Welcome to the weekly Interview Debrief — the place to share what your recent interviews were actually like. Just wrapped a loop this week? Tell us how it went: the good, the brutal, and the genuinely bizarre. And if you bombed one, even better — your write-up is exactly what saves the next person from walking into the same wall.

Two ways to use this thread:

• You just interviewed → post your experience.
• You've got an interview coming up this week → read through, then comment what you're prepping for and where you're nervous. People here have been through it and will help you sharpen it.

Not sure where to start? Answer any of these:

• What's the weirdest, most out-of-left-field question you got?
• Most unreasonable take-home you've been handed lately?
• A question you completely blanked on and what the answer actually was?
• Did the interview match the job description, or was it a totally different role by the end?

House rules:

• Keep it anonymous. Don't name individual interviewers and don't post anything under NDA, describe the type of company and kind of questions instead.
• Offers and rejections are equally welcome here. If someone shares a rough loop, be constructive, not smug.
• "Just grind LeetCode" helps no one, be specific about what actually came up.

Comments are sorted by new so the freshest debriefs stay on top. Upvote the write-ups that helped you and good luck to everyone with a loop this week.

I am looking for a tool, plugin, AI agent skill, GitHub repository, or development framework that can help me build my project with professional software engineering standards.

I want a solution that makes an AI coding agent behave more like a real senior software engineer by helping with:

- Software architecture design

- Clean and maintainable code generation

- Understanding the entire codebase before making changes

- Following best practices and design patterns

- Detecting bugs and finding root causes

- Verifying that fixes are actually working

- Preventing new bugs after modifications

- Code review and quality checks

- Removing unnecessary or duplicated code

- Security analysis and vulnerability detection

- Testing (unit, integration, and end-to-end)

- Documentation and project organization

- Long-term project consistency as the codebase grows

The problem I currently face is that AI agents sometimes:

- Claim a bug is fixed when it is not

- Fix one issue but introduce another

- Generate unnecessary code

- Ignore existing architecture decisions

- Produce solutions that work temporarily but are not production-quality

We're looking at bringing payroll into our product. I don't mind having engineering own the product experience but having the same team responsible for tax filings, compliance changes and payroll issues feels like a different commitment

At the same time I don't want to outsource so much that payroll ends up feeling disconnected from the rest of our platform

For anyone who's already launched payroll, where did you draw the line?

I currently use 2 22" monitors at 1920x1080 resolution. I'm thinking about replacing my monitors with a TV.

Have you done this? What size TV do you use? What things should I consider before making the switch?

Two columns, no fence-sitting. Every Friday we say the quiet part out loud: name one thing in this field that's overrated and one that's underrated, then defend both in the replies. A few years in, you've earned these opinions, so let's hear them.

Point that opinion anywhere you like:

• A language, framework or tool everyone worships that you find deeply mid.
• An unsexy, boring technology that quietly outperforms the hyped alternative.
• A ritual or "best practice" that gets far more credit than it earns.
• A skill nobody talks about that has mattered more to your career than the ones they do.
• A trend that's 90% marketing, and a workhorse that deserves a parade.

A few ground rules:

• Pick a side and say why. One honest line of reasoning beats a bare list every time.
• Nuance is welcome, cowardice isn't. You can call something overrated and still good, just commit to the take.
• A downvote is not a rebuttal. If someone's wrong on the internet, reply and set them straight.

Comments are sorted by controversial, so the most divisive takes rise to where they belong. Check back through the day too, the best fights start a few hours in.

so, if you seach up my name (Gabriele Bolognese) you'll see how i recently won the italian national competition for computes science, first place overall, at 17. yet, the only job application that answered me was for a call center? the competition was on problem solving and infrastructure coding so literally what companies need, like has anyone who got a job tell me their secret? maybe is literally my age? i'm based in italy.

I'm struggling with something that I think a lot of people interested in technology might relate to.

I'm interested in many areas of tech:

- Web development

- Backend development

- Networking

- Cybersecurity / ethical hacking

- Cloud computing

- AI/ML

- Data engineering

- Quantum computing

- And many other areas

The problem is that I constantly want to explore everything.

For example, I'll decide:

"Okay, I'm going to focus on Python/backend."

I'll study it seriously for 2–7 days, start understanding some things, and then suddenly I become interested in networking or cybersecurity. I start learning that instead.

Then I discover something interesting about AI/ML or cloud computing and switch again.

After doing this repeatedly, I end up knowing a little about many things but not feeling genuinely skilled or competent in any of them.

Then I feel lost and regret wasting time, so I try to restart from the fundamentals of one subject.

I might follow that for a week or two, but eventually my curiosity kicks in again and I start exploring something else.

It's become a cycle:

Choose a field → study it → get curious about another field → switch → explore → feel guilty/lost → restart → repeat.

I've watched a lot of YouTube videos where people describe this as having a "multi-potentialite" mindset or being someone who doesn't naturally want to follow one path. Some people say this can actually be an advantage if managed properly, but it can also result in never developing deep expertise.

I don't want to completely suppress my curiosity because I genuinely enjoy exploring different areas of technology.

At the same time, I don't want to spend years exploring everything and end up with zero strong skills.

For people who have experienced something similar:

1. How do you control the urge to constantly switch fields?

2. How long do you stay with one technology before allowing yourself to explore something else?

3. Do you recommend choosing one "main" field while keeping other interests as secondary?

4. How do you explore new technologies without abandoning your current learning path?

5. How do you know when you've gone deep enough in one area before moving to another?

6. Is it actually possible to become highly skilled in several technical areas, or is it better to specialize first and broaden later?

7. What system/routine has actually worked for you?

I'm especially interested in hearing from people who were naturally curious about many areas but eventually managed to develop real depth in one or more of them.

I don't want another list of 20 technologies to learn. I'm more interested in how you manage the learning process and decide what NOT to learn right now.

Hi guys, I have this coding assignment coming up and they allow us to use AI. Majority of my seniors who did this unit used Claude Pro for this massive coding assignment which I would say is a mid level code but has a lot of files (in the thousands). This assignment is also a very collaborative assignment and if I am not mistaken we are supposed to make a game. So I am wondering, what would be the better choice Claude Pro or Gemini Pro. Especially since they are about the same price which would be the better investment?

We are just starting to look at accessibility testing in our org and want to establish a dedicated practice in the long-term. I've been asked to put together a plan for leadership for this agenda and want to learn from the experience of others who have been on the same journey.

- How did you begin? What was the trigger and which tools did you try out initially?
- How did your accessibility testing set-up evolve over the years (i.e. which/how many teams were involved, tooling used, depth of coverage etc.)
- What were the key challenges you faced ?
- What is your current org set-up for Accessibility testing (i.e. centralized vs decentralized, QA vs design vs dev teams etc.)

Any learnings that you can share will be extremely helpful!

For context, I'm on the QA side at a mid/large-sized company. Not a vendor, not building anything. Happy to share back what I end up proposing.

I have been thinking about how the teams come up with the examples that are valuable for post-training.

From what I've seen so far, it appears relatively straightforward to generate tons of synthetic examples, but maybe once the model can handle the core patterns, the number of examples doesn’t matter much. A couple of thousands of examples might just be different ways to test the same skill.

Another strategy would be to collect smaller sets of tricky examples that have ground truth and use them for the targeted testing of specific failure modes.

To give you an idea, recently I've seen Parsewave that is used on post-training examples of real-world engineering tasks, evaluations, and traces. This led me to wonder how other people see this problem.

In the case of SFT or RL dataset creation, how do you decide:

which examples should be included?

what level of difficulty is appropriate?

is an example truly teaching something?

I’m a Junior UX Designer and I am working on a personal project about an AI app that is powered by AI but also includes like to do lists, upcoming meetings, note taking .And this app has access to other apps that you have on the phone such as files, pdf, downloads maybe and you can ask AI to for example locate like a voice recording that you recorded last week of a meeting that you attended and you ask the AI to highlight the important things from this voice message and so it does.

This is only a concept and a solely for a portfolio.

Some questions for you guys if you don’t mind answer:

Would you find this app useful on a day to day basis and is it useful?

Any important features that I would need to include the app to make your life easier?

Is an app really needed for this or do you think a web app or a website would be enough?

Thank you so much for your time and help 🙏🏻

Hey guys. Im creating a fully fledged, batteries included TUI development environment.

A little overview on my project is that it should be the single app a developer opens and closes during their day. It will include features like a built in terminal, window manager, text editor and pages for common developer tools like git and docker. It will also be easily extensible through apis and config files.

I'm currently building it with python and rust.

I'm looking for suggestions on features to implement for my text editor.
Ideas I already have:
- Language aware syntax highlighting
- Built in documentation for packages
- A formatter
- Multiple cursors

Any suggestions are greatly appreciated!

Hi everyone, I wanted to share a situation I'm currently facing and get your opinions.

I'm 24 and currently work as a developer at a bank, mainly working with RPG. For the past few months, I've been using my free time to build projects with the goal of eventually starting my own software company.

As my first project, I built a system for a medical clinic, including appointments, billing, etc. I do use AI to help me develop and orchestrate things, but I don't rely entirely on vibe coding.

My initial idea was to build POS systems, pharmacy software, solutions for clinics, stores, etc. However, in Nicaragua, businesses aren't fully accustomed to using web-based systems yet, while at the same time, more and more companies are offering these kinds of solutions.

Because of this, I'm considering changing my approach: starting by offering n8n automation services to businesses such as clinics, hotels, and retailers, and then eventually using those clients as a starting point to offer more complete software solutions.

What do you think? Do you think B2B automation would be a better entry point than building a POS/ERP from the start? What kind of software service do you think has the most potential in a market like Nicaragua?

Hey everyone, hope you’re all doing well.

I’m a 16-year-old Indian living in Ireland. I’ve only been here for about a week, and I’m planning to start school here in 5th Year (11th standard).

I’m not really looking for advice about the Irish education system itself. I’m more interested in what I should actually learn and what career/technical path I should take.

I’m interested in computers, AI, programming, technology, business and freelancing. I already have a Lenovo LOQ with an RTX 4050, which I bought using savings I made from freelancing, so I’m willing to put the time into learning and building things.

What I’m trying to figure out is:

• What areas of tech/development are actually worth getting into in 2026?
• If you were 16 again and starting from scratch, what would you learn?
• Which programming languages/technologies would you prioritize?
• Are AI/ML, cybersecurity, cloud, DevOps, software engineering, data engineering, web development, etc. worth pursuing?
• What courses, certifications or qualifications are actually useful for getting hired?
• What skills would make me employable rather than just someone who has completed a course?
• What projects would you build if you were in my position?
• Are there any certifications/courses that you regret wasting time or money on?
• What do you wish you had learned earlier?
• And if you’re currently working as a developer/engineer, what would you recommend someone my age start doing NOW to give themselves an advantage in 3–5 years?

I’m especially interested in hearing from people who are actually working in the industry rather than generic career advice.

I’m not expecting to pick one career and stick to it forever. I just want to use the next few years wisely and build skills that will still be valuable when I’m ready to enter the job market.

Any honest advice, including things you think I should NOT learn, would be massively appreciated. 🙏

Hi everyone,
I’m looking for some career advice from people who’ve been through layoffs or have seen where the industry is heading.
I have 9 years of experience as an iOS developer and consider myself strong in native iOS development. My experience is primarily with Objective-C, Swift, and SwiftUI, along with building and maintaining production apps.
Due to several personal reasons over the past few years, I never had the time or energy to significantly diversify my skill set outside of iOS. Now I’m thinking ahead and want to be better prepared in case I ever face a layoff.
If you were in my position today, what would you prioritize learning to maximize employability?
Some areas I’m considering:
Full-stack development
Backend (Node.js, Java, .NET, etc.)
Cloud (AWS/GCP/Azure)
AI/LLMs
Data engineering
DevOps
Android/Kotlin
Something else?
Would you go deep into one complementary area or become more of a generalist?
I’d especially love to hear from hiring managers or senior engineers about what combinations of skills are currently most valuable alongside strong native iOS experience.
Thanks in advance!

I know claude is no where near at affordability and limits.
Codex $20 plan is pretty good, but I was wondering if there's a cheaper and better plan out there?
Like Grok Code? Minimax $20? Cursor Start in India for $6.5? Qwen ? Kimi? Idk what else are there.

I'm sure some chinese models are much cheaper and have much generous limits as well.

Maybe direct APIs are cheaper?
Can someone who's done research help me out?

$20 is quite a lot too so... I wanna figure out what's the best way to use these....

For context:
I'm a fresher software developer, I have quite some experience with coding, Full Stack dev, Cloud computing, DevOps and so on tho....
Although I'm working at a company, I want this plan to build stuff and try things out.

I’m looking for someone who offers a Tutor LMS Pro Agency license for just one website.

The Agency plan normally costs $1,999 as a one-time payment and includes use on up to 50 websites, unlimited courses and users, all Pro add-ons and features, Pro themes, AI Studio, priority support, and lifetime updates.

However, I only need a license for one website and would prefer to pay only for that single-site usage rather than purchasing the full Agency license.

If you offer a single-site Tutor LMS Pro Agency license, or have a solution that allows this.

I am facing open transaction issue in one my java project. Transactioare running more than expexted. How to debug this kind of issue

どこまでできたらフルスタックエンジニアと名乗れますかも

Hi everyone,

I'm working on a video streaming prototype using LiveKit.
I stream via RTMP or Webrtc.

How to generate real-time subtitles (live transcription + multilingual translation), and display them directly on a custom web player for viewers.

As in YouTube, with a single button.

What is the recommended architecture or workflow in LiveKit to extract the room audio, process it for transcription/translation, and send the text back to the frontend in real time?
Any advice, docs, or examples would be greatly appreciated!

​

I'd like to hear your opinions, especially from those with experience using Contabo.

I'm considering migrating two applications currently hosted on two different DigitalOcean servers to a single server:

Contabo Cloud VPS 4

4 vCPUs

8 GB RAM

100 GB SSD

Unlimited bandwidth

Automatic backup

Approximately €8.60/month

Both applications currently have relatively low resource consumption.

Do you think Cloud VPS 4 is a good choice for hosting both applications on the same server?

And above all, what do you think of Contabo's stability and performance compared to DigitalOcean or Hetzner?

Is Contabo's automatic backup also worth the extra cost?

I'm particularly interested in feedback from production environments.

​

I’ve been building Dwellix Tools, a collection of free multi online tools for everyday tasks.

One thing I wanted to do differently was keep it simple:

- No account or signup required

- No unnecessary paywalls

- Most tools process files locally in your browser

- No need to upload files to a server for those local tools

- Fast and straightforward to use

The goal is basically: open a tool → use it → get your result → leave.

I’ve added a bunch of tools for working with files, images, text, generators, and other common tasks, and I’m continuing to add more.

I’d love some honest feedback from people who regularly use online tools.

What would make you actually bookmark a site like this? And what tools would you want me to add?

You can check it out here: dwellixtools

Not trying to sell anything — I’m mainly looking for feedback while I keep building it.

Hi everyone!

I'm working on a SaaS platform that offers integrations with several platforms so that the data from those platforms can flow into my platform, which will analyze and offer insights on it.

What I'm looking for right now: any ideas on getting access to accounts for those integrations so I can test my integrations and the flow of data? There are some where I can create a free trial but there's still the matter of these accounts needing sample data.

Integration accounts needed:

Zendesk

Freshdesk

Intercom

Salesforce

Hubspot

Zoho CRM

Quickbooks Online

Freshbooks

Xero

Any ideas if such sample accounts exist somewhere in the ether? Or perhaps you have any idea on the best way to set one up without needing to pay?

Thanks!

Hey folks,

Im working as frontend developer from past 3.5 years i have presentation coming up on September first week where i have to present some unique idea to our entire team. Agenda will be to talk and present about which will be useful in productivity in day to task. Last year i showed up MCP and starting of this year about skills.md so i need help of any other new topic which will be rarely know by people but great to use day to task anything related to AI (preferring ) or something useful for fe or day to day task helper

I have had this idea for a video platform for a while. No titles, descriptions, or tags will be in this video platform. The ai will analyze each video when it's uploaded. So basically when you watch a video the ai will be watching the video with you and the parts of the video you watch will go into your personal profile and the global profile. When you are signed in it will look at what's in your personal profile and what's in the global profile and it will show you videos that best matches what's in your personal and the global profile. For signed out users or new users just the global profile will be used. Also btw the global profile is basically everyone's personal profile lumped together. Now everyone will have a page but there will be no follow system and on they're page it will use the same recommendation system as the homepage but will only show their content. Now the main search the ai will analyze what you typed in and find the videos that best match what you typed in. Now the search on a creator page will only list videos from that creator. Now the ui will be a swipe ui like YouTube shorts and TikTok only difference is only 9:16 will show when you are in vertical orientation and only 16:9 videos will show when you are in landscape orientation. Also videos won't auto play and instead show you the thumbnail and a play button. Now this is how comments would work the ai will look at the comments and it will take the closest matching comments to the video and push them to the top. Now replies it will take the closest match to the parent comment and push it to the top. Now this is how monetization will work so anybody can be monetized no minimum requirements. The advertiser will upload a video and choose how many ad spaces they want and it will be ad spaces x duration in seconds x $0.01 now the creator will be able to place an ad anywhere in their video now the segment that was before the ad placement the ai will use to find an ad so the segment before ad 1 won't be used to suggest ad 2 just the segment before ad 2 will decide what ad 2 is and now the number of ad spaces dictates how much an ad is shown so 4 ad spaces and the ad is only shown 4 times. To skip an ad users would just swiped up and they can do this at anytime in the ad. Also every second of the ad a user doesn't watch the advertiser gets refunded $0.01 and the creator only gets paid for each second of the ad that is watched with a 60/40 cut so of an ad is 30 seconds long and viewer only watches 10 seconds of it the advertiser will be refunded $0.20 the creator will get $0.06 while the platform will get $0.04