased]

Planned

• AI-powered pattern recognition
• VS Code extension
• PyCharm plugin
• Advanced custom rule engine
• Performance profiling

---

[1.0.1] - 2025-12-28

Added

Analyzer Enhancements (#37)

• New Security Patterns:
  • SQL parameterization detection (SEC009) - Identifies unsafe SQL string formatting
  • SSRF (Server-Side Request Forgery) vulnerability detection (SEC010)
  • Insecure random number generation detection (SEC011)
  • Weak SSL/TLS configuration detection (SEC012, SEC013)
  • Cryptographic weaknesses detection (weak hashing algorithms)
• Complexity Analyzer Improvements:
  • Nested loop depth detection (C003) - Flags deeply nested loops that impact performance
  • Method call chain complexity detection (C004) - Identifies overly long method chaining
• Performance Analyzer - New analyzer detecting performance antipatterns:
  • N+1 query detection (P001) - Identifies database queries inside loops
  • Inefficient list comprehensions (P002, P003) - Detects patterns that can be optimized
  • Unnecessary iterations (P004) - Finds redundant loops and iterations
  • Inefficient string concatenation (P005) - Detects string building in loops
  • Redundant list conversions (P006) - Finds unnecessary list() wrappers
• Code Smell Analyzer Enhancements:
  • Improved unused import detection (S006) - More accurate analysis of import usage
  • Repeated code block detection - Identifies duplicate code patterns within functions

False Positive Reduction (#39, #40)

• Context-Aware Security Analysis - Adjusts confidence scores based on file context:
  • Test files get 60% confidence multiplier for certain rules (eval, pickle, random)
  • Example/demo files get 70% confidence multiplier
  • Reduces false positives for legitimate test code
• Rule Whitelisting - Configuration-based whitelisting of security rules for specific file patterns
• False Positive Tracking System - FalsePositiveTracker class to learn and track known false positives
• Confidence Scores - All security issues now include confidence scores (0.0-1.0) indicating detection certainty
• Minimum Confidence Filtering - Filter out low-confidence issues via configuration

Test Coverage Improvements (#47, #48)

• Comprehensive Edge Case Tests - Added extensive edge case coverage for all analyzers
• Real-World Test Datasets - Test suites with real-world problematic code patterns
• Integration Tests - Improved integration test coverage across analyzer modules
• Achieved 96.8% test coverage for analyzer modules

Developer Experience

• Pre-commit hooks configuration for automated code quality checks
• SECURITY.md with comprehensive security policy and vulnerability reporting process
• CONTRIBUTING_QUICKSTART.md for fast contributor onboarding (5-minute setup)
• Performance benchmarking suite in benchmarks/ directory
• Pre-commit GitHub Actions workflow for CI/CD
• Enhanced README badges (Black, pre-commit, security scanning)
• Comprehensive documentation for false positive reduction features

Changed

• Formatted 10 files with Black in examples/ and real_world_tests/ directories
• Updated README with accurate test coverage (84%) and test count (135)
• Improved contributing documentation with quick start guide
• Updated CI/CD metrics in README
• Security analyzer now uses context-aware confidence scoring
• Enhanced code smell detection accuracy for unused imports

Fixed

• Fixed flake8 violations in simplify_conditionals_refactorer.py
• Fixed flake8 violations in reduce_parameters_refactorer.py
• Reduced total flake8 issues from 294 to ~17 (94% improvement)
• Fixed code formatting issues in examples directory
• Improved security analyzer accuracy by reducing false positives in test files

---

[1.0.0] - 2025-10-27

🎉 Major Release - Production Ready!

First stable release with complete auto-fix system and Phase 3 features.

Added

Phase 3: Auto-fix System

• Auto-fix Engine - Intelligent automatic code fixing with safety guarantees
• 14 Automatic Fixers - Fix common issues automatically
  • 🟢 remove_unused_imports - Remove unused import statements (risk: 0.0)
  • 🟢 sort_imports - Sort imports using isort (risk: 0.0)
  • 🟢 remove_trailing_whitespace - Clean whitespace (risk: 0.0)
  • 🟡 extract_magic_numbers - Extract to named constants (risk: 0.2)
  • 🟡 add_docstrings - Add missing documentation (risk: 0.1)
  • 🟡 remove_dead_code - Remove unreachable code (risk: 0.1)
  • 🟡 normalize_quotes - Standardize quote style (risk: 0.1)
  • 🟡 simplify_boolean - Simplify boolean expressions (risk: 0.3)
  • 🟡 convert_to_fstring - Modernize string formatting (risk: 0.2)
  • 🟡 remove_unused_variables - Clean unused variables (risk: 0.2)
  • 🟡 fix_indentation - Fix tabs/spaces (risk: 0.1)
  • 🟡 add_missing_commas - Add trailing commas (risk: 0.1)
  • 🟡 remove_print_statements - Remove debug prints (risk: 0.3)
  • 🔴 fix_type_hints - Add type hints (risk: 0.4, placeholder)

File Operations & Safety

• Atomic File Writes - Safe file operations (temp file → rename)
• Automatic Backups - All changes backed up before applying
• Rollback System - Undo individual files or all at once
• Backup Index - Track all backups with timestamps
• Safety Levels - Control fix risk (safe/low/moderate/high)

CLI Enhancements

• New Command: refactron autofix - Automatic code fixing
• Safety Level Flags - --safety-level for risk control
• Preview Mode - See changes before applying
• Apply Mode - Apply fixes with automatic backup

Improved

• Test Coverage - 135 tests (was 98) → +37 auto-fix tests
• Overall Coverage - 81% (maintained high coverage)
• Production Status - Changed from Beta to Stable
• Documentation - Added comprehensive manual testing guide

Fixed

• All existing bugs from v0.1.0-beta
• Edge cases in fixer logic
• File operation safety

Technical Details

• Added refactron/autofix/ module
  • engine.py - Auto-fix engine (95% coverage)
  • fixers.py - 14 concrete fixers (88% coverage)
  • file_ops.py - File operations (87% coverage)
  • models.py - Data models (100% coverage)
• Added 37 comprehensive tests
• File backup stored in .refactron_backups/
• Backup index: .refactron_backups/index.json

---

[0.1.0-beta] - 2025-10-25

🎉 Initial Beta Release

First production-ready beta release of Refactron!

Recent Improvements (Pre-Release Polish)

• Fixed security analyzer false positives for package metadata (__author__, __version__, etc.)
• Improved CLI code quality by extracting helper functions
  • analyze() function simplified (reduced complexity)
  • refactor() function simplified (reduced complexity)
• Added 11 comprehensive tests for Extract Method refactorer
  • Coverage improved from 62% → 97%
• Increased overall test coverage from 89% → 90%
• Increased total tests from 87 → 98
• Eliminated all critical issues in production code (1 → 0)

Added

Core Features

• Plugin-based analyzer system for extensibility
• Refactoring suggestion engine with before/after previews
• Risk scoring system (0.0-1.0 scale) for safe refactoring
• Configuration management via YAML files
• Rich CLI interface with colors and progress indicators

Analyzers (8 Total)

• Complexity Analyzer - Cyclomatic complexity, maintainability index
• Code Smell Analyzer - Too many parameters, deep nesting, magic numbers
• Security Analyzer - eval/exec detection, hardcoded secrets, injection patterns
• Dependency Analyzer - Wildcard imports, unused imports, circular dependencies
• Dead Code Analyzer - Unused functions, unreachable code, empty functions
• Type Hint Analyzer - Missing type annotations, incomplete generics
• Extract Method Analyzer - Identify complex functions that should be split
• Base Analyzer - Abstract base for custom analyzers

Refactorers (6 Total)

• Magic Number Refactorer - Extract magic numbers to constants
• Reduce Parameters Refactorer - Convert parameter lists to config objects
• Simplify Conditionals Refactorer - Transform nested if statements to guard clauses
• Add Docstring Refactorer - Generate contextual docstrings
• Extract Method Refactorer - Suggest method extraction
• Base Refactorer - Abstract base for custom refactorers

CLI Commands

• refactron analyze - Analyze code for issues
• refactron refactor - Generate refactoring suggestions
• refactron report - Create detailed reports (text, JSON, HTML)
• refactron init - Initialize configuration file

Testing

• 87 tests with 89% coverage
• Unit tests for all analyzers
• Integration tests for CLI
• Real-world testing on 5,800 lines of code
• Edge case and error handling tests

Documentation

• Comprehensive README with quick start
• Architecture documentation
• Developer setup guide
• Real-world case study with metrics
• Usage examples (Flask, Data Science, CLI)
• Complete feature matrix

Examples

• Bad code examples for testing
• Flask API with security issues
• Data science workflow issues
• CLI tool best practices
• Refactoring demonstration
• Phase 2 analyzer showcase

Performance

• 4,300 lines per second analysis speed
• Low memory footprint
• Suitable for CI/CD integration
• Fast enough for pre-commit hooks (<2s typical)

Quality Metrics

• 89% test ...

Refactron v1.0.0 release

Changelog

All notable changes to Refactron will be documented in this file.

The format is based on Keep a Changelog,
and this project adheres to Semantic Versioning.

[Unreleased]

Planned

• AI-powered pattern recognition
• VS Code extension
• PyCharm plugin
• Advanced custom rule engine
• Performance profiling

---

[1.0.0] - 2025-10-27

🎉 Major Release - Production Ready!

First stable release with complete auto-fix system and Phase 3 features.

Added

Phase 3: Auto-fix System

• Auto-fix Engine - Intelligent automatic code fixing with safety guarantees
• 14 Automatic Fixers - Fix common issues automatically
  • 🟢 remove_unused_imports - Remove unused import statements (risk: 0.0)
  • 🟢 sort_imports - Sort imports using isort (risk: 0.0)
  • 🟢 remove_trailing_whitespace - Clean whitespace (risk: 0.0)
  • 🟡 extract_magic_numbers - Extract to named constants (risk: 0.2)
  • 🟡 add_docstrings - Add missing documentation (risk: 0.1)
  • 🟡 remove_dead_code - Remove unreachable code (risk: 0.1)
  • 🟡 normalize_quotes - Standardize quote style (risk: 0.1)
  • 🟡 simplify_boolean - Simplify boolean expressions (risk: 0.3)
  • 🟡 convert_to_fstring - Modernize string formatting (risk: 0.2)
  • 🟡 remove_unused_variables - Clean unused variables (risk: 0.2)
  • 🟡 fix_indentation - Fix tabs/spaces (risk: 0.1)
  • 🟡 add_missing_commas - Add trailing commas (risk: 0.1)
  • 🟡 remove_print_statements - Remove debug prints (risk: 0.3)
  • 🔴 fix_type_hints - Add type hints (risk: 0.4, placeholder)

File Operations & Safety

• Atomic File Writes - Safe file operations (temp file → rename)
• Automatic Backups - All changes backed up before applying
• Rollback System - Undo individual files or all at once
• Backup Index - Track all backups with timestamps
• Safety Levels - Control fix risk (safe/low/moderate/high)

CLI Enhancements

• New Command: refactron autofix - Automatic code fixing
• Safety Level Flags - --safety-level for risk control
• Preview Mode - See changes before applying
• Apply Mode - Apply fixes with automatic backup

Improved

• Test Coverage - 135 tests (was 98) → +37 auto-fix tests
• Overall Coverage - 81% (maintained high coverage)
• Production Status - Changed from Beta to Stable
• Documentation - Added comprehensive manual testing guide

Fixed

• All existing bugs from v0.1.0-beta
• Edge cases in fixer logic
• File operation safety

Technical Details

• Added refactron/autofix/ module
  • engine.py - Auto-fix engine (95% coverage)
  • fixers.py - 14 concrete fixers (88% coverage)
  • file_ops.py - File operations (87% coverage)
  • models.py - Data models (100% coverage)
• Added 37 comprehensive tests
• File backup stored in .refactron_backups/
• Backup index: .refactron_backups/index.json

---

[0.1.0-beta] - 2025-10-25

🎉 Initial Beta Release

First production-ready beta release of Refactron!

Recent Improvements (Pre-Release Polish)

• Fixed security analyzer false positives for package metadata (__author__, __version__, etc.)
• Improved CLI code quality by extracting helper functions
  • analyze() function simplified (reduced complexity)
  • refactor() function simplified (reduced complexity)
• Added 11 comprehensive tests for Extract Method refactorer
  • Coverage improved from 62% → 97%
• Increased overall test coverage from 89% → 90%
• Increased total tests from 87 → 98
• Eliminated all critical issues in production code (1 → 0)

Added

Core Features

• Plugin-based analyzer system for extensibility
• Refactoring suggestion engine with before/after previews
• Risk scoring system (0.0-1.0 scale) for safe refactoring
• Configuration management via YAML files
• Rich CLI interface with colors and progress indicators

Analyzers (8 Total)

• Complexity Analyzer - Cyclomatic complexity, maintainability index
• Code Smell Analyzer - Too many parameters, deep nesting, magic numbers
• Security Analyzer - eval/exec detection, hardcoded secrets, injection patterns
• Dependency Analyzer - Wildcard imports, unused imports, circular dependencies
• Dead Code Analyzer - Unused functions, unreachable code, empty functions
• Type Hint Analyzer - Missing type annotations, incomplete generics
• Extract Method Analyzer - Identify complex functions that should be split
• Base Analyzer - Abstract base for custom analyzers

Refactorers (6 Total)

• Magic Number Refactorer - Extract magic numbers to constants
• Reduce Parameters Refactorer - Convert parameter lists to config objects
• Simplify Conditionals Refactorer - Transform nested if statements to guard clauses
• Add Docstring Refactorer - Generate contextual docstrings
• Extract Method Refactorer - Suggest method extraction
• Base Refactorer - Abstract base for custom refactorers

CLI Commands

• refactron analyze - Analyze code for issues
• refactron refactor - Generate refactoring suggestions
• refactron report - Create detailed reports (text, JSON, HTML)
• refactron init - Initialize configuration file

Testing

• 87 tests with 89% coverage
• Unit tests for all analyzers
• Integration tests for CLI
• Real-world testing on 5,800 lines of code
• Edge case and error handling tests

Documentation

• Comprehensive README with quick start
• Architecture documentation
• Developer setup guide
• Real-world case study with metrics
• Usage examples (Flask, Data Science, CLI)
• Complete feature matrix

Examples

• Bad code examples for testing
• Flask API with security issues
• Data science workflow issues
• CLI tool best practices
• Refactoring demonstration
• Phase 2 analyzer showcase

Performance

• 4,300 lines per second analysis speed
• Low memory footprint
• Suitable for CI/CD integration
• Fast enough for pre-commit hooks (<2s typical)

Quality Metrics

• 89% test coverage
• 0 critical security issues in production code
• 51 issues per 1,000 lines (top 25% for Python projects)
• 100% accuracy on security vulnerability detection

---

[0.0.1] - 2025-10-23

Initial Development

• Project structure setup
• Basic AST parsing
• Initial analyzer prototypes
• CLI framework
• Early testing

---

Version History

Version	Date	Status	Highlights
0.1.0	2025-10-25	Beta	First production-ready release
0.0.1	2025-10-23	Alpha	Initial development

---

Categories

Added

New features and capabilities

Changed

Changes to existing functionality

Deprecated

Features that will be removed in future releases

Removed

Features that have been removed

Fixed

Bug fixes

Security

Security-related changes and fixes

---

Notes

• v0.1.0 is the first production-ready release
• Tested on 5,800 lines of real Python code
• Zero critical issues in production code
• Ready for CI/CD integration
• Suitable for team adoption

---

Links

• GitHub Repository
• Documentation
• Contributing Guide
• Issue Tracker

---

Keep this changelog up to date with every release!

Refactron v0.1.0-beta - Initial Release

Changelog

All notable changes to Refactron will be documented in this file.

The format is based on Keep a Changelog,
and this project adheres to Semantic Versioning.

[Unreleased]

Planned

• AI-powered pattern recognition
• Auto-fix capabilities
• VS Code extension
• PyCharm plugin
• Custom rule engine
• Performance profiling

---

[0.1.0-beta] - 2025-10-25

🎉 Initial Beta Release

First production-ready beta release of Refactron!

Recent Improvements (Pre-Release Polish)

• Fixed security analyzer false positives for package metadata (__author__, __version__, etc.)
• Improved CLI code quality by extracting helper functions
  • analyze() function simplified (reduced complexity)
  • refactor() function simplified (reduced complexity)
• Added 11 comprehensive tests for Extract Method refactorer
  • Coverage improved from 62% → 97%
• Increased overall test coverage from 89% → 90%
• Increased total tests from 87 → 98
• Eliminated all critical issues in production code (1 → 0)

Added

Core Features

• Plugin-based analyzer system for extensibility
• Refactoring suggestion engine with before/after previews
• Risk scoring system (0.0-1.0 scale) for safe refactoring
• Configuration management via YAML files
• Rich CLI interface with colors and progress indicators

Analyzers (8 Total)

• Complexity Analyzer - Cyclomatic complexity, maintainability index
• Code Smell Analyzer - Too many parameters, deep nesting, magic numbers
• Security Analyzer - eval/exec detection, hardcoded secrets, injection patterns
• Dependency Analyzer - Wildcard imports, unused imports, circular dependencies
• Dead Code Analyzer - Unused functions, unreachable code, empty functions
• Type Hint Analyzer - Missing type annotations, incomplete generics
• Extract Method Analyzer - Identify complex functions that should be split
• Base Analyzer - Abstract base for custom analyzers

Refactorers (6 Total)

• Magic Number Refactorer - Extract magic numbers to constants
• Reduce Parameters Refactorer - Convert parameter lists to config objects
• Simplify Conditionals Refactorer - Transform nested if statements to guard clauses
• Add Docstring Refactorer - Generate contextual docstrings
• Extract Method Refactorer - Suggest method extraction
• Base Refactorer - Abstract base for custom refactorers

CLI Commands

• refactron analyze - Analyze code for issues
• refactron refactor - Generate refactoring suggestions
• refactron report - Create detailed reports (text, JSON, HTML)
• refactron init - Initialize configuration file

Testing

• 87 tests with 89% coverage
• Unit tests for all analyzers
• Integration tests for CLI
• Real-world testing on 5,800 lines of code
• Edge case and error handling tests

Documentation

• Comprehensive README with quick start
• Architecture documentation
• Developer setup guide
• Real-world case study with metrics
• Usage examples (Flask, Data Science, CLI)
• Complete feature matrix

Examples

• Bad code examples for testing
• Flask API with security issues
• Data science workflow issues
• CLI tool best practices
• Refactoring demonstration
• Phase 2 analyzer showcase

Performance

• 4,300 lines per second analysis speed
• Low memory footprint
• Suitable for CI/CD integration
• Fast enough for pre-commit hooks (<2s typical)

Quality Metrics

• 89% test coverage
• 0 critical security issues in production code
• 51 issues per 1,000 lines (top 25% for Python projects)
• 100% accuracy on security vulnerability detection

---

[0.0.1] - 2025-10-23

Initial Development

• Project structure setup
• Basic AST parsing
• Initial analyzer prototypes
• CLI framework
• Early testing

---

Version History

Version	Date	Status	Highlights
0.1.0	2025-10-25	Beta	First production-ready release
0.0.1	2025-10-23	Alpha	Initial development

---

Categories

Added

New features and capabilities

Changed

Changes to existing functionality

Deprecated

Features that will be removed in future releases

Removed

Features that have been removed

Fixed

Bug fixes

Security

Security-related changes and fixes

---

Notes

• v0.1.0 is the first production-ready release
• Tested on 5,800 lines of real Python code
• Zero critical issues in production code
• Ready for CI/CD integration
• Suitable for team adoption

---

Links

• GitHub Repository
• Documentation
• Contributing Guide
• Issue Tracker

---

Keep this changelog up to date with every release!