Interview Bank
328 questions total; 2 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
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Mastering Claude: From Conversation to Claude Code in 5 Days
D4 Extending Claude Code: Hooks (Deterministic) vs. CLAUDE.md (Advisory), Skills, Subagents, Plugins, Wiring Up an MCP Server, CLI Tools First
What problem do subagents solve? Do they see the main conversation's history? When should you not use one?subagent 解决了什么问题?它看得到主会话的历史吗?什么时候不该用?
Common in ChinaCommon overseasIntermediate#subagents#contextHow to reason about it · think before answering
- The key is the problem solved: protecting the main conversation's context window, not the side benefits of parallelism or specialization. The second part is a common misconception; the third tests judgment.
- Chain: research and review tasks read a lot and keep little — thirty files for one conclusion. Done in the main session, all thirty land in the window and crowd out the actual implementation. A subagent has its own context window, reads everything, and returns only a summary; the main session pays only for the summary.
- Second part: no. A subagent starts with the system prompt, the task you delegated, CLAUDE.md, and a git status snapshot — not the main history, your earlier file reads, or previously loaded skills. That is both a limit and a strength: a reviewer without the memory of having just written the code finds more faults, which is what adversarial review in D5 relies on.
- Configuration: .claude/agents/<name>.md with tools restricting what it may use (no Edit for a reviewer) and model to pick a cheaper or stronger model; built-ins are Explore (read-only), Plan (plan mode research), and general-purpose.
- When not to: tasks needing multi-turn back-and-forth (every dispatch re-explains), phases that share heavy context, and one-line fixes where dispatch plus summary costs more than the work. Follow-up: subagent versus /compact — one keeps content out of the window, the other compresses it afterward; the former is cheaper.
分析过程 · 先想清楚再作答
- 题眼是「解决了什么问题」——答案是保护主会话的上下文窗口,而不是「并行」或「专业化」这些附带好处。第二问是常见误区,第三问考边界感。
- 推导:查资料、审代码这类任务的特征是「读很多、留很少」——读三十个文件只为一段结论。放在主会话里做,三十个文件全进窗口,真正的实现反而没地方放。subagent 拥有独立的上下文窗口,读完只把总结带回来,主会话只付总结的成本。
- 第二问:看不到。subagent 起步时只有系统提示、你派给它的任务描述、CLAUDE.md、git 状态快照;主会话的历史、你之前读过的文件、之前加载的 skill 都不在。这是限制也是优点:一个没有「刚写完这段代码」记忆的审查者更容易挑出毛病,D5 的对抗式审查就靠这个性质。
- 配置:.claude/agents/<name>.md,frontmatter 的 tools 限定它能用什么(审查者不给 Edit)、model 可以配更便宜或更强的模型;内置的 Explore 只读、Plan 用于计划模式、general-purpose 全能。
- 不该用的场景:需要多轮来回讨论的活(每次派出去都要重新交代)、几个阶段要共享大量上下文的活、一句话就能改完的活(交代 + 总结的开销大于任务本身)。可预期的追问:subagent 与 /compact 的关系——一个是不让东西进窗口,一个是进了以后压缩,前者更省。
Key points
- Solves the main window being flooded by read-heavy, keep-little tasks; a subagent has its own window and returns a summary
- It does not see the main history — only the task, CLAUDE.md, and a git snapshot — which makes its review more objective
- tools restricts permissions, model picks the model; built-ins are Explore, Plan, general-purpose
- Avoid for multi-turn discussion, heavy shared context across phases, and one-line fixes
答题要点
- 解决的是主会话上下文被「读很多留很少」的任务撑满;subagent 独立窗口,只带回总结
- 看不到主会话历史,只有任务描述、CLAUDE.md、git 快照;因此审查更客观
- tools 限定权限、model 选模型;内置 Explore / Plan / general-purpose
- 不该用:多轮讨论、多阶段共享上下文、一句话能改完的小活
D5 Automation and Scale: Headless -p Into CI, Parallel Sessions and Worktrees, Writer/Reviewer Dual Sessions, Adversarial Review, Common Failure Modes; a 20-Line Minimal Agent SDK Agent
Why is a Writer / Reviewer two-session review more effective than self-review in one session, and should you fix everything the reviewer reports?为什么 Writer / Reviewer 双会话的审查比同一个会话自查更有效?审查者报出来的问题要全改吗?
Common in ChinaCommon overseasIntermediate#review#subagentsHow to reason about it · think before answering
- The point is the why and the second half. 'A second pair of eyes' is common sense; explain the role of context and the side effect of review.
- Chain: the session that wrote the code has a context full of its own reasoning; asked to review, it tends to confirm rather than challenge — a context bias, not an attitude problem. A Reviewer in a fresh context sees only the diff and your criteria, not the Writer's reasons, so it critiques the code itself. Same principle as non-author code review among humans.
- Three shapes: two terminals passing output by hand; a subagent doing adversarial review (its isolated context is the memoryless reviewer, and findings land back in the main session for immediate fixing); the built-in /code-review that reviews the current diff in a fresh subagent. The idea also inverts: one session writes tests, another writes the implementation to pass them.
- The second half separates candidates: don't fix everything. A reviewer told to find gaps will report some even in sound code; accepting all of it leads to over-engineering — extra abstraction, defensive code for impossible cases, tests for unreachable paths. Tell it to flag only gaps affecting correctness or stated requirements, and let a human decide.
- Follow-ups: what does the Reviewer need? The diff, the plan or requirements, explicit criteria; feeding it the Writer's reasoning weakens independence. Can it be automated? Yes — run the Reviewer via -p and post results to the PR.
分析过程 · 先想清楚再作答
- 题眼是「为什么」和后半句。答「多一双眼睛」是常识;要说清上下文在这里扮演的角色,以及审查的副作用。
- 推导:写完实现的会话,上下文里装满了「我为什么这么写」的推理;让它自审,它倾向于确认而不是质疑——这不是态度问题,是上下文偏置。Reviewer 换一个全新的上下文,只看到 diff 和你给的标准,不知道 Writer 的理由,所以挑的是代码本身的毛病。这和人类 code review 要求「非作者审」是同一个道理。
- 形态有三种:两个终端手动传递输出;一个 subagent 做对抗式审查(独立上下文天然就是无记忆的审查者,而且结果直接回到主会话可以立刻修);内置的 /code-review 在新 subagent 里审当前 diff。同样的思路可以反过来用:一个会话写测试,另一个写实现去通过。
- 后半句是区分度:不要全改。被要求找问题的审查者一定会报出问题来,哪怕代码没毛病;照单全收会导致过度工程——多余抽象、防御不存在情况的代码、测不可能发生的用例。审查提示词里要写「只报告影响正确性或明确需求的差距,其余视为可选」,最终由人判断。
- 可预期的追问:Reviewer 需要什么输入?diff、计划或需求(PLAN.md)、明确的判据;给它 Writer 的推理过程反而会削弱独立性。再追问「能不能自动化」——能,-p 模式里一条命令跑 Reviewer,结果贴回 PR。
Key points
- Self-review suffers context bias: a session full of its own reasoning confirms rather than challenges
- A Reviewer in a fresh context sees only the diff and criteria, so it critiques the code itself
- Shapes: two terminals, an adversarial subagent, built-in /code-review; invert for test-first
- Don't fix everything: reviewers always report something; limit findings to correctness and stated requirements
答题要点
- 自审受上下文偏置:装满自己推理的会话倾向于确认而非质疑
- Reviewer 用全新上下文,只看 diff 与判据,挑的是代码本身的毛病
- 形态:双终端、subagent 对抗式审查、内置 /code-review;反向可用于测试先行
- 不要全改:审查者必报问题,照单全收导致过度工程;限定只报影响正确性的差距