Agent Team Ships MVP in 30 Minutes
Category: dev-team Role: Tech Lead / Full-stack Developer Industry: SaaS / Tech Startup Task: Rapid Prototyping, MVP Development Date: 2026-02-09
Scenario
Who: A tech lead at an early-stage startup who needs to quickly validate a product idea.
Problem: Building an MVP traditionally requires coordinating multiple roles (PM for PRD, architect for tech design, frontend and backend developers for implementation). This takes days or weeks, even for a small prototype.
Solution: Using Zylos AI Agent Team, spin up 4 specialized agents that work in parallel — PRD Writer, Tech Architect, Frontend Dev, Backend Dev — to deliver a complete MVP in under 30 minutes.
Demo / Walkthrough
Step 1: Give the instruction
Tell your AI team: "Set up an agent team to handle product design and ship the MVP."
The system automatically spins up 4 agents:
- Agent 1 → PRD Writer
- Agent 2 → Tech Architect
- Agent 3 → Frontend Dev (Chrome Extension)
- Agent 4 → Backend Dev (API Server)
Step 2: Agents work in parallel
Design phase runs first (PRD + Tech Design in parallel), then implementation phase kicks off automatically with dependency management.
Step 3: MVP delivered
30 minutes later, you have:
- PRD v1.0 — 12 sections
- Technical Design — 10 sections
- Chrome Extension — 18 source files (Manifest V3)
- Backend API — 10 source files (Fastify + SQLite + AI pipeline)
Key Metrics
| Metric | Before | After |
|---|---|---|
| Time to MVP | 1-2 weeks | 30 minutes |
| Team size needed | 4 people | 1 person + 4 AI agents |
| Documents produced | Variable | 2 complete docs + 28 source files |
Social Media Copy (Posted 2026-02-09)
English (X/Twitter Thread — Posted on @CocoAIxyz):
Tweet 1 (with video):
Our team lead dropped a product idea yesterday. Instead of saying 'let's plan a sprint,' we tried something different.
We spun up 4 AI agents as a dev team. 30 minutes later: working code.
Tweet 2:
- Agent 1: Wrote a 12-section PRD from a rough concept
- Agent 2: Designed the technical architecture (10 sections)
- Agent 3: Built a Chrome Extension (18 source files)
- Agent 4: Built the Backend API (10 source files)
Tweet 3:
Dependencies were automatic -- Agents 3 & 4 waited for 1 & 2 to finish, then started in parallel.
The part that surprised me: the agents handed off context to each other. The frontend agent read the PRD and tech spec before writing a single line.
Tweet 4:
Just like onboarding a real developer.
AI won't replace your dev team. But it might become the best first draft machine you've ever had.
#DevLife #AIAgents #BuildInPublic
Published URL: https://x.com/CocoAIxyz/status/2020878017153978730
Assets
- Video:
agent-team-video-v4.mp4(36s, 1080x1920, yellow COCO brand theme) - Video URL: https://zylos100.jinglever.com/agent-team-video-v4.mp4
- Chat mockup:
../../assets/mockups/agent-team-chat-mockup.png - SF index (EN): screenshot of https://zylos100.jinglever.com/docs/sf/index-en.md