Interview Bank
328 questions total; 1 shown with current filters.
CourseAllFrom Frontend Engineer to Agent Engineer in 30 DaysPrompt Engineering From Scratch in 5 DaysMastering Claude: From Conversation to Claude Code in 5 DaysMastering Codex and the OpenAI Agents SDK in 5 DaysMCP in 7 Days: Wire Tools Into Any AgentAgent Skills in 7 Days: Turn Experience Into Reusable CapabilityContext Engineering in 5 DaysRAG in 14 Days: From Retrieval to Trustworthy AnswersBuild an AI Short-Drama Production Pipeline With Agents in 14 Days
Tag
All#decision-making1#evaluation30#cost29#reliability24#architecture22#agent-skills21#security18#observability15#streaming12#error-handling11#idempotency10#system-design10
362 more tagsShow fewer tags
#api-design9#coding-agent9#distributed-systems8#multi-agent8#rag8#chunking7#debugging7#pipeline-design7#structured-output7#agent-loop6#mcp6#operations6#prompt-injection6#sse6#tool-calling6#tool-design6#context5#context-engineering5#deployment5#embeddings5#hybrid-search5#message-bus5#scheduling5#system-prompt5#agentic-rag4#behavioral4#client4#concurrency4#consistency4#framework-design4#ingestion4#prompt-engineering4#rate-limiting4#retrieval4#routing4#trade-offs4#abstention3#agents-sdk3#caching3#communication3#context-window3#cost-control3#data-quality3#failure-modes3#image-generation3#interview-prep3#langgraph3#latency3#llm-as-judge3#llm-basics3#long-context3#model-migration3#model-routing3#orchestration3#ordering3#progressive-disclosure3#prompt-basics3#prompt-caching3#protocol3#provider-abstraction3#ranking3#recall3#redis-streams3#responses-api3#resume3#retry3#runtime3#scalability3#skills3#state-management3#statelessness3#subagents3#timeline3#versioning3#workflow-engine3#access-control2#agent-design2#async-task2#auth2#checkpointing2#citation-verification2#citations2#claude-md2#code-review2#compaction2#context-rot2#contextual-retrieval2#cost-tradeoff2#data-modeling2#database2#distribution2#fallback2#ffmpeg2#golden-set2#grounding2#interview-process2#long-term-memory2#media-pipeline2#memory2#multi-hop2#multi-tenancy2#oauth2#prioritization2#project-storytelling2#prompt-techniques2#query-rewriting2#react2#refusal2#reproducibility2#rerank2#retrieval-quality2#retrospective2#scripts2#sharding2#state-machine2#tool-permissions2#tooling2#tools2#tracing2#transport2#tts2#ux2#vector-database2#verification2#workflow2#agent-basics1#agent-quality1#agent-sdk1#agents-md1#altitude1#analytics1#approvals1#architecture-review1#async1#atomicity1#attention-budget1#av-sync1#backoff1#bi-encoder1#bm251#budget-control1#build-vs-buy1#cancellation1#candidate-selection1#capacity-planning1#career1#chain-of-thought1#ci1#circuit-breaker1#claude-code1#cli-design1#client-integration1#cloud1#compliance1#compression1#configuration1#confused-deputy1#consistent-hashing1#content-hash1#content-safety1#context-assembly1#context-compression1#context-management1#copyright1#coreference1#correctness1#cost-accounting1#cost-analysis1#cost-optimization1#cross-encoder1#cross-model1#customer-support1#dag1#decomposition1#degradation1#deliberate-practice1#design1#diagnostics1#dimensions1#docker1#documentation1#embedding-migration1#encoding1#engineering-judgement1#engineering-tradeoffs1#error-propagation1#escalation1#eval1#event-driven1#evidence1#failure-analysis1#fairness1#faithfulness1#fan-out1#feedback-loop1#fencing-token1#few-shot1#filter-pushdown1#filtering1#fine-tuning1#forking1#four-elements1#framework-selection1#frontend1#global-market1#graph-rag1#guardrails1#hallucination1#handoff1#handoffs1#headless1#hnsw1#hooks1#human-in-the-loop1#hybrid1#hyde1#incremental-recompute1#incremental-sync1#index-maintenance1#index-routing1#indexing1#information-retrieval1#instruction-hierarchy1#integration1#intent-routing1#interrupt-merge1#invalidation1#isolation1#iterative-scan1#ivfflat1#json-parsing1#json-schema1#just-in-time1#jwt1#knowledge-organization1#labeling1#latency-budget1#lease1#least-privilege1#llm-output-quality1#long-session1#loop-guard1#maintenance1#mcp-basics1#mental-model1#messages-api1#metadata1#methodology1#metrics1#migration1#mobile1#model-selection1#moderation1#modularity1#multi-turn1#multimodal1#nodejs1#normalisation1#notifications1#ocr1#offline-testing1#openai1#overlap1#pagination1#parent-child1#pdf-parsing1#performance1#permissions1#persistence1#pgvector1#pipeline-reliability1#portfolio1#primitives1#priority-queue1#proactive-messaging1#product-engineering1#production-readiness1#prompt1#prompt-assembly1#prompt-bloat1#prompt-design1#prompt-limits1#prompt-surface1#prompt-template1#prompt-versioning1#prompting1#protocol-versions1#quality1#quality-check1#quantization1#query-transformation1#quiet-hours1#rag-basics1#rank-fusion1#reasoning1#reconnect1#redis1#reflection1#replay1#reporting1#retrieval-failure1#retrieval-metrics1#retry-semantics1#retry-strategy1#review1#risk-assessment1#rollback1#rollout1#rrf1#safety1#sampling1#sandbox1#sandboxing1#scaling1#schema-design1#schema-validation1#scoping1#secrets-management1#self-assessment1#self-introduction1#self-presentation1#self-reflection1#server-design1#service-architecture1#session-management1#sessions1#similarity1#skill-authoring1#skill-description1#skill-design1#spec1#split-brain1#stakeholder-communication1#star1#state-persistence1#stateless1#stdio-transport1#stopping-criteria1#storytelling1#subagent1#subscriptions1#subtitles1#task-graph1#team-governance1#test-set1#test-strategy1#testing1#thresholds1#timezone1#token-accounting1#token-budget1#tool-budget1#tool-execution1#tool-naming1#tool-schema1#trust-boundary1#tuning1#validation1#vector-index1#workflow-design1#xml-tags1#zero-downtime1
Mastering Codex and the OpenAI Agents SDK in 5 Days
D5 Choosing and Combining Claude and Codex: A Real Side-by-Side on the Same Task, a Write-One-Review-One Mixed Workflow
Your team must pick between two coding agents. How do you propose a comparison that teammates can both understand and verify?团队要在两家 coding agent 之间选一个,你怎么给出一套可以向团队解释、也能被验证的对比维度?
Common in ChinaCommon overseasIntermediate#coding-agent#evaluation#decision-makingHow to reason about it · think before answering
- This tests methodology, not a verdict; leading with 'I prefer X' signals weak engineering judgment. Show how you make the comparison reproducible.
- Give the dimensions: instruction effort (prompt and instruction-file size), approvals (how many interruptions and why), verification (does it run tests unprompted, what happens on red), cost (time, tokens, money). All are measurable in your own repo.
- State the preconditions for comparability: same starting commit, identical requirement text, identical instruction-file content, default permissions, and 'run tests before reporting' on both sides.
- Then the reading order: check comparability, then structural differences (permission model, placement and wording of rules), and only then capability differences, which need several runs and a median.
- For the team: label every differing row as 'workflow' or 'capability'; workflow gaps are closed by configuration, capability gaps drive the choice.
- Expect the follow-up: why not benchmarks? They score standard problems with one number, while teams change legacy repos and care about four dimensions.
分析过程 · 先想清楚再作答
- 这题考的是方法论而不是结论。上来就说「我觉得 X 好」会被判为没有工程判断;面试官想听的是你怎么让比较可复现。
- 先给维度:交代(写多少需求、准备多少说明文件)、审批(中断几次、为了什么)、验证(是否主动跑测试、红了怎么办)、成本(时间、token、钱)。这四项都能在自己的仓库里量出来。
- 再给可比性的前置条件:同一个起点 commit、同一段需求文字、说明文件同内容、默认权限、都要求跑完测试再汇报;有一项不同,差异就说不清来源。
- 然后是读数的顺序:先查可比性,再看结构性差异(权限模型、说明文件的位置与措辞导致的行为差别),最后才看能力差异,而且能力差异要多次运行取中位数。
- 落到团队沟通:报告里每一行差异都标「来自工作方式还是能力」,工作方式的差异靠配置弥补,能力差异才影响选型。
- 可预期的追问:榜单为什么不够?榜单测标准题,团队干的是有历史包袱的仓库里的改动,且榜单只给一个分数、不给四个维度。
Key points
- Four measurable dimensions: instruction effort, approvals, verification, cost, all measured in your own repo
- Comparability first: same commit, same prompt, same instruction file, default permissions, tests required
- Read in order: comparability, structural differences, then capability, with medians over several runs
- Label each gap as workflow or capability; only capability gaps should drive the decision
答题要点
- 四个可量维度:交代、审批、验证、成本,全部在自己仓库里测
- 可比性前置:同起点、同需求、同说明文件、默认权限、都要求跑测试
- 读数顺序:可比性、结构性差异、能力差异;能力差异要多次运行取中位数
- 每行差异标「工作方式还是能力」,前者靠配置弥补,后者才决定选型