FSFrontend School
FAANG PrepQuestionsPricingSuccess StoriesCommunitySupport
FAANG PrepQuestionsPricingSuccess StoriesCommunitySupport
FSFrontend School

AI Frontend Interview Simulator for FAANG and product companies.

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FAANG Prep Guide

FAANG Frontend Interview Prep

Structured simulation tracks mapped to how Google, Meta, Amazon, Apple, and Netflix evaluate frontend engineers. Practice with rubric-based scoring and actionable coaching reports.

Start Practicing FreeTry a ProblemBuy Credits

Practice for roles at

GoogleMetaAmazonAppleNetflixMicrosoftStripeAirbnbGoogleMetaAmazonAppleNetflixMicrosoftStripeAirbnb

4–8 weeks

Typical prep cycle

4 tracks

Covering JS, React, System Design, Behavioral

Rubric-based

Scoring on every answer

AI coaching

Personalized gap reports

Try a real problem — free

Experience the full platform loop: AI-generated problem, real workspace, rubric-based evaluation. No plan required.

How the prep cycle works

A repeatable loop that turns raw weak spots into interview-ready answers.

1

Run a baseline simulation

Complete an end-to-end interview round to get your starting score and identify weak spots across all tracks.

2

Get a coaching report

AI generates a prioritized list of improvements with specific actions for each gap, ranked by impact.

3

Practice targeted rounds

Focus on your exact weak areas with domain-specific sessions. Each answer is rubric-scored with line-level feedback.

4

Iterate until ready

Re-run simulations to track score progression. Most candidates see clear improvement within 2–3 focused weeks.

Built for the full frontend interview loop

Most prep tools cover one part of the loop. FAANG frontend interviews test four distinct areas — each evaluated differently.

Rubric scoring, not vibes

Every answer is graded against a structured rubric — depth, clarity, correctness, and communication. You see exactly where you lost points.

FAANG-mapped question sets

Questions are calibrated to L4–L6 evaluation bars at Google, Meta, and Amazon — not generic trivia pulled from Glassdoor.

Coaching reports, not just scores

After each simulation, AI generates a ranked list of skill gaps with concrete prep actions, not just a number to stare at.

All four interview types covered

JS/TS, React architecture, frontend system design, and behavioral — the full loop, not just LeetCode-style coding problems.

Practice at interview pace

Sessions are timed and formatted like real panels. You're expected to reason out loud, not just get the right answer quietly.

Company-targeted prep tracks

Filter practice by company style. Google weighs system design heavily; Amazon focuses on behavioral depth. Prep accordingly.

What structured prep gives you

Measurable prep, not vibes

Rubric-based scoring on every answer turns 'I think I'm ready' into a concrete number you can watch improve session over session.

Know what to fix first

Each coaching report ranks your skill gaps by impact, so your study time goes to the weak spots that actually move your score.

Familiar by interview day

Practicing full FAANG-style rounds end to end means the real onsite feels like a familiar flow instead of a surprise.

Community

Discuss FAANG prep strategies with 1,000+ engineers

Our Discord has dedicated channels for each track — JS/TS deep dives, React architecture questions, system design diagrams, and behavioral story reviews. See what others are practicing for the same companies you're targeting.

  • #js-typescript
  • #react-architecture
  • #system-design
  • #behavioral-rounds
  • #google-prep
  • #meta-prep
Join Discord — Free

No plan required

Frequently asked questions

Is this only for FAANG companies?
No. The evaluation rubrics are calibrated to FAANG bars, which are the most rigorous in the industry. If you can pass a FAANG-style round, you're well-prepared for any frontend interview. The tracks work equally well for product companies, unicorn startups, and mid-stage scale-ups.
What seniority level is this designed for?
The content is primarily calibrated for L4 (mid-level) through L6 (senior/staff) equivalent roles. The JS and React tracks work well at L3+ too, while system design and advanced behavioral rounds are most relevant from L5 upward.
How is this different from LeetCode or Pramp?
LeetCode focuses on data structures and algorithms — a small slice of the frontend interview. Pramp is peer practice with no structured feedback. Frontend School covers the full frontend interview loop (JS, React, system design, behavioral) with AI rubric-based scoring and coaching reports after every session.
How many practice sessions does it take to see improvement?
Most candidates see measurable score improvement after 3–5 focused sessions in their weak areas. The coaching report after your first baseline simulation usually narrows this down to 1–2 priority tracks.
Can I practice behavioral rounds here?
Yes. The behavioral track covers STAR-format storytelling, conflict resolution, ownership narratives, and leadership signals. Each answer is evaluated on structure, specificity, and the quality of the outcome you describe.
Is there a free tier?
Yes — you can practice DSA rounds on the free plan and receive an AI feedback summary after each session. Full simulations, coaching reports, and all four tracks are available on paid plans.

Start your FAANG prep today

Practice DSA rounds free, or buy credits to unlock full simulations, all four tracks, and personalized coaching reports. No setup required.

Start Free PracticeBuy Credits

Try a real problem — free

Experience the full platform loop: AI-generated problem, real workspace, rubric-based evaluation. No plan required.

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