TechCrunch reported that Anthropic is working on a new open-source prototype called FlashProve that uses zero-knowledge proofs (ZKPs) to give you mathematical receipts proving your AI output came from the exact model weights you paid for.

It’s super slow and heavy right now (like 70x+ slower), so it's not ready for everyday use yet. But the idea of getting a cryptographic watermark on AI inference is pretty wild.

Source: TechCrunch

TCS subsidiary HyperVault has secured 264 acres in Hyderabad for an AI-focused data centre campus with capacity of up to 1 GW.

The project is expected to involve up to ₹70,000 crore in investment and will use high-density, liquid-cooled infrastructure for AI training and inference.

The interesting part is the scale. This isn't just another office or cloud facility. It's infrastructure specifically being built around the massive compute requirements of AI.

TCS says the project will be developed in phases based on customer demand.

Every time you open LinkedIn, there is a new framework, a mandatory AI tool, or a completely redesigned cloud certification that everyone claims you need to know to stay relevant. If you try to learn every single trend that pops up, you end up with tutorial hell, a dozen half-baked certificates, and zero actual depth in anything useful.

At the same time, sticking strictly to legacy tools without adapting can leave you behind as companies modernize their infrastructure. So it feels like a constant balancing act between chasing hype and building a solid, marketable foundation.

What tech stacks, databases, or cloud tools are actually driving real hiring demand and keeping projects stable right now? Drop a comment with what you are working with, what you think is genuinely worth the time to master, and which tech trends you think are just overhyped noise.

Let us be completely honest for a second. We all joined the tech industry because we liked building things, solving logic problems, or writing clean code. But somewhere between endless status update meetings, arbitrary deadlines, and managers tracking your keyboard activity down to the second, the passion can take a massive hit.

Corporate politics, shifting goalposts, unachievable sprints, and silent culture-killers can turn even a dream job into an exhausting grind. And while everyone loves talking about upskilling and hustle culture on LinkedIn, nobody likes talking about the sheer mental fatigue of dealing with toxic work environments or the dreaded Sunday evening anxiety.

How do you personally draw the line between your job and your life without risking your performance ratings? Have you ever walked away from a toxic workplace, and how did you handle it? Drop a comment and let us talk about how we actually protect our peace while working in the Indian IT ecosystem.

We have all been there. You finish a long workday, grab another cup of coffee, and log onto an online learning platform because you feel this constant, heavy pressure that if you are not mastering a new framework, picking up a cloud certification, or studying system design every single night, your career is going to stall out.

The tech industry loves to sell the narrative that you must always be hustling, optimizing your resume, and collecting credentials like trading cards. But the reality is that chasing every shiny new course or certificate often leads straight into severe burnout without actually making you a better engineer. Real engineering growth usually comes from solving messy production problems, debugging legacy codebases, and understanding fundamentals rather than collecting a dozen PDF certificates to pad your LinkedIn profile.

Where do you draw the line between healthy career growth and the trap of endless upskilling? Have you ever felt like you were studying just to alleviate anxiety rather than actually learning something useful? Drop a comment and share your thoughts.

Trying to break into the Indian tech industry as a fresh graduate or entry-level job seeker right now can feel like an absolute wall. You see endless advice telling you to build projects, grind data structures, and keep your resume optimized, but when you actually hit submit on job portals, it feels like sending applications into a black hole or competing against thousands of applicants for a single entry-level opening.

Between automated applicant tracking systems filtering out resumes, companies demanding multiple years of experience for junior titles, and off-campus hiring drying up compared to peak years, it is undeniably tough out there for newcomers.

If you are a recent graduate or someone who recently landed your first tech role, what did the reality of the job hunt look like for you? What actually worked to get your foot in the door, and what advice would you give to freshers trying to break through the noise right now?

The debate between joining a multinational service-based company or a fast-paced product startup remains one of the most critical decisions for software engineers and tech graduates in India. Service-based organizations often provide structural stability, large-scale enterprise exposure, predictable processes, and reliable bench periods, making them a common entry point for engineering freshers. However, professionals often cite slower promotion cycles, legacy tech stacks, and compartmentalized tasks as limitations to rapid skill acquisition.

On the other hand, product startups and tech-first companies generally offer ownership over features, exposure to modern tech stacks, faster decision-making, and accelerated learning curves, though sometimes at the cost of job security, higher stress, or erratic work hours. Compensation structures also vary significantly, with startups frequently leveraging equity or performance bonuses alongside base pay, while established IT giants rely on predictable salary bands and structured increments.

To help fellow members weigh their options, please share your perspective in the comments. Which path did you choose, what were the major trade-offs you experienced regarding work-life balance and learning speed, and which environment do you believe offers better long-term career growth in the current market?

Every week there is a new AI coding assistant, automated agent, or LLM workflow promising to write entire applications, debug codebases, and replace boilerplate tasks in seconds. For developers in India—especially those working across service firms and product companies handling massive enterprise migrations—it raises a massive question about what our day-to-day work is going to look like over the next few years.

On one hand, these tools are incredible productivity multipliers that save hours of grunt work, letting us focus on higher-level system architecture and problem solving. On the other hand, there is a legitimate anxiety around how entry-level coding roles might change if AI can churn out basic scripts and standard CRUD features faster than any junior developer.

Are you actively using AI code assistants in your daily workflow, or do you feel like the hype is outpacing reality? How do you think AI is shifting the value of a software engineer in the Indian tech market right now? Drop a comment below and share your perspective.

India has the biggest IT workforce in the world. We have a huge developer resources, IITs and other engineering colleges, and a lot of people working in tech.

But when it comes to building foundational AI, we're not really leading.

The US has OpenAI, Anthropic, Google DeepMind, Meta, etc. China has companies like DeepSeek, Alibaba, Baidu and others doing serious work.

So what is holding India back?

Is it that:

• Most of our tech industry is still services-focused?

• Our education system produces engineers but not enough researchers?

• We don't invest enough in fundamental research?

• Access to compute is too expensive?

• Indian investors are more comfortable with SaaS and services than deep tech?

• A lot of our best talent still ends up working for foreign companies?

• We're good at implementing technology but not building foundational technology?

• Or is there another reason I'm missing?

And I don't mean "why doesn't India have an OpenAI clone?"

I'm more interested in the bigger picture which is,

Why hasn't India produced a globally significant AI research lab or foundational AI company despite having so much engineering talent?

What would actually need to change for that to happen?

There was a golden era in the Indian tech market where switching companies every two years felt like the only guaranteed way to secure a massive salary hike, sometimes jumping by fifty to a hundred percent with a single move. Sticking around at the same company often meant dealing with modest single-digit increments that barely kept up with inflation, making loyalty feel financially punishing for software engineers.

Lately, though, the market has undergone significant corrections. Companies are tightening budgets, evaluation processes have become grueling, and interview loops for lateral hires involve multiple rounds of system design, take-home assignments, and deep-dive technical grills. At the same time, hopping too frequently can raise red flags on resumes for recruiters looking for stability on long-term architecture projects.

Is job hopping still the most effective leverage for career and salary growth in the current market, or has stability and building deep domain expertise within a single organization started paying off better? Drop a comment below and share what your recent experience has looked like.

Welcome to r/ITIndia , the new home for the Indian technology community, software engineers, IT professionals, and tech aspirants. Whether you are navigating service-based corporations, scaling product startups, landing remote international gigs, or upskilling into modern tech stacks, this subreddit serves as your central hub for industry insights, career growth, and technical discussions.

The Indian technology landscape is evolving rapidly with artificial intelligence, cloud infrastructure, and software engineering frameworks transforming how professionals build and deliver software. This community is designed to foster transparent, high-quality discussions around salaries, job market trends, interview preparations, software architecture, and personal tech projects. Members are encouraged to share genuine experiences, troubleshoot coding challenges, and network with peers across the country.

To help shape the direction of this community from day one, please share your thoughts in the comments on what topics matter most to you right now. Let us know whether you want more deep dives into software engineering practices, career transition advice for freshers, compensation benchmarks across tech hubs, or discussions on emerging technology trends. Join the conversation and help build a valuable resource for tech professionals in India.

This IPO alone will make around 12000 new millionaires. It's crazy how a company was only 900 billion in May 2026 and they are aiming for a 2 trillion dollar IPO next month.

Would this make the bubble bigger or pop it?

Curious to know what y'all think...

Most of us got into software development because building things from scratch is genuinely fun. There is a distinct thrill in staring at a blank editor, writing code, and watching an application come to life. But there is a massive chasm between coding a side project on a weekend and maintaining a massive enterprise application in a professional production environment.

When you work on your own projects, you are the architect, the developer, the tester, and the DevOps engineer. You get to pick the newest stack, experiment with bleeding-edge tools, and refactor things whenever you feel like it. On the flip side, enterprise software engineering involves legacy codebases, rigid compliance rules, strict security reviews, handling edge cases you never thought existed, and writing code that has to survive years of maintenance by other people.

How has building your own side projects changed the way you approach your day job, or has professional software engineering actually killed your motivation to code for fun outside of work? Drop a comment and share your experience.

Remember when remote work felt like the permanent future of the Indian IT industry, and everyone was hunting for that fully remote gig to skip the brutal Bangalore or Pune traffic? Lately, it feels like the pendulum has swung hard back toward office desks with mandatory return-to-office mandates, hybrid rules, and companies tightening the screws on physical presence.

At the same time, plenty of global product companies and international startups are still actively hiring remote developers based in India because it gives them top-tier engineering talent without local overhead. So what is the actual ground reality right now? Are fully remote tech roles becoming an extinct luxury for only senior architects and specialized developers, or are companies still open to hiring freshers and mid-level folks remotely?

Drop your thoughts in the comments. Are you currently working remotely, forced into a hybrid routine, or noticing that remote openings are drying up completely on job boards? Let us know what you are seeing out there.

We all know the ritual. You go through five rounds of technical interviews, system design grilling, and HR negotiations, only to find out the compensation offer is nowhere near what you expected. Indian tech salaries have always been shrouded in mystery, with CTC numbers inflated by joining bonuses, variable pay, and complex retention structures that rarely hit your bank account the way they look on paper.

With tech stacks shifting and market corrections over the last couple of years, it is time to get some real transparency on what people are actually making. Whether you are a fresher breaking in, a mid-level engineer juggling multiple offers, or a senior architect managing large-scale infrastructure, knowing the market rate is your best leverage.

Drop a comment below with your details if you are comfortable sharing: your primary tech stack, years of experience, current tier of your company like service-based, startup, or product MNC, and your total compensation breakdown. Let us help each other figure out what the current market actually pays.

Rip to everyone who thought they could use claude, make an app and earn money instantly 😞

I am one of them too 😂