boring-aicoding 10.17.0

Boring Vibecoder Assistant: An AI-powered development support tool handling project planning, logic verification, and knowledge management. Works alongside Cursor, Copilot, and others to ensure rigorous, efficient workflows.

Boring: Your Autonomous Coding Partner for Vibe Development

Enterprise-grade Autonomous AI Development Agent
A full-language automated coding and verification engine built for Cursor / Claude Desktop / VS Code / Gemini CLI.

中文版 README

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🚀 Core Advantages

Feature	Description
🌐 Polyglot & CLI Native	Seamless switching between Gemini CLI and Claude Code CLI, zero API key required
🛡️ Parallel Verification	Multi-threaded parallel verification, 3-5x performance boost
🧠 RAG Memory	Vector search + dependency graph for real-time code retrieval
🛡️ Shadow Mode	High-risk operations require human approval for safety
📐 Spec-Driven	100% specification consistency from PRD to Code
🔒 Quality Gates	CI/CD multi-tier quality gates + multi-language linting + security scanning

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📦 Quick Installation

Option 1: Smithery (Recommended)

npx -y @smithery/cli@latest install boring/boring --client gemini-cli

Option 2: pip

pip install boring-aicoding
# Or full installation
pip install "boring[all]"

MCP Configuration

In mcp_config.json or IDE settings:

{
  "mcpServers": {
    "boring": {
      "command": "npx",
      "args": ["-y", "@smithery/cli", "run", "@boring/boring", "--config", "{}"]
    },
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}

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🎮 Two Usage Modes

Mode 1: MCP/Smithery (Recommended for most users)

Use Boring tools directly inside Gemini CLI, Cursor, or Claude Desktop:

You (in Gemini CLI): "Help me build a FastAPI auth service"
                     or
                     "/vibe_start Build an auth service"

Gemini + Boring: "Sure! Let me ask a few questions first..."

✅ No PROMPT.md required
✅ Interactive conversation
✅ Works with any MCP-compatible client

Mode 2: Autonomous Loop (boring start)

For long-running, fully automated development via CLI:

# Requires PROMPT.md in project root (created via boring-setup)
boring-setup my-project              # 1. Initialize project (Required!)
cd my-project                        # 2. Enter project directory
boring start                         # 3. Start autonomous loop
boring start --provider claude-code  # Use Claude Code CLI
boring start --provider gemini-cli   # Use Gemini CLI
boring run "Fix all lint errors"     # One-shot command

Required files for boring start:

your-project/
├── PROMPT.md      # ✅ Required - Instructions for AI
├── @fix_plan.md   # Optional - Task checklist
└── GEMINI.md      # Optional - Project context

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📚 Complete Documentation

Tutorials & Guides

Document	Description	Audience
Getting Started	Installation, first steps, MCP setup	New users
🔥 Practical Demo	10-min hands-on showcase, 6 real-world examples	🆕 Vibe Coders
Complete Tutorial	Quick start, core workflows, practical examples	All developers
Advanced Developer Guide	Architecture deep dive, tool development, internals	Senior developers
Professional Playbook	18 expert workflows with /slash commands	Senior developers

Reference & Appendices

Document	Description	Audience
Tool Reference (Appendix A)	Complete 55+ MCP tools reference	Quick lookup
FAQ (Appendix B)	Installation, troubleshooting, API key questions	When encountering issues
Prompt Philosophy (Appendix C)	Architect persona design principles	Prompt engineers
Architect Mode	Hostile Architect evaluation mode	Production code review

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⚡ Performance & Architecture

1. Incremental Verification

• Smart Caching: .boring_cache/verification.json stores file hashes.
• Speed: Re-verifying 100+ unchanged files takes <2 seconds.
• Force Mode: Use boring verify --force to bypass cache.

2. Incremental RAG Indexing

• State Tracking: Only re-indexes changed files.
• CLI: boring rag index (incremental by default).

3. Private AI & Tool Switching

• Supported Modes: Gemini CLI (recommended), Claude Code CLI (recommended), Ollama (local), SDK (API Key).
• Auto-detection: System automatically detects local command tools at startup.
• Configuration:

  # Run with custom timeout
  boring start --timeout 60
  
  # One-Shot Command (New!)
  boring run "Review this code and fix bugs"
  boring start --provider claude-code
  boring verify --provider gemini-cli
  

4. Quality Trend Tracking

• History Recording: Audit scores stored in .boring_brain/quality_history.json.
• Visualization: Use boring_quality_trend tool to draw ASCII trend charts.

5. Parallel Verification (V10.13)

• Concurrent Processing: Uses ThreadPoolExecutor to maximize CPU utilization for large projects.
• Speed Boost: 3x-5x faster verification on clean builds.
• Real-time Progress: Rich CLI progress bar independent of CI logs.

6. Contrastive Evaluation

• A/B Testing: Use evaluate --level PAIRWISE to compare two implementations side-by-side.
• LLM Judge: AI selects winner based on correctness, logic, and efficiency.
• Bias Mitigation: Automatic position bias handling via A/B/A order verification.

7. Developer Experience

• Config File: .boring.toml for project-specific rules.
• Custom Prompts: Override Judge Prompts in [boring.prompts].
• Linter Override: Customize tool parameters in [boring.linter_configs].

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🛠️ MCP Toolset (Consolidated & Dynamic)

Boring V10.16 adopts Dynamic Discovery Architecture to solve context overflow caused by too many tools.

🔎 Dynamic Discovery (AI Only)

• boring://capabilities: Read this resource to discover all available capabilities.
• boring://tools/{category}: Read detailed tool usage for a specific category.

🧰 Core Tools (Consolidated)

To reduce context consumption, we consolidated 50+ tools into 14 high-level entry points:

Category	Main Tool	Description
Security	boring_security_scan	SAST, secret detection, dependency scanning (Bandit/Safety)
Transactions	boring_transaction	Atomic Git operations (Start/Commit/Rollback)
Background	boring_task	Async background tasks (Verify/Test/Lint)
Context	boring_context	Cross-session memory save/load
Profile	boring_profile	User preferences and cross-project learning
Verification	boring_verify	Multi-level code verification (Basic/Standard/Full)
RAG Memory	boring_rag_search	Semantic search and dependency context retrieval. Use boring_rag_reload to hot-reload dependencies after installation.
Agents	boring_multi_agent	[PROMPT GENERATOR / EXECUTOR] Returns prompts or executes workflow in background (execute=True). Helper tools: boring_prompt_plan, boring_prompt_fix
Shadow	boring_shadow_mode	Safe sandbox for high-risk operations
Git	boring_commit	Semantic commit message generation from task.md (used by smart_commit prompt)
Workspace	boring_workspace_switch	Multi-project workspace switching
Knowledge	boring_learn	Project knowledge extraction and storage
Plugins	boring_run_plugin	External plugin execution
Evaluation	boring_evaluate	LLM-as-Judge code scoring

🚀 Quick Start Prompts

One-click workflows designed for Claude Desktop / Gemini CLI users:

Prompt	Purpose	Usage
vibe_start	Launch complete development workflow	/vibe_start Build a FastAPI auth service
quick_fix	Auto-fix all code issues	/quick_fix
full_stack_dev	Full-stack app development	/full_stack_dev my-app "Next.js + FastAPI"

💡 Vibe Coding Mode: Describe your idea, let AI handle the rest!

🚀 Quick Start

Use Slash Commands to jumpstart your development:

1. Start Boring:

   boring start
   

2. Enter Command:

   /vibe_start Build a FastAPI auth service
   

   Or for specific tech stacks:

   /full_stack_dev my-app "Next.js + Tailwind + Supabase"
   

Note: All templates and shortcuts are now consolidated into Slash Commands (Prompts) for a unified experience.

List available templates

boring templates list

**Built-in Templates:**
| Template ID | Description |
|-------------|-------------|
| `fastapi-auth` | FastAPI + JWT authentication service |
| `nextjs-dashboard` | Next.js admin dashboard |
| `cli-tool` | Python CLI tool (Typer) |
| `vue-spa` | Vue 3 single-page application |

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## 📊 Live Monitoring

Two monitoring options for terminal lovers and visual dashboards:

- **Terminal Dashboard (TUI)**: Run `boring-monitor`. Displays status, API call counts, and recent logs in terminal.
- **Web Dashboard**: Run `boring-dashboard`. Streamlit-powered visual interface with project trends and knowledge base inspection.

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## 🌐 Supported Languages

| Language | Syntax Check | Linter | Test Runner |
|----------|--------------|--------|-------------|
| Python | ✅ compile() | ✅ ruff | ✅ pytest |
| JS/TS | ✅ node --check | ✅ eslint | ✅ npm test |
| Go | ✅ go fmt | ✅ golangci-lint | ✅ go test |
| Rust | ✅ rustc | ✅ cargo clippy | ✅ cargo test |
| Java | ✅ javac | - | ✅ mvn/gradle |
| C/C++ | ✅ gcc/g++ | ✅ clang-tidy | - |

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## 💡 Pro Tips

### Tip 1: SpecKit Workflow (5 Steps)

Before writing code, Boring guides you through:

1. `speckit_constitution` → Establish Principles (Constitution)
2. `speckit_clarify` → Clarify Requirements
3. `speckit_plan` → Create Implementation Plan
4. `speckit_checklist` → Build Acceptance Criteria
5. `speckit_analyze` → Verify Consistency (Spec vs Plan)

> **"Measure Twice, Cut Once"** - AI implementation!

### Tip 2: Use Hybrid Mode

| Task Type | Recommended Tool |
|-----------|------------------|
| Small changes | `boring_apply_patch` |
| Large features | `run_boring` + SpecKit |
| Quality check | `boring_evaluate` |

### Tip 3: Accumulate Experience

Develop → AI fixes errors → Record to .boring_memory Project ends → boring_learn → Extract patterns to .boring_brain Next project → AI auto-references!

### Tip 4: Custom Lint Rules

Create `ruff.toml`:

```toml
line-length = 120
[lint]
ignore = ["T201", "F401"]  # Allow print() and unused imports

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📚 Quick Tutorials

1. New Project Development

You: Help me create a TypeScript API project
AI: (runs speckit_plan) Generating implementation_plan.md...
You: Approve this plan
AI: (runs boring_multi_agent) Starting Plan→Code→Review loop...

2. Code Verification

You: Verify the code quality of this project
AI: (runs boring_verify --level FULL) 
    ✅ Syntax check passed
    ⚠️ Found 3 lint issues
    ✅ Tests passed (12/12)

3. RAG Search

You: I want to find code that handles user authentication
AI: (runs boring_rag_search "user authentication")
    Found 3 related functions:
    1. auth.py:verify_token (L23-45)
    2. middleware.py:require_auth (L67-89)
    ...

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🔌 Git Hooks

Automatically verify code before commit/push:

boring hooks install    # Install
boring hooks status     # Status
boring hooks uninstall  # Remove

Hook	Trigger	Verification Level
pre-commit	Every commit	STANDARD
pre-push	Every push	FULL
quick-check	Every commit	QUICK (multi-language)

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🆕 V10.16.3 New Features (Security & Stability)

1. Enhanced Shadow Mode 🛡️

What is Shadow Mode? Shadow Mode is the security core of Boring, acting as a mandatory interception layer between the AI and your file system.

• Function: It intercepts all destructive operations (e.g., file writes, deletions, command execution).
• Workflow: AI requests operation -> Shadow Mode evaluates impact -> Puts in pending queue -> Requires YOUR approval (boring_shadow_approve) to execute.
• Strict Enforcement: In v10.16.3, we patched all bypasses. Even background agent patches or minor edits require approval if you are in STRICT mode.

Three Modes:

• DISABLED (⚠️ Risky): No interception. For isolated containers only.
• ENABLED (🛡️ Default): Auto-approves low-risk ops (reads), blocks high-risk ops.
• STRICT (🔒 Secure): Intercepts ALL write operations. Highest security level.

2. Robust Transactions 💾

Non-Interactive Git: boring_transaction now automatically bypasses GPG/credential prompts, preventing CI hangs.

3. Smart RAG Environment 🧠

Auto-Discovery: RAG tools now automatically find user-installed Python packages (chromadb), solving "module not found" issues in isolated environments.

🆕 V10.16.0 New Features

1. Quality Gates (CI/CD)

Project includes .github/workflows/quality-gates.yml:

# Auto-runs on push to GitHub
Tier 1: Lint & Format     # ruff check, ruff format
Tier 2: Security Scan     # bandit, safety
Tier 3: Unit Tests        # pytest --cov-fail-under=39
Tier 4: Integration Tests # main branch only

2. Project Configuration (.boring.toml)

Create .boring.toml in project root for custom quality policies:

[boring.quality_gates]
min_coverage = 40           # Minimum coverage
max_complexity = 15         # Maximum complexity
max_file_lines = 500        # Maximum file lines

3. Evaluation Rubric (LLM Judge)

Use standardized rubrics for code quality evaluation:

boring_evaluate --target src/main.py --level DIRECT

4. Quick Multi-language Check

# Install Quick Check Hook
boring hooks install

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🆕 V10.15 New Features

1. Incremental Verification (Git-based)

# Verify only Git-changed files
boring verify --incremental

# MCP call
boring_verify(incremental=true)

2. Multi-project RAG Search

boring_rag_search(
    query="authentication middleware",
    additional_roots=["/path/to/other-project"]
)

3. Dependency Graph Visualization

boring_visualize --scope full --output mermaid

4. Parallel Review (Multi-Reviewer)

boring_agent_review --parallel

5. VS Code Integration (JSON-RPC Server)

Enables native development experience in editors:

1. Real-time Error Hints: Red squiggles in code on save
2. Quality Score CodeLens: Display Quality: 4.5/5 above functions
3. Sidebar Semantic Search: Natural language code search
4. One-click Quick Fix: Auto-fix via lightbulb icon

// .vscode/settings.json
{
  "boring.enableServer": true,
  "boring.port": 8765
}

6. Other IDE Support (LSP & CLI)

• Cursor / VS Code derivatives: Full support via MCP Server
• IntelliJ / PyCharm / Vim: Run boring lsp start --port 9876 for JSON-RPC server
• CLI Mode: All automation available via boring command

7. Error Diagnostics

Auto-analyze errors and suggest fixes:

boring_diagnose --error "ModuleNotFoundError: No module named 'foo'"

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🎯 Future Vision

Note: The following features require server support (not yet implemented)

• 🌐 Boring Cloud: Cloud collaboration and team sharing
• 🤝 Team Workflows: Multi-person workflow synchronization
• 🔐 Enterprise SSO: Enterprise-grade identity authentication

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🙏 Acknowledgments

Thanks to the following projects and communities:

• Google Gemini - Powerful AI model
• Model Context Protocol - Standardized AI tool protocol
• Tree-sitter - Efficient multi-language parser
• ChromaDB - Vector database
• Ruff - Ultra-fast Python Linter
• FastMCP - MCP Server framework
• All Contributors and users!

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📄 License

Apache License 2.0

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🔗 Links

• GitHub Repository
• Smithery
• Bug Reports
• CHANGELOG
• Contributing Guide