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Interview Prep
April 3, 2026
14 min read

The Ultimate Coding Interview Preparation Checklist for 2026

The 2026 Coding Interview Landscape

Technical interviews in 2026 look different than they did two years ago. AI-enabled formats (pioneered by Meta), increased emphasis on system design, and the normalization of AI tools have shifted what companies actually evaluate. This checklist reflects the current state of technical hiring.

Phase 1: Data Structures & Algorithms (2 Weeks)

Week 1 — Core Patterns

  • ☐ Arrays & Strings: Two pointers, sliding window
  • ☐ Hash Maps & Sets: Frequency counting, grouping
  • ☐ Stacks & Queues: Monotonic stack, BFS with queues
  • ☐ Binary Search: Standard, rotated arrays, search space
  • ☐ Linked Lists: Reversal, cycle detection, merge
  • ☐ Trees: DFS (pre/in/post order), BFS (level order)

Week 2 — Advanced Patterns

  • ☐ Graphs: DFS, BFS, topological sort, union-find
  • ☐ Dynamic Programming: 1D DP, 2D DP, memoization
  • ☐ Heaps: Top-K problems, merge K sorted lists
  • ☐ Backtracking: Permutations, combinations, N-Queens
  • ☐ Greedy: Interval scheduling, activity selection
  • ☐ Tries: Prefix search, word search

Target: Solve 75–100 problems across these patterns. Focus on understanding the pattern, not memorizing solutions.

Phase 2: System Design Fundamentals (1 Week)

  • ☐ Scalability concepts: Horizontal vs vertical scaling, load balancing
  • ☐ Database design: SQL vs NoSQL trade-offs, sharding, replication
  • ☐ Caching: Redis, Memcached, cache invalidation strategies
  • ☐ Message queues: Kafka, RabbitMQ, pub/sub patterns
  • ☐ CAP theorem: Consistency, availability, partition tolerance
  • ☐ Practice designs: URL shortener, chat app, news feed, rate limiter

Phase 3: Behavioral Interview Prep (3 Days)

  • ☐ STAR method: Situation, Task, Action, Result framework
  • ☐ Leadership principles: Prepare one story per principle (Amazon style)
  • ☐ Conflict resolution: Team disagreements, technical decisions
  • ☐ Failure stories: What you learned, how you recovered
  • ☐ Achievements: Quantified impact, specific contributions
  • ☐ Questions to ask: Prepare 5–7 thoughtful questions per company

Phase 4: AI Tools Setup (1 Day)

In 2026, AI tools are part of your interview toolkit. Set up and practice:

  • ☐ Install InterviewCodeAssist and test on your target platforms
  • ☐ Practice keyboard shortcuts: ⌘S (screenshot), ⌘Return (analyze), ⌘R (voice)
  • ☐ Test dual AI modes: Coding mode for algorithms, General mode for design/behavioral
  • ☐ Verify undetectability: Test screen sharing with a friend while using the tool
  • ☐ Practice voice input for quick problem transcription
  • ☐ If interviewing at Meta: Familiarize with CoderPad AI sidebar workflow

Phase 5: Mock Interview Practice (1 Week)

  • ☐ At least 5 mock coding interviews (timed, no hints)
  • ☐ At least 2 mock system design interviews
  • ☐ Record yourself — watch your explanation clarity
  • ☐ Practice with AI tools as you'd use them in the real interview
  • ☐ Get feedback from peers or use platforms like Pramp

Phase 6: Interview Day Checklist

The Night Before

  • ☐ Review your cheat sheet of common patterns (not solving problems — just reviewing)
  • ☐ Test InterviewCodeAssist is working and updated
  • ☐ Test your webcam, microphone, and internet connection
  • ☐ Prepare your workspace — good lighting, clean background, quiet environment
  • ☐ Sleep 7–8 hours

Interview Day

  • ☐ Log in 5 minutes early
  • ☐ Have InterviewCodeAssist ready but not visible on shared screen
  • ☐ Read each problem completely before starting
  • ☐ Ask at least 2 clarifying questions before coding
  • ☐ Think out loud throughout — interviewers evaluate your process
  • ☐ Always discuss time/space complexity at the end

FAQ

Q: How long should I spend preparing for a FAANG interview?
6–8 weeks of focused preparation is the standard recommendation. This checklist covers the core content in about 4–5 weeks, leaving 1–2 weeks for intensive mock interview practice.

Q: Should I start with easy, medium, or hard LeetCode problems?
Start with easy to build pattern recognition, then move to medium (the most common interview difficulty). Hard problems are rarely asked — focus on doing medium problems consistently rather than grinding hards.

Q: How important is knowing the complexity analysis?
Critical. Always state the time and space complexity of your solution. Interviewers at top companies almost always ask — not knowing it signals incomplete understanding.

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