Vanashree Gramvikas PratishthanParner, Maharashtra, India
Registration No.: Maha./597/2013/A.nagar
🌐 https://www.vanashree.org.in/📧 vanashreegramvikaspratishthan@gmail.com
#RemoteVolunteer #Volunteer #NGO #Environment #OpenSource #AnimalWelfare #ClimateAction #Vanashree
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One thing I wish someone had told me as a fresher is that delaying your job search makes everything harder. At first, you think, "I'll apply everywhere and someone will definitely take me" but as the gap grows, the pressure increases, confidence drops, and suddenly interviews become more about explaining the gap than your skills. I've seen things like this happen, and I don't want others to face the same situation. That's why I built a platform that helps freshers evaluate and improve their resumes, personalize their outreach for different job descriptions, and speed up their job hunt so they can grab opportunities at the right time instead of losing months. I'm still improving it, so I'd love to ask what else do you think would genuinely help freshers land their first job faster?
Hey everyone! I just released the TestFlight beta of Inveniq, a photo manager that lets you search your library by what's actually in your photos — the text on a receipt, a whiteboard from a meeting, or auto-detected stuff like "sunset", "concert", "snow".
Everything runs on-device using Apple's Vision and OCR frameworks. No servers, no uploads — your photos never leave your phone.
What to try:
TestFlight link: https://testflight.apple.com/join/FRUP397T
Open to questions, feature ideas.
Looking For full stack developer
For my project
Note We Have to communicate on whatsapp if you dm me i will send you link to my whatsApp as I'm inactive on reddit.
Preferred Experienced Person Only
I need a vps for one day for rent
​
I have two years experience in BPO Finance and banking industry and graduation degree in BCA. I learnt Mern Stack, made some good projects and I'm ready to start applying for Software roles but should I fake my two year experience as an IT experience? I can explain fake projects and skills.
Big MNCs do background checks i know it but what If I only apply for remote jobs and startups. Its easy to create an experience letter and offer letter with AI.
Anyone who faked it and how it's going now? If you can't share here then text me.
My humble advice to all the juniors and students, please stop using AI for doing day to day coding tasks, project or any sort of learning. It is destroying your ability of learning and making you a weak engineer!!
A bit of context about myself, I’m a senior MLOps engineer at a large US based Fortune 500 company. I’ve been working in various domains well before AI. I’ve mentored juniors both before and after era of ChatGPT. And I have seen a rather terrible revelation!
Whenever I gave juniors a task which is often 3-5 lines of if else or for loop code. they gave it to ChatGPT. The ChatGPT then try to generate a bloated 50 lines of code. When I ask the junior to explain the code. Obviously I will not get any answer from them.
I interview a bunch of new grads, they would throw around the buzzword frameworks. But when I asked them what exactly it means or what is it used for. For is the internal working at least on the surface level. No response!
The way I learned development and o believe most of my fellow seniors would agree with me is my coming in front of an obstacle and scanning documentation, going through stack overflow; digging codebase and most importantly trial and error.
This process is seem to be out of touch from today’s kids. I would highly recommend people to not use AI at least during the process of learning
I tried cline previously it's not helping me out and I used continue too tried claude code version but It didn't helped me too so please help
Hey everyone,
I am currently working at Cognizant making 4 LPA .2025 Passout. I have a solid coding background but ended up in a service company due to bad luck during college placements. I want to break into a high-tier product company with a premium package, so I am preparing for GATE 2027 while working.
Initially, I thought about switching, but with the current market, a switch might only get me to 8–10 LPA, based on my previous salary , which isn't my target. I want a major upgrade.
My main question is: If I do not get into a top IIT in GATE 2027, is a 2nd attempt for GATE 2028 worth it?
I love notepad. I get optimisation anxiety when I use obsidian or notion or mostly any other text editor apart from neovim.
So I made a notepad for myself.
Then I wanted to minimise context switching to access my AI so I built ways to have it right there at the cursor.
I broke pi, kept the auth and createAgentSession, and threw away everything else. Then I put it in my own harness. I call it sushi.
The point is to have an app to take notes, and have your cursor be the primary target to access all of the app's features. No windows, menus, sidebars (I have one for navigation right now but I am taking that out in my next build)
I think I'm ready to share a test build for people to try out. Not ready to open the repo yet until I harden some security stuff and de-slopify a little.
Will drop a link to a web page with the executable in my next post or maybe here in this post ASAP. I just gotta get the web page up.
Let me know if this looks interesting to you! My immediate next target is to get a webpage up with some docs.
PS: I was so excited, I did a screen record. Hence, the low quality. Next time I'll use obs and link to YouTube directly.
Will release more stuff on this YouTube:
PPS: I am a civil engineer. Not a dev. This is completely vibe coded. But I've tried really hard to get into the weeds and make it well. I'm going slow and steady. Been at it for 3 months at this point.
I want public opinion how environment is looking
It’s a single/multiplayer game
Hey guys. Tbh, I am feeling a bit lost and anxious right now. I completely messed up my 12th boards and scored just 49.83% (PCMB). I know the 60% placement criteria is a massive roadblock, so I am currently giving my improvement exams. Thankfully, the papers went way better this time, and my last exam (Bio) is tomorrow!
Once this is done, I’ll be starting my B.Tech CSE at a local Tier-3 college. I am ready to grind my ass off for the next 4 years, but I need some no-BS, brutally honest advice from seniors. Please don't sugarcoat anything.
A few things I need help with:
* **College CGPA vs Skills:** I know on-campus placements will be non-existent for me. Should I just maintain a decent 8.0+ CGPA and put all my remaining energy into grinding LeetCode, Open Source, and building a crazy portfolio?
* **The 4-Year Roadmap:** What exactly should my timeline look like? When to start DSA? When should I shift to Web/App Dev? And how do I even land off-campus internships with zero college backing?
* **Salary Reality Check:** What is the actual starting salary for a Tier-3 grad right now? Online, you either see 3 LPA mass recruitment or 30+ LPA off-campus flexes. What is the realistic middle ground, and how do I push myself into the 10+ LPA bracket?
* **The "Jobless" Paradox:** We keep hearing that tech is booming, yet thousands of freshers are sitting unemployed. What exact mistakes are these Tier-3 students making from Day 1? What traps should I avoid?
* **Location Disadvantage:** I live pretty far away from major tech hubs like Mumbai, Pune, and Bengaluru. Is this going to hurt my networking chances? How do I bridge this gap online?
I just need the right direction. If you were in my exact shoes today, what would your Day 1 game plan look like?
Thanks in advance!
I started my career in the late 2010s, and I have had a front-row seat to the growth of the industry that has given me everything: software engineering.
Looking back over the last decade, I have mixed feelings about some of the calls I made. And I am seeing the same patterns play out again now. So for engineers who are confused about where this is headed and how to navigate it, here is how I think about it.
The late 2010s, I saw an huge amount of startup funding, globally and in India. Flipkart, Snapdeal, Jugnoo, and hundreds of others were scaling hard and one hiring pattern I saw was that: everyone wanted generalist software engineers. People who could easily get upto speed across the stack.- backend, frontend, infra, deployment and simply ship.
Building software was expensive. Automation was still low. Kubernetes had just gone mainstream. Shipping still meant a surprising amount of manual work: SSH-ing into servers, copying artifacts around, running mvn builds by hand, debugging deployments straight in production, duct-taping infrastructure that today you would never touch.
Companies fought over engineers who maximized feature throughput. Breadth was a premium, because every extra engineer increased the rate at which software got built. It helped because the money was also free and VCs rewarded growth over efficiency, and hiring software engineers in bulk was the easiest way to spend it.
Pull up a resume from an engineer who started around that time and you will usually see the same shape: a long list of technologies and frameworks, broad and adaptable, but rarely deep in any one thing. There was no incentive to go deep.
LLMs did not kill software engineering. It compressed the cost of implementation. The work that got hit first was the work that was already standardized: CRUD apps; API integration and glue code; Framework-heavy backend work; Frontend scaffolding; Standard architectural patterns.
What used to take a team can now is being done by a 2-member team and AI. That is why implementation-heavy roles are becoming low-leverage work.
If your main value is stiching systems out of known frameworks and well-understood patterns, you are now competing with AI-assisted developers, technical PMs, founders, and small teams that hit the same outcome with a fraction of the headcount. Some of what feels like an AI correction is just the cheap-money era ending. Both are happening at once, and it is easy to blame all of it on AI.
I don't think software engineering is disappearing. I think the market is repricing it. For years it rewarded implementation throughput. Engineers that were able to move fast and build stuff are becoming obselete overnight. These are large middle—implementation-heavy generalists whose value was mostly shipping software built from known patterns.
The distinguished engineers sit above this collapse because their value was never implementation bandwidth in the first place; it was depth, judgment, and ownership. The middle layer never had any moat.
That is where I see the real identity crisis. A lot of these engineers built genuinely successful careers in a market where implementation itself was scarce. AI took that away almost overnight.
As implementation gets cheaper, expertise gets more valuable. Not generic expertise. Deep expertise in domains where correctness, latency, safety, or operational complexity dominate.
Even the senior Java engineer with fifteen or twenty years in isn't valuable because of Java. They are valuable because they have spent years debugging distributed failures, running mission-critical systems, learning failure modes the hard way, and making architectural trade-offs under real production pressure.
It is not prompting but it's judgment earned through experience, not code generation.
Like a lot of people, I have spent time building AI-native tooling myself (Barebone). And ironically, even this layer is crowded already.
Agent frameworks, orchestration libraries, workflow engines, thin wrappers around foundation models—they are multiplying faster than they can meaningfully differentiate. Calling yourself an "AI engineer" is not going to be a moat.
I dont think LLMs eliminate engineering. PMs and domain experts can increasingly build prototypes, validate ideas, and ship internal tools with AI-assisted workflows. They are moving into what used to be engineering territory but mostly at the prototype layer.
Production is a different animal. It still needs engineers who understand reliability, scale, security, performance, observability, and operational trade-offs. The market is not killing the generalist software engineer but it is collapsing the premium for implementation-heavy work and raising the premium for deep expertise and real systems intuition.
For the first time in a long time, I think the biggest returns in this field come not from knowing a little about everything, but from knowing one hard thing exceptionally well.
AI was used to assist with grammar and editing.
Hey everyone,
For the past 3 months my team and I have been heads-down building DevConnect and today it's fully live and completely free.
The idea came from a frustration most of us know: your tools are scattered. Your portfolio is somewhere, job boards are somewhere else, your dev community is on Slack or Discord, and if you're shipping a Google Play app you're manually hunting for testers in random Reddit threads. We wanted to fix that in one place.
Here's what's on the platform:
**Profile** one public URL with your skills, stack, projects, experience, and socials. Your profile is your application. No resume, no cover letter.
**Jobs** companies post with stack, salary range, and work model upfront. Filter and apply in one click.
**Communities** tag-based feeds to share posts, code, images, and link your own products inline.
**Chat** real-time DMs and group rooms with code snippet support, password protection, roles, and moderation.
**Mentorship** browse mentors by stack and focus, book a slot, get automatic reminders.
**Store** sell products or dev services directly on your profile. Clients leave star ratings.
**App tester exchange** this one we're especially proud of. If you're trying to publish on Google Play, you need 12 testers to run your app for at least 14 days before you can go live. Finding those testers is painful. On DevConnect, you can post your app and recruit testers directly from the community devs helping devs.
Everything is free.
No paywalls, no hidden tiers we just want developers to actually use it and tell us what's broken.
→ https://devconnectplatform.com/
If you're currently stuck trying to find Google Play testers or just looking for a cleaner way to keep your dev presence in one place, give it a try.
Happy to answer questions in the comments.
Sarvam-105B markets itself as a model trained from scratch in India. With no system prompt it confidently says exactly that - "trained from scratch in Bengaluru, India." Sounds great.
So I ran a small reproducible study (96 completions, 8 conditions, temperature 0) to stress-test that claim.
Findings:
The most straightforward reading is that a large chunk of the training corpus is Gemini-generated text, which sits uncomfortably with "curated in-house from scratch." The Sarvam identity layer is real but it's thin - one system prompt away from dissolving.
Not a hit piece. The weights are open (Apache-2.0) and the recommendations in the report are constructive. Batch 2 will dig into the tokenizer and config against reference Gemini/Llama tokenizers - the structural evidence that would either corroborate this or honestly bound it.
Full methodology, verbatim evidence, and limitations:
https://github.com/abi-chatterjee/sarvam-105b-identity-probe/blob/main/REPORT_batch1.md
Raw data and harness in the repo if you want to reproduce.
Hey everyone! 👋
We're a London health tech startup building a smart insole that tracks how you run, and we're looking for interns to join the team over the summer.
This is a for a founding intern position at an early-stage startup
Funded by a company backed by a16z.
Two tracks:
- Hardware (PCB, ESP32, embedded)
- App dev (React Native, BLE, mobile)
If you're interested or know someone who might be, drop me a message or apply here: https://forms.fillout.com/t/pEwy7e7C1jus
Hi, so I am a 20yr old trying to get into tech by getting an admission into BCA this year.
I passed out 12th (PCMC) two yrs ago, but couldn't do bachelors for a lot of reasons.
I decided to join a college this year, but iam not sure if that's the best option for me because of the following 2 reasons:
Idk if I'll be able to afford college for the next three years even in this cheap ass college. (Yes I know about scholarships, and no that's not enough for me right now 😭).
Idk if it's even worth dreaming of getting into tech as an average student. Feel like if you are not able to build a spaceship on your own before graduation, you are not even considered for a job.
So, I was thinking of getting a full-time instead of college to pay my bills and keep building stuff in my free time and hopefully transition into tech in the next 3-5 yrs.
Is this feasible given the job market?
Do I have any chance at tech at all, as a broke and not-so-intelligent student with limited time?
Should I just let tech dream go and give up on this entirely and try to find something else?
Or any other way that iam just not seeing ?
Help a lost soul out 🙏🏻.
Please give me a rough idea about the charges and tech stack that will be used
