By dean0x
Explore codebases with parallel agents that trace flows, map dependencies, and analyze patterns, synthesizing findings with file:line references and optionally creating feature knowledge bases.
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Process and fix code review issues with risk assessment - decides FIX vs TECH_DEBT based on impact
Debugging workflows with competing hypothesis investigation via parallel subagents
Self-review workflow: Simplifier + Scrutinizer for code quality
Multi-type research with parallel researchers and trust-aware synthesis
Proactive bug finding with static and semantic analysis
npx claudepluginhub dean0x/devflow --plugin devflow-exploreCodebase exploration, refactoring, and quality analysis
AI-powered codebase understanding assistant. Learn design patterns, analyze impact, trace code flows, and understand any codebase through information theory principles. Includes 6 Agent Skills for automatic analysis triggering.
Smart codebase exploration with dependency mapping and structure analysis
Multi-type research with parallel researchers and trust-aware synthesis
Codebase intelligence for Claude Code. Indexes your codebase into five layers (Graph, Git, Docs, Decisions, Code Health) and exposes them through nine task-shaped MCP tools — so Claude understands architecture, ownership, hotspots, why code is built the way it is, and where the defect risk lives.
CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and get synthesized answers to architectural questions. Includes a lightweight code exploration subagent, authentication hooks, and multiple search modes (fast lexical, semantic, and deep cross-cutting). Works standalone or alongside the CodeAlive MCP server for direct tool access via the Model Context Protocol.