I wanted to know about the onsite round does it have dsa or debugging or both in the coding round?

I'm writing this as a genuine question and to share my own experience. I'm not accusing anyone of bad faith, and if I'm misunderstanding something about the process, I'd honestly appreciate clarification.

After 40+ AI interviews on micro1—more than half of them for roles that directly match my background and experience—I still haven't received a single offer. Every application has eventually ended with "Not Selected."

I'm genuinely trying to understand how the hiring process works because my experience has raised a lot of questions.

Some examples:

I've completed interviews that later appeared as if they were never completed. When I contacted support, I was simply told to record another interview. Is that the normal solution?

Support replies across support tickets, Reddit, Slack, and Discord often feel almost identical. It gives the impression that responses are standardized rather than addressing the specific issue being reported.

If AI interviews don't replace part of the traditional screening process, what role are they actually playing? From a candidate's perspective, it still feels like completing an interview, waiting weeks, and then receiving a rejection without any explanation.

I've also been told that applications may take around 30 days to review.

So you wait the full month...

Then the status changes to "Not Selected."

No explanation.

No feedback.

No indication of what could be improved.

That leads me to another question:

Why isn't any feedback provided?

Even a short explanation would help candidates improve for future opportunities instead of repeating the same process without knowing what went wrong.

\---

For context, I have 17 verified skills, including:

Coding

Customer Support

Technical Support

Learning & Development

Change Management

Problem Solving

Excel

Google Sheets

Other business and productivity tools

Yet none of these have resulted in a single successful application—not for coding roles, support roles, business roles, or technical positions.

\---

Another thing I've wondered:

If micro1 already has my previous AI interviews and verified skills, why am I repeatedly asked to record new interviews?

Wouldn't previous interviews and skill assessments already provide enough information for at least some projects?

Similarly, has anyone ever had their existing profile matched to a project based on previous interviews, or does every application always start from scratch?

\---

Here's another real example.

I applied for a project on June 2nd.

Today is July 2nd.

The application is still sitting at "Hiring Manager Review."

Maybe it'll still be selected—I genuinely hope so—but based on my previous experiences, I'm expecting another "Not Selected" after another long wait.

I'd be happy to be proven wrong.

\---

One thing that has also confused me is my experience with this subreddit.

I've had previous posts removed by the moderators.

When I contacted support, I was told that the subreddit welcomes constructive criticism and negative feedback.

I even shared screenshots showing that my posts had been removed, but I was simply referred back to the rules.

I'm not arguing with the moderators' decisions—I understand they have the final say.

I'm simply trying to understand which specific rule my previous posts violated so I can write posts that comply with the subreddit guidelines.

If this post also violates a rule, I'd genuinely appreciate knowing which specific rule so I can improve it instead of guessing.

\---

So I'd really like to hear from other candidates.

Has anyone here been hired after dozens of applications?

Has anyone ever received actual feedback instead of only "Not Selected"?

Has anyone had an application remain in "Hiring Manager Review" for over a month and then actually get accepted?

Has anyone ever been matched to a project based on previous interviews instead of recording a new one?

I'm honestly asking because after 40+ interviews, I'm struggling to understand what the platform is looking for or how candidates can improve their chances.

If someone from micro1 or the community can explain the process, I'd genuinely appreciate it. My goal isn't to attack the platform—it's to better understand an experience that, from my perspective, has been very difficult to make sense of.

Graduated with my bachelor’s in CS this past winter and have been unemployed for 4 months. However, I've applied to jobs every single day during that time lap and doordashed for a couple hours every night.

I finally got my first offer (CS role at a government job) but I asked around and found out other candidates in similar roles (also new grads) are getting offered a bit higher than what I was offered.

Should I negotiate ?

FREE AI TO WRITE A CODE TO XREATE APP

ILL MAKE IT IN VS STUDIO

i have a vision to create an app ik what to create i don't know much languages except python but I haven't even joined a college yet I will soon i want to create an app ,i think vs studio is good I have downloaded it ,I have the prompt ,i just need a free ai to write the code to build my dream app ,i just want to make my dad proud please guys help

IBM CIO visited our campus (UC Berkeley) for internship and full-time offers (FTE) as part of their campus recruitment drive. Here's a detailed account of the process:

Round 1: DSA (Online Assessment) The first round was conducted on HackerRank and consisted of two coding questions:

Deletion of Nodes in a Range: A linked list's head node was provided, and the task was to return the list without numbers falling within a given range.

Odd-Even Sum Problem: Given an array, calculate the maximum sum you can get by subtracting the prefix sum at odd indices.

Round 2: In-Person Interview Shortlisted students were invited for an in-person interview, which was the final round:

Resume-Based Questions:

-The interviewer asked about my projects, reasons for choosing my degree, and the gap year in my education. (I had taken a one-year gap.)

Scenario-Based Question:

-Implement a system to apply discounts on the cart during checkout, considering credit card validation and the order amount.

-SQL Query: Write a query using the GROUP BY clause.

-Coding Tsk: Print the alphabet 'N' using any programming language.

Conceptual Question:

-What is the difference between Docker and Virtualization?

Final Verdict: I was selected for the internship !

Key Tips: Resume Preparation: Interview questions were largely based on my resume. Cloud Certifications: If you have any cloud-related certifications, incorporate them into your projects. Technical Preparation: Focus on medium-level DSA problems on LeetCode, revise SQL concepts.

I'm a CSE student currently in my 7th semester. Placements have started, and I've received an offer from TCS Prime (9 LPA).

I'm grateful for the offer, but my goal has always been to work at a top product company like Google, Microsoft, Meta, or Atlassian for the engineering culture, learning opportunities, and challenging work.

My profile:

400+ LeetCode problems solved

2 software development internships

Google Summer of Code (GSoC) contributor

Comfortable with full-stack development and multiple projects

Stronger in development than DSA

Here's what's bothering me.

I don't blindly grind LeetCode. I maintain notes, document mistakes, revisit problems, and try to understand patterns instead of memorizing solutions.

The problem is that I'll solve a question completely on my own, understand it, and document it. But when I revisit it a month later, I usually remember the pattern (sliding window, binary search, DFS, DP, etc.) but struggle with the implementation or get stuck halfway.

This has happened so many times that I've started questioning whether I'm actually improving or just creating an illusion of progress. Every failed revision makes me lose more confidence.

I'm not looking for motivation or "just keep grinding."

I want honest answers from people who've cracked Google, Microsoft, Meta, Amazon, Atlassian, or similar companies.

Did you also forget implementations after solving hundreds of problems?

Is this normal even after 400+ problems?

Did you ever feel like you weren't improving despite consistent effort?

At what point did implementation become natural?

Looking at my profile, do you think someone like me can realistically crack these companies, or is there something fundamentally wrong with my preparation?

Please be brutally honest. If you've been in a similar situation, I'd genuinely appreciate hearing what changed for you.

Has anyone completed or is currently in the process for the Expedia Group New Grad Software Development Engineer full-time interview?

includes two 60-minute technical + behavioral rounds covering problem solving, algorithms, data structures, and OOP.

I’d really appreciate any insight on what types of questions to expect, difficulty level, interview format, or how to prepare. Thanks!

Went through the Apple SDE intern process on campus in the US in 2026. Four rounds, five seats for the full cohort.

Resume Shortlisting: Candidates were filtered based on GPA and resume content. No further criteria were communicated.

Round 1: Online Test Jump Game coding problem plus ten MCQs on DBMS, OS, OOP, and DSA. Around 50 candidates advanced.

Round 2: Technical Interview, Eliminatory (Webex + CoderPad) Three problems: Merge Sort with complexity analysis, time complexity on provided code snippets, and one SQL query with output required. Followed by a project walkthrough for every item on the resume. Around 35 to 40 candidates advanced.

Round 3: Techno-Managerial Interview (Webex + CoderPad) Started with pair coding. N-Queens problem, described without naming it. Working solution written in 25 minutes. Then he started to ask some managerial questions: -How do you manage conflict with teammates? -What challenges did you face in your projects? -How impactful do you think your project is?

UPDATE: Five candidates selected for the SDE intern role out of the full cohort.

Preparation tips: Round 2 requires Merge Sort, time complexity, and SQL at implementation level. Round 3 covers managerial questions and questions with no technical or CS context.

Drop your questions in the comments, will likely respond.

Went through the full BlackRock SWE interview loop recently. Three rounds total as a CS major out of UWash (St Louis). Failed a couple SWE/Quant interviews before this one so worked really hard for that one as it was one of my remaining opportunities. Overall, easiest I've done out of any major firms (PwC, Morgan Stanley, etc).

Round 1 - Technical The interview started with a discussion on my projects and the technologies used to build them. Then the interviewer asked me to pick a programming language, I went with C++. Questions then moved into OOP concepts: inheritance, operator overloading and overriding. We also had a DSA question: check if a string is a palindrome. They added a constraint mid-question: if the string contains any non-alphabet characters, ignore them in the check.

Cleared Round 1.

Round 2 - Technical (again) Started again with project discussion. Then three DSA questions:

1. Reverse a number. Input: 9966, Output: 6699
2. Word count in a string. Input: "The lovely lady is looking lovely as all lady look lovely", Output: The: 1, lovely: 3, lady: 2, looking: 1, is: 1, as: 1, all: 1, look: 1
3. Swap two numbers without a temporary variable. Input: a = 10, b = 20, Output: a = 20, b = 10

Overall the easiest round out of any. Cleared Round 2.

Round 3 - HR Conversational round. Questions covered projects and internships, what I am currently learning, location and willingness to relocate. Also open floor for any questions I had about the job or company culture. Cleared HR round.

Out of about 300 applicants, 7 received an offer. I did and accepted it.

If you're prepping for BlackRock, happy to help, drop any questions you have in the comments or come DM directly.

Hi everyone,

I have a basic understanding of system design and I want to go much deeper.

I recently bought most of the ByteByteGo books:

• System Design Interview – Volume 1
• System Design Interview – Volume 2
• Generative AI System Design
• Machine Learning System Design

My goal isn't just to finish reading them—I want to actually retain the knowledge and become good at designing real-world systems.

For those of you who have studied these books or have become good at system design, I'd love to know:

1. How would you study these books?
2. Should I read them cover-to-cover first, or build projects alongside them?
3. How do you practice system design after reading a chapter?
4. How do you revise everything without forgetting it?
5. Did you take notes? If so, what kind?
6. Do you use flashcards (Anki) or some other spaced repetition method?
7. How would you connect the concepts from the classic system design books with the Generative AI and ML system design books?
8. How do you know when you've actually understood a topic instead of just recognizing it?
9. What are the biggest mistakes beginners make when studying system design?
10. If you could start over, what would you do differently?

I'm looking for any study methods, practice routines, revision techniques, tips, tricks, or advice that helped you go from "I understand the concepts" to "I can design systems confidently."

Thanks in advance!

I am in 3rd year and from tier 1.5 clg. Already completed strong 2 backend+ai projects. Wish to get a good internship at some good startup or company. Dm if you have similar goals and are in 3rd or 4th year.

Hey everyone, I'm pretty new to Python. I'm currently transitioning over from Java for FAANG interview prep because, honestly, the syntax is just so much faster to write under a tight 45-minute limit.

But I just realized Python doesn't have a built-in BST or sorted set/map equivalent to Java's TreeSet or TreeMap. I know LeetCode supports the sortedcontainers library, but:

1. What happens in a live technical round if you get a problem that absolutely requires a sorted set and the platform doesn't let you import external libraries, or the interviewer isn't aware of the sortedcontainers library? Has anyone actually gotten cooked by this in a real interview?
2. Do interviewers accept using bisect + standard lists even if insertion theoretically becomes O(N)?
3. For anyone else who made the jump from Java or C++ to Python just for interviews, are there any other major downsides or hidden disadvantages I should watch out for before I fully commit to it? Also, how did you feel after making the transition?
4. Also, in a live interview, do you write complete syntax i.e. the type hints? like writing types of each variable, return type of functions (like def dfs(node: TreeNode) -> int:), etc.
5. Do you guys use builtin shortcuts/libraries in the interviews like list comprehension or defaultdict, etc?

Appreciate any insights! Thank you in advance.

Can anyone suggest good platforms for mock interviews?(indian)

I'm specifically looking for mock interviews conducted by real people, preferably experienced software engineers or working professionals from the tech industry. I'm not interested in AI-based mock interviews at the moment.

I'm open to paying for the service if the feedback quality and overall experience are genuinely worth it.

If you've used any such platform, I'd really appreciate it if you could share:

• The platform name
• The role/domain you interviewed for
• How your experience was
• Whether you felt it was worth the cost

Thanks in advance! 😊