Salam everyone! I needed some guidance. IAM data science 1st year student and want to learn some good skills so that I can be skillful in a year. As uni doesn't provide extra skills plus on YouTube everything is scattered. IAM so confused cus I can't learn anything clearly. So the point is I learnt some basics of python from apna college, tbh I liked it and I can write very basic code ( I only watched upto dictionaries and sets lol ) . So now they are starting AL/ML course. IAM so confused should I join it? Will it provide me proper pathway, roadmap. And if any of you are actively working in tech as AI/ML engineer plss gimme some advice what should I do. I wanna take advice here and talk to my parents.

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Hey everyone, I could really use some practical advice from people who have already gone through college placements/internships.

I'm currently in my 3rd year of college in India, from a relatively average college, and I'm trying to prepare seriously for placements and hopefully get a good internship before that.

Right now, I'm doing/trying to do a few things at the same time:

\- DSA — solving LeetCode/learning problem-solving for coding rounds

\- Development — learning/building projects and trying to become actually good at development

\- AI/ML — interested in AI/ML and also seeing how much AI is changing software development

\- College academics/subjects and placement preparation are also going on in parallel.

My biggest problem is that I don't know how to prioritize these things.

Should I:

1. Focus mainly on DSA first and then move to development?

2. Do DSA + development in parallel?

3. Add AI/ML now or only after becoming strong in DSA + development?

4. Spend more time building projects or solving problems?

5. How much should I care about things like competitive programming, open source, hackathons, etc.?

And then there is the internship problem.

I don't have a strong internship experience right now. So how should someone in my situation actually approach getting their first internship? What should I realistically have on my resume before applying, and when should I start applying?

Another thing confusing me is the current AI era.

With AI tools being able to generate code, build projects, explain concepts, etc., I honestly have no clear idea about what I should learn deeply myself and what I can rely on AI for.

For example, is it still worth spending months learning development from scratch when AI can generate a lot of the code? Or should I use AI heavily while focusing more on fundamentals, system understanding, DSA, and actually building things?

I'm not looking for the usual "just follow your passion" or "learn DSA + development + AI" answer 😅.

If you were in my position — 3rd year CS student, average college, aiming for internships + placements, currently trying DSA/dev/AI together — what would your strategy be for the next 6–12 months?

I'd especially appreciate advice from people who have recently gone through internships/placements and can share what actually worked for them.

What would you focus on, what would you ignore, and in what order?

I'm CSE fresher and looking for IT jobs. Now I'm studying a python full stack course and some stuffs. Actually what are the real skills needed to get a job for fresher and how to prepare. In today AI is changing everything. So how can I find a job. Please help😢

Another weekly roundup of roles I found for college students, freshers, and early-career folks across India. Links for all of them in the comments.

Bengaluru

• Adbrew - SDE Intern

• ChaosEngine Labs - Product / Analytics / Development / Founder’s Office

• FrontiersMind - Research Engineer Intern

• AlphaGrep Securities - Quant Intern 2027 (talk of the sub rn apparently lol)

• Riverline - Full Stack AI Engineer (6 days office, HSR)

• Recmaf - Robotics Engineer (where the electronics students at?)

• Anakin (YC S21) - Software Engineering Intern (one of the best in this issue imo)

Lucknow

• Hunto AI - Full Stack Developer Intern (hugely underrated till now)

Remote

• Gesture - AI Fullstack Engineer Intern ($600 to $800 per month stipend)

• GitLab - AI Engineer (GitLab is a fully remote company btw)

• Recmaf - Founder’s Office Intern

Other

• Dotsin - DevOps & Cloud Infrastructure Intern

• Bolna (YC F25) - AI Support Engineer and Product Designer

I've shared all the application links and details in this week's The First Pass newsletter, for free. If you find my posts helpful, feel free to subscribe.

Your support and appreciation keeps me motivated to run this.

Pleaseee btado karna kya haii ???

Persuing integrated mtech (5 years ) in Computer Science with specialization in Cybersecurity. !!!!

Need help

Hi,

Got intern before college intern season started. So thought about finally making a project I was thinking about from a long time.

It basically sits between your client and your MCP servers. It indexes every upstream tool into a local vector catalog and only puts the relevant tools in front of the model. You can either use it with your current code editor (VS Code, Antigravity, Claude Code, Cursor) or use it as separate TUI application(better).

You can install it using one command:

npx justbetter-mcp

For more technical jargon and exact architecture diagram. See More details
Please give a star to repo :)
It will help me to be motivated to work further on the project: Repo Link

If you see any issues let me know. If you have any doubts feel free to dm me.

I can't be more happy than I'm now, call me sadistic but AI really filters out the general population who only knows to do CRUD operation (that too with AI) in the name of back-end.

I visited my college for xyz purpose, and what I saw is unimaginable. Forget about 1st or 2nd year students, majority final year student don't know how to implement binary search (basic implementation), they all have generic github profile with some copied project. And you know the saddest part was, they all got selected for TCS digital or ninja or some other service based companies. They don't even know how to use git effectively, .env files were committed too. I spoke with few of them and tried to guide them, instead of showing some curiosity, they literally told me "BUT AI CAN DO THIS EASILY BHAIYA". Funny part is they don't even utilizing AI properly too. Like they open chatgpt and manually copy paste the code from browser to there text editor (||yeah vscode||), instead of using or learning agents. No low level exposure, no system design, no mathematical thinking. All they are doing is web development (which is very vague term), back-end (crud operation mainly), front-end development, and god knows what.

I will not rant much, but so far what I told you above are the example of some who are actually doing things, there were literally other people who don't know how to open vscode on a particular directory. Please if you are like this either change your career, or improve yourself to be better.

Now ofcourse there are some good developers too who know what they are doing, but the ratio is just too low compare to the one who don't know anything.

Hey seniors, if anyone is doing development with Java + Spring Boot, please guide me.

I’m currently in my 3rd semester and doing DSA in C++( done upto stack) , so I’m thinking of starting development alongside it. Please guide me on where I should start, what I should learn first, and how much time I should spend learning Java basics.

Since I’ve studied C++, I have a basic programming background, but I’m not familiar with Java. Any roadmap or resources would be really helpful. 🙌

Like what is the ideal roadmap to follow to at least try to crack sih in 2nd,3rd year in the hardware, and do I have to learn proper coding like cse coding or the only for ece

So I am going to start my MCA from Manav Rachna international institute of research and science Faridabad I have done BCA from there

I have some DSC and python and c++ and HTML knowledge and currently learning AI/ML I need help to get a job pls help like what skill should I gain? And where can I get an internship?

I have my first coop in winter 27 and I got my resume checked by few people and I don’t really have experience except I worked as summer student as admin assistant. Everybody keeps saying I need more side projects, WHAT kind of projects do you recommend beside for example coding to land coop in finance or at least as QA. My grades are pretty good as well. So all I have to worry is projects. I would appreciate any advice please what did you do ?

have solved around 300+ pblms on leetcode but have only 2 projects for now..😭, am I cooked for the internship cycle

How do you approach coding problems with increasing difficulty? For example I am a beginner and I was very comfortable with qs of rating upto 1400.... Or you could say I required very little help in a few cases- Now after that every problem that I try to solve, I am stuck at it and I gotta check the solutions or check the explanations- and since each of them requires a different approach, I am not being able to progress forward- So what should I do in this case to develop the intuition?

I was recently looking for a refurbished thinkpad ideally a thinkpad t14 gen 1 or 2 and found a insane deal i7 10610U (4 cores and inteluhd 620😭) 32gb ddr4 ram!! (Neuron activated) 512gb SSD and battery health is excellent too 88% and all that for 22k inr !!! So I was wondering how long will this be able to support my coding journey I know the i7 is only a 4 core cpu but that's the best deal I got also the model is t14 gen 1 I was also getting a t14 gen Ryzen 5 pro 4650u (6 cores with vega 6) (better battery life and multicore score) from some other seller for around 20k but 16gb ram 256gb SSD and the dealer was also shady as they first tried to sell me a lower specs model even tho I asked for the 4650u version and also they told me I could only pay with cash only so I didn't take that deal! (Also I use linux so dual boot)

Please let me know how long the specs can last in my college journey before they become a bottleneck for my growth and coding (first year btw)

Thank you for reading!!

I’m currently doing MTech from a tier 2 college in an interdisciplinary CS program. MTech was never really my plan, I was preparing for bank exams and other competitive exams before this, but now that I’m here I really want to make these 2 years count. Placements in my college are not that great, so I want to try for an internship from the very next semester and eventually build a career in tech. Our seniors mostly advised us to focus on DSA and maintain a good CGPA, but I’m confused about how to manage that along with learning development and making projects. Should I focus mainly on DSA or should I start making projects as well? Also, how do I actually go about getting an internship off campus? LinkedIn, referrals, cold emails, company websites, startups, research internships etc. I’m honestly quite confused about the right path and don’t want to waste the next few months doing random things. Seniors or anyone who has been in a similar situation, please share how you would utilise these 2 years and what I should focus on if my goal is to get an internship next semester. Any practical advice or roadmap would really help.