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Build an MVP with AI Coding Tools

BeginnerWorkshopAll learners

Published Wed, Jun 10, 2026 · 1:19 PM GMT+5:30Updated Fri, Jun 12, 2026 · 6:12 PM GMT+5:3025 min read

AI coding tools compress the path from idea to working prototype - if you scope ruthlessly and verify constantly. This workshop guide walks through problem framing, stack selection, pair-programming patterns with AI, testing habits, and what to demo on day one.

Apply mental models in a live program

Each track turns frameworks into hands-on projects, mentor feedback, and a capstone demo - pick the path that matches your role.

AI training for school students

School Students track

An 8-day student-friendly program that helps school students understand AI, apps, and the digital world through fun analogies, safe tool use, and hands-on mini projects.

8 days · 2 phases

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AI course for college engineers

College Engineers track

A 10-day intensive program for engineering students who want deep intuition for AI systems, hands-on API projects, and portfolio-ready work for internships and interviews.

Verified learning path

This workshop connects to live Verlin Labs programs - not generic AI content. Apply these frameworks in a cohort with mentor feedback and a capstone demo.

Tools referenced in Verlin Labs programs: Claude · Replit · ChatGPT. Covered hands-on in live sessions - not affiliate links.

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MVPEngineeringProductBest practices

Scope the smallest demo

Pick one user action that proves value: sign up, submit a form, see a result. Cut integrations, admin panels, and pixel-perfect design for v0. Write a one-paragraph spec and a five-item acceptance checklist before opening the IDE.

AI tools generate code faster than they generate correct requirements - your clarity is the bottleneck.

Stack and workflow

Choose boring, well-documented stacks (Next.js, Supabase, Vercel) so the model has training signal. Work in small slices: generate, run, test, commit. Ask AI to explain diffs, not just dump files. Never merge code you cannot explain in a sentence.

Keep a running TEST.md of manual checks.
Use type systems and linters - they catch AI mistakes cheaply.
Store API keys in environment variables, never in chat prompts.

Demo day discipline

Record a two-minute walkthrough of the happy path. List known bugs openly. Stakeholders fund learning from demos that show real clicks, not slide decks. Plan the second sprint based on what broke during the demo.

Key takeaway

AI coding tools multiply execution speed - not product judgment. Narrow scope, verify each slice, and demo real clicks; that is how MVPs become learning engines instead of fragile demos.

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Product Managers track

A 16-day intensive program designed for Product Managers who want to master AI tools, lead product discovery, build MVPs with vibe coding, and launch growth-ready products.

16 days · 4 phases

72% off

₹6,999

List price ₹24,999

Introductory offer · You save ₹18,000

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Not sure which track fits? Start with a free 2-hour session or read our guide How to learn AI for product management.