Disclosure: I’m a Technical Growth Intern at Hackmamba, which published the guide linked below.

Two examples in it made me think about how we test agent onboarding:

• In one Resend test, a person sent a first email in 2:28; Claude Code did it in 1:19.

• In a separate Stripe test, Claude Code chose the legacy Charges API from memory. Asking it to read Stripe’s current llms.txt moved it to StripeClient and client.v1.payment_intents.create, but it still missed the guide’s first-choice Checkout Sessions flow.

“Generated code” and “chose the right integration” seem like different checks. I’d measure time to first call and whether the agent uses the recommended path.

For people maintaining APIs or docs: do you evaluate both? What would you include in a pass/fail test?

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I'm an Indian software engineer at a small US startup that builds healthcare software for clinics. Most of our engineering team is in India. Long term, I plan to move to the US.

Why I want to be there: I don't think I can really understand how US healthcare runs from India. I want to spend real time inside clinics, watching the front desk, intake, visits and billing, in as much depth as possible.

My role: I can code, but that isn't my main job. My main job is to turn real clinic workflows into clear requirements so the India team can build faster. Later, I'll lead the rollouts at clinics once the workflows are right.

Current plan:

• I have a B1/B2 visa.

• Trip 1: observe clinics we work with, then go back to India and write up what I learned. My salary stays in India and I get no US pay.

• As an engineer I'd naturally want to build or fix things while I'm there. My understanding is that this isn't allowed on a B-1, so I plan to keep the trip to observing and meetings. Please correct me if I have the line wrong.

• Next year, the company plans to file an L-1 for me so I can work with clinics in person and eventually relocate.

Questions:

1. How long is reasonable for this first B-1 trip? Friends say 3 weeks at most. I was thinking 4-6.

2. Can I keep helping my India team remotely (calls, code reviews) during the trip, or is that risky?

3. Which visa route actually fits best? We're exploring L-1, but I'm open to anything. My understanding so far:

   • L-1A (manager) leads to an EB-1C green card, but needs one year at a related company abroad, and days spent in the US are subtracted from that year.

   • O-1A has no lottery and no year-abroad rule, but the evidence bar is high.

   • H-1B is a lottery, and the new fee situation is uncertain.

   Which would you pick in my position, and why? Has anyone gone the O-1A route as a startup engineer rather than a founder?

4. If L-1: how should I plan US trips this year around the year-abroad rule? How long does an L-1 last, and what's the usual path from there?

5. If CBP asks about my future plans, I intend to say honestly that we may file for a work visa later. Is there any issue with that?

I'd especially like to hear from people who went from B-1 visits to an L-1 or O-1. Thanks!

I'm an Android developer with 7 years of experience and looking to transition into AI Engineering.

I'd love to hear from people who have made a similar switch or are currently working in AI.

Where should I start? Should I learn Python, ML fundamentals and Deep Learning first, or directly dive into Generative AI, LLMs and AI application development?

Looking for a practical roadmap, recommended resources and projects to work on. I'm willing to invest 6–12 months in making this transition.

Would really appreciate any guidance or personal experiences.

I need genuine advice on how can I improve my resume as an 4 yoe android developer.

how much would you rate this resume for a 4yoe android deveoloper?

also should I mentioned AI assisted developer or something related to AI enabled coding?

I was thinking of adding AI enabled full stack mobile app developer although I don't have experience on backed.

please guide thank you.

Hey everyone,

I’m a final-year engineering student about to enter my last semester. I recently secured an offer at a Big 4 firm (7.6 LPA CTC: 6L fixed, 1L joining bonus, 60k variable), starting with a 6-month internship this January.

Because of my college's placement policies, I’m now blocked from sitting for further on-campus drives. While I’m grateful to have a solid safety net, I want to aim higher and find a role that better matches my skills and experience.

I’ve been applying off-campus and sending cold emails for the past few months, but like many others in this market, I’m barely getting replies, assessments, or interviews.

I definitely plan to take the Big 4 internship and full-time role if nothing better comes along, so I have zero downside. However, I want to give my off-campus search one final, strategic push over the next few months.

For those who have successfully cracked high-paying off-campus roles or made an early switch in this market:

• What channels are actually working right now? (cold mail? LinkedIn?)

• How are you getting past the resume screen when standard applications are going into a void?

• How early to prep for a switch if I plan to do that in the future at the current company

• Does Big4 tag actually help a freshers resume?

I'm currently working as a Test Engineer, and all my official employment documents (offer letter, salary slips, experience letter, etc.) mention the same designation.

I'm planning to switch careers, potentially to a Backend/ SDE role.

What happens during BGV if the designation mentioned on the resume(Software Engineer) differs from the designation(Test Engineer) mentioned in the offer letter, salary slips or experience letter?

Suppose the recruiter says during BGV, "Your previous designation was Test Engineer, and we're hiring for a Backend Engineer position. You mentioned "Software Engineer" on your resume. We cannot consider you for this role." How should one handle such a situation?

Should I change job role to 'Software Engineer' on the documents keeping rest of the details same?

recently built a separate random forest project after experimenting with decision trees on the same dry bean dataset

the implementation includes:

• 100 trees using bootstrap sampling

• 5-fold CV + GridSearchCV

• 92.54% CV accuracy and 92.06% test accuracy

• FastAPI REST API + HTML/CSS interface

• Docker containerization

• input validation and automated pytest tests

the grid search tested 4 configurations and selected the baseline parameters

also included the classification report, confusion matrix and feature importance plots

would appreciate technical feedback on the implementation and evaluation

github: https://github.com/Vaibh37/dry-bean-random-forest

I'm almost a fresher, with very limited work experience, and I'm a little confused about what I should be prioritising at this stage of my career.

Here's a quick background:

- I spent around a month working full-time as an Analyst at my first company. I eventually left because of a toxic work culture, an unexpected change in my role designation, and a 6-day working week that hadn't been communicated beforehand.

- Immediately after that I got a 6-month Product internship at an e-commerce company. There was no PPO provision but my time there was great and I got to learn.

- I eventually joined my current company as a Product Analyst. I've been here for just about a month.

Now, here's where my confusion begins.

My current company is in the edtech/e-learning space. The leadership is genuinely good, the work culture is great, it's fully remote, and the compensation is around 8 LPA, which I think is pretty decent at this stage.

However, I have this concern about getting pigeonholed into the edtech industry. I've noticed that many people who have worked here previously have moved on to other edtech companies, and I'm worried that spending too much time here might limit my options later.

On top of that, just a few days ago, I received a call from a recruiter at a fairly reputed Bengaluru-based company. The role could pay around 14-15 LPA if I clear the interview process.

Now I'm confused about whether I should even consider this opportunity. If I switch, I'll have two very short stints of around a month each on my resume. Does that become a serious red flag this early in one's career? Would recruiters question my stability?

Or should I simply stay where I am, make the most of the good culture and remote setup, and try to complete at least a year before considering another move?

Also I'm unable to feel settled, scrolling linkedin and cold emailing has kinda become my fav passtime.

Would appreciate perspectives from people who've been in a similar situation.

Expectations vs Reality Stories which could help newcomers too.

Looking at current placement trends and tech hiring in India, many students default to standard web dev stacks or basic Python data science scripts. However, for specialized engineering tech roles (robotics, simulation, autonomous systems, computer vision)

Building low-level software competence in C++, memory management, and linear algebra libraries often opens much higher quality technical roles than surface level framework usage.

For engineers working in core-tech or simulation software in India, what technical foundation do you look for most when interviewing undergrad applicants?

I have 4YoE as a backend engineer, prev 2 companies were Fintech and 5 months ago I joined my current company (one of the popular unicorn startups in india which has a really good engineering team too. Non Fintech)

I received an offer from FalconX fully remote but as a contractor, from the conversations I've had it doesn't look like a hire and fire role and they actually have a long term plan for me.

The pros are Fintech back in resume to establish myself as a domain expert in future lead roles, fully WFH, chill WLB.
At current startup it is 5day WFO, 10+ hrs devoted to work daily but lots of learning.

Confused if i should switch again for a 30-40% hike within 6 months.

Current base: 45
Offered contract base: 62

I'm currently in my final year of B.Tech and have an offer of 4 LPA. However, the joining date is quite uncertain and could be as late as December 2027.

I'm confused about which direction I should take next:

1. IT placements: Continue improving my technical skills and prepare for off-campus opportunities (TCS NQT, Infosys, Accenture, etc.) to get a better-paying IT job.

2. Government jobs: Take a leap of faith and dedicate myself entirely to preparing for government exams.

3. MS abroad: Explore opportunities for a Master's degree in a foreign country.

I'm finding it difficult to decide where to invest my time and effort. I don't want to make a decision I'll regret a few years down the line.

I'd appreciate honest opinions, especially from people who have faced a similar situation or have experience in these career paths.

What would you suggest, and why?

I'm a 5YOE frontend engineer and I'm preparing to move to Senior Gen AI engineer roles. I'm very confused about what all things are being asked as this will be a very major career transition for me.

It'll be very helpful if you can share your interview experiences and give a list or some references on what to expect in these kinds of interviews?

I have 5YOE as of now and am working as a SDE-2 as of now.

And is DSA relevant for this job profile during the interviews? And if yes, till what level and specific topics which you encountered?

Thanks

I recently saw a lot of people building around Galaxy with memory (Software) or with another software which allows user's to install other Android OS on their Galaxy through OneOS

What's the secret sauce. Is it only AI or something huge going on?

I've been preparing for SDE 2 roles at top or mid tier tech companies. Currently following neetcode 250 sheet for problem solving and have done 90 problems. I plan to switch in coming 3 months. For leetcode, Im able to do 1 on a weekday and 4 on a weekend on average considering I've to attend 5 days office mostly. My target package would be 35LPA+.

Im thinking like dedicating most of the time for DSA until i cover the sheet. I feel like DSA has more concepts to practice and master and only limited I can learn per day as it is requires more mental energy. I see there is a certain classic set of problems for LLD to pratcice. For HLD, I've read first 3 chapters of Alex Xu's system design interview book for basics. So Im thinking if LLD and HLD practice can be ramped up at last since in these rounds maybe I can come up with atleast basic design as these rounds are subjective too.

Does starting system design practice late be problematic i.e. like DSA will it take similar prep time?

And are there wide range of topics in system design that cant be ramped up quickly and will need spacing? I see DSA patterns cant be crammed quickly as it can be mentally challenging.

I'd appreciate guidance from folks who have cracked mid tier or top tier companies as SDE 2 to efficiently utilize my prep time among these 2 major rounds. I believe for other rounds it wont take significant portion of my prep time.

Thanks in advance.

I'm filling out my TCS BGC form, but my middle name is missing from the Personal Information section, and the field is locked.

My Offer Letter, Aadhaar, PAN and Passport all have my correct full name.

I've emailed ILP support requesting a correction.

Has anyone faced a similar issue?

• How long does support usually take to resolve this?

• Should I wait for the correction before submitting BGC, or proceed with the current details?

I hire for a small startup, and notice period comes up in almost every call. If the role can wait, 90 days is fine for someone strong. If it can't, I ask whether their current company does early release or buyout, and I only take the answer seriously if they've already asked their manager. An offer in hand with a fixed date helps too, since it tells me the date is real. What I'd avoid is saying 30 days and then it turns out to be 90. For those of you who switched on long notice, what actually worked?

Finding good hands-on engineers with 10+ YOE is becoming very difficult.

In India most people are forced to move away from hands-on roles + get into management / architecture / coordination roles with little to no hands-on experience.

I have been taking many technical interviews. Most senior candidates are struggling even with basic hands-on questions. You will be surprised to know that people are not able to tell me output of SQL joins question or write 10 lines of basic python code.

Some keep circling around the question for 5 minutes without actually answering it.

To be frank, I find juniors (3-5 YOE) much stronger. They have good hands-on + try to solve the problem and get straight to the point. Even communication skills, I find them much more better in articulation.

I see many people from US with 10-15+ YOE still working as individual contributors. Many of them are really good. Apart from FAANG and a few top companies, its very hard to find hands-on talent in India.

On Reddit, I keep hearing opposite -> that juniors are writing AI slop and have no idea what they are coding etc. but my reality seems to be opposite.

Wanna understand how current OAs are being done and on what basis will future recruiters be assessing?
I believe DSA System Design CS fundamentals will never go or rather become harder.

Because these are the only things to assess someone's actual logical reasoning

Type of assessments/interviews i faced till now in my journey yet
- take home assignment
- share your entire screen show your github and make me understand about x and x file or project
- interview changing into discussion to better understand my approach
- interviewers checking if i am up to date with new terms or not like i was asked deeply about jev and the cyber attacks that happened recently

According to me if you can think a person can think from first principles really well and apply logical reasoning he/she is the real fit candidate rather than someone cramming depth of a particular niche

I could be wrong and above exp doesn't cover any MNC yet.
My question is specifically regarding fresher roles.

for reference
medhanshk.me
http://github.com/Medhansh-741

Looking for feedback!

I recently built a desktop application that helps during interviews by listening to questions, converting speech to text, and generating context-aware answers based on your resume, notes, and preferred answering style.

The main difference? You bring your own LLM and API keys.

You can connect almost any LLM provider, such as DeepSeek, Claude, or even run local models using Ollama. No forced AI subscriptions or expensive proprietary models. You only pay for the API usage or infrastructure you choose, making it potentially much cheaper than existing alternatives.

I built this after struggling to help a friend during an interview using two phones and WhatsApp screen sharing.

Since this is my first application, I'd love your feedback:

Should I make it open source, freemium, or paid? Would you use something like this?

Suggestions and honest criticism are welcome!

Is there anyone else who is realising agentic development with reels has destroyed their cognitive thinking?

But what's even the sol to it when the friction is removed so much and demand from employers is so high for eg demanding multiple pipelines completely automated deployed app within a day

Ig i will get my hands dirty with CP just to make my own neural network better

Recently I got a job offer as a Gen AI trainer where i want to teach about gen ai topics to college students but the thing is I'm very much interested in coding and development than teaching and also currently doing an internship at a startup as a software trainee which has definite full time conversion but the pay is just 19k per month, but in the gen ai trainer role they're offering me 20-30k stipend but idk bout full time conversion, what should I do should I take the offer or reject it?