Subhankar Sarkar

@Microsoft @MSFTResearch @grok key takeaways please

As AI and agents take on execution, our own agency expands. The question is whether organizations are built to capture it. The 2026 #WorkTrendIndex Report is now live: msft.it/6009vKCx5

@msdevindia Just say copilot it

Only developers will understand this. The process is simple - Build, fix, learn, repeat. 🔁 #Developer #CodingLife

@karpathy @VBarsoum @netflix & @code

@VBarsoum Haha yeah I call it cozy coding :) Usage: “This valentines, cozy code with someone you love”

hey @karpathy i think we need a new term: Chill Coding. It's vibe coding just one app at a time, and youtube or netflix is on.

@vivekanandahr Make sure you clean up the streets, road side bushes regularly - they are starting to show up like e-waste everywhere.

Most people think Bounce died in COVID. We didn’t. We pivoted to manufacturing our own electric scooters and renting them to India’s gig workers. 9K on the road today across Bangalore and Delhi-NCR. Going to 40K in under 18 months. Here’s what we’re building.

@ZeptoNow is this a new “taste test before delivery” feature? 🤣🥱😆 Because my coconut clearly didn’t arrive untouched. What’s happening with your quality control?@aadit_palicha @zeptocares @fssaiindia

Leaders scale through people Engineers scale through AI Agents linkedin.com/posts/subhanka…

@AzureDevOps This is such a well-written document that those still thinking about how to reimagine software development in the agentic era can gain a very clear understanding of it. @github #AgenticSDLC

DevOps Playbook for the Agentic Era Agents don’t fix weak DevOps — they scale it. This guide breaks down readiness checks, human–agent collaboration zones, spec‑driven dev, and pipelines that verify intent, provenance, and hallucination‑free code. 📖 → buff.ly/sbNnfi2

@satyanadella Every agent deserves its own home and address to thrive. Thanks for turning this concept into reality.

Every agent will need its own computer. And with new Hosted agents in Foundry, every agent gets its own dedicated enterprise-grade sandbox, with durable state, built-in identity and governance, and support for any harness or framework. Read more: devblogs.microsoft.com/foundry/introd…

@ollama @ErRahul337 WhatsApp

@ErRahul337 🫡 what kind of integrations do you want to see!

Congratulations to @ollama team, hopefully more integrations will be coming soon.

The junior of the future is like a Civil Engineer. They don't personally lay every brick (the agent does that), but they must understand the physics of the bridge, the soil it sits on, and the stress loads it will carry. If the bridge falls, "the agent did it" isn't an excuse.

@gdb IDEs of future is where code stays in background, abstracted by an orchestration layer driven by prompt and specs !!!

codex is becoming a full agentic IDE

@ritu_twts macOS

Just got a new Windows laptop, what should I install?

@svpino For humans it’s AG-UI, for agents it could be CLI

I think we haven’t seen the full potential of AI in the future of UI. We have been too busy focusing on CLIs, but I think that’s a phase that will pass.

@andrewchen Second that

hot take :) The biggest and most productive people in the AI era are the folks who are already good at their jobs. AI as a multiplier, not an equalizer/democratizer

The future belongs to the engineer who can describe a complex system so clearly that an AI agent can't possibly misunderstand it.

@levie @mcuban Very well articulated

Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise. Some quick takeaways: * Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow. * Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated. * Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs). * Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these. * Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs. * Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy. * Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems. * Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been. One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise. This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.

Going Agentic 🤖 @github @GitHubIndia #GitHubConstellation

@msdev BRK233 🔥

The #MicrosoftBuild session catalog is live. Explore 90+ hands-on sessions to help you build, ship, and scale with AI. ➡️ msft.it/6014Q4LPA

🎯 Developers in India — don't miss this. GitHub Constellation 2026 keynote streams LIVE on YouTube tomorrow at 10:15. Hear from Jay Parikh (EVP, Microsoft) & Kyle Daigle (COO, GitHub) on the future of AI-powered development. Watch Live on YouTube youtube.com/live/QNbJoEx36…

@Copilot ☕️

After a meeting, what helps keep your momentum going?