gmickel / CodeWhisper

CodeWhisper: AI-Powered End-to-End Task Implementation & blazingly fast Codebase-to-LLM Context Bridge
https://discord.com/invite/82mjJkwABQ
MIT License
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feat(ai): Implement AI-assisted code generation capabilities #24

Closed gmickel closed 3 months ago

gmickel commented 3 months ago

feat(ai): Implement AI-assisted code generation capabilities

BREAKING CHANGE: This PR introduces a major new feature set that significantly expands CodeWhisper's capabilities, transforming it from a documentation-focused tool to a powerful AI-driven coding assistant. Due to the extensive changes and new dependencies, this update requires a major version bump.

AI-Assisted Code Generation in CodeWhisper

This PR introduces advanced AI-assisted code generation capabilities to CodeWhisper, marking a significant evolution in its functionality. The new features enable users to leverage AI for task planning, code generation, and implementation, all seamlessly integrated with CodeWhisper's existing strengths in documentation and file handling.

Key Features

  1. AI-Driven Task Workflow:

    • New task command in CLI for initiating AI-assisted coding tasks
    • Interactive task description input using a multi-line editor
    • AI-generated implementation plans with user review and editing capabilities
    • AI-powered code generation based on approved plans
  2. Enhanced File Handling:

    • Utilization of CodeWhisper's existing file selection mechanism for providing context to AI
    • Improved file processing with support for various file types and comment handling
  3. Git Integration:

    • Automatic creation of new git branches for AI-generated changes
    • Smart branch naming to avoid conflicts
    • Option to automatically commit changes or review before committing
  4. AI Model Flexibility:

    • Support for multiple AI models, including various Claude and GPT (nyi) models
    • Configurable model selection for different tasks
  5. Cost Management:

    • Token usage estimation and cost calculation for AI operations
    • Customizable cost thresholds to prevent unexpected expenses
  6. Dry Run Capability:

    • Option to preview AI-generated changes without applying them to the codebase
    • Option to apply the previewed changes generated by a dry run
  7. Enhanced Logging and Error Handling:

    • Comprehensive logging system using Winston for better debugging and monitoring
    • Improved error handling throughout the AI-assisted workflow

Technical Enhancements

User Experience Improvements

Breaking Changes

Migration Guide

Users upgrading to this version should:

  1. Review the updated documentation for new AI-assisted features
  2. Ensure all new dependencies are properly installed
  3. Update any scripts or workflows that rely on CodeWhisper's CLI to accommodate the new task command
  4. Be aware of potential changes in file processing behavior and test existing workflows

Future Work

This major update positions CodeWhisper as a versatile tool for both documentation and AI-assisted code development, significantly expanding its utility for developers and teams.

github-actions[bot] commented 3 months ago

:tada: This issue has been resolved in version 1.3.0 :tada:

The release is available on:

Your semantic-release bot :package::rocket: