interviewsVector

Senior-engineer-grade interview prep. System design, architecture judgment, JavaScript, AI engineering & mock interviews. Learn free ↓

[interviewsVector @interviewsVecto]

https://t.co/gLUZfT62Fe

[interviewsVector @interviewsVecto]

Rate Limiter System Design: Token Bucket, Sliding Window & Redis at Scale
https://t.co/sKzTPjDMeO

[interviewsVector @interviewsVecto]

Resilience patterns don’t just prevent failures — misconfigured, each can cause one.

Timeouts, retries, jitter, budgets, circuit breakers, bulkheads & load shedding all have second-order effects.

🔗 https://t.co/BnLXzlqgBC

#SystemDesign #DistributedSystems #SRE

[interviewsVector @interviewsVecto]

AI/ML interview question:

You have 10M training images but limited GPU memory. How would you train the model efficiently?
If your answer starts with “buy a bigger GPU” 😅 — the interviewer has follow-up questions.
AI/ML https://t.co/ulPtf0psCE
#AI #MachineLearning #AIInterview

[interviewsVector @interviewsVecto]

@Saanvi_dhillon typescript

[interviewsVector @interviewsVecto]

@CodeEdison close enough

[interviewsVector @interviewsVecto]

@CodeEdison

[Tanuj @tanujDE3180]

Software Engineers:

Why are JWTs Base64URL encoded instead of normal Base64?

[interviewsVector @interviewsVecto]

Production AI Agents Need Less Freedom, Not More via @dailydotdev https://t.co/FRwQKgxDHT

[interviewsVector @interviewsVecto]

https://t.co/ulPtf0psCE

[interviewsVector @interviewsVecto]

Called setCount(count + 1) three times…
Expected: 3
React: “Your render saw count = 0.”
Actual next render: 1 😅
State is a snapshot. When the next value depends on pending state, use an updater:
setCount(value => value + 1)
Practice React https://t.co/oJpKtb84yn
#ReactJS #react

[Theo - t3.gg @theo]

Finally! Codex getting closer to feature parity with T3 Code 🫡

[Google Gemini @GeminiApp]

One billion monthly Gemini users and counting. This makes the Gemini app Google's fastest growing product ever, and we couldn’t have done it without this amazing community.

[Andrew Ng @AndrewYNg]

Thank you Mark, Alex and the whole Meta team for your contributions to open weight AI.

[Mark Zuckerberg @finkd]

Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats to @alexandr_wang and the MSL team for all your great work on these models.

[Alex Spring @_alexspring]

ChatGPT setup datacenter now. Make no mistakes

[interviewsVector @interviewsVecto]

Interviewer: “How does Python async work?”
Me: “First, what’s the concurrency limit?” 😄

Because senior Python interviews aren’t just about `async`/`await`—they’re about backpressure, deadlines, capacity, and what fails under load.

https://t.co/xOvBpPEuJC
#Python #async

[interviewsVector @interviewsVecto]

https://t.co/xOvBpPEuJC

[interviewsVector @interviewsVecto]

https://t.co/Fti6JHfG6N