engineer building and posting

India
As an engineer your goal is to solve problem and codename just one tool. Happens to be solvable by the AI models now. Solve problems and try things out.
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We all know the MDR story of the UPI and it is now being charged. The question: is it only to support the infra or to also increase the usage of the eRupee or CBDC?
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Had a conversation with my friend yesterday and he is willing to spend $100 per month to build a SAAS which he is using today at $29. I don't think this is the right choice, the cost of building and cost of operating it does jot justify building it. He is happy with the current setup but want to build it considering the trend that everyone is building it.
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Simranjeet Singh retweeted
Software for Agents @aaron_epstein The next trillion users on the internet won't be people. They'll be AI agents, and they're already doing real work on top of software that was designed for humans clicking buttons. Every major category of software needs to be rebuilt for agents as first-class citizens, and that won't come from incumbents.
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Th new age companies are going to sell outcomes, done fotlr you service but with the power of the AI. AI is the differentiating factor in here.
Replying to @ycombinator
AI-Native Service Companies @gustaf The total spend on services is many times larger than the spend on software, and a lot of those services are already outsourced, which makes them easier to replace with an AI-native product. We're excited about companies that don't sell a tool to help you do the work: they just do the work.
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This is great news if you are building agents and need secure connectivity
Vercel Connect is now generally available. Give your apps and agents secure access to @slackhq, @linear, @github & 100+ other services. • Short-lived, scoped access tokens • Token and trigger observability • RBAC and audit trails vercel.com/blog/the-end-of-c…
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Simranjeet Singh retweeted
Interesting areas for Indian startups to build in: - Trusted Platform for Used Goods - GPS-Denied Drones - AI Wealth Manager for Middle Class - Discovery-Led Fashion Marketplace - AI Coaches for Professionals - Screen-Free Intelligent Toys - Infrastructure for AI agents - Specialty-Focused Micro Clinics - Vertical AI for Hardware Design - Smart Home Electronics - Bio-Manufacturing for Specialty Chemicals - Climate Resilient Cooling - Regional Nutrition Brands Incredible decade to be an entrepreneur in India
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Make something people want. Thats what I am going to do now. All of this will be experiments and various side hustles in various industries. I am going to post everything raw and will try put out the thought process out. Goal is to learn and have fun.
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Engineers Who Understand Product Are 10x More Valuable You don’t need to own the roadmap to care about the outcome. I’ve seen firsthand how engineering impact grows when you understand what product teams are really solving:
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🔍 What’s the real user constraint behind this “urgent” change? 🧭 Can the system enable iteration, not just meet current requirements? 📉 Can we reduce risk through tech — not just process? Product velocity is often an infra problem in disguise.
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If your systems enable experimentation, quick rollouts, and compliance guarantees — you’re not just writing code. You’re shaping the product.
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Not Every Architectural Decision Needs to Be Permanent Good architecture solves the problem. Great architecture adapts when the problem changes. One of the biggest mindset shifts in my career: Not every architectural decision needs to be permanent.
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You can start with fewer layers — and decouple later 🔁 The ability to change gracefully matters more than getting it perfect Great infra doesn’t just scale. It evolves — because the business, users, and context will too.
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I’ve learned to ask during reviews: > “Can this decision survive change — or at least absorb it without pain?” That question alone has saved months of future rework.
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Engineering Clarity > Engineering Cleverness The longer I build systems, the more I value clarity over cleverness. It’s tempting to reach for abstractions, generics, or design patterns that make us feel smart. But the best codebases I’ve worked with shared one trait:
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Why does this matter? Because clarity scales. Cleverness doesn’t. Clarity enables faster onboarding Clarity makes debugging predictable Clarity makes compliance provable Clarity helps infra evolve without fear
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Clever systems get praise in design reviews. Clear systems survive everything after.
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