EveryInc/compound-engineering-plugin

Features

• AI Workflow Management - Manages structured cycles of ideation, planning, and review to iteratively improve project code quality.
• Autonomous Repository Managers - Provides an automated system for executing end-to-end software engineering workflows and managing pull requests via AI agents.
• Worktree Isolation - Uses version control worktrees to isolate code changes during autonomous implementation cycles.
• AI Code Reviewers - Uses specialized AI agents to perform parallel security and architectural audits on code.
• Autonomous AI Workflows - Executes end-to-end development cycles from planning to pull request without manual intervention.
• Autonomous Software Engineering - Automates the full software development lifecycle from initial product ideation to the final pull request.
• Multi-Agent Synthesis Systems - Executes specialized agents in parallel to analyze codebases and aggregate prioritized architectural and security findings.
• Code Refinement Loops - Chains planning, implementation, and review into a recurring cycle that refines output based on automated linting.
• Implementation Planning - Researches codebase patterns and industry standards to create detailed technical blueprints of affected files.
• Technical Blueprinting - Generates technical file lists and implementation plans by iteratively refining user constraints.
• Technical Blueprinting Tools - Ships a research-driven tool that analyzes codebases to create detailed blueprints for implementing new features.
• Agentic Code Reviews - Employs specialized parallel AI agents to perform security and architectural audits and generate prioritized findings.
• Plugin Converters - Transforms plugins and system instructions between different AI coding assistants and IDEs.
• Prompt Instruction Pruning - Analyzes system prompt files to identify and archive obsolete patterns based on staleness criteria.
• AI Assistant Configuration Sync - Copies personal skills, commands, and server settings from a source tool to multiple target AI assistants.
• Feature Ideation Tools - Evaluates repositories and user pain points to produce a scored shortlist of potential feature candidates.
• Configuration Synchronizers - Copies personal skills, commands, and server settings across multiple AI development tools.
• AI Assistant Migration Tools - Moves custom plugins and configuration settings between different AI coding tools to maintain environment consistency.
• Instruction Maintenance - Cleans and updates system guidance files by archiving obsolete patterns and extracting engineering insights.
• Intermediate Representations - Implements a unified intermediate representation to enable bidirectional conversion of plugin definitions between AI assistants.
• Engineering Pattern Libraries - Saves solved engineering problems as tagged reusable artifacts to inform future implementation planning.
• Plugin Format Adapters - Provides a system to translate AI coding assistant plugins between different IDEs and tool formats.
• Problem Pattern Mappings - Extracts reusable engineering insights from solved problems and saves them as tagged patterns for future reference.
• Requirement Elicitation Processes - Implements an iterative questioning process to clarify user needs and constraints for feature definition.
• Agentic Development Frameworks - Plugin architecture for building compound AI systems.
• More to explore - Provides plugins for various AI coding environments.

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