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bun-runtime

Bun como runtime, gerenciador de pacotes, bundler e executor de testes. Quando escolher Bun vs Node, notas de migração e suporte Vercel.

O que é bun-runtime?

Esta skill fornece conhecimento especializado sobre o runtime Bun, uma alternativa rápida e all-in-one ao Node.js, que também funciona como gerenciador de pacotes, bundler e executor de testes. É útil para desenvolvedores que desejam adotar o Bun em novos projetos JavaScript/TypeScript, migrar do Node.js, otimizar scripts com instalação e execução mais rápidas, ou configurar o Bun em plataformas como Vercel. A skill explica quando escolher Bun em vez de Node (com base em desempenho, compatibilidade e ferramentas), oferece notas práticas de migração (como substituir `npm install` por `bun install` e `node script.js` por `bun run script.js`), e cobre o suporte nativo a TypeScript, o uso do `bun test` com API semelhante ao Jest, e comandos para deploy na Vercel (`bun install --frozen-lockfile`, `bun run build`). Além disso, inclui exemplos de código e boas práticas, como versionar o arquivo de lockfile (`bun.lock`) e manter as dependências atualizadas dado o ecossistema em rápida evolução.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/bun-runtime

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Documentação

Runtime Bun

Bun é um runtime e toolkit JavaScript rápido e tudo-em-um: runtime, gerenciador de pacotes, bundler e executor de testes.

Quando Usar

  • Prefira Bun para: novos projetos JS/TS, scripts onde velocidade de instalação/execução importa, deploys na Vercel com runtime Bun, e quando você quiser uma única ferramenta (executar + instalar + testar + buildar).
  • Prefira Node para: máxima compatibilidade com ecossistema, ferramentas legadas que assumem Node, ou quando uma dependência tem problemas conhecidos com Bun.

Use quando: adotar o Bun, migrar do Node, escrever ou depurar scripts/testes Bun, ou configurar o Bun na Vercel ou outras plataformas.

Como Funciona

  • Runtime: Runtime compatível com Node (substituto direto, construído sobre JavaScriptCore, implementado em Zig).
  • Gerenciador de pacotes: bun install é significativamente mais rápido que npm/yarn. O lockfile é bun.lock (texto) por padrão no Bun atual; versões antigas usavam bun.lockb (binário).
  • Bundler: Bundler e transpilador embutidos para aplicações e bibliotecas.
  • Executor de testes: bun test embutido com API semelhante ao Jest.

Migração do Node: Substitua node script.js por bun run script.js ou bun script.js. Execute bun install no lugar de npm install; a maioria dos pacotes funciona. Use bun run para scripts npm; bun x para execuções únicas no estilo npx. Os built-ins do Node são suportados; prefira APIs do Bun onde existirem para melhor desempenho.

Vercel: Defina o runtime como Bun nas configurações do projeto. Build: bun run build ou bun build ./src/index.ts --outdir=dist. Instalação: bun install --frozen-lockfile para deploys reproduzíveis.

Exemplos

Executar e instalar

# Instala dependências (cria/atualiza bun.lock ou bun.lockb)
bun install

# Executa um script ou arquivo
bun run dev
bun run src/index.ts
bun src/index.ts

Scripts e env

bun run --env-file=.env dev
FOO=bar bun run script.ts

Testes

bun test
bun test --watch
// test/example.test.ts
import { expect, test } from "bun:test";

test("add", () => {
  expect(1 + 2).toBe(3);
});

API do Runtime

const file = Bun.file("package.json");
const json = await file.json();

Bun.serve({
  port: 3000,
  fetch(req) {
    return new Response("Hello");
  },
});

Melhores Práticas

  • Faça commit do lockfile (bun.lock ou bun.lockb) para instalações reproduzíveis.
  • Prefira bun run para scripts. Para TypeScript, Bun executa .ts nativamente.
  • Mantenha as dependências atualizadas; o Bun e o ecossistema evoluem rapidamente.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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