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See the path that kept the site up.
Come back each day. Fix a broken design in the lab.
A fact, a few news summaries, an interview tip, and a work lesson. New each day. No account needed.
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We read 40 sources from June 2025 to November 2026: company blogs, interviewer surveys, and hiring reports. The charts show what they found. Each number links to its source.
% of interviewers who said yes
Source: interviewing.io survey, Oct 2025
% of 52 FAANG interviewers
Source: interviewing.io survey, Oct 2025
% of postings
% more, by level
Source: Levels.fyi, Jul 2025
| Chart | Item | Value |
|---|---|---|
| Did AI change your interview process? | Startup interviewers | 67% |
| Did AI change your interview process? | FAANG interviewers | 0% |
| What Big Tech did with algorithm questions | Changed the style to resist AI | 58% |
| What Big Tech did with algorithm questions | Made them harder | 21% |
| What Big Tech did with algorithm questions | Dropped them | 0% |
| Skills named in 390 AI engineer postings | Evals | 56% |
| Skills named in 390 AI engineer postings | Agents | 50% |
| Skills named in 390 AI engineer postings | RAG | 26% |
| AI pay premium over non-AI peers | Entry level | 6.2% |
| AI pay premium over non-AI peers | Staff level | 18.7% |
What it means
Big Tech kept algorithm and design questions. The questions have longer setups and fewer memorized answers get credit.
What it means
Meta and Canva added an AI-assisted coding round. "Design ChatGPT" and RAG pipelines are now named prompts.
What it means
Postings for AI engineers name evals and agents more often than RAG. Know how you would test a model's answers.
What changed in system design interviews this week, with a source for each number. One email a week from hello@sdprimer.com. You can stop it with one click.
No tracking. Or use the RSS feed.
Interviewers now ask you to design ChatGPT, a RAG pipeline, or an agent that uses tools. They grade the numbers. A diagram without a latency budget and a token cost does not pass.
Time to first token
Keep it apart from the time between tokens. The first one waits for retrieval and the prefill. The rest stream.
GPU capacity for each tenant
A batch size, a queue, and a limit per tenant, so one customer cannot take every GPU.
Token cost per month
Users times requests times tokens times price. Then the levers: a cache, a smaller model, a shorter prompt.
Each one takes a few minutes. Do one a day, or do them all.
Pick an answer. Then read why it is right or wrong. Every interview topic, from caching to AI systems.
A system is broken. Add the missing parts to the diagram to fix it. Then explain your fix to an AI reviewer.
A short tip after each question. It tells you the key idea, the common mistake, and how to say it in an interview.
Answer one question and your streak lives another day. Earn XP for each correct answer and watch your level go up.
Read a coding problem and name the pattern that solves it: Sliding Window, Two Pointers, BFS, and more.
A few articles each day on AI, architecture, security, and hiring. Each one comes with a short summary so you can decide what to read.
The Lab gives you a system that failed. You add parts to the diagram to repair it. Then an AI reviewer asks you why your fix works.
Read what went wrong
A short report tells you how the system failed
Repair the diagram
Add the parts that would have stopped the failure
Explain your fix
The AI reviewer asks one question about your choice
Get a score and notes
What you did well, what you missed, and the trade-off to remember
Most coding interview problems use one of about 15 patterns. We show you a problem, you name the pattern. Do this often and the right approach shows up fast.
Interviews are one day. These three guides help with the other days. How to talk to your team. How to code in front of someone. How to hand in a project.
One work situation a day, such as a pushy feature request or a hard code review. You see a weak reply and a strong one, and why.
Five steps for a coding interview: ask, plan, code, test, explain. What to say at each step and how long to spend.
A checklist for take-home projects. What to build first, what to test, and what to put in the README. Then what to check before you send it.
One question takes about two minutes. That is enough to keep your streak and keep the ideas fresh.
A question you get wrong comes back in a few days. A question you get right comes back less often. This is called spaced repetition.
The topics are the ones interviewers ask about: caching, databases, queues, load balancing, and now AI systems.
Your streak, your XP, and a strength score for each topic. You can see which topics need more work.
It is free. You do not need an account. Also on iPhone.