Limo

Limo provides AI-powered analysis for application modernization and codebase understanding.

Overview

Limo analyzes existing codebases using AI models to generate comprehensive technical reports. The extension employs a multi-agent architecture where specialized AI components work autonomously to explore code structure, assess technology stacks, identify technical debt, and provide migration insights.

Analysis duration scales with codebase size - projects with 100k+ lines of code typically require 20-40 minutes. Very large monorepos may exceed practical processing time.

Analysis results are delivered as structured Markdown reports with architecture diagrams, dependency graphs, and prioritized recommendations.

A GitHub Copilot subscription is required.

Core Capabilities

Codebase Analysis - Examines application architecture, module dependencies, and data flow patterns to document system design and identify structural issues.

Technology Assessment - Catalogs frameworks, libraries, and tools in use. Evaluates version currency, EOL status, and migration complexity.

Code Quality Evaluation - Identifies technical debt, dead code, inconsistent patterns, and maintainability concerns across the codebase.

Security Review - Scans for common vulnerability patterns, insecure configurations, and outdated dependencies with known CVEs.

Migration Planning - Generates phased modernization strategies with effort estimates, risk assessments, and technology recommendations.

Key Features

• Multi-Agent Architecture - Specialized AI agents (Planner, Analyst, Writer, Editor) collaborate to produce comprehensive analysis
• 30+ Specialized Tools - File operations, code analysis, web search, report generation, and more
• 95%+ Tool Call Success Rate - Enhanced JSON parsing and automatic parameter type coercion ensure reliable AI-tool communication
• Session Persistence - Analysis sessions are saved and can be resumed or reviewed later
• Interactive Timeline - Real-time progress tracking in VS Code sidebar
• Professional Reports - Markdown reports with architecture diagrams and dependency graphs
• Multilingual Support - Generate reports in English, Chinese, Japanese, Spanish, French, or German

Supported Technologies

The analysis engine handles codebases in Java, C#, JavaScript, TypeScript, Python, PHP, Ruby, Go, C++, Rust, and other mainstream languages. Framework detection covers Spring, .NET, React, Angular, Vue, Django, Rails, Express, and similar platforms. Build systems, databases, and infrastructure tools are identified through configuration files and dependency manifests.