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Clean Code and Best Practices Questions

Covers the principles and hands on practices that produce readable, maintainable, and reliable code. Core elements include intent revealing and consistent naming, small focused functions and classes that follow single responsibility, avoiding duplication through refactoring and appropriate abstractions, clear structure and separation of concerns, following language specific idioms and style guides, consistent formatting, concise comments that explain nonobvious intent, defensive programming and robust error handling, edge case handling and input validation, use of linters and static analysis, incremental refactoring techniques, and pragmatic trade offs between ideal design and delivery constraints. Interviewers will also probe involvement in code reviews, version control hygiene, code metrics, and how candidates advocate for and teach coding standards to peers.

MediumTechnical
73 practiced
A product manager asks you to remove redundant discount calculation code across three services. Propose an incremental refactor plan to centralize the calculation into a library or service without breaking existing behavior. Include testing, rollout, feature flagging, and rollback considerations.
HardTechnical
86 practiced
Design heuristics and a prototype plan for an automated tool that detects 'feature envy' and 'shotgun surgery' code smells in a large repository by analyzing code structure and change history. Describe the signals you would use, thresholds, and how to validate and tune false positives.
EasyTechnical
65 practiced
You are reviewing a small Python helper that uses terse names and no docstring. Refactor the snippet below to use intent-revealing names, add a concise docstring, and explain your naming choices: def p(a, b): # multiply only when b positive, else zero return a * b if b > 0 else 0. Provide the refactored code and a short justification for each renamed symbol and behavior.
HardTechnical
88 practiced
Define a cross-service exception/error handling strategy for a microservice architecture that maps internal exceptions to API responses, preserves observability, and avoids leaking internal state to clients. Provide a sample error envelope (JSON) and describe how to implement it idiomatically in a language of your choice.
HardSystem Design
87 practiced
You must design a typed public API for services communicating across languages. Propose a contract strategy that supports schema evolution, defaulting, and backward compatibility. Discuss using Protobuf/Avro vs JSON, how to version schemas, and migration strategies for consumers.

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