Varunkumar Nagarajan @varunkumar
Indian. Responsible son. Software Engineer. Coder. Blogger. Technology enthusiast. Web developer. Glass Xplorer. Gardener. Cricket lover. RS Dravid Fan. Foodie. varunkumar.dev Chennai, India Joined July 2008-
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@fit_fr_nothing @psankar I will likely build one myself to sync to GitHub.
I work on 2-3 different machines. Backing up Claude Code's memory across machines has been painful. How do you guys do this?
@fit_fr_nothing @psankar Tried with Google drive for syncing memory and session files but ending up corrupting the configs.
@psankar I saw it a few weeks/months back, but was not ready to trust it back then. Will check out again.
I do have a similar structure across my machines, like ~/projects for own projects, ~/repo for third-party repos, etc. My machine is fairly organised for an agent to understand.
But the problem is giving Claude a common instruction across machines. For example, I want git worktrees to be created in this format ~/wortree/project/
I work from two locations and prefer desktops (a Mac Studio and a custom-built Windows/WSL box) over laptops. I hated remote IDE setups because of the UI lag. These days, I am mostly on terminals with Claude Code. I should probably move to a more secure SSH-based setup. Even at work, I switch between WSL and Amazon WorkSpaces depending on where I need the compute. The bigger challenge is keeping Claude Code memory in sync across them. I push most of them directly to the repo. But a few preferences are still personal and don't belong in the repo.
India’s IT ministry banned Telegram for one week because some users shared leaked exam questions. This punishes 150M+ ordinary Telegram users in India — not the insiders who leaked the exam materials. And the ban hasn't stopped anything. The leaks just moved to other apps.
Statement : Shutting down Telegram is a band aid solution and is a disproportionate answer to exam fraud The Internet Freedom Foundation objects to the directions announced today in the National Testing Agency's press release on action against the Telegram platform. On the NTA's
I was on vacation last week. And, my Claude Code sessions were sitting completely idle. Wasted a week's worth of capacity. Who's turning the token capital into a shareable commodity? Anthropic, OpenAI, and Google should use Jio's playbook to expand into the Indian market. Jio first sold cheap data, then added family coverage. A shareable pool should help turn one subscriber into a whole household. I think Google One's family sharing comes closer.
SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models. For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon. We look forward to working closely with the Cursor team to advance our frontier AI capabilities
SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI. The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will
Fable 5 is state-of-the-art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, scientific research, and vision. The longer and more complex the task, the larger Fable 5’s lead over our other models.
Don't Surrender to the Machine Tony Fadell, co-creator of the iPod and iPhone, founder of Nest, partner at Build Collective, interviewed by @lennysan (Lenny's Podcast) Summary: AI makes shipping cheap. That raises the value of taste, judgment, and storytelling. Fadell argues the products people remember are the ones a small group with strong opinions built deliberately, fought for across three generations, and surrounded with the right marketing context. Vibe-coded shortcuts pay short-term and rack up structural debt. Luxury software gets there with humans still in the loop. 1. Cognitive Surrender. Use the machine, never hand it the wheel. Fadell's central rule is that AI can assist coding, copy, prototyping, and inventory counts, while humans still have to decide what gets built and why. The Claude main-loop code that leaked looked brittle to actual engineers because no architect had touched it. Short-term gain, long-term loss is the trade you make when you let the model run unsupervised. 2.Benevolent Dictatorship. 1.0 products get made by one or two people willing to own the opinion-based calls. Committees pulling data on a category that does not exist yet just produce a worse copy of something already in the market. The keyboard fight on the iPhone went on for months; Steve ended it by saying we are going this way and anyone not on board can switch projects. The discomfort is the cost; the product is the return. 3. Pain Plus New Tech. Worthy ideas start at someone's pain and ride a technology that just became possible. The Nest worked because thermostats were arcane to program, 50% of the energy bill ran through them, and AI was finally cheap enough to learn a household's pattern. iPod required portable mass storage plus lithium polymer plus ARM at once. Both halves of the equation have to land at the same time; one-half ideas only produce evolutions. 4. Three Generations. Everything needs three swings: make the product, fix the product, fix the business. The first iPod sold only to Mac geeks (under 1% of the market), the second mostly did the same, the third with iTunes and Windows finally moved volume. Nobody nails margins, reliability, and message in the first build, and the only failure is stopping. Founders quit because they expected one launch to clear all three bars. 5. Micromanage The Decision. Sweat a few details ruthlessly, delegate the rest. Fadell's early mistake was micromanaging operations, which exhausted his team and produced a single bottleneck. The real fight is over the data behind a call (keyboard error rates, hardware-software coupling, the load-bearing visual) and the system-level changes that only land if everyone moves at once. Everything outside that radius is somebody else's job. 6. Marketing Is Product. Customers see the product first through the press release, the first ad, and the storefront. They never see the inside. Apple's same iPod campaign flopped in Europe because European adopters were earlier on the curve and needed a different message. The right move is to write the press release before the build starts, so the three key features and the why are locked before engineering begins. 7. The Story A Thousand Times. Steve Jobs honed the iPhone story every day for two and a half years before stage. Storytelling is the loop that exposes which features matter, which words land, and which version of the truth is actually true. Borrow technique from infomercials: set up the virus of doubt, name the pain, show the relief, and dial off the cheese. 8. Luxury Versus Fast Software. Vibe-coded apps are fast fashion: cheap, throwaway, structurally brittle by version five. Real products are handcrafted, layered, and survive customer feedback for years. Use coding agents to prototype faster and reach an informed gut, then architect the spine yourself and let the model fill scoped subfunctions. The original Flighty got built by humans; a clone could be vibe-coded, but the original could not have been. 9. Flip The Stack. Long-term, voice should be primary input, keyboard secondary, tap-and-swipe tertiary, the opposite of how every smartphone is built today. The display still has to exist: maps, video, and complex visuals need glass, even in the movie Her. Pure-audio devices like Humane failed because removing the screen is "different, not better." The next iPhone is still a slab, just one you mostly talk to. 10. Atoms Beat Bits Long-Term. Hardware founders get laughed at in software cycles, then rewarded when the next platform arrives. Fadell pitched hardware in 1999 and got told it was the stupidest idea ever; the iPod shipped two years later. The durable companies have atoms in the plan: sensors, robots, devices, because software-only categories get vibe-coded into commodity. Waymo is a sensor-stacked electric car, and that is exactly the platform other companies will build on. 11. The Hype Cycle Is A Trap. Buy in before the term is fashionable; hold discipline once round sizes go to ten digits. Fadell was early on Groq and Cerebras because the valuations were small and the bets were obvious to a builder, not a market. By the time a category needs a five-billion-dollar raise to start, the venture math no longer works. Chasing what is hot guarantees showing up late. 12. No Surrender In Ethics Either. When iTunes Video was being scoped, somebody floated porn and Steve killed it on the spot: "is that the world you want your kids to grow up in." Today's analog is companies shipping sex-chat AI to juice engagement; users will feel it and brands will pay. The iPhone is a refrigerator: it stores junk food and good food alike, but the operating system can ship the nutrition labels, the limits, and the tools, and platform owners have so far refused.
Next gen Apple Intelligence is powered by Google Gemini models. #WWDC2026
Mac OS Golden Gate - 20 mins into the session. Very minimal AI stuff so far. Search, Privacy and Parental Controls.
Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors. Available today at the same price.
The investment industry doesn't need more AI demos. It needs AI that actually works in production, with auditability, governance, and domain context built in. That's what we shipped today. Arcesium Intelligence is live. arcesium.com/press-release/…
Missed @googleio after many many years
@arunkumar_n @psankar Graphify benchmark is one of the most misleading numbers in AI dev tooling right now. The baseline it compares against is "dump the entire corpus into context." Nobody does that. In one of our work repos, it showed ~1300x but the reality is 1-2x at most.
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