Nvidia owns 90% of AI GPUs. AMD is the scrappy challenger. Broadcom is quietly building custom chips for Google, Meta, and OpenAI. Here’s how the AI chip war is shaping up in 2026.
Most Indians buy health insurance exactly once, under pressure from a ULIP-pushing agent, and never think about it again until they need to use it. By that point, the policy has gaps you did not know about, and your claim is either partially rejected or the cover is embarrassingly low. These are the five mistakes that cause most of the damage. Mistake 1 - Buying for Tax Benefit, Not for Coverage Section 80D gives you a deduction of Rs. 25,000 on health insurance premiums (Rs. 50,000 for senior citizens). This is excellent. But many people buy a Rs. 3-5 lakh policy simply to exhaust the deduction, without thinking about whether that cover is adequate. ...
Recruiters spend less time on your resume than you spent on the font choice. Here is what they are actually scanning for and how to make those 6 seconds count.
Everyone talks about the per-token pricing. Nobody talks about the infrastructure, latency, retry logic, and prompt engineering costs that triple your real bill.
A badly written ticket wastes everyone’s time. Here is the anatomy of a good ticket and why most people never learn to write them.
Most people write LinkedIn cold messages that immediately signal “I want something from you.” The person on the other end can feel it and ignores it. The messages that get replies feel different - they are specific, they offer something, and they ask for a small thing rather than a big commitment. Here is what actually works. Why Most Cold Messages Fail The typical cold message structure: “Hi [name], I came across your profile and I’m really impressed with your work at [company]. I’m looking to make a transition into [field] and would love to pick your brain over a coffee chat. Looking forward to connecting!” ...
Asking your manager’s manager for a meeting feels politically risky. Here is how to do it in a way that is natural, professional, and actually useful.
Training a frontier model on 100,000 GPUs is not just a bigger cluster. It requires solving distributed systems problems that push the limits of what networking hardware can do.
Every AI product built in the last two years has had to solve the same problem independently: how does an LLM access external data and tools? Anthropic released the Model Context Protocol (MCP) in late 2024 as an open specification for solving this problem once, standardized, and reusable. The protocol is now being adopted faster than most specifications in recent memory - 97 million monthly SDK downloads and over 16,000 MCP servers in the wild. ...
They’re not AWS. They’re not Azure. They’re GPU-native cloud companies built specifically for AI - and they’re growing faster than anything in tech. Here’s the neocloud story.
Big PRs, stale branches, conflicting merges - most teams suffer from the same git chaos. Here is the workflow that fixed it.
Everyone knows git add, git commit, git push. The developers who treat git as a superpower know about a dozen more commands that make complex workflows feel easy and make “I accidentally deleted my work” feel recoverable. reflog: Your Safety Net The reflog records every position HEAD has been at, even after resets and rebases. It is a time machine. git reflog # Output: # abc1234 HEAD@{0}: reset: moving to HEAD~1 # def5678 HEAD@{1}: commit: Add user authentication # ghi9012 HEAD@{2}: commit: Fix navigation bug # Oops, you reset away a commit you needed git checkout def5678 # or git reset --hard HEAD@{1} git reflog works even after git reset --hard. Entries expire after 90 days by default. If your commit happened in the last 90 days, it is recoverable. ...
Every team has that engineer. The one you give a project to and you know it will come in on time, at the quality you expect, without a lot of drama. And there is usually another engineer who is technically brilliant but perpetually a week behind estimates. The difference between these two is not intelligence or even skill. It is habits. Habit 1: They Break Work Down Until It Is Uncomfortable The engineer who ships on time does not accept “build the payment flow” as a task. They break it down until each task is a single, completable unit of work: “add Stripe webhook endpoint,” “write handler for payment_succeeded event,” “add payment record to database,” “send confirmation email.” ...
Both companies say they care about safe AI. But their approaches to what that means, how to measure it, and how to balance it against capability are genuinely different.
A 1.2 GB Docker image for a simple Node.js API is not normal, it is negligence. Here is how to build production images that are actually lean.
Both Go and Rust are having a moment. But they solve completely different problems and attract different kinds of engineers. Here is the honest breakdown.
The opportunity is real. US companies are actively hiring remote engineers from India - not just as contractors through outsourcing firms, but as direct employees or high-value contractors getting paid dollar rates. Getting there requires a specific strategy. Here is what actually works in 2025. The Landscape in 2025 Remote hiring from the US has evolved. A few years ago, it was mostly larger companies with established international contractor programs. Now, smaller startups ($5M-$50M series A/B companies) are routinely hiring Indian engineers directly because the talent quality is high and the cost relative to US salaries still works in their favor. ...
Your LinkedIn headline is the first thing recruiters read and the last thing most engineers update. Here is how to write one that actually works.
SQLite runs in billions of devices and is the most deployed database in the world. It is also quietly powering a surprising number of production web applications that used to need Postgres.
Linus Torvalds was skeptical of Rust in the kernel for years. Now he is shipping it. Here is why that happened and what it means for the future of systems programming.