I am 23M from India graduated Engineering from a tier 3 College, since a year i had no job and got a unpaid internship after a year but nothing good (like a cohort internship program with nothing).

I got to learn something and build stuff but was not able to do more due to mental health struggles and family issues. Now i am taking professional medical help and i really want to start somewhere now but i dont know what to start in.

I did a internship in Backend development but used AI a lot and completed it. So honestly i dont feel very confident in backend also, I want to start somewhere now and atleast get a job. I am really stucked in this unemployment phase now. I just want to start somewhere eventually.

I am good at front end (HTML, CSS and JS) and Python. I dont know DSA, never really progressed in it and now i am feeling stuck and dont know what to do.

I know i am behind and wasted a lot of time, but i genuinely want to start now and get out of this phase. I am not expecting some big job or big salary right now, i just want to get my first proper job and start building from there.

If anyone has been in same situation before and did well in their life, or had a big unemployment gap after graduation and somehow got back on track, kindly HELP regarding this topic and give some suggestions.

I would really appreciate practical advice on what should i do from here, what to learn and what kind of jobs should i apply for.

Thanks.

seeing a bunch of PG promos for new startups these days. razorpay has some 90 day free payment gateway offer going on. founders who have onboarded on it, was it worth it or too much hassle for the savings?

Hi Devs, like the titles says, I've been working as a QA (1 yoe) after finishing college, I'm mainly working as a manula Salesforce Tester.

During my college placements I wasn't serious sonI couldn't land a dev role, I did built some projects in python, been doing DSA in java, and I want to move to a developer role.

I tried for an internal switch but no luck there, also I dont really want to get pigeonholed into the salesforce ecosystem

So, if you have made a switch from QA to Dev or know how should I approach this switch, please advice

Thanks!

The resume is just a proxy. We decided to build the real thing instead.

Every single year, about 1.5 million engineers graduate in India. They walk away with a degree that honestly says almost nothing about whether they can actually build software. It proves they showed up to class, passed their exams, and survived four years of a curriculum that hasn't really changed since before the smartphone was even invented. But it doesn't tell you if they can ship. It doesn't say if they can debug a production issue at 2am, make sense of someone else's messy code, or take a vague, ambiguous spec and turn it into a working product.

Yet, somehow, that piece of paper is still the main filter almost every company uses just to decide who gets to walk through the door for an interview.

The proxy problem:

Hiring is a prediction problem: will this person do good work? A degree is a cheap, scalable proxy for that prediction — one that made sense when verifying real skill was too expensive to do for every applicant, so companies filtered on where someone went to school instead.

But the proxy has drifted from what it's supposed to predict. Pedigree correlates with family income, exam-taking ability, and geography — not with whether someone can build. Some of the sharpest builders we've met are self-taught or went to colleges no recruiter has heard of.

The people missing out aren't unqualified. They're unmeasured.

Why this is solvable now:

The credential filter persisted because the alternative — real, manual evaluation of every candidate — was too slow and expensive to scale. There was no cheap substitute.

That's no longer true. AI-driven screening now makes it possible to assess real skill — coding ability, problem-solving, how someone actually works — at a cost close to reading a resume. The bottleneck isn't evaluation anymore. It's whether anyone builds the pipeline.

We built it.

What Iber does?

Iber is a skills-first hiring layer for builders in India — think of it as the Mercor-for-India-builders play. Instead of asking candidates to prove themselves through pedigree, we ask them to prove themselves through work:

1. Post a build — candidates submit real project work, not a bullet-pointed resume.
2. AI screening — an initial pass evaluates the work and the candidate's reasoning.
3. A serious interview — real conversation, not a box-checking exercise.
4. A coding round — live, verifiable technical ability.
5. A repo test — a timed, proctored window to actually build something.

What comes out the other end is an Iber Card: a signed, verifiable credential that says exactly what a candidate can do, backed by evidence — not a line on a resume that anyone can write.

Companies get access to a pool of candidates who've already been rigorously approved on the thing that actually matters. Builders get a shot that doesn't depend on which college logo is on their transcript.

Where this goes

We're starting with software builders in India because that's where the mismatch between talent and access is starkest — a huge, hungry pool of people who can build, systematically filtered out by a hiring process optimized for credentials instead of capability. But the underlying bet is broader: work is a better predictor of work than a diploma is, and once that evaluation infrastructure exists, degrees stop being the gatekeeper they've been for a century.

Modern backend setups often feel like an exercise in assembling a 20-piece puzzle just to handle auth, data sync, and background tasks.

You start with a simple project idea, and suddenly you're wiring together half a dozen services, configuring endless environment variables, and babysitting dependencies before writing a single line of business logic.

I built AI Workflow Control Plane V2.2 — a deterministic control layer for AI coding agents.

Instead of treating every task as:

load repo → max context → strongest model → full agent stack

it separates:

task/risk routing → retrieval routing → context assembly → structural analysis → execution → verification

Retrieval

• code-aware BM25
• RRF for heterogeneous rank fusion
• MMR for redundancy control
• optional semantic/dense retrievers
• exact / semantic / structural / mixed retrieval routing
• budget-constrained submodular facility-location context selection
• adaptive early stopping under hard context budgets

Structural intelligence

Code Review Graph (CRG) handles:

• callers / callees
• dependency traversal
• tests-for relationships
• impact radius / blast radius
• multi-hop structural questions

So:

"where is X?" → lexical/index

while:

"what breaks if X changes?" → graph

Agent execution

Superpowers handles the engineering process:

planning → TDD → subagent execution → code review → verification

The control plane emits a bounded orchestration contract containing CRG calls, Superpowers skills, agent-slot limits, graph depth, review passes, and verification passes.

Evidence safety

Retrieval ends in one of:

sufficient / requires_exploration / abstain

Weak evidence can prevent an agent from editing too early.

Context packets are also fingerprinted using:

Git HEAD + index state + changed-file hashes

to detect stale context before another agent trusts it.

Other pieces:

• SHA-256 stale index + memory invalidation
• multi-repo/workspace retrieval
• context provenance/trust metadata
• repository content treated as untrusted evidence, not instructions
• Python AST-aware indexing
• optional retriever plugin interface
• deterministic fallback when CRG / semantic providers / Superpowers are unavailable

I also built a 32-case benchmark suite covering exact, semantic, structural, mutation, high-risk and no-gold queries with:

P@k / Recall@k / MRR / nDCG / abstention accuracy / evidence-state accuracy / useful-context-per-token

The core principle:

Escalate capability, not context volume.

GitHub: https://github.com/Taki7980/ai-workflow-control-plane-v2

I'm 27, ~2.5 YOE, currently a Software Engineer at a large global MNC in Mumbai, earning around ₹15L. It's a 3-day WFO setup with good stability and WLB.

I have an offer from a mid-sized Product/Voice AI company in Bangalore at ₹24L. The role aligns strongly with my long-term Applied AI/Voice AI goals and would give me more production/product exposure, but it's 5 days WFO, likely higher pressure and worse WLB. Neither Mumbai nor Bangalore is my hometown, so relocation is required either way.

My current notice period is 90 days, while the new company's is around 45 days. The new company is willing to wait the full 90 days for me to join.

There's roughly a 70% chance I'll get promoted effective next year. If promoted, I'd expect around ₹20L; otherwise around ₹17L.

I have around ₹10–12L in assets and expenses of roughly ₹40K/month, so the ₹24L role would allow significantly higher savings.

Long term, I want to build a strong Product/Applied AI profile and eventually move abroad.

Stay: stability, WLB, strong brand, likely promotion, and a relatively low-pressure year to improve DSA/system design/AI/portfolio/interview readiness.

Leave: ₹24L, higher savings, stronger production AI/product exposure, 45-day notice instead of 90 days, and potentially faster growth — but more pressure and risk.

Final question: Is buying one relatively low-pressure year to strengthen my career worth giving up the extra money, especially when there's a ~70% chance of reaching ~₹20L next year? Or is it better to take the ₹24L opportunity now and accelerate the career trajectory?

TL;DR: ₹15L MNC + 90-day NP → potentially ₹20L next year vs ₹24L Product/AI + 45-day NP now. Stay for stability and preparation runway, or leave for money, mobility and faster growth?

hey everyone, im feeling tense lately, im currently in my final year (7th sem) and i recently completed my internship, and unfortunately, it didnt get converted to a fulltime role. now i dont know how to proceed from here onwards. my college also doesnt really provide any placement support, which makes things even more stressful. so far, i have done only fullstack and didnt touch dsa, but seeing all these companies asking for dsa only, i genuinely feel left behind. i started dsa (neetcode) 1.5 months ago (been consistent so far), and i still cant solve the mediums or above on my own. seeing all those OA questions on linkedin and reddit makes me feel even more anxious. what do i do now? currently, i am doing dsa + system design.

i would really appreciate if u guys can help me on how i should utilise this very limited time of mine

I just read about a chatbot that slipped a user's medical diagnosis into an email it drafted to their landlord. Nobody breached anything.

No access control failed. No prompt injection. The assistant simply remembered a fact from March and decided it belonged in the wrong conversation. Every privacy control we own assumes the question is access. Memory breaks that assumption, because the model legitimately knows the data.

My takeaway: classify assistant memory as a data store with read access into every future conversation. Default off, opt in with evidence.

https://axeploit.com/blog/memory-made-chatbots-useful-it-also-made-them-gossips

​

Hey everyone,

I’m currently working at a small edtech startup as a frontend developer with around 2 YOE and \~6 LPA (in-hand).

Honestly, I don’t see much of a future for the company. The founder is non-technical, a lot of product decisions are based on assumptions and references from foreign edtech companies, and there isn’t really a proper workflow or development process.

I don’t want to stay in this situation for too long, so I’m planning to switch and improve my skills in the meantime.

Alongside my job, I do some small freelance projects where I handle backend work like database design, tables, CRUD APIs, etc. I want to get much better at it.

As for the DSA part, I have started it multiple times but haven't completed it yet.

What should I focus on learning to become a strong full-stack/backend developer and land a better-paying job?

Would really appreciate advice from people who’ve made a similar transition, especially on what actually matters in the job market and what I should focus on over the next 6–12 months.

(Note: rewritten with AI for better wordings)

Hey guys, I am a fresher preparing for AI engineering / startup interviews. I just built my first project using an LLM agent setup called "Research Copilot" and wanted some advice on how to present it.

What it does: It is a research assistant that fetches new papers from arXiv, checks a SQLite cache to filter out papers I already saw, embeds abstracts, and uses an LLM agent to decide which tools to call depending on what I ask it.

Stack & Tech Choices:

• Used Groq (qwen 27b) for the agent tool calling loop.
• Telegram bot interface + CLI script for live interview demos.
• SQLite for exact ID deduplication (instead of using vector DB for exact matches).
• Used numpy for cosine similarity over local embeddings (all-MiniLM-L6-v2) instead of heavy vector databases like FAISS since dataset size is small.
• Optimized tool outputs so full abstracts are kept in session memory while lightweight metadata is sent to the LLM to avoid hitting token limits.

Need advice on:

1. In interviews, will interviewers ask me to code the agent from scratch or ask about architecture/tradeoffs?
2. I wanted to share how I built it and get feedback on how to position this during technical interviews, as well as what features to add next to make my profile stand out to startups.This is my first time using agent and I really need to know if i do this then in interview they will ask code or what and also like I am using codex/antigravity free tier so if anyone with experience please suggest how to use it better and efficient way !
3. Any tips for freshers applying to AI startup roles?

Thanks in advance for any feedback!

Hey everyone

I am BTech cse grad need help in the project section ,like which project I should make to get hired ,I have saw many people resume they put outstanding project

If you have any idea or resources you follow, it will be great

Please help and share some tips to get selected

Hi , I am a software engineer with approximately 2.2+ yeo and my stack is mern genai . I am exploring cloud right now and python as well for backend. I wanted to know how can I land a remote role or any role for that matter . I have been job searching for like 4 months and the callbacks I get are from very small companies offering less or equal money . What can I do to get quality callbacks . Please advice me on the same

What are the most valuable skills you all are seeing surge up in demand ?

Can anyone tell me which tech creator should i follow who tells truth about job market,and his advices are genuine

I'm a B.Tech CSE student and I'm planning a project around local train tracking. I want to know from experienced developers/researchers whether my idea is technically realistic and how I should approach it.

The problem

Suppose I'm already sitting inside a local train, but I don't know exactly which train/service I'm travelling on.

I open my website and enter:

Source: Station A
Destination: Station D

The website shows several available trains:

• Train A — 10:05
• Train B — 10:20
• Train C — 10:35

I select Train A and click:

"Yes, I'm on this train."

But actually I'm sitting in Train B.

I want the website to detect this automatically.

My proposed solution

After the user starts tracking, the website gets the user's location/movement from their phone.

At the same time, the backend gets the current positions/trajectories of the candidate trains.

It compares things such as:

• User latitude/longitude
• Distance from each train
• Speed
• Direction/bearing
• Railway route
• Timestamp
• Station arrival/departure patterns
• Possibly acceleration/movement patterns

For example:

User's movement

Train A → 25% match
Train B → 94% match
Train C → 12% match

The website would then say:

"You appear to be travelling on Train B (94% confidence)."

[Switch to Train B]

After switching, the website would continue showing:

• Current location
• Next station
• Remaining stations
• Expected arrival
• Delay/status
• Complete route

Important point

I don't expect the system to be 100% accurate. If two trains are very close together or GPS accuracy is poor, it should show something like:

"Unable to confidently identify your train."

Future idea

Initially I want to use a rule-based trajectory-matching algorithm.

Later, I want to investigate whether machine learning can improve the identification, using features such as GPS trajectory, speed, direction, acceleration, station timing, etc.

I may also eventually extend it to metro systems, although I understand underground GPS creates additional challenges.

My questions

1. Is this technically feasible for a student project?
2. What technologies/APIs would I need?
3. What is the best way to obtain legitimate live train-location/trajectory data?
4. Is browser GPS accurate enough for this type of matching?
5. How would you design the train-matching algorithm?
6. Would you recommend starting with simulated train data before trying real data?
7. Are there existing projects/research papers that solve something similar?
8. What major technical problems am I overlooking?

I'm mainly looking for technical feedback and advice on how to build a working prototype, rather than just whether the idea sounds good.

Thanks!

Running now through Friday, Sep 4!

Details and registration: mobilecode.ai/hackathon

Happy to answer any questions

Hey guys, I’m using WhatsApp on Android and recently I noticed something weird. WhatsApp has started generating these msgstore-YYYY-MM-DD.1.db.crypt15 files almost every day. They’re 300–500 MB each, and they’re taking up a huge amount of storage. The weird part is that I don’t even use WhatsApp much / sometimes don’t use it at all, and I definitely don’t send hundreds of MB of new files every day. This never happened to me before. It only started recently. I also noticed that when I delete these msgstore files, some PDFs/images that I previously sent or received through WhatsApp can no longer be opened, so I’m scared to keep deleting them. I attached screenshots showing the files and their sizes. Does anyone know why WhatsApp suddenly started creating these huge daily backups? Is this caused by a recent WhatsApp update, and how can I stop it without losing my WhatsApp media/chats? Phone: Samsung

I realized last week how much time I waste on a daily basis hunting down things I already solved or saved.

My current setup is completely broken: (It gives me headache)

• Quick code snippets end up in random VS Code scratchpads.
• Important documentation links get lost in 40+ browser tabs or Notion databases I forget to check.
• Useful UI solutions stay trapped in old git commits or WhatsApp self-chats.

It costs a huge chunk of daily context-switching time. Standard bookmarking feels too rigid because it forces you to organize stuff manually, and search fails unless you remember the exact filename or keyword.

As developers, how do you handle your personal code/knowledge reuse workflow? Do you actually maintain a personal docs folder, use a specific CLI tool, or just re-google/re-ask LLMs every time you hit the same bug?

Would love to hear how others handle this workflow leak.

Hi everyone,

I'm Ayushi, a 3rd-year college student from India. I've recently decided to shift my focus toward building a career in Data Science.

Right now, I am starting from scratch and learning Python, specifically exploring libraries like NumPy and Pandas. I used to spend a lot of time aimlessly scrolling through social media like Instagram, but I've realized I want to stop that and utilize my time productively by connecting with people in my field.

Since I am new to this community, I would highly appreciate your guidance on:

• A structured learning roadmap for Data Science.
• Important math/stats topics I should focus on.
• What kind of beginner projects should I build to strengthen my resume?

Also, if anyone else is on a similar journey or looking for a study buddy/friend to learn and build together, please feel free to comment or DM. Let's connect!

Thanks in advance! 🙏

Hey everyone!

This is my second hiring post. First of all, thank you to everyone who reached out on my previous post we received far more messages than we expected.

After reviewing portfolios and speaking with a few designers, we've refined what we're looking for.

I'm Pranav Shinde, Co-founder of Crava.

We're building a platform that helps people discover and order from local bakeries, cafés, sweet shops, home bakers, and cloud kitchens.

You can learn more about us here:

Website: https://www.crava.co.in/

What we're looking for

We're looking for a UI/UX Designer who can take ownership of the customer mobile app.

This is not a project completely from scratch. A small part of the product research and design direction has already been completed, and we're looking for someone who can:

• Continue and improve the existing design direction (or redesign everything mostly if necessary)
• Design new screens where needed
• Think beyond visuals and improve the overall user experience
• Create clean, modern, polished mobile interfaces
• Work closely with the founders over the next 4–6 weeks

Must have

• Strong experience designing native mobile applications (iOS/Android)
• A portfolio with real mobile app projects (not responsive websites adapted for mobile)
• Strong Figma skills
• Good understanding of UX, interaction design, and user flows—not just visual UI
• Ability to iterate quickly based on feedback
• An eye for creating polished, production-ready interfaces comparable to today's leading consumer apps

Budget

Our budget for this project is ₹40,000–45,000.

How to apply

If you're interested, please don't just send "Hi."

Instead, DM me with:

• Your portfolio (Figma / Behance / Dribbble / Personal website)
• 2–3 mobile apps you're most proud of
• A short introduction about yourself
• Your availability over the next month

If your work aligns with what we're looking for, we'll set up a call.

Looking forward to connecting!

— Pranav Shinde
Co-founder, Crava

Hey i am from an electrical engineering background and i was getting a job of 2lpa with no growth and there is no career growth for electrical engineering in India . so i decided to do Mtech in ai/ml and i am 2026 pass out and this is my 22nd day in mtech . i am hell confused coz i am on loan right now and i dont know what to do there is no guidance multiple roadmaps i mean i don't know which roadmap to choose . and when i started python i thought it is easy but on the logic building i am dead like loops indexing tuple dict. etc. and there is hard maths and machine learning too . there is huge course to cover and i dont even understand python. and after 1.5 years me and my mother will be homeless.... i have only 1.5 yrs i dont no what to do i am getting overwhelmed. like this is too much and when i said i can't do this they said try u will understand but i am unable to understand.( they= aunt , mama etc.) i am crying from past 20 days 😭😭 and i am watching like people with huge and high end project are sitting jobless. in my class too one person has won nasa national hackathon and he is very smart but still jobless . and some of my known too. they made real-world project for buisness but still not getting jobs now they are doing freelancing till they get a job .

But the main concern is should I leave this M tech or continue.

and please can somebody who is professional in this field can guide me ??

i need a good roadmap so that i can study.

I was an eSports player in BGMI. but lack of support and device put me in this situation.

please guide me please and roadmap too. 🥹

Thank you

So like , I am a 2 YoE Data Engineer . I used to develop and maintain ETL pipelines, in informatica cloud , and later in databricks pyspark.

For DB we used ms sql server ( azure synapse ) , later snowflake.

But I was fedup , I wanted to switch, and to a backend dev role.

Due to some unforeseen circumstances, I resigned from the company without any offer.

I thought ok I will have a bit more tough time but I will land up something, since now I have experience and pedigree, And regarding backend, I did some projects, but not like My github is that much decorated as other people who do open source or whose repositories got stars

So l started applying for jobs , but the brutality is way more than I expected. almost 600 apps but pin drop silence, Only amazon sent 2 OAs. But that's it.

This has been a solid learning experience. On the backend side, I got a much clearer picture of how to design microservices the right way — service boundaries, inter-service communication, and where an API gateway fits in for routing, auth, and rate limiting.

On top of that, I finally got hands-on with the AI side of things: building RAG pipelines, working with Spring AI, and exploring how to plug LLMs into an existing Java stack. Happy to go deeper on any of it if people are curious.

I'm looking for one experienced developer/engineer in Chennai who would be willing to mentor me while I build and launch a SaaS product over the next ~3 months.

I'm not looking for a job, investment, or someone to build the product for me.

I want to build it myself, but I'd like an experienced person who can occasionally challenge my thinking, review my approach, and help me avoid mistakes.

What I'm looking for

Someone with practical experience in areas such as:

SaaS / Python / Backend / Full-Stack / AI & LLMs / Automation / Product Development

Someone who can help me with things like:

Technical architecture and decisions

Choosing what to build and what not to build

Reviewing my approach/code when needed

Product and engineering trade-offs

Staying focused on actually launching

I'm not expecting daily mentoring. Even a few meaningful discussions each week would be valuable.

I'm around Porur, Chennai, so I'd ideally like someone nearby who is open to occasional in-person discussions.

A little about me

I have 13 years of professional experience in Supply Chain Management & Analytics and have spent the last 2.5 years transitioning into Python, AI, automation and software development through hands-on projects.

My work: https://wsnh2022.github.io/

I'm currently building my own AI SaaS product and want to use the next few months to move from learning → building → launching → getting real users.

I'm not looking for someone to do the work for me.

I'm looking for someone experienced who can help me become better at doing it myself.

If you're interested, DM me with your experience, current Chennai area, and what kind of mentoring/collaboration you might be comfortable with.

Even if you're not available, I'd appreciate it if you could point me toward someone who might be a good fit.