Codingbuddy

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Codingbuddy

  

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.

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What's New in v5.6.0 — HUD Statusbar Wave

• Breathing Buddy Face — the buddy face reacts to your session phase (idle / thinking / active / blocked / victory) so the status bar feels alive.
• Cost Velocity Indicator — session spend-rate badge with 🔥 / ↗ / → / 💤 trend glyphs tells you whether you're on a slow planning pass or a hot refactor burn.
• Cache Savings Badge — quantifies prompt-cache discounts as 💰$N.NN saved so you see the value of caching in real time.
• Mode Rainbow Coloring — per-mode ANSI truecolor gradients (PLAN ◇ / ACT ◆ / EVAL ◈ / AUTO ◊) with NO_COLOR env support for CI and greyscale terminals.
• Smart Context Bar — visual [████░░░░░░] 42% progress bar replaces plain Ctx:42% text with warning and danger thresholds.
• Adaptive Layout Engine — HUD fits narrow terminals gracefully with fit_segments adaptive truncation.
• Rate-limit Severity Icons — visual warnings when you approach API rate limits.

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Session Impact Report

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.

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Quick Start

# 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: ``bash # 1. Add marketplace claude marketplace add JeremyDev87/codingbuddy # 2. Install plugin claude plugin install codingbuddy@jeremydev87 ` The 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.

Full Getting Started Guide →

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Why Codingbuddy?

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.

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What's New in v5.4.0

Question-First Planning — Codingbuddy now asks before it plans. Ambiguous prompts trigger a clarifying question, and clear prompts walk through Discover→Design→Plan stages with explicit user confirmation at each step.

Council Scene — PLAN, EVAL, and AUTO modes open with a visible council scene showing which specialist agents are assembled and ready to collaborate.

Permission Forecast — Before execution, codingbuddy surfaces what permission classes (repo-write, network, external) will be needed, so you can prepare approval bundles in advance.

Execution Gate — When the planning stage hasn't advanced past discovery, specialist dispatch is suppressed to avoid premature work.

Council State Pipeline — Real-time council badges show agent handoffs, stage transitions, and blockers as they happen during tool execution.

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Supported AI Tools

| Tool | Integration | Setup | |------|-------------|-------| | Claude Code | MCP Server + Plugin | Guide | | Cursor | MCP Server | Guide | | GitHub Copilot / Codex | MCP Server | Guide | | Antigravity (Gemini) | MCP Server | Guide | | Amazon Q | MCP Server | Guide | | Kiro | MCP Server | Guide | | Windsurf | MCP Server | Guide | | Aider | MCP Server | Guide | | OpenCode | MCP Server | Guide |

All Setup Guides →

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How It Works

Codingbuddy enforces a quality-driven development cycle:

    PLAN                    ACT                     EVAL
 ┌──────────┐          ┌──────────┐          ┌──────────────┐
 │ Architect │          │Developer │          │  Code Review  │
 │  designs  │───────▶  │implements│───────▶  │  + Parallel   │
 │  approach │          │ with TDD │          │  Specialists  │
 └──────────┘          └──────────┘          └──────┬───────┘
                                                    │
                                          ┌─────────┴─────────┐
                                          │                   │
                                    Critical > 0?       Critical = 0
                                    High > 0?           High = 0
                                          │                   │
                                          ▼                   ▼
                                    Back to PLAN        Ship with
                                                       confidence

AUTO mode runs the full cycle autonomously:

AUTO: Implement JWT authentication with refresh tokens
→ Plans architecture with security requirements
→ Implements with TDD
→ Reviews: security, performance, accessibility, code quality
→ Iterates until production-ready

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Impact Telemetry

Codingbuddy tracks what its agents do during your session and generates a summary at the end.

What It Tracks

| Event | Description | |-------|-------------| | Mode transitions | PLAN/ACT/EVAL workflow progression | | Agents dispatched | Which specialists were activated and when | | Issues prevented | Problems caught before reaching production | | Checklists generated | Domain-specific quality gates applied | | Context decisions | Architectural decisions persisted across sessions | | Rules matched | Project-specific rules enforced during the session |

How It Works

1. Every MCP tool call logs impact events to the session
2. Events are categorized by domain (security, accessibility, performance, quality) and severity
3. At session end, get_session_impact generates the summary report

No configuration needed. Impact telemetry is always on.

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Agents

37 specialist agents organized in a 3-tier system.

Mode Agents (4)

Orchestrate the development workflow.

| Agent | Role | |-------|------| | Plan Mode | Design architecture and test strategy | | Act Mode | Execute implementation with TDD | | Eval Mode | Multi-specialist code review | | Auto Mode | Autonomous PLAN → ACT → EVAL until quality met |

Primary Agents (18)

Core implementation and review roles.

| Agent | Focus | |-------|-------| | Solution Architect | High-level system design | | Technical Planner | Implementation planning with TDD tasks | | Frontend Developer | React/Next.js, Server Components, accessibility | | Backend Developer | Node.js, Python, Go, Java — Clean Architecture | | Mobile Developer | React Native, Flutter, iOS, Android | | Data Engineer | Schema design, migrations, query optimization | | Data Scientist | EDA, statistical modeling, ML, Jupyter | | Systems Developer | Rust, C/C++, FFI, embedded, low-level performance | | Code Reviewer | Multi-dimensional quality assessment | | Test Engineer | TDD cycle, coverage, all test types | | Security Engineer | Auth, encryption, vulnerability remediation | | Software Engineer | General-purpose, any language (fallback) | | DevOps Engineer | Docker, monitoring, deployment | | Platform Engineer | IaC, Kubernetes, multi-cloud, GitOps | | Tooling Engineer | Build tools, project configuration | | Agent Architect | AI agent design and validation | | AI/ML Engineer | LLM integration, RAG, prompt engineering | | UI/UX Designer | Visual hierarchy, interaction patterns, UX laws |

Specialist Agents (13)

Domain experts dispatched in parallel during EVAL.

| Agent | Domain | |-------|--------| | Architecture | Layer boundaries, dependency direction, SOLID | | Test Strategy | TDD vs test-after, coverage planning | | Security | OWASP, auth/authz, XSS/CSRF | | Accessibility | WCAG 2.1 AA, ARIA, keyboard navigation | | Performance | Core Web Vitals, bundle size, rendering | | Code Quality | Complexity analysis, DRY, design patterns | | SEO | Metadata, JSON-LD, Open Graph | | i18n | Translation keys, RTL, locale formatting | | Integration | API patterns, OAuth, circuit breakers | | Event Architecture | Event Sourcing, CQRS, Saga, message queues | | Documentation | JSDoc, code comments, API docs | | Observability | OpenTelemetry, tracing, SLI/SLO | | Migration | Strangler Fig, zero-downtime migrations |

Utility Agents (2)

| Agent | Purpose | |-------|---------| | Parallel Orchestrator | Multi-issue parallel execution with file-overlap validation | | Plan Reviewer | Plan quality and feasibility checks |

Full Agent Reference →

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Built-in Skills

Reusable workflows that enforce consistent development practices.

| Skill | Description | |-------|-------------| | ship | Run CI checks, create branch, commit, push, and PR | | retrospective | Analyze session archives for patterns and improvements | | test-driven-development | Red → Green → Refactor cycle enforcement | | systematic-debugging | Root cause analysis before proposing fixes | | security-audit | OWASP Top 10 review, secrets scanning | | performance-optimization | Profiling-first optimization workflow | | refactoring | Tidy First principles with test safety | | brainstorming | Explore intent and requirements before building |

Full Skills Library →

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Configuration

Create codingbuddy.config.json in your project root:

{
  "language": "en",
  "verbosity": "compact",
  "ai": {
    "defaultModel": "claude-sonnet-4-20250514"
  }
}

| Setting | Options | Default | |---------|---------|---------| | language | en, ko, ja, zh, es, pt-br, de, fr | en | | verbosity | minimal, compact, standard, detailed | compact | | ai.defaultModel | Any Claude model ID | claude-sonnet-4-* |

Configuration Reference →

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Terminal Dashboard (TUI)

Real-time visualization of agent activity, task progress, and workflow state.

npx codingbuddy tui

Multi-session support, responsive layout, and zero overhead on MCP response times.

TUI Guide →

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Documentation

| Document | Description | |----------|-------------| | Getting Started | Installation and setup | | Agent System | Complete agent reference | | Skills Library | Workflow skills | | Supported Tools | AI tool integration guides | | Configuration | Config file options | | Plugin Guide | Claude Code plugin setup | | TUI Guide | Terminal dashboard | | API Reference | MCP server capabilities |

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Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

License

MIT © Codingbuddy