Develow
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Become a $200k+ Product Engineer in 90 days using AI

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Develow IDE — Shopping Cart I⏱ 12:40
cart.pystore.py
11·def apply_discount(self, code):
12· rule = self._lookup(code)
13· return self.total - rule.amount
14·
15·
16·
Failing8 / 12 tests passed

Use AI on every major stack

ReactReact
Next.jsNext.js
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TypeScriptTypeScript
PythonPython
FastAPIFastAPI
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MongoDBMongoDB
GraphQLGraphQL
GoGo
DockerDocker

The interview has changed

The new FAANG interview process

Landing a software role used to mean a computer science degree and years of formal education. Not anymore. Tech now hires on one thing: proficiency in the exact stack the team is building on.

How it used to work

Degrees & credentials

    A computer science degree
    Years of formal education
    Expensive certifications

The old gatekeeping

How it works now

Proven proficiency

    Proficiency in their exact stack
    Build real features end-to-end
    Debug and ship working software
    Use AI effectively

This is all you need

Tech doesn't require a degree anymore — just proficiency in the exact stack companies are hiring for.

Free download

Get the FAANG question banks — free

Real full-stack product engineering problems from Amazon, Google, Microsoft and more. Drop your email and we'll send them over.

No spam. Unsubscribe anytime.

Why Develow exists

Real engineering isn't isolated puzzles

Traditional prep drills puzzles in isolation. Real engineering means shipping software — so that's what you practice, and it maps directly to what gets you hired:

Build the front-end skills interviews actually test
Learn the backend fundamentals hiring managers expect
Design APIs and databases like a working engineer
Connect full-stack systems the way real products do
Debug production issues under realistic pressure
Use AI coding tools the way modern teams expect
Ship production-ready software you can show off
Navigate real codebases with confidence

A structured path

Your 90-day roadmap

  1. 1
    Month 1Day 1

    Foundations

    Learn the fundamentals of modern product engineering — frontend, backend, database, security, and Docker. Build confidence through guided exercises and curated learning paths.

  2. 2
    Month 2Day 30

    Product Engineering

    Move beyond tutorials. Build features, connect services, and design systems — learning how software is actually developed inside modern technology companies.

  3. 3
    Month 3Day 60

    Interview Preparation

    Practice realistic full-stack assessments and product-focused challenges. Walk into interviews knowing you've already solved similar problems.

Not a text editor

Develow IDE

Most interview platforms give you a text box. Develow gives you an engineering workspace — because that's how you'll be evaluated on the job.

📦

Real projects

Open runnable full-stack repos, not snippets — across React, Node, Python, SQL and more.

🧪

Run the tests

Execute the suite, watch it go red and green, and prove your fix actually works.

🐛

Debug applications

Trace a broken feature from the UI through the API to the database and ship the fix.

🗂️

Production-style codebases

Navigate realistic project structures the way engineers do every day.

🤖

AI tools in the loop

Use an AI pair the same way modern engineers do — to move faster, not to cheat.

⏱️

Timed, scored reps

Submit under realistic conditions and get scored on correctness, approach, and speed.

The best job in tech

The only job where you use AI for everything

Product engineering is the best seat in tech right now: you get to use AI for almost everything — but only if you know the fundamentals well enough to direct it, verify it, and ship with confidence. That's exactly what you practice here.

1

Understand

Know the fundamentals well enough to read the problem and the codebase first.

2

Use AI for everything

Let AI do the heavy lifting — you direct it toward what actually matters.

3

Verify

Run the tests and confirm the solution holds up — because you know what correct looks like.

4

Ship with confidence

Submit production-ready work — and know exactly why it's right.

Real world problems

Join a community of engineers who worked at

GoogleAmazonShopifyMicrosoft

Logos reflect where community members have worked. Not an endorsement by these companies.

500+
Real-world problems
100+
Hours of curated content
8+
Top tech stacks covered

Pricing

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Master full-stack development with AI and become a Product Engineer in 90 days.