Juicebox Local Dev Loop

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'Configure Juicebox local dev workflow.

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Details

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What this skill tells your AI

The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/juicebox-local-dev-loop/SKILL.md and read by Ahel’s review.

Overview

Local development workflow for Juicebox AI-powered people analysis and recruiting API integration. Provides a fast feedback loop with mock profile search results and candidate enrichment data so you can build talent pipeline tools without consuming live API credits. Toggle between mock mode for rapid iteration and sandbox mode for validating against the real Juicebox API.

Environment Setup

cp .env.example .env
# Set your credentials:
# JUICEBOX_API_KEY=jb_live_xxxxxxxxxxxx
# JUICEBOX_BASE_URL=https://api.juicebox.work/v1
# MOCK_MODE=true
npm install express axios dotenv tsx typescript @types/node
npm install -D vitest supertest @types/express

Dev Server

// src/dev/server.ts
import express from "express";
import { createProxyMiddleware } from "http-proxy-middleware";
const app = express();
app.use(express.json());
const MOCK = process.env.MOCK_MODE === "true";
if (!MOCK) {
  app.use("/v1", createProxyMiddleware({
    target: process.env.JUICEBOX_BASE_URL,
    changeOrigin: true,
    headers: { Authorization: `Bearer ${process.env.JUICEBOX_API_KEY}` },
  }));
} else {
  const { mountMockRoutes } = require("./mocks");
  mountMockRoutes(app);
}
app.listen(3004, () => console.log(`Juicebox dev server on :3004 [mock=${MOCK}]`));

Mock Mode

// src/dev/mocks.ts — realistic people search and enrichment responses
export function mountMockRoutes(app: any) {
  app.post("/v1/search", (req: any, res: any) => res.json({
    total: 150,
    profiles: [
      { id: "prof_1", name: "Jane Smith", title: "Senior Engineer", company: "Google", location: "San Francisco, CA", skills: ["TypeScript", "React", "GCP"] },
      { id: "prof_2", name: "Alex Chen", title: "Staff ML Engineer", company: "Meta", location: "New York, NY", skills: ["Python", "PyTorch", "MLOps"] },
    ],
  }));
  app.get("/v1/profiles/:id", (req: any, res: any) => res.json({
    id: req.params.id, name: "Jane Smith", title: "Senior Engineer", company: "Google",
    experience: [{ role: "Senior Engineer", company: "Google", years: 3 }],
    education: [{ school: "MIT", degree: "BS Computer Science" }],
  }));
  app.get("/v1/usage", (_req: any, res: any) => res.json({ creditsUsed: 12, creditsRemaining: 488, plan: "starter" }));
}

Testing Workflow

npm run dev:mock &                    # Start mock server in background
npm run test                          # Unit tests with vitest
npm run test -- --watch               # Watch mode for rapid iteration
MOCK_MODE=false npm run test:integration  # Integration test against real API

Debug Tips

  • Set search limit to 5 in development to avoid burning API credits
  • Use /v1/usage endpoint to monitor credit consumption before switching off mock mode
  • Juicebox search queries are natural language — test with specific role titles for better results
  • Check profiles[].skills array for null values that can break filtering logic
  • Log the full request payload to verify boolean filters are serialized correctly

Error Handling

IssueCauseFix
401 UnauthorizedInvalid API keyRegenerate at Juicebox dashboard
402 Payment RequiredCredits exhaustedUpgrade plan or wait for monthly reset
400 Bad RequestMalformed search queryValidate query structure before sending
429 Rate LimitedToo many requests per minuteAdd exponential backoff, use mock mode
ECONNREFUSED :3004Dev server not runningRun npm run dev:mock first

Prerequisites

  • A local sandbox configured for mock or synthetic data, secret references instead of literal keys, source/destination allowlists, suppression fixtures, and a tested cleanup command.

Instructions

  1. Start in mock mode and use only synthetic records; do not switch to an integration environment until source authority and owner approval are recorded.
  2. Log aggregate diagnostics only, verify suppression and contacts_exported=0, and reject requests that contain credentials or contact-level data.
  3. Test one canary workflow at a time; halt on scope, policy, quota, or retention drift and restore the known-good configuration.
  4. Delete staged data and revoke temporary credentials after collecting the redacted receipt.

Output

Produce a local-test receipt with environment, mock/integration mode, fixture classification, aggregate result/error counts, suppression/no-export checks, approver, cleanup result, and rollback reference. Exclude requests, identities, and keys.

Examples

env=local; mode=mock; fixture=synthetic; requests=5; suppression=pass; contacts_exported=0; cleanup=verified is a valid development check.

Resources

Next Steps

See juicebox-debug-bundle.

Signals

GitHub stars
3k
Forks
415
Last commit
Oct 2026

Ahel review

  • K1binfo
    installs-packages

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Item type
skill
Key
juicebox-local-dev-loop
Source
github.com/jeremylongshore/tons-of-skills-marketplace