For working engineers · 2–6 years experienceFor working engineers

MAANG level interview prep,
built for working engineers.

Two AI mentors. Sprint-structured DSA and system design. A clear report after every sprint.

First sprint freeNo credit cardCancel anytime

levelop.dev / mission
× N sprints
levelop
You
today
Sprint
1 coding pattern + 1 system design problem
Orion
Coding
Aurora
Design
Report
Score · fixes
Interview-Ready
Top-tier companies
levelop.dev / mission
You
today
levelop start
Sprint
1 pattern + 1 system
× N sprints
Orion
Coding AI
Aurora
Design AI
Report
Score · weak patterns · fixes
Interview-Ready
Top-tier companies
Why Most SDE Prep Fails

The gaps no one talks about.

Features

Three surfaces. One sprint loop.

Orion makes you confront your code. Aurora teaches you the system. Reports tell you what to fix next.

01/Orion · Coding AI

Wrong code?
Your mission just started.

Most platforms show you a red X and let you move on. Orion turns it into the most valuable moment in prep.

  • 1Submit the failing code. Orion catches it the moment your code fails.
  • 2See the galaxy of related patterns your gap maps to.
  • 3Reconstruct the fix yourself. Guided activities until the pattern is muscle memory.
Live demo · Step 1 of 4
twoSum.pyTime Limit Exceeded
def two_sum(nums, target):
    # brute force, O(n²)
    for i in range(len(nums)):
        for j in range(i+1, len(nums)):
            if nums[i] + nums[j] == target:
                return [i, j]
Live demo · Step 1 of 4
▸ Click orb to begin
Concept · Functional Requirements

Where do you start when designing a URL shortener?

Most engineers jump to databases or load balancers. Aurora walks you through the foundation first. Click the orb to hear her explain.

02/Aurora · System Design AI

Aurora speaks before
you touch the canvas.

40 hours of YouTube doesn't build the mental model. A live conversation does. Aurora walks you through the concept first, then asks the questions that prove you got it.

  • 1Click the orb. Aurora opens with the concept you need before you touch the canvas.
  • 2She speaks. You hear the foundation in plain language, not a 40-minute video.
  • 3A checkpoint question. Pass it, the canvas unlocks. Miss it, she rewinds.
03/Sprint Reports

Every sprint closes with
a report you can act on.

Effort without a feedback loop is just time spent. Reports score coding, system design, and behavioural delivery, then rank the gaps your next sprint should target.

  • 1At set 7, your sprint closes. The AI audits every move.
  • 2You get a behavioural archetype, three audit scores, and the red flags hiding in your process.
  • 3Your next sprint targets the exact gaps. The loop tightens every time.

A sample report

Sprint 12 · Just closed
Arrays & Hashing
Auto-generated
Overview
Sprint score +12 vs. last sprint
54%Overall
Last 8 sprints32 → 54
NOW
  • 7 / 7Sets
  • 6.4hTime on task
  • +1,240XP gained
Technical Audit
Code Intelligence79%
L4 · Software Engineer II fit
  • Exceptional implementation fluency. Zero-syntax-error runs once coding begins.
  • Approach Clarity 40%. Time-to-first-execution stretched to 98 min on medium tasks.
Velocity BoostPractice "Skeleton Coding": write loop structures and return types in 5 min, then fill in logic.
Architecture
System Design41%
3 components scored
ComponentFunctional35
ComponentNon-functional45
ComponentCapacity-est.43
Psychometric Profile
Behavioural DNA
Archetype: The Contemplative Architect
Implementation FluencyHigh
Planning ClarityLow
IndependenceHigh
Iterative ValidationLow
Major
Architectural Stagnation
Scores 0 on canvas activity despite deep textual reasoning.
Early access

Free for the first 100 engineers.
As long as you actually use it.

This isn't a giveaway. Use Levelop regularly, finish your sprints, check your reports, and your access stays free until launch. Stop showing up, and your spot opens up for the next engineer. We want the first 100 to be people who'll actually use the product.

  • Made for 2-6 years of experience
  • Stay active to stay free
  • No credit card
OutcomeAn SDE job, earned, not promised.
FAQ

Frequently Asked Questions