Stop Grinding the Same 100 Problems: Prep for the OA You’ll Actually Get in 2026
Stop Grinding the Same 100 Problems: Prep for the OA You’ll Actually Get in 2026
别再死磕那 100 道题了：为 2026 年你真正会遇到的在线测评（OA）做准备
Takeaway up front: If your target list is company-specific, a frozen “top 100” grind is often the wrong loop. Cohort freshness — what this company is sending in this hiring wave — usually beats another pass through the same classic set. 核心结论先行：如果你的目标公司很明确，死磕固定的“Top 100”往往是错误的路径。关注“同期新鲜度”——即该公司在当前招聘季实际考察的内容——通常比反复刷那些经典题库更有效。
Hey — quick intro so you know what you’re following. This account is for SWE new grads, interns, and job seekers who are tired of treating interview prep like an infinite LeetCode treadmill. The plan here is simple: short notes on company-scoped OA patterns for the 2026 season, weekly “what’s showing up” pulses grounded in public candidate-report boards, and occasional deep-dives with tiny code sketches (Python-first). 嘿，简单介绍一下，让你知道关注这里能获得什么。本账号专为那些厌倦了将面试准备视为无尽 LeetCode 苦役的软件工程师应届生、实习生和求职者而设。这里的计划很简单：提供针对 2026 招聘季的公司专属 OA 题型笔记，基于公开求职者反馈板的每周“考题趋势”速递，以及偶尔附带简短代码草图（以 Python 为主）的深度解析。
Not a product launch post. Not “discard LeetCode forever.” Just a sharper default for people who already know which companies they’re applying to. The useful idea: cohort beats folklore. 这不是产品发布文案，也不是要你“彻底抛弃 LeetCode”。这只是为那些已经明确目标公司的求职者提供一种更高效的备考默认策略。核心理念是：同期趋势胜过陈旧传说。
There’s a version of prep that feels productive and still misses the screen. You finish NeetCode 150. You re-do Blind 75. You can recite Two Sum in your sleep. Then the OA lands and it looks like… a long, stateful simulation with settlement rules. Or a four-part in-memory system. Or a SQL window question with a business twist. Or a design prompt that expects you to reason about inventory reservation, not just BFS on a grid. 有一种备考方式让你感觉很充实，但依然无法通过筛选。你刷完了 NeetCode 150，重做了 Blind 75，甚至闭着眼都能背出“两数之和”。然而，当 OA 真正到来时，它看起来却是……一道带有结算规则的长状态模拟题，或者一个四部分的内存系统题，又或者一道带有业务逻辑的 SQL 窗口函数题，甚至是一个要求你分析库存预留逻辑而非仅仅在网格上做 BFS 的设计题。
None of that means fundamentals are useless. Fundamentals are the substrate. The miss is treating a static ranked list as if it were this company’s current filter. Companies rotate shells. Cohorts get dated. A problem that was “everywhere” in 2023 can still be good practice — and still be the wrong primary bet for the invite you got yesterday. 这并不意味着基础知识没用，基础是地基。错误在于把一份静态的排名列表当作该公司当前的筛选标准。公司会轮换题库，招聘周期也会过时。2023 年“到处都在考”的题目或许依然是很好的练习，但对于你昨天收到的面试邀请来说，它可能并不是最值得押注的重点。
A better mental model: 更好的思维模型：
| Default grind (默认刷题) | Cohort-aware prep (关注同期趋势的备考) |
|---|---|
| Same 100 forever (永远刷那 100 道) | Last ~30–60 days for your targets (针对目标公司近 30-60 天的考题) |
| Topic shuffle (按主题乱刷) | Company + stage first (优先考虑公司和面试阶段) |
| “I did X mediums” (我刷了多少道中等题) | “I can ship their style under time” (我能在规定时间内写出他们的风格) |
| Folklore (“Amazon always asks Y”) (传说：“亚马逊总考 Y”) | Fresh public reports + your own notes (新鲜的公开反馈 + 你自己的笔记) |
Freshness here doesn’t mean chasing every rumor. It means prioritizing problems that match: the company on your app tracker, the stage (OA vs phone vs onsite), and the format that company actually uses (classic DSA, progressive parts, SQL, LLD, etc.). If you only have 8 focused hours this week, those three filters are how you spend them. 这里的“新鲜度”并不意味着去追逐每一个流言，而是优先处理符合以下条件的题目：你申请列表中的公司、面试阶段（OA vs 电话面试 vs 现场面试），以及该公司实际使用的考察形式（经典数据结构与算法、渐进式多部分题、SQL、低阶设计等）。如果你这周只有 8 个小时的专注时间，请务必通过这三个过滤器来分配。
A Monday morning habit that compounds: You don’t need a new platform identity to do this. You need a ritual: Write down 3–5 active targets (not 40 tabs). For each, note the OA shape you’ve seen recently in public writeups or boards — not every title, just the shape. Practice one problem in that shape under a timer. After you solve, write a 5-line postmortem: pattern, gotcha, what you’d do in minute 1 next time. Skip anything older than your personal freshness window unless it’s a foundational pattern you still flub. 一个能产生复利效应的周一早晨习惯：你不需要新的平台账号来做这件事，你需要的是一个仪式：写下 3-5 个当前的目标公司（不要打开 40 个标签页）。针对每一家，记录你在公开反馈或论坛中看到的近期 OA 题型——不需要记录每一道题的标题，只需记录题型。在计时条件下练习一道该题型的题目。做完后，写一个 5 行的复盘：考察模式、陷阱、以及下次第一分钟你会怎么做。跳过任何超过你个人“新鲜度窗口”的题目，除非那是你依然掌握不牢的基础模式。
That last point matters. Old classics still teach sliding windows and graphs. Use them as drills. Don’t confuse “I can do classic mediums” with “I’m ready for this OA.” 最后一点很重要。经典的旧题依然能教会你滑动窗口和图论，把它们当作日常训练。不要把“我能做经典中等题”和“我准备好应对这次 OA 了”混为一谈。
What you’ll get if you follow along: Expect posts in this cadence: Pulses — patterns showing up across public OA boards this season (honest sourcing, no invented “hot this week” percentage claims); Checklists — things you can run Monday morning before you apply or practice; Deep-dives — 2–3 patterns at one company, with small Python sketches. If that sounds useful, follow. If you only want motivational hustle content, this won’t be your timeline. 关注我你将获得：以下节奏的内容：趋势速递——本季公开 OA 论坛中出现的模式（真实来源，不编造“本周热门”百分比）；检查清单——周一早晨申请或练习前可以执行的步骤；深度解析——针对某家公司的 2-3 种模式，附带简短的 Python 草图。如果这听起来有用，请关注。如果你只想要励志鸡汤内容，这里可能不适合你。
Discussion: What’s one company on your list where the OA felt nothing like your generic grind set — and what pattern was it actually testing? 讨论：你目标清单中哪家公司的 OA 让你感觉完全不像你平时刷的那些题？它实际考察的是什么模式？
Notes from someone watching company-scoped OA prep for the 2026 season. Public board many of us use: 2026 Tech OA by FastPrep on GitHub. 来自一位关注 2026 招聘季公司专属 OA 备考者的笔记。我们许多人使用的公开资源：GitHub 上的 2026 Tech OA by FastPrep。