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#cloud1#evaluation30#cost29#reliability24#architecture22#agent-skills21#security18#observability15#streaming12#error-handling11#idempotency10#system-design10
359 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#compression1#configuration1#confused-deputy1#consistent-hashing1#content-hash1#content-safety1#context-assembly1#context-compression1#context-management1#coreference1#correctness1#cost-accounting1#cost-analysis1#cost-optimization1#cross-encoder1#cross-model1#customer-support1#dag1#decision-making1#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#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
D2 Codex, Level Up: Cloud Tasks, Code Review, MCP Integration, Custom Instructions, IDE Integration
A cloud coding agent can run many tasks in parallel with nobody around to approve steps. Where should its approval boundary sit?云端 coding agent 能同时跑很多任务,但没有人在旁边点头。它的审批边界应该画在哪里?
Common in ChinaCommon overseasIntermediate#coding-agent#cloud#approvalsHow to reason about it · think before answering
- This checks whether you noticed the approval model changed: local means step-by-step approval, cloud means authorize upfront and review afterwards.
- Split the boundary across three moments: before the task (environment config decides network, variables, dependencies), during (container isolation), after (a human reviews the diff before any PR).
- Conclude that the cloud boundary is two gates, environment config plus pre-PR human review, with nobody in between; hence no production secrets, network off by default, merge rights stay human.
- Add the engineering angle: draw boundaries between parallel tasks too; tasks that touch the same files should not run concurrently.
- Expect the follow-up: can it auto-merge? Only in low-risk repos for fully green PRs, with rollback in place, and treat enabling auto-merge as a change that itself needs approval.
分析过程 · 先想清楚再作答
- 这题考的是你有没有意识到「审批模型变了」:本地是逐步审批,云端只能事先授权、事后审阅。答成「跟本地一样弹窗」说明没用过。
- 拆法是把边界分成三个时间点:任务开始前(环境配置决定能联网什么、有哪些变量、装什么依赖)、任务执行中(容器隔离,改动只在容器里)、任务结束后(人审 diff 再决定开不开 PR)。
- 结论是:云端的审批边界就是「环境配置 + PR 前人工审阅」这两道门,中间不再有人;所以生产密钥不能进环境、公网默认关、合并权限保留在人手里。
- 补一条工程视角:并行任务之间的边界也要画——互相会改同一批文件的任务不要同时派,否则合并成本吃掉并行收益。
- 可预期的追问:能不能让它自动合并?可以在低风险仓库对通过全部测试的 PR 这么做,但要保留回滚手段,并且把「自动合并」本身当成一个需要审批的配置变更。
Key points
- No step-wise approval in the cloud; the boundary becomes upfront environment config plus post-hoc human review
- Keep production secrets out, network off by default, merge rights with humans
- Draw boundaries between parallel tasks: never run file-overlapping tasks concurrently
- Auto-merge only for low-risk repos with fully green PRs, with rollback ready
答题要点
- 云端没有逐步审批,边界变成事前的环境配置与事后的人工审阅两道门
- 环境里不放生产密钥、公网默认关、合并权限保留给人
- 并行任务之间也要画边界:会改同一批文件的任务不同时派
- 自动合并只适用于低风险仓库且全绿的 PR,并保留回滚