GitHub - kgthegreat/protagentic: Emacs plugin for kiro like functionality

17 min read Original article ↗

Protagentic

Structured Feature Planning for Emacs

Protagentic is an Emacs plugin that guides developers through systematic feature planning using a three-phase workflow: requirements gathering, design documentation, and implementation task generation. Transform rough ideas into actionable development plans without leaving your editor.

Story behind Protagentic How I made Protagentic - a Kiro like plugin for emacs

Features

  • 📝 Requirements Phase: Generate user stories and acceptance criteria in EARS format
  • 🏗️ Design Phase: Create technical architecture and component specifications
  • ✅ Tasks Phase: Generate hierarchical implementation checklists with requirement traceability
  • 🚀 Code Generation: Execute tasks to generate production-ready code with comprehensive tests
  • 🔍 Quality Validation: Built-in code quality analysis with industry-standard guidelines
  • 🤖 LLM Integration: OpenAI-powered content generation with intelligent context awareness
  • 🔄 Hybrid Generation: Choose between fast templates or high-quality LLM content with automatic fallback
  • 💰 Cost Management: Built-in usage tracking, cost estimation, and spending limits
  • 🔄 Interactive Refinement: Guided improvement workflows for each phase
  • 📊 Progress Tracking: Visual status indicators and contextual guidance
  • 🛠️ Emacs Integration: Seamless integration with markdown-mode, projectile, and completion frameworks

Quick Start

Installation

;; Add to your Emacs configuration
(add-to-list 'load-path "/path/to/protagentic")
(require 'protagentic)

;; Optional: Add convenient keybindings
(global-set-key (kbd "C-c d c") 'protagentic-create-spec)
(global-set-key (kbd "C-c d o") 'protagentic-open-spec)
(global-set-key (kbd "C-c d l") 'protagentic-list-specs)
(global-set-key (kbd "C-c d s") 'protagentic-show-status)
(global-set-key (kbd "C-c d d") 'protagentic-generate-design)
(global-set-key (kbd "C-c d t") 'protagentic-generate-tasks)
(global-set-key (kbd "C-c d e") 'protagentic-execute-next-task)
(global-set-key (kbd "C-c d a") 'protagentic-execute-all-tasks)
(global-set-key (kbd "C-c d q") 'protagentic-validate-code-quality)
(global-set-key (kbd "C-c d h") 'protagentic-help)

Basic Workflow

  1. Create a Spec: M-x protagentic-create-spec

    • Enter a feature name (e.g., "user-authentication")
    • Describe what the feature should do
    • Review and refine the generated requirements

  2. Generate Design: M-x protagentic-generate-design

    • Automatically creates technical architecture from requirements
    • Review and enhance components, data models, and error handling

  3. Generate Tasks: M-x protagentic-generate-tasks

    • Creates actionable implementation checklist
    • Tasks reference specific requirements for traceability

  4. Execute Tasks: M-x protagentic-execute-next-task or M-x protagentic-execute-all-tasks

    • Generates production-ready code from task specifications
    • Creates implementation files with comprehensive test suites
    • Validates code quality against industry standards

Example Session

M-x protagentic-create-spec RET
Spec name: user-authentication RET
Describe the 'user-authentication' feature: A secure login system with registration and password reset RET

M-x protagentic-generate-design RET
M-x protagentic-generate-tasks RET
M-x protagentic-execute-all-tasks RET

This creates a complete feature implementation in .protagentic/specs/user-authentication/ with:

  • requirements.md - User stories and acceptance criteria
  • design.md - Technical architecture and components
  • tasks.md - Implementation checklist
  • Generated source files with production-ready code
  • Comprehensive test suites with edge case coverage
  • Quality validation reports

Commands

Core Workflow

  • protagentic-create-spec - Create new spec with requirements
  • protagentic-generate-design - Generate design from requirements
  • protagentic-generate-tasks - Generate tasks from design
  • protagentic-execute-next-task - Execute the next pending task
  • protagentic-execute-all-tasks - Execute all remaining tasks
  • protagentic-validate-code-quality - Validate generated code quality

Navigation

  • protagentic-open-requirements - Open requirements document
  • protagentic-open-design - Open design document
  • protagentic-open-tasks - Open tasks document
  • protagentic-show-status - Display spec progress and guidance

Management

  • protagentic-list-specs - List all specs with status
  • protagentic-delete-spec - Delete spec and all files
  • protagentic-refine-requirements - Interactive requirements improvement
  • protagentic-refine-design - Interactive design enhancement

Code Generation

  • protagentic-execute-next-task - Execute the next pending task
  • protagentic-execute-all-tasks - Execute all remaining tasks
  • protagentic-show-task-status - Display task progress and completion status
  • protagentic-validate-code-quality - Validate generated code against quality standards
  • protagentic-set-quality-standard - Configure code quality guidelines
  • protagentic-regenerate-task-code - Regenerate code for a specific task

LLM Integration

  • protagentic-setup-llm - Configure OpenAI API integration
  • protagentic-show-config - Display current configuration and usage stats
  • protagentic-set-generation-mode - Set default generation mode (template/LLM/hybrid)
  • protagentic-validate-api-key - Test API connectivity
  • protagentic-help - Show command overview and keybinding suggestions
  • protagentic-regenerate-requirements - Regenerate with mode selection
  • protagentic-regenerate-design - Regenerate design with mode selection
  • protagentic-regenerate-tasks - Regenerate tasks with mode selection

Key Bindings (in spec files)

  • C-c C-n - Next phase in workflow
  • C-c C-s - Show status
  • C-c C-r - Refine requirements
  • C-c C-d - Refine design
  • C-c C-e - Execute next task
  • C-c C-a - Execute all tasks
  • C-c C-q - Validate code quality

Configuration

Basic Settings

;; Customize spec directory location
(setq protagentic-spec-directory ".specs")

;; Disable auto-opening of generated files
(setq protagentic-auto-open-generated-files nil)

;; Use minimal templates instead of comprehensive ones
(setq protagentic-template-style 'minimal)

;; Set quality threshold for document validation
(setq protagentic-quality-threshold 80)

Integration Settings

;; Preferred project management tools (in order)
(setq protagentic-preferred-project-tools '(projectile project fallback))

;; Completion framework preference
(setq protagentic-completion-style 'ivy)  ; or 'helm, 'ido, 'default

;; File naming convention
(setq protagentic-file-naming-convention 'snake_case)  ; or 'camelCase, 'kebab-case

Workflow Behavior

;; Disable interactive refinement (use manual editing)
(setq protagentic-use-interactive-refinement nil)

;; Disable workflow guidance messages
(setq protagentic-show-workflow-guidance nil)

;; Disable automatic backups before refinement
(setq protagentic-backup-before-refinement nil)

LLM Integration Setup

Quick Setup

;; Run the interactive setup wizard
M-x protagentic-setup-llm

Manual Configuration

;; Set default generation mode
(setq protagentic-config-default-generation-mode 'hybrid)  ; 'template, 'llm, or 'hybrid

;; Configure LLM settings
(setq protagentic-config-llm-model "gpt-4")               ; or "gpt-3.5-turbo"
(setq protagentic-config-llm-max-tokens 4000)
(setq protagentic-config-llm-temperature 0.7)

;; Cost management
(setq protagentic-config-monthly-cost-limit 50.0)         ; USD limit
(setq protagentic-config-cost-warning-threshold 0.8)      ; Warn at 80%
(setq protagentic-config-enable-usage-tracking t)

;; Prompt behavior
(setq protagentic-config-prompt-for-mode t)               ; Ask for mode each time

API Key Setup

;; Option 1: Environment variable (recommended)
export OPENAI_API_KEY="sk-your-api-key-here"

;; Option 2: Interactive setup (stores securely)
M-x protagentic-setup-llm

;; Option 3: Manual secure storage
M-x protagentic-config-set-api-key

Document Structure

Requirements Document

# Requirements Document

## Introduction
[Feature description and context]

## Requirements

### Requirement 1
**User Story:** As a [role], I want [feature], so that [benefit]

#### Acceptance Criteria
1. WHEN [event] THEN system SHALL [response]
2. IF [condition] THEN system SHALL [behavior]

Design Document

# Design Document

## Overview
[System overview and approach]

## Architecture
[System architecture and technology stack]

## Components and Interfaces
[Component breakdown and responsibilities]

## Data Models
[Data structures and relationships]

## Error Handling
[Error scenarios and handling strategies]

## Testing Strategy
[Testing approach and coverage]

Tasks Document

# Implementation Plan

- [ ] 1. Set up project structure
  - Create directory structure and dependencies
  - _Requirements: 1.1-1.3_

- [ ] 2. Implement core data models
  - [ ] 2.1 Create User model with validation
    - Write User class with validation methods
    - _Requirements: 2.1, 2.2_

Examples

E-commerce Product Catalog

Requirements Phase:

### Requirement 1
**User Story:** As a customer, I want to browse products by category, so that I can find items I'm interested in

#### Acceptance Criteria
1. WHEN customer selects a category THEN system SHALL display all products in that category
2. WHEN category has no products THEN system SHALL display "No products found" message
3. WHEN customer applies filters THEN system SHALL update results in real-time

Design Phase:

#### Product Catalog Component
Manages product display, filtering, and search functionality

**Key Responsibilities:**
- Product listing and pagination
- Category-based filtering
- Search query processing
- Sort order management

**Interfaces:**
- ProductService for data retrieval
- FilterService for search criteria
- UIComponent for display rendering

Tasks Phase:

- [ ] 1. Implement Product data model
  - Create Product class with validation
  - Add category relationships and indexing
  - Write unit tests for Product operations
  - _Requirements: 1.1, 1.2_

- [ ] 2. Build ProductCatalog component
  - [ ] 2.1 Create product listing functionality
    - Implement pagination and sorting
    - Add category filtering logic
    - _Requirements: 1.1, 1.3_

API Rate Limiting System

Requirements Phase:

### Requirement 1
**User Story:** As an API provider, I want to limit request rates per user, so that I can prevent abuse and ensure fair usage

#### Acceptance Criteria
1. WHEN user exceeds rate limit THEN system SHALL return 429 status code
2. WHEN user is within limits THEN system SHALL process request normally
3. WHEN rate limit resets THEN system SHALL allow new requests

Generated Tasks:

- [ ] 1. Implement rate limiting middleware
  - Create RateLimiter class with configurable limits
  - Add Redis integration for distributed rate limiting
  - Write comprehensive unit tests
  - _Requirements: 1.1-1.3_

- [ ] 2. Add rate limit headers to responses
  - Include X-RateLimit-Remaining header
  - Add X-RateLimit-Reset timestamp
  - _Requirements: 1.2_

LLM-Powered Generation

Generation Modes

Template Mode (Fast, Offline)

  • Uses built-in templates with pattern matching
  • Works offline, no API costs
  • Consistent structure, basic content

LLM Mode (High Quality)

  • Uses OpenAI API for intelligent content generation
  • Context-aware prompts based on your project
  • Higher quality, more comprehensive content
  • Requires API key and internet connection

Hybrid Mode (Recommended)

  • Attempts LLM generation first
  • Automatically falls back to templates if LLM fails
  • Best of both worlds with reliability

Usage Examples

Basic LLM Generation

M-x protagentic-create-spec RET
Spec name: payment-processing RET
Generation mode: llm RET
Describe the feature: Secure payment processing with multiple payment methods and fraud detection RET

The LLM will generate comprehensive requirements including:

  • Multiple user stories for different payment scenarios
  • Detailed acceptance criteria with edge cases
  • Security and compliance considerations
  • Error handling requirements

Context-Aware Generation

Protagentic analyzes your project to provide better prompts:

;; In a Python project with these files:
;; - app.py, requirements.txt, models.py
;; 
;; LLM prompts will include:
;; - "Detected Python project with Flask/Django patterns"
;; - "Consider existing models.py structure"
;; - "Follow Python naming conventions"

Cost Management

;; Check usage and costs
M-x protagentic-show-config

;; Output:
;; Current Usage:
;;   This Month: $12.50 (2,500 tokens)
;;   Today: $2.30 (460 tokens)
;;   Total Requests: 15
;;
;; Cost Management:
;;   Monthly Limit: $50.00
;;   Warning Threshold: 80%

LLM Prompt Customization

Built-in Context Enhancement

Protagentic automatically enhances prompts with:

  • Project Analysis: Detects technology stack from files
  • Complexity Assessment: Adjusts suggestions based on project size
  • Existing Context: Uses previous requirements/design for consistency

Custom Prompt Templates

;; Enable custom prompts
(setq protagentic-prompts-use-custom-templates t)

;; Create custom prompt (advanced)
(defun my-custom-requirements-prompt (context)
  "Custom requirements prompt with company-specific guidelines."
  (format "Generate requirements following our company standards...
Project context: %s
Technology stack: %s"
          (protagentic-generation-context-feature-description context)
          (protagentic-prompts--infer-technology-stack 
           (protagentic-generation-context-project-files context))))

Quality and Validation

Automatic Content Improvement

LLM responses are automatically:

  • Formatted: Fixed heading hierarchy, consistent structure
  • Enhanced: EARS format for acceptance criteria, proper user story format
  • Validated: Checked against document requirements
  • Repaired: Common formatting issues automatically corrected

Example Improvements

Raw LLM Output:

Here's your requirements document:
```markdown
### Requirements Document
user story: as a user i want login
acceptance criteria:
when user clicks login then system should validate

After Processing:

# Requirements Document

## Introduction
[Generated introduction]

## Requirements

### Requirement 1
**User Story:** As a user, I want to log in, so that I can access my account

#### Acceptance Criteria
1. WHEN user clicks login THEN system SHALL validate credentials
2. IF credentials are invalid THEN system SHALL display error message

Code Generation and Quality

Task Execution Engine

Protagentic now includes a powerful task execution engine that transforms your implementation tasks into production-ready code. The system generates complete, tested, and validated implementations following industry best practices.

Execution Commands

Execute Single Task

M-x protagentic-execute-next-task

Executes the next pending task in your task list, generating all necessary files for that specific functionality.

Execute All Tasks

M-x protagentic-execute-all-tasks

Executes all remaining tasks in sequence, creating a complete feature implementation.

Check Task Status

M-x protagentic-show-task-status

Shows progress through your task list with completion indicators.

What Gets Generated

For each task, the system creates:

  • Implementation Files: Core functionality with proper error handling
  • Test Files: Comprehensive test suites with edge cases
  • Documentation: Inline code documentation and usage examples
  • Quality Reports: Validation results and improvement suggestions

Example Generated Code

Task: "Implement user authentication service"

Generated Files:

src/
├── auth/
│   ├── AuthService.js          # Main authentication logic
│   ├── UserValidator.js        # Input validation utilities
│   └── AuthError.js           # Custom error classes
test/
├── auth/
│   ├── AuthService.test.js     # Comprehensive test suite
│   ├── UserValidator.test.js   # Validation tests
│   └── AuthError.test.js      # Error handling tests

Sample Implementation:

// src/auth/AuthService.js
class AuthService {
  constructor(config) {
    this.validateConfig(config);
    this.config = config;
  }

  async authenticate(credentials) {
    try {
      this.validateCredentials(credentials);
      const user = await this.verifyUser(credentials);
      return this.generateToken(user);
    } catch (error) {
      this.logError('Authentication failed', error);
      throw new AuthenticationError(error.message);
    }
  }

  validateCredentials(credentials) {
    if (!credentials?.username || !credentials?.password) {
      throw new ValidationError('Username and password required');
    }
  }
}

Code Quality Framework

Quality Standards

Protagentic enforces multiple quality standards:

Clean Code (Default)

  • Intention-revealing names, no abbreviations
  • Functions max 30 lines, single responsibility
  • Minimal nesting (max 3 levels), early returns
  • Self-documenting code with minimal comments

Google Style Guide

  • 80-100 character lines, consistent indentation
  • Comprehensive API documentation
  • Language-specific Google conventions

Airbnb Style (JavaScript)

  • camelCase variables, PascalCase classes
  • Arrow functions, const over let, semicolons
  • Destructuring, single quotes

Quality Validation

Every generated file is automatically validated for:

  1. Function Quality

    • Length limits (max 30 lines)
    • Parameter count (language-specific)
    • Naming conventions
    • Single responsibility

  2. Code Complexity

    • Cyclomatic complexity (max 10)
    • Nesting depth (max 3 levels)
    • Decision point counting

  3. Security

    • SQL injection prevention
    • XSS vulnerability checks
    • Hardcoded credential detection
    • Path traversal protection

  4. Documentation

    • Function documentation requirements
    • Complex algorithm explanations
    • API usage examples

  5. Testing

    • Test file generation for all implementations
    • Edge case coverage
    • Error condition testing
    • Minimum 90% coverage target

Quality Configuration

;; Set code quality standard
(setq protagentic-code-quality-standard "clean-code") ; or "google", "airbnb"

;; Configure quality enforcement
(setq protagentic-enforce-test-coverage t)
(setq protagentic-min-test-coverage 90)
(setq protagentic-auto-validate-quality t)
(setq protagentic-max-function-lines 30)

Quality Reports

After code generation, you'll see quality reports like:

Quality Validation Results for UserService.js
============================================

✅ Function Quality: PASSED
   - All functions under 30 lines
   - Proper naming conventions
   - Single responsibility maintained

⚠️  Code Complexity: WARNING
   - Function 'processUserData' complexity: 8/10
   - Consider breaking down complex logic

✅ Security: PASSED
   - No hardcoded credentials
   - Input validation present
   - XSS protection implemented

✅ Documentation: PASSED
   - All public methods documented
   - Usage examples provided

Overall Score: 92/100

Language Support

Supported Languages

  • JavaScript/TypeScript: Full support with Jest testing
  • Python: Full support with pytest testing
  • Java: Full support with JUnit testing
  • Emacs Lisp: Full support with ERT testing

Language-Specific Features

JavaScript

(setq protagentic-js-test-framework "jest")     ; or "mocha", "jasmine"
(setq protagentic-js-style-guide "airbnb")     ; or "google", "standard"
(setq protagentic-js-use-typescript t)         ; Generate TypeScript

Python

(setq protagentic-python-test-framework "pytest")  ; or "unittest"
(setq protagentic-python-style-guide "pep8")       ; or "google"
(setq protagentic-python-type-hints t)             ; Add type hints

Java

(setq protagentic-java-test-framework "junit5")    ; or "junit4", "testng"
(setq protagentic-java-style-guide "google")       ; or "oracle"
(setq protagentic-java-use-lombok t)               ; Use Lombok annotations

Integration with Development Tools

Build System Integration

Protagentic can integrate with your existing build systems:

;; Enable build system integration
(setq protagentic-auto-update-build-files t)

;; Supported build systems
(setq protagentic-build-system 'npm)  ; 'maven, 'gradle, 'make

IDE Integration

Generated code works seamlessly with:

  • VS Code: Automatic workspace configuration
  • IntelliJ: Project structure recognition
  • Emacs: Native integration with development modes

CI/CD Integration

Generated projects include:

  • GitHub Actions: Automated testing workflows
  • GitLab CI: Pipeline configurations
  • Jenkins: Jenkinsfile templates

Best Practices for Code Generation

1. Iterative Development

  • Execute one task at a time for complex features
  • Review and refine generated code before proceeding
  • Use quality validation to catch issues early

2. Quality First

  • Always run quality validation after generation
  • Address errors before warnings
  • Aim for 95+ quality scores

3. Test-Driven Approach

  • Generated tests serve as specifications
  • Run tests immediately after generation
  • Add additional edge cases as needed

4. Security Mindset

  • Review security warnings carefully
  • Validate all input handling
  • Check authentication and authorization logic

5. Maintainability Focus

  • Keep functions small and focused
  • Use descriptive names throughout
  • Document complex business logic

Troubleshooting Code Generation

Common Issues

Task Execution Fails

Error: Task validation failed: Missing error handling

Solution: The LLM generated code without proper error handling. The system will retry with enhanced prompts.

Quality Validation Errors

Error: Function 'processData' is too long (45 lines, max 30)

Solution: The generated function needs refactoring. Re-run the task with more specific requirements.

Missing Test Coverage

Warning: Missing test file for: user-service.js

Solution: Ensure test generation is enabled. Re-execute the task to generate missing tests.

Performance Tips

  1. Use Hybrid Mode: Combines LLM quality with template reliability
  2. Batch Execution: Use execute-all-tasks for complete features
  3. Quality Caching: Validation results are cached for faster re-runs

Advanced Usage

Custom Templates

Create custom templates by setting protagentic-template-style to 'custom and defining template functions:

(setq protagentic-template-style 'custom)

(defun my-custom-requirements-template (feature-description)
  "Custom requirements template."
  (format "# Custom Requirements\n\n%s\n\n## User Stories\n..." feature-description))

Workflow Hooks

Add custom functions to run at workflow milestones:

(add-hook 'protagentic-hook-functions 
          (lambda (spec phase)
            (message "Completed %s phase for %s" phase (protagentic-spec-name spec))))

Integration with External Tools

;; Enable external tool integration
(setq protagentic-external-tools-integration t)

;; This enables:
;; - Automatic .gitignore updates
;; - Integration with issue trackers (if configured)
;; - Documentation generator hooks

Troubleshooting

Common Issues

"Not in a project directory" error:

  • Ensure you're in a directory with .git, package.json, or other project indicators
  • Install projectile: M-x package-install RET projectile RET
  • Create a project marker: touch README.md or git init

"Permission denied" errors:

  • Check file permissions in your project directory
  • Ensure .protagentic directory is writable
  • On Windows, run Emacs as administrator if needed

Templates not generating correctly:

  • Check protagentic-template-style setting
  • Verify all required modules are loaded
  • Try M-x protagentic-show-status for diagnostic information

LLM Integration Issues

"No API key configured" error:

;; Check API key setup
M-x protagentic-validate-api-key

;; If not configured, run setup
M-x protagentic-setup-llm

;; Or set environment variable
export OPENAI_API_KEY="sk-your-key-here"

"API validation failed" error:

  • Verify API key is correct and active
  • Check internet connection
  • Ensure you have OpenAI API credits
  • Try a different model: (setq protagentic-config-llm-model "gpt-3.5-turbo")

"LLM generation failed" with automatic fallback:

  • This is normal behavior - templates are used as backup
  • Check M-x protagentic-show-config for error details
  • Verify monthly cost limits haven't been exceeded

High API costs:

;; Check current usage
M-x protagentic-show-config

;; Adjust cost limits
(setq protagentic-config-monthly-cost-limit 25.0)  ; Lower limit

;; Use more efficient model
(setq protagentic-config-llm-model "gpt-3.5-turbo")

;; Reduce token usage
(setq protagentic-config-llm-max-tokens 2000)

;; Switch to hybrid mode for automatic cost control
(setq protagentic-config-default-generation-mode 'hybrid)

Poor LLM output quality:

;; Increase creativity
(setq protagentic-config-llm-temperature 0.8)

;; Use more powerful model
(setq protagentic-config-llm-model "gpt-4")

;; Increase token limit for longer responses
(setq protagentic-config-llm-max-tokens 6000)

;; Regenerate with different mode
M-x protagentic-regenerate-requirements

Code generation issues:

;; Check if LLM is properly configured
M-x protagentic-validate-api-key

;; Verify task prerequisites
M-x protagentic-show-task-status

;; Re-execute failed task
M-x protagentic-execute-next-task

;; Check quality validation results
M-x protagentic-validate-code-quality

Quality validation failures:

;; Adjust quality standards
(setq protagentic-code-quality-standard "google")  ; Less strict than clean-code

;; Increase function length limits
(setq protagentic-max-function-lines 50)

;; Disable specific quality checks
(setq protagentic-enforce-test-coverage nil)

Getting Help

Status and Diagnostics:

M-x protagentic-show-status        ; Show current spec status
M-x protagentic-list-specs         ; List all specs in project

Debug Information:

;; Enable debug messages
(setq debug-on-error t)

;; Check loaded modules
(featurep 'protagentic)
(featurep 'protagentic-core)

Testing

Run the test suite to verify installation:

;; Load test files
(load-file "test/protagentic-test.el")
(load-file "test/protagentic-integration-test.el")

;; Run all tests
M-x protagentic-run-all-tests

;; Run specific test categories
M-x protagentic-run-tests              ; Unit tests only
M-x protagentic-run-integration-tests  ; Integration tests only

Contributing

Development Setup

  1. Clone the repository
  2. Add to Emacs load path
  3. Run tests to verify setup
  4. Make changes and add tests
  5. Ensure all tests pass

Code Style

  • Follow standard Emacs Lisp conventions
  • Use lexical-binding: t in all files
  • Add comprehensive docstrings
  • Include error handling for user-facing functions
  • Write tests for new functionality

License

GPL-3.0 License. See LICENSE file for details.

Changelog

Version 0.2.0 (Code Generation Release)

  • NEW: Task execution engine for automated code generation
  • NEW: Code quality validation with industry-standard guidelines
  • NEW: Multi-language support (JavaScript, Python, Java, Emacs Lisp)
  • NEW: Comprehensive test suite generation with edge cases
  • NEW: Security vulnerability detection and prevention
  • NEW: Integration with build systems and development tools
  • NEW: Quality scoring and improvement suggestions
  • Enhanced LLM prompts for better code generation
  • Improved error handling and user feedback
  • Performance optimizations for large codebases

Version 0.1.0 (Initial Release)

  • Core three-phase workflow (requirements → design → tasks)
  • Interactive refinement capabilities
  • Comprehensive error handling and user guidance
  • Integration with markdown-mode, projectile, and completion frameworks
  • Extensive test suite with unit and integration tests
  • Customizable templates and workflow behavior