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By JeremyDev87
Automate systematic TDD development via PLAN-ACT-EVAL workflow with specialist AI agents. Generate detailed implementation plans, execute red-green-refactor cycles, evaluate code for SOLID principles, test coverage, security and performance, then auto-iterate in AUTO mode until zero critical issues. Monitor project status, generate contextual checklists, and trigger automation hooks.
npx claudepluginhub jeremydev87/codingbuddy --plugin codingbuddyExecute the implementation plan with TDD
Autonomous PLAN → ACT → EVAL cycle until quality achieved
Show project status, recommended agents, and next actions — your coding buddy at a glance
Generate contextual checklists based on file patterns and domains for comprehensive code review.
Evaluate code quality and suggest improvements
Matches all tools
Hooks run on every tool call, not just specific ones
Executes bash commands
Hook triggers when Bash tool is used
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
SDLC enforcement for AI agents — TDD, planning, self-review, CI shepherd
Persona-driven AI development team: orchestrator, team agents, review agents, skills, slash commands, and advisory hooks for Claude Code
SPEC-First development workflow with TDD, Ralph Loop, and autonomous agent coordination for Claude Code
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, and rules evolved over 10+ months of intensive daily use
Process discipline for AI coding agents — TDD enforcement and policies.
Development practices: TDD workflow with red-green-refactor
English | 한국어 | 中文 | 日本語 | Español
Prove your AI coding is actually improving.
Codingbuddy is a multi-AI MCP server that orchestrates 37 specialist agents across 9 AI tools — and measures the impact on your code quality with every session.
At the end of every session, codingbuddy shows you what actually happened:
┌─────────────────────────────────────────────────┐
│ Session Impact Report │
├─────────────────────────────────────────────────┤
│ │
│ Issues prevented 12 │
│ Security 4 (2 critical) │
│ Accessibility 3 │
│ Performance 2 │
│ Code Quality 3 │
│ │
│ Agents dispatched 8 │
│ Checklists generated 5 │
│ Mode transitions PLAN → ACT → EVAL │
│ Context decisions 14 │
│ │
└─────────────────────────────────────────────────┘
Most AI rules tools tell you to "code better." Codingbuddy proves you did.
# 1. Install
npm install -g codingbuddy
# 2. Initialize your project
npx codingbuddy init
# 3. Add to your AI tool's MCP config
{
"mcpServers": {
"codingbuddy": {
"command": "npx",
"args": ["codingbuddy", "mcp"]
}
}
}
Start coding with PLAN, ACT, EVAL, or AUTO keywords.
Claude Code users: Install as a plugin for the full experience:
# 1. Add marketplace claude marketplace add JeremyDev87/codingbuddy # 2. Install plugin claude plugin install codingbuddy@jeremydev87The plugin adds session-aware hooks that power Impact Reports, buddy greetings, onboarding tours, achievement badges, and adaptive performance mode. Update to the latest version with
claude plugin install codingbuddy@jeremydev87.See the Plugin Guide for details.
Measurable results, not promises. Session Impact Reports show issues prevented, agents dispatched, and quality improvements — backed by data from every tool call.
37 specialists, not one generalist. Security engineers, accessibility experts, performance specialists, architects — each with domain expertise that a single AI cannot match.
One ruleset, 9 AI tools. Same quality standards whether you use Cursor, Claude Code, GitHub Copilot, or any other supported tool. Switch tools without losing consistency.
Quality gates that ship. The PLAN → ACT → EVAL cycle iterates until Critical=0 and High=0. Production-ready code, not "good enough" code.
PR Guardian — pr_quality_report MCP tool runs specialist agents on changed files, integrated with /ship quality gate for automated PR quality checks.
Context Rescue — create_briefing and resume_session tools enable cross-session recovery, preserving decisions and context across conversation boundaries.
Session Intelligence — SessionAnalyzer generates Intelligence Reports in the stop hook, providing actionable insights from every coding session.
Rule Impact Dashboard — Event tracking, stats writer, and impact reporting measure which rules actually prevent issues — proving your AI coding is improving.
Plugin Marketplace — Full plugin lifecycle with install, search, update, plugins, and uninstall CLI commands, plus registry resolver for discovering community plugins.
Skill Discovery — Filesystem-based list_skills with triggers frontmatter in SKILL.md for automatic skill activation based on context.
TUI — Single multi-session model with manual codingbuddy tui launch. Auto-open removed for cleaner MCP server startup.