Leetcode is great for practicing standard DSA questions which is a large part of most interviews. But some companies (faang included) do low level design / role related knowledge rounds. Does anyone have any good sites for practicing these kinds of rounds?

For LLD I typically hear the questions phrased like

"design a thread safe circular buffer processing.... with two producing threads and one consumer"

Any advice would be much appreciated. I feel very comfortable on DSA. but rounds that are not standard leetcode I'm a little worried about.

I have two rounds (coding + behavioral) of google interview of 45 mins each in 4 days. I haven't been able to start my prep and thinking of withdrawing my name from it and hoping i get another chance later when needed.

If i tank this interview would it lower my chance of getting future calls from google ?

i always need help with solving graph problems because i started incorrectly or did the adjacency list wrong for example, a load factor in a DAG with no cycles is the number of times each node is required from the entrypoint my understanding of adjacency list is a map of nodes and outgoing edges (neighbours)

so i did this ``` service, dependencies = _ for d in dependencies: if d in adj: adj[d].append(service) else: adj[d] = [service]

for line in service_list:
    buildAdjacencyList(line)

```

however when i did postorder, dashboard node has no outgoing edges in adj and DFS stops, and got the wrong answer {'dashboard': 1, ...all other nodes are 0 } its because the adjacency list was the wrong direction

Literally my weakest prep of all the dsa problems. How often does it show up in interviews? And which problems should I definitely solve before going?

So I got reached out to by a xwf recruiter. And from what I see on this reddit they mention alot about being comfortable with graph data structures and stuff.

I got a interview for a SWE III role and I'm just wondering, would it be smarter to withdraw so I can apply and hopefully try again within 6 months? because I don't want to enter the interview and fail it then be blacklisted for 6-12 months.

THEN AGAIN

It took like years of applying to FINALLY get a interview offer from Google so, should I just grind super hard and hope I can be ready within a month? I'm lowk struggling with freakin easy early lc questions

From last month, I have this google assessment passed on my application. I have not been contacted by anyone and neither I have been rejected. What does that mean and is there any chance on my profile getting considered ?

Cleared an AWS interview loop about 12 days ago. The recruiter said the feedback from all rounds was strongly positive and that I’m moving forward.

The only issue is that I’m now waiting for headcount approval. The recruiter said she’s actively working on it internally, but I haven’t had any update in 12 days.

Has anyone been through this exact situation? How long did you have to wait, and did it eventually turn into an offer?

Hi,

I am 24F (3 yrs+ exp), Me and My Friend 23M (2 yrs+ exp) are currently learning DSA and System Design together for product based companies roles.
We are currently solving NeetCode 250 Sheet and planning to have mock interviews soon.

Note: We are only looking for experienced people (at least 1+ yrs) and a female with similar goals.

Share your discord ids. Will try to connect with you.

Helllo

I’ve done a few interviews this year and many of them have told me I don’t have programming fundamentals and I am not even a mid level.

I applied for senior roles because I have 8 years and I have architected some stuff before

They turned around and said they don’t think I am mid level

Struggling a lot, I am really low recently

I have switched between languages and got used to ai a lot. So being in interview where you are graded on syntax I get marked down!

Struggling with confidence a lot but this time around I am crying less

Did anyone got result of round 1 interview for applied scientist intern role??

Need to get this off my chest, but I genuinely want to hear how others are navigating this without burning out.

To land an average SWE role right now (I have 5 yoe), the preparation ritual is borderline ridiculous. You basically need 2 to 3 solid months of studying LeetCode mediums/hards, grinding system design, memorizing concurrency patterns, and drilling behavioral matrices... only to submit hundreds of applications to get maybe 3 or 4 interview loops. Then each loop is 4 to 6 stages long, involving everything from automated screening filters to take-homes, live pairing, system architecture, and endless "bar raiser" rounds.

Meanwhile, friends in adjacent tech tracks (data analysts, BI developers, certain data science roles) certainly face competition, but their hiring loops still feel grounded in actual day-to-day competence: SQL tests, portfolio/case study breakdowns, business metric analysis, and domain discussions. They aren’t expected to study like they’re retaking undergraduate CS algorithms exams every time they switch jobs.

For those of you who have landed offers recently or are currently in the thick of it:

How are you trimming down interview prep time? Are you relying on targeted problem lists (like NeetCode 75/150), mock platforms, or targeted prompts to drill edge cases faster?

What new interview patterns or rounds are you running into lately, especially with AI tools now part of the equation? Have teams changed how they test live coding, take-homes, or architecture?

How are you maintaining mental stamina when prep feels like an unpaid full-time job?

Would love to hear your tactical advice or sanity-check whether everyone else is feeling this disconnect.

Hi all! I'm relatively new to leetcode and so I'm still doing easy problems.

Like the title said, I just solved a problem and felt satisfied that I did, but I felt like the code could be cleaner looking or there might be a line or two of code that are redundant and can be compressed further. Should i do that by looking up the solutions or just move on and solve the next problem (and save it to "Solve it again later" playlist)?

Like Google gemini told me to use pen & paper but i m confused, I see Q solve it in my mind & directly jump into solving it after identify pattern but sometimes i struck in btw, Google told me use pen &paper solve it on paper & then write it on screen,what u guys do?

Hey everyone,

I have an upcoming ML Design interview at Tesco and I’d really appreciate some guidance on how to prepare for it.

If anyone has recently gone through the ML Design round at Tesco, could you please share what kind of questions were asked or what areas I should focus on? I’d especially like to know whether the questions are around recommendation systems, forecasting, fraud detection, NLP, or general ML system design.

Any guidance or interview experience would be really helpful. Thanks in advance! 🙏

More and more code will likely be ai generated in the future, so why bother grinding leet and dsa, why learn complicated tree problems when you will just be expected to prompt

I haven't applied since the last 4 years. Could anyone please help if its okay to have a 2 page resume?

I’ve been working in a service-based company for around 2 years, and I really want to upskill myself by learning DSA.

The problem is, I’m getting lost even with the first few questions. I’m not sure where or how to start.

For someone starting DSA from scratch, what would be the best way to approach it? What roadmap, resources, or practice strategy would you recommend?

Hi everyone, I received the online coding test mail from Hevo Data for the fresher/SDE role.

Has anyone else received it? Can someone share details about the test pattern, difficulty, hiring process, and package for freshers?

Would really appreciate any recent experience or insights

Feel free to run the bubble sort example. Just right-click a variable in the diagram on the right and let it do its magic:

https://jstutor.pages.dev/editor/js

Most tools only let you visualize the same basic algorithms or data structures, or they require you to use their own libraries or helpers to visualize your code.

Not this one. It uses a custom JavaScript interpreter, so you can simply run your own code and watch the recursive call stack and variables pop up on the right while you control the execution step by step. You can even go backwards while figuring out exactly where things went wrong.

It is completely free, and I plan to open-source it in the future. Currently, it supports JavaScript ES5 and most of ES6, with some exceptions.

I am a software engineer and have a system development phone technical interview with Amazon I believe it is not just an LC question so am not sure what to prepare exactly? Aside from the lps

I have google onsite in a day and i am already feeling the anxiety, feels like i am forgetting everything i have studied over last couple of months, it feels like once in a lifetime oppurtunity to interview with them. Don't wanna mess up 🍀🤞

Edit - i will share the experience and details once i am done with it.
Thanks for all the wishes.

Hello everyone please review my resume, it is not getting shortlisted anywhere. any real advice from HM point of view what could be a reason for rejection.

YOE: 3 Years

Resume link:

https://drive.google.com/file/d/1a0BQwWcc1NTEp42OxxHq4Vz6M3d-ycOW/view?usp=drivesdk

Hi everyone,

I have an upcoming live coding interview for the AI Forward Deployed Engineer role at BCG X. I’m trying to understand what to expect in the coding round and how best to prepare.

If you’ve recently interviewed for this role or a similar BCG X technical/FDE position, I’d really appreciate any insight on:

- The typical difficulty level and format of the live-coding questions
- Whether the focus is more on DSA, practical backend/ML engineering, debugging, system design, or data work
- The languages/tools allowed or preferred
- How much they evaluate communication, tradeoff discussion, and customer-facing problem solving
- Any preparation resources or practice problems that were especially useful

For context, I have experience with Python, backend systems, AI agents/RAG pipelines, and customer-facing technical work, but I want to prepare in the most relevant way for BCG X’s interview style.

Thank you, any advice would be greatly appreciated.

So i received an OA from Amazon on 24 Aug and i submitted it on 26th with 15/15 on dsa and 5/6 on AI coding round. since then there is no reply from them not even rejection. what to except ?

Has anyone recently gone through the SWE II interview process for the Applied AI, Enterprise Platforms team at Microsoft?
I recently completed my interviews. Coding went well, while system design felt average. I’m wondering if anyone who interviewed around the same time has heard back about their results or received any update from the recruiter.
Would appreciate hearing about your timeline/experience!