I froze on syntax I genuinely use all the time but never type manually.
Start by clarifying the problem and constraints with the interviewer, then outline your approach in plain English before writing any code. Write clean, modular code with meaningful variable names, and test with a few examples to catch edge cases.
Pro tip: Narrate your thought process continuously and ask clarifying questions—interviewers evaluate your problem-solving and communication as much as the final code. If you get stuck, simplify the problem or state your assumptions and proceed.
Ask clarifying questions to define inputs, outputs, constraints, and edge cases. Confirm your understanding with the interviewer before proceeding.
Describe your algorithm in plain English, including data structures and time/space complexity. Get buy-in before writing code.
Implement the solution with clear structure, meaningful names, and comments. Write legibly and leave space for corrections.
Walk through your code with a simple example, then test edge cases. Fix any bugs and explain your reasoning.
Discuss potential optimizations, trade-offs, and alternative approaches. Summarize the solution and its complexity.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.