X engineering interviews still expect strong DSA and systems sense for many roles. Prep coding seriously; culture questions vary by team.
What actually rejects people
Outdated ‘Twitter easy’ myths - expect real coding bars.
First round: X (Twitter) coding interviews
Time split that matches how candidates report outcomes (not a marketing pie chart):
DSA 50%
CS + projects 25%
Behavioral 15%
Mocks 10%
Patterns are from student reports and vary by role and drive. Trust your college placement email over blog folklore.
Stage
Time
What they check
Screens
timed
Coding
Loops
multiple
DSA/systems + behavioral
Data Structures & Algorithms (40% time) - Master arrays, strings, trees, graphs, dynamic programming, practice 200+ LeetCode problems
System Design (25% time) - Learn distributed systems, scalability, databases, caching, load balancing
Coding Practice (20% time) - Solve medium-hard problems on LeetCode, HackerRank, focus on optimization
CS Fundamentals (10% time) - Review OOP, DBMS, OS, Networking basics
Behavioral Preparation (5% time) - Prepare for HR and behavioral rounds
One timed block that matches X (Twitter)’s first round (coding OA)
Log misses: topic + why you failed (speed, concept, carelessness)
Re-solve yesterday’s misses cold
Twice a week: 10 minutes of resume/project narration out loud
Week
Focus
Exit criteria
1-2
Core DSA (arrays, hashing, strings)
Timed easy→medium comfort
3-4
Trees, graphs, recursion
Explain traversals + complexity
5-6
DP + company-flavored mocks
2-problem mock passes
7
Projects + CS fundamentals
Resume bullets defended
8
Behavioral + polish
No new topics; only closure
Order problems by confidence after a 3-4 minute skim
Passing test cases beats a brilliant half-solution
Invent edge cases before submit; watch timeboxes
Restate → brute force → optimize → code → test
Defend edge cases and code clarity.
Tie CS answers to a project when it strengthens the point
Why X (Twitter), why this team/role, location flexibility
STAR with a metric; pick 2-3 real company values and prepare proof
Medium-hard DSA
Distributed systems basics for experienced tracks
Medium DSA fluency
Clean code + edge cases
OOPs + DBMS basics
Measurable project stories
Domain scenarios for this product
API/design intuition at fresher depth
Full-length mock every other day
Light revision only - no new rabbit holes
Sleep, ID proofs, machine/network checklist for test day
30 days out: weekly full OA-style mocks; close weak DSA patterns; draft STAR stories.
7 days out: alternate mock / review days; re-solve misses cold; no new patterns.
Day before: skim notes, check machine/network/ID logistics, sleep.
Outdated ‘Twitter easy’ myths - expect real coding bars - fix this first
Preparing only interviews while failing X (Twitter)’s first round
Collecting notes without timed mocks
Listing five frameworks on the resume and defending none
Changing language/stack one week before the drive
Domain buzzwords without engineering reasoning
Google · Meta · Amazon · Microsoft · Apple · Netflix
Next step: Run one timed mock this week that matches X (Twitter)’s first round (coding OA), then build the weeks around your weakest section - not around what is most fun to study.