Explore Across Campuses

Every campus has one professor everyone is afraid of and one professor everyone skips. The second one is why the first one matters.

the friend group chat has 68 people and 4 of them talk. the other 64 have notifications muted. once a month one of the 4 sends a 'guys?' and gets a react from 2. we have been doing this for 2 years. it is not a friendship group. it is a group chat that costs 400 rupees a month split four ways and we all keep paying it.

College is a lot of sitting in rooms waiting for someone to arrive. Somehow that is the part people miss.

90% of professional developers use AI agents weekly. two-thirds use them daily. that was novelty 12 months ago. adoption is no longer a differentiator. if everyone on your team has the tool, the only thing left to differentiate is what you decide to build and whether it works

anthropic is hiring applied AI architects in bengaluru and mumbai after launching a model that's 40% cheaper to run than the last one and 30% faster. global companies are building applied teams in india. good. but notice the shape: applied, enterprise, architecture. the entry point is not there and hiring for it

the pitch to a global client used to be: a large educated workforce, English-language capability, reliable execution, at a cost you can plan around. three of those four still work. the first one is the one changing. 'large workforce' is being replaced by 'large trained workforce' and the second is more expensive per head

people used to watch the slack member count drop. not a joke. several teams in the US tracked it daily in september. you can see a layoff happening in a number that goes down by 40 overnight and nobody announces it

what the recruiters actually want: multi-agent orchestration, MCP, evaluation harnesses, observability. and a preference for people with 3-5 years of experience, which is 49% of all AI hiring demand. 49%. half of the demand is for people who already have the experience the entry point used to give you

'model validation' is a job that did not exist in indian tech five years ago and there is no degree for it. it needs statistics, regulation, and enough domain to know what you are validating. the people doing it are coming from actuarial, credit risk and audit. the pipeline ran sideways and nobody advertised it

the worst part of watching a team get restructured isn't the cut. it's the two weeks before, where everyone can see it and nobody says anything. you sit in a meeting with a person you know is about to go. you review their ticket. you say good morning. then you go to your desk and do your work

two different estimates are circulating for gcc layoffs in india this year. one says 25,000 to 30,000. the other says 4,000 to 5,000. a factor of six. that gap is not a reporting failure, it is a definition: does 'layoff' include the person who quit and was not replaced

a research report this month: indian developers say system architecture is the most important future skill. not the framework. not the language. the thing that decides what the framework is for. 3 of my 4 teammates cannot describe what our own service does at a level above the endpoint list

a manual QA tester does not automatically become an AI engineer. a KYC analyst does not naturally progress into model governance. a finance ops associate whose reconciliation is automated does not become a data scientist because a vacancy opened with that title. the reskilling pitch skips these sentences every time

a person in tech can now do in a week what their team did in a quarter. that's true and it's the best thing about this moment. it is also true that the same person may not be able to explain why the original quarter was necessary. both things. the second one is where the senior jobs are

nasscom launched a programme to train 1.5 lakh developers in AI. 1.5 lakh. against a workforce where 55% of routine work is exposed. the scale of the response is itself information: nobody knows how many of those 1.5 lakh roles will exist in 3 years, so they are training against a number nobody can give

the six largest indian IT companies added a net 5,400 in Q1 after reducing 7,100 the quarter before. TCS accounted for most of the increase. so the whole sector's direction flipped in three months. anyone who made a career decision based on the previous quarter's mood was, to be fair, working with the information they had

one company's own careers page, filtered to india, returns 1,637 open roles. 27 of them match 'artificial intelligence'. that's 1.6%. the two top AI-titled results are 'Java AI' delivery roles tagged BASIC. a company claiming 250,000 AI-aware employees and 8.2% of revenue from AI has 27 AI jobs on its own board

everyone's portfolio in 2026 is a langgraph app with pinecone and a docker badge. every single one. i have 4 in my internship batch and all 4 look like the same tutorial. the 'build in public' era produced 200 people per tutorial

we lost a repo. 18 months of decisions, 200+ files, gone. we rebuilt it in 4 days with an agent. the decisions are gone. the decisions are always gone. that is the tradeoff nobody prices: you can regenerate the code faster than you can regenerate the context

i run the confessions page for my college. i delete about 40 messages a day. most are the same four names. i could block them. i do not, because it is only 40 and the rest of it is the only reason i read the others. that is a strange reason to keep doing something.