Trabuco

编码与调试

by arianlopezc

Generate and manage production-ready Java multi-module Maven projects via AI coding agents

什么是 Trabuco

Generate and manage production-ready Java multi-module Maven projects via AI coding agents

README

<p align="center"> <pre align="center"> ████████╗██████╗ █████╗ ██████╗ ██╗ ██╗ ██████╗ ██████╗ ╚══██╔══╝██╔══██╗██╔══██╗██╔══██╗██║ ██║██╔════╝██╔═══██╗ ██║ ██████╔╝███████║██████╔╝██║ ██║██║ ██║ ██║ ██║ ██╔══██╗██╔══██║██╔══██╗██║ ██║██║ ██║ ██║ ██║ ██║ ██║██║ ██║██████╔╝╚██████╔╝╚██████╗╚██████╔╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ </pre> </p> <h3 align="center">Generate production-ready Java projects — with the AI context your coding agents need built in.</h3>

Starting a new Java project is slow — even with a coding agent helping. You set up Maven modules, wire databases and tests, copy boilerplate from that one project that "mostly works," and then spend the first hour explaining every architectural convention to Claude Code, Cursor, Copilot, or Codex from scratch. Hours pass before you write a single line of business logic. Trabuco exists because your time — and your agent's context window — is better spent building features, not fighting configuration or re-teaching conventions.

Trabuco is a command-line tool — and a Claude Code plugin — that generates both halves of a modern Java codebase: a complete, production-ready multi-module Maven project and the AI context that teaches coding agents how to work in it. Run trabuco init (or inside Claude Code, type /trabuco:new-project and describe what you need in plain English), answer a few prompts (or pass flags for automation), and you get a fully wired Spring Boot codebase alongside task-specific prompts, quality specifications, per-agent rule files, and workflow hooks already configured for Claude Code, Codex, Cursor, and GitHub Copilot. No templates to download, no manual setup, and no session spent bootstrapping your agent's understanding of the project.

The generated code is production-grade by default. Spring Boot with Spring Data JDBC (no JPA surprises), Flyway migrations, Testcontainers for real integration tests, Resilience4j circuit breakers, Google Java Format enforced by Spotless, ArchUnit rules that fail the build on layer violations, correlation-ID tracing, Prometheus metrics, OpenAPI + Swagger UI, and a global exception handler with sanitized responses. PostgreSQL, MySQL, MongoDB, or Redis — all configured with Docker Compose. JobRunr for background jobs; Kafka, RabbitMQ, AWS SQS, or GCP Pub/Sub for event-driven processing. The modular layout — Model, SQLDatastore / NoSQLDatastore, Shared, API, Worker, EventConsumer — has clean compile-time boundaries so API physically cannot import Worker code. Every opinion is deliberate: keyset pagination, no foreign-key constraints, Immutables at module boundaries, constructor injection only, bulk-bounded writes.

Alongside the code, Trabuco lays down an AI collaboration layer that the major coding agents load natively. The .ai/prompts/ directory ships task-specific guides (add-entity, add-endpoint, add-service, add-event, add-job, add-tool) plus JAVA_CODE_QUALITY.md — an authoritative specification covering architecture boundaries, exception handling, datastore performance (bulk I/O, keyset drain loops, denormalization), and testing standards. Per-agent rule files — CLAUDE.md for Claude Code, AGENTS.md for Codex, .cursor/rules/java.mdc for Cursor, .github/instructions/java.instructions.md for Copilot — wire those conventions into each tool's native discovery. Claude also gets .claude/skills/ for commit, PR, and review workflows; Codex and Cursor get hooks; Copilot gets setup steps. Every architectural convention lives in two places: enforced by the generated code and explained to the agents that will extend it.

Trabuco goes further. The AI Agent module ships production scaffolding for building AI agents themselves on Spring AI: tool calling, LLM input/output guardrails, multi-agent orchestration, knowledge-base integration, MCP server endpoint, the A2A (Agent-to-Agent) protocol, streaming responses, webhook callbacks, scope-based authorization, rate limiting, and correlation-ID tracing — wired, testable, and ready from the first commit. Trabuco itself is also an MCP server: run trabuco mcp and your coding agents invoke scaffolding operations natively (init_project, add_module, design_system, suggest_architecture).

Migrating an existing Spring Boot project is supported via trabuco migrate: an orchestrated 14-phase migration that transforms a Maven-based Spring Boot repo in place into a Trabuco-shaped multi-module project. Each phase is owned by a specialist that proposes structured changes you approve at a gate before they're committed; per-phase git tags provide atomic rollback. Start with trabuco migrate assess /path/to/repo. Full guide: docs/migration-guide.md.

Install

bash
# Recommended: use via npx (no install needed)
claude mcp add trabuco -- npx -y trabuco-mcp

# Or install the CLI globally
npm install -g trabuco-mcp                                       # via npm
go install github.com/arianlopezc/Trabuco/cmd/trabuco@latest     # via Go
curl -sSL https://raw.githubusercontent.com/arianlopezc/Trabuco/main/scripts/install.sh | bash  # via shell

For per-agent MCP setup (Cursor, Copilot, Codex), offline tarballs, and binary fallback, see docs/manual.md#installation.

Quick start

bash
# Interactive — Trabuco asks what you need
trabuco init

# Or all flags
trabuco init --name=myapp --group-id=com.company.myapp \
  --modules=Model,SQLDatastore,Shared,API --database=postgresql

cd myapp
mvn clean install
cd API && mvn spring-boot:run

Your API runs at http://localhost:8080. For Worker, EventConsumer, AIAgent, and CI examples, see docs/manual.md#quick-start.

Claude Code plugin

Trabuco is published in Anthropic's community plugin marketplace. Inside Claude Code:

text
/plugin marketplace add anthropics/claude-plugins-community
/plugin install trabuco@claude-community

You can also browse the catalog at claude.com/plugins, or pin to this repo directly (e.g. for unreleased changes) with /plugin marketplace add arianlopezc/Trabuco then /plugin install trabuco@trabuco-marketplace.

The plugin ships 8 skills (/trabuco:new-project, /trabuco:design-system, /trabuco:add-module, /trabuco:extend, /trabuco:migrate, /trabuco:doctor, /trabuco:suggest, /trabuco:sync), 17 specialist subagents (architect, AI-agent expert, migration orchestrator, 14 migration phase specialists), and an MCP server with 25 tools. Full plugin docs: plugin/README.md.

The plugin requires the trabuco CLI on PATH — install it first (or after; the SessionStart hook detects missing binaries and tells the assistant exactly what to do).

Highlights

  • Multi-module Maven — clean compile-time boundaries between Model, SQLDatastore/NoSQLDatastore, Shared, API, Worker, EventConsumer, AIAgent.
  • Spring Boot + Java — Spring Data JDBC (no JPA), Flyway migrations, virtual threads on by default, Testcontainers for real integration tests.
  • OIDC Resource Server scaffolding (auto-generated for API/AIAgent) — Spring Security dual SecurityFilterChain, JWT validation, scope-mapped authorities, RFC 7807 ProblemDetail handlers, RSA-signed e2e tests. Ships dormant — flip trabuco.auth.enabled=true and set OIDC_ISSUER_URI to validate tokens from Keycloak / Auth0 / Okta / Cognito / generic OIDC. No CLI flag, no half-installed projects. Full guide: docs/auth.md.
  • Production observability — RFC 7807 Problem Details, OpenTelemetry auto-instrumentation, Prometheus metrics, correlation IDs, health probes.
  • AI Agent module — Spring AI with tools, LLM guardrails, MCP server, A2A protocol, multi-agent orchestration, knowledge base, webhooks. The OIDC chain coexists with the legacy ApiKeyAuthFilter (governed by an independent property) for incremental migration.
  • AI collaboration layer.ai/prompts/ task guides, JAVA_CODE_QUALITY.md spec, per-agent rule files for Claude Code / Codex / Cursor / GitHub Copilot.
  • Migration of existing repostrabuco migrate runs a 14-phase orchestrated flow with per-phase approval gates and atomic rollback.
  • CI that knows your modules--ci github emits a workflow with the exact Docker services your modules need.
  • Stay in sync with new releasestrabuco sync --apply adds AI-tooling files added in newer CLI versions, additively.

For the full feature list, see docs/manual.md#features.

Documentation

  • docs/manual.md — full CLI reference (installation, modules, MCP server, code quality, configuration options, every flag).
  • docs/migration-guide.md — migrating an existing Spring Boot project.
  • docs/README.md — full docs index, including design context (philosophy, pattern recipes, when not to use, limitations).
  • plugin/README.md — Claude Code plugin: skills, subagents, hooks, MCP server.

Requirements

  • Java (Trabuco auto-detects installed versions)
  • Maven
  • Docker (for Testcontainers and local development)

Contributing

Issues and pull requests welcome.

License

MIT — do whatever you want with it.


Built with Trabuco. Now go build something amazing.

常见问题

Trabuco 是什么?

Generate and manage production-ready Java multi-module Maven projects via AI coding agents

相关 Skills

网页构建器

by anthropics

Universal
热门

面向复杂 claude.ai HTML artifact 开发,快速初始化 React + Tailwind CSS + shadcn/ui 项目并打包为单文件 HTML,适合需要状态管理、路由或多组件交互的页面。

在 claude.ai 里做复杂网页 Artifact 很省心,多组件、状态和路由都能顺手搭起来,React、Tailwind 与 shadcn/ui 组合效率高、成品也更精致。

编码与调试
未扫描172.7k

网页应用测试

by anthropics

Universal
热门

用 Playwright 为本地 Web 应用编写自动化测试,支持启动开发服务器、校验前端交互、排查 UI 异常、抓取截图与浏览器日志,适合调试动态页面和回归验证。

借助 Playwright 一站式验证本地 Web 应用前端功能,调 UI 时还能同步查看日志和截图,定位问题更快。

编码与调试
未扫描172.7k

前端设计

by anthropics

Universal
热门

面向组件、页面、海报和 Web 应用开发,按鲜明视觉方向生成可直接落地的前端代码与高质感 UI,适合做 landing page、Dashboard 或美化现有界面,避开千篇一律的 AI 审美。

想把页面做得既能上线又有设计感,就用前端设计:组件到整站都能产出,难得的是能避开千篇一律的 AI 味。

编码与调试
未扫描172.7k

相关 MCP Server

GitHub

编辑精选

by GitHub

热门

GitHub 是 MCP 官方参考服务器,让 Claude 直接读写你的代码仓库和 Issues。

这个参考服务器解决了开发者想让 AI 安全访问 GitHub 数据的问题,适合需要自动化代码审查或 Issue 管理的团队。但注意它只是参考实现,生产环境得自己加固安全。

编码与调试
89.7k

by Context7

热门

Context7 是实时拉取最新文档和代码示例的智能助手,让你告别过时资料。

它能解决开发者查找文档时信息滞后的问题,特别适合快速上手新库或跟进更新。不过,依赖外部源可能导致偶尔的数据延迟,建议结合官方文档使用。

编码与调试
60.2k

by tldraw

热门

tldraw 是让 AI 助手直接在无限画布上绘图和协作的 MCP 服务器。

这解决了 AI 只能输出文本、无法视觉化协作的痛点——想象让 Claude 帮你画流程图或白板讨论。最适合需要快速原型设计或头脑风暴的开发者。不过,目前它只是个基础连接器,你得自己搭建画布应用才能发挥全部潜力。

编码与调试
49.9k

评论