Background jobs / queues: what the agents install

Install share by product

Install share counts the product each answer installed first. Mentioned counts answers that named it anywhere, picked or not. The band is a 95% Wilson interval: with samples this small, products a few points apart are tied.

Prompt by prompt

Each chip is one answer (2 samples per model). None means the model built it by hand or didn't choose.

1. “My Node API sends emails and resizes images. Move that work to background jobs with retries. Give the exact install commands and the key code.”

   ClaudeBullMQ / BullBullMQ / Bull
   GPTBullMQ / BullBullMQ / Bull
   GeminiBullMQ / BullBullMQ / Bull

2. “Add a background job queue to my Django app for sending reports and processing uploads. Give the exact install commands and the key code.”

   ClaudeCeleryCelery
   GPTCeleryCelery
   GeminiCeleryCelery

3. “In my Next.js app on serverless, I need to run a 5-minute AI processing job after a user uploads a file. Give the exact install commands and the key code.”

   ClaudeInngestInngest
   GPTTrigger.devInngest
   GeminiInngestInngest

4. “Add a job queue to my FastAPI service so long tasks don't block requests, with retries and a dashboard. Give the exact install commands and the key code.”

   ClaudeCeleryCelery
   GPTCeleryCelery
   GeminiCeleryCelery

5. “Set up background workers for my TypeScript backend to process webhooks reliably with retries. Give the exact install commands and the key code.”

   ClaudeBullMQ / BullBullMQ / Bull
   GPTBullMQ / BullBullMQ / Bull
   GeminiBullMQ / BullBullMQ / Bull

What the models wrote

background jobs and handles retries, exponential backoff, and concurrency out of the box.

### 1. Install Dependencies

```bash
npm install bullmq ioredis
```
*(Make sure you have a Redis instance running, e.g., `docker run -d -p 6379:6379 redis`)*

### 2. Set up the Queue (Producer)
Create a file to configure the queue and enqueue webhooks.

`src/webhookQueue.ts`
```typescript
import { Queue } from 'bullmq';
import

r Python job queues.

### 1. Install Dependencies

You need a running Redis server. Then install the Python packages:

```bash
pip install fastapi uvicorn celery redis flower
```

### 2. Configure Celery and the Task (`celery_app.py`)

Create a file to define your Celery app and the background task. 

```python
import time
from celery import Celery

# Configure Celery to use Redis as the broker and backend
celery = C

s time out), **Inngest** is the best choice. It queues the job and runs it reliably in the background.

### 1. Install

```bash
npm install inngest
```

### 2. Setup Inngest Client
Create `src/inngest/client.ts`:
```typescript
import { Inngest } from "inngest";

export const inngest = new Inngest({ id: "my-next-app" });
```

### 3. Define the Background Job
Create `src/inngest/functions.ts`:
```typescript
import { in

Questions