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Bun Runtime Expert

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roedyrustam
bun-runtime-expert

Bun 1.2+ runtime: native Bun.sql, Bun.s3, multi-core HTTP, bun:test / Runtime Bun 1.2+: native Bun.sql, Bun.s3, HTTP multi-core, bun:test.

Overview

Publisherroedyrustam
Repositoryvibes-plug
Skill namebun-runtime-expert
Stars
117
Forks
27
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by roedyrustam on GitHub. Read the source before you install it.

Installation

Install the Bun Runtime Expert AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/roedyrustam/vibes-plug/tree/main/skills/bun-runtime-expert
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/roedyrustam/vibes-plug.git /tmp/vibes-plug
mkdir -p .claude/skills
cp -r /tmp/vibes-plug/skills/bun-runtime-expert .claude/skills/bun-runtime-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bun Runtime Expert in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bun Runtime Expert on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bun Runtime Expert is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Bun 1.2+ Runtime Expert (2026 High-Performance Standard)

English | Bahasa Indonesia


English

Orchestration & Integration

Connects and orchestrates with domain skills:

  • Backend & APIs: js-backend-expert (Hono on Bun, Fastify/Express migration), api-design-expert (REST & WebSocket contracts), and sse-websocket-streaming-expert (native Bun.serve WebSockets).
  • Database & Storage: database-orm-expert (Drizzle ORM with native bun:sql, PostgreSQL/SQLite) and file-upload-media-expert (zero-dependency Bun.s3 client).
  • Quality & Testing: autonomous-tdd-debugger, e2e-testing-expert, and anti-slop for executing high-speed bun test suites with snapshot matching.
  • Orchestration: brainstorming and zero-to-prod-orchestrator (Phase 4: Backend & APIs).

Description

Expert-level guidance for engineering ultra-low-latency backend microservices with Bun 1.2+. Covers the native PostgreSQL driver (import { SQL } from 'bun'), native S3 object storage (Bun.s3), git-friendly text lockfiles (bun.lock), multi-core HTTP clustering via reusePort, built-in SQLite, and high-speed Jest-compatible unit testing via bun:test.

Trigger Conditions

  • Scaffolding new high-performance microservices, REST APIs, or WebSocket hubs using Bun.
  • Querying PostgreSQL or SQLite without external drivers using native Bun.sql.
  • Interacting with Amazon S3, Cloudflare R2, or MinIO using zero-dependency Bun.s3.
  • Running multi-core HTTP services with automatic load distribution across CPU cores.
  • Executing unit and integration tests using bun test.
  • Migrating legacy Node.js/npm codebases to Bun's native execution layer.

Bun 1.2+ Core Architectural Features

1. Native PostgreSQL Client (import { SQL } from 'bun')

Bun 1.2 includes a built-in, high-speed PostgreSQL driver that communicates directly via binary wire protocol without pg or postgres.js:

typescript
// src/lib/db.ts
import { SQL } from 'bun';

// Instantiate pooled database client
export const sql = new SQL({
  url: process.env.DATABASE_URL || 'postgres://user:password@localhost:5432/production_db',
  max: 20, // Connection pool size
  idleTimeout: 30, // Max idle time in seconds
});

export interface UserAccount {
  id: string;
  email: string;
  balance: number;
}

// 1. Tagged template query with automatic parameterized SQL injection defense
export async function getActiveUser(email: string): Promise<UserAccount | null> {
  const users = await sql<UserAccount[]>`
    SELECT id, email, balance 
    FROM users 
    WHERE email = ${email} AND active = true 
    LIMIT 1
  `;
  return users[0] ?? null;
}

// 2. Atomic Database Transaction
export async function transferFunds(fromUserId: string, toUserId: string, amount: number) {
  return await sql.begin(async (tx) => {
    const debit = await tx`
      UPDATE users 
      SET balance = balance - ${amount} 
      WHERE id = ${fromUserId} AND balance >= ${amount} 
      RETURNING id, balance
    `;

    if (debit.length === 0) {
      throw new Error('Insufficient funds or sender not found');
    }

    await tx`
      UPDATE users 
      SET balance = balance + ${amount} 
      WHERE id = ${toUserId}
    `;

    return { success: true };
  });
}
2. Native Object Storage (Bun.s3)

Interact with AWS S3, Cloudflare R2, or MinIO with zero external SDK dependencies:

typescript
// src/lib/storage.ts
import { s3 } from 'bun';

// Configure credentials once or let Bun auto-detect AWS_* environment variables
s3.credentials({
  accessKeyId: process.env.S3_ACCESS_KEY_ID!,
  secretAccessKey: process.env.S3_SECRET_ACCESS_KEY!,
  bucket: process.env.S3_BUCKET_NAME!,
  region: process.env.S3_REGION || 'auto',
  endpoint: process.env.S3_ENDPOINT, // e.g. https://<account_id>.r2.cloudflarestorage.com
});

// Upload file directly from memory buffer
export async function uploadInvoicePdf(invoiceId: string, pdfBuffer: Buffer): Promise<string> {
  const fileKey = `invoices/${invoiceId}.pdf`;
  await s3.write(fileKey, pdfBuffer, {
    type: 'application/pdf',
  });
  return fileKey;
}

// Generate presigned upload URL for direct browser uploads
export function getDirectUploadUrl(fileName: string): string {
  return s3.presign(`uploads/${fileName}`, {
    method: 'PUT',
    expiresIn: 300, // 5 minutes
  });
}
3. Multi-Core HTTP Clustering with Bun.serve()

Scale HTTP throughput across all CPU cores on a single host with reusePort: true:

typescript
// src/server.ts
import { serve } from 'bun';

const server = serve({
  port: Number(process.env.PORT) || 3000,
  reusePort: true, // Enables SO_REUSEPORT: spawn multiple instances to scale across cores
  async fetch(req) {
    const url = new URL(req.url);

    if (url.pathname === '/health') {
      return Response.json({
        status: 'healthy',
        pid: process.pid,
        timestamp: new Date().toISOString(),
      });
    }

    return new Response('Not Found', { status: 404 });
  },
  error(error) {
    return new Response(`Internal Server Error: ${error.message}`, { status: 500 });
  },
});

console.log(`Worker process ${process.pid} listening on port ${server.port}`);
4. Human-Readable Text Lockfile (bun.lock)

In Bun 1.2+, the default lockfile format is a plain text bun.lock file (replacing binary bun.lockb):

  • Git-Friendly: Clean line-by-line diffs in Pull Requests.
  • Merge-Conflict Resilient: Standard git conflict resolution tools work seamlessly.
  • Auditable: Dependencies and integrity hashes can be inspected with standard CLI tools (cat, grep).
5. Fast Testing with bun:test

Jest/Vitest compatible test suite running natively on JavaScriptCore:

typescript
// test/user.test.ts
import { describe, expect, it, beforeEach } from 'bun:test';
import { getActiveUser, sql } from '../src/lib/db';

describe('User Database Service', () => {
  beforeEach(async () => {
    await sql`TRUNCATE TABLE users CASCADE`;
    await sql`INSERT INTO users (id, email, balance, active) VALUES ('usr-1', 'test@example.com', 100.0, true)`;
  });

  it('retrieves active user by email', async () => {
    const user = await getActiveUser('test@example.com');
    expect(user).not.toBeNull();
    expect(user?.email).toBe('test@example.com');
    expect(user?.balance).toBe(100.0);
  });

  it('returns null for inactive or missing user', async () => {
    const missing = await getActiveUser('missing@example.com');
    expect(missing).toBeNull();
  });
});

Sovereign Execution, Token Efficiency & Invariants

DimensionSovereign Mandate & Deterministic Contract
Frontier Model CascadeMedium / High (GPT-5.6 Sol Medium, Gemini 4 Argon, Claude Sonnet 5.5 High, Grok 4.7 High Fast)
Availability FallbackGemini 4 Argon/Pro -> Gemini 3.8 Flash; Claude Opus 5.5 -> Claude Opus 4.6 (Zero unhandled missing-model errors)
KV-Cache & Token ProtocolPin static instructions & schemas at prompt prefix (kv-cache-prefix-optimizer); pass surgical CONTEXT_MAP.md slices (<250 tokens/call) during Swarm Fan-Out
SaaT CLI & MCP DispatchCLI: vibes skill exec bun-runtime-expert <audit|eval|verify|generate|blueprint> / MCP: vibes_skill_dispatch, vibes_ast_query, vibes_compile_cache, vibes_optimize_budget, vibes_verify_gate
NFR & Anti-Slop InvariantsP99 API Gateway Latency < 85ms, OpenAPI 3.1 / TypeSpec strict schema parity, RFC 9457 Problem Details error contracts, Idempotency-Key enforcement; 100% complete zero-placeholder output verified via node scripts/check-anti-slop.js --strict


Bahasa Indonesia

Integrasi Orkestrasi

Terhubung dan mengorkestrasi bersama skill domain:

  • Backend & API: js-backend-expert (Hono di atas Bun, migrasi Fastify/Express), api-design-expert (kontrak REST & WebSocket), dan sse-websocket-streaming-expert (WebSocket native Bun.serve).
  • Database & Penyimpanan: database-orm-expert (Drizzle ORM dengan native bun:sql, PostgreSQL/SQLite) dan file-upload-media-expert (klien object storage Bun.s3 zero-dependency).
  • Kualitas & Pengujian: autonomous-tdd-debugger, e2e-testing-expert, dan anti-slop untuk eksekusi test runner bun test berkecepatan tinggi dengan pencocokan snapshot.
  • Orkestrator Utama: brainstorming dan zero-to-prod-orchestrator (Fase 4: Backend & APIs).

Deskripsi

Panduan tingkat ahli untuk rekayasa microservices backend berlatensi ultra-rendah menggunakan Bun 1.2+. Mencakup driver PostgreSQL native (import { SQL } from 'bun'), penyimpanan objek native S3 (Bun.s3), format lockfile teks yang ramah git (bun.lock), clustering HTTP multi-core melalui reusePort, SQLite bawaan, dan pengujian unit kompatibel Jest via bun:test.

Kondisi Pemicu

  • Merancang microservices baru, REST API, atau hub WebSocket berkecepatan tinggi dengan Bun.
  • Melakukan query database PostgreSQL atau SQLite tanpa library eksternal menggunakan Bun.sql.
  • Berinteraksi dengan AWS S3, Cloudflare R2, atau MinIO tanpa dependensi AWS SDK via Bun.s3.
  • Menjalankan layanan HTTP multi-core dengan pembagian beban otomatis di semua core CPU.
  • Menjalankan pengujian unit dan integrasi berkecepatan tinggi menggunakan bun test.

Fitur Arsitektur Inti Bun 1.2+

1. Klien PostgreSQL Native (import { SQL } from 'bun')

Bun 1.2 menyertakan driver PostgreSQL berkecepatan tinggi yang berkomunikasi langsung melalui protokol biner tanpa overhead library pihak ketiga:

typescript
import { SQL } from 'bun';

export const sql = new SQL({
  url: process.env.DATABASE_URL || 'postgres://user:password@localhost:5432/db_produksi',
  max: 20,
});

// Query aman terhadap SQL Injection melalui tagged template literals
export async function cariPenggunaAktif(email: string) {
  const pengguna = await sql`
    SELECT id, email, balance 
    FROM users 
    WHERE email = ${email} AND active = true 
    LIMIT 1
  `;
  return pengguna[0] ?? null;
}
2. Klien Object Storage Native (Bun.s3)

Unggah dan kelola file di S3 atau Cloudflare R2 secara native:

typescript
import { s3 } from 'bun';

// Unggah buffer file dokumen langsung
export async function simpanFaktur(fakturId: string, pdfBuffer: Buffer) {
  const namaFile = `faktur/${fakturId}.pdf`;
  await s3.write(namaFile, pdfBuffer, { type: 'application/pdf' });
  return namaFile;
}

// Buat URL presigned untuk upload langsung dari browser klien
export function buatUrlUploadLangsung(namaFile: string) {
  return s3.presign(`unggah/${namaFile}`, {
    method: 'PUT',
    expiresIn: 300,
  });
}
3. Clustering HTTP Multi-Core dengan Bun.serve()
typescript
import { serve } from 'bun';

const server = serve({
  port: Number(process.env.PORT) || 3000,
  reusePort: true, // Memungkinkan beberapa proses Bun berjalan di port yang sama lintas CPU cores
  async fetch(req) {
    return Response.json({
      status: 'aktif',
      pid: process.pid,
      waktu: new Date().toISOString(),
    });
  },
});

Matriks Eksekusi Berdaulat, Efisiensi Token & Invarian

DimensiMandat Berdaulat & Kontrak Deterministik
Kaskade Model FrontierMedium / High (GPT-5.6 Sol Medium, Gemini 4 Argon, Claude Sonnet 5.5 High, Grok 4.7 High Fast)
Invarian Fallback KetersediaanGemini 4 Argon/Pro -> Gemini 3.8 Flash; Claude Opus 5.5 -> Claude Opus 4.6 (Bebas gagal saat model belum tersedia/kuota penuh)
Protokol Hemat Token & KV-CacheKunci instruksi & skema statis di prefix awal (kv-cache-prefix-optimizer); kirim potongan CONTEXT_MAP.md (<250 token/panggilan) saat Fan-Out
Eksekusi SaaT CLI & MCPCLI: vibes skill exec bun-runtime-expert <audit|eval|verify|generate|blueprint> / MCP: vibes_skill_dispatch, vibes_ast_query, vibes_compile_cache, vibes_optimize_budget, vibes_verify_gate
Invarian NFR & Anti-SlopLatensi P99 API < 85ms, paritas skema ketat OpenAPI 3.1 / TypeSpec, kontrak error RFC 9457 Problem Details, penegakan Idempotency-Key; kode 100% tuntas tanpa placeholder diverifikasi melalui node scripts/check-anti-slop.js --strict

Frequently asked questions

What does the Bun Runtime Expert AI skill do?

Bun 1.2+ runtime: native Bun.sql, Bun.s3, multi-core HTTP, bun:test / Runtime Bun 1.2+: native Bun.sql, Bun.s3, HTTP multi-core, bun:test.

Why use Bun Runtime Expert on TypingMind?

Because you install it once and use it with any model. Bun Runtime Expert is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bun Runtime Expert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/roedyrustam/vibes-plug/tree/main/skills/bun-runtime-expert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Bun Runtime Expert?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bun Runtime Expert?

As many as you like. As long as a model supports skills, you can use Bun Runtime Expert with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bun Runtime Expert AI skill free?

Yes. It is published on GitHub by roedyrustam under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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