Sharat Chandra MS

178 posts

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Sharat Chandra MS

Sharat Chandra MS

@mssharatchandra

Curious stardust | SDE 2 @ https://t.co/p5i9fWbScn | AI Native Product Builder | Trying to build products people want | Love yapping

Katılım Nisan 2020
1.4K Takip Edilen37 Takipçiler
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Sharat Chandra MS
Sharat Chandra MS@mssharatchandra·
I am chasing myself And realising that spacetime is the same thing gives me immense power to be whoever I want to be at whichever point in space or time and sometimes both 😵 In short, I create me And I am getting created by me Constant co creation of self 🏃🏽‍♂️✨#selfmusing♾️
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Sharat Chandra MS
Sharat Chandra MS@mssharatchandra·
it could sound rage baiting, but im fully convinced that creativity is just great copying and blending of wildly different ideas under the name of "taste"
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Sharat Chandra MS
Sharat Chandra MS@mssharatchandra·
What products/services do you think will significantly get better with the release of the next smartest frontier model? I will go first, 1. Video editing through agents 2. Voice agent capabilities 3. AI assisted observability . . .
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Shashank Kumar
Shashank Kumar@shashank_kr·
If you haven’t realised it yet, the traditional software development process is dead. And there is no going back. There is a new model getting released everyday and prices are dropping regularly. The intelligence on demand can write as good of a software that's humanly possible. We have sprinted into the new paradigm: ADLC. Agent Development Life Cycle Building agents that write software, debug systems, review PRs, operate workflows, or perform useful tasks in production. The ADLC lifecycle looks very different from SDLC. You are not just writing requirements, breaking them into tickets, coding, testing, and shipping. You are iterating on prompts, harnesses, models, evals, verification, context, tools, permissions, and guardrails. Over and over again. Until the agent can do useful work reliably. SDLC was built for a world where humans wrote the software. ADLC is built for a world where humans design the work, agents execute it, and teams spend their time verifying, improving, and compounding the system. The craft of software engineering is moving up the stack. The best builders will be the ones who can turn intelligence on demand into reliable work in production.
Shashank Kumar@shashank_kr

ADLC >>>>> SDLC

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Sharat Chandra MS
Sharat Chandra MS@mssharatchandra·
Internet witnesses the weirdness now, wyrd-money.vercel.app Go check the weirdest bets people are betting dollars against. Polymarket is banned in india, but we are here to let you watch the chaos The app is live. @GrowthX_Club @UmangJ4 @krishna35765096
Sharat Chandra MS@mssharatchandra

Ever wished to become millionaires through the internet? World's weirdest money tracked for you …rd-money.mssharatchandra.chatgpt.site @GrowthX_Club @krishna35765096 @UmangJ4

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Sharat Chandra MS
Sharat Chandra MS@mssharatchandra·
Ever wished to become millionaires through the internet? World's weirdest money tracked for you …rd-money.mssharatchandra.chatgpt.site @GrowthX_Club @krishna35765096 @UmangJ4
Sharat Chandra MS@mssharatchandra

Pass secured. World's largest hermes buildathon, 10 cities and 5 countries deep, 1000s of builders. @OpenAI , Convex, @Cloudflare , @ElevenLabs , and @WisprFlow are behind it, with @GrowthX_Club and @UmangJ4 and @krishna35765096 running the floor. We are building something really cool for sure. Stay tuned for the updates

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Sharat Chandra MS
Sharat Chandra MS@mssharatchandra·
how many of you are just bookmarking those substacks instead of reading them? 🤡 47 bookmarks waiting for me today. turns out collecting knowledge and consuming knowledge are two completely different hobbies.
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Sharat Chandra MS
Sharat Chandra MS@mssharatchandra·
Coffee feels like process arbitrage.
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Anuj Rathi
Anuj Rathi@anujrathi·
The engineers getting the most out of AI are the ones who pause for a few seconds before they build, to picture the person who will actually use the product. That habit is a floor of product sense most engineers can reach without becoming PMs, and it compounds harder than raw speed.
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Sharat Chandra MS
Sharat Chandra MS@mssharatchandra·
I believe the next stage of merger would be engineers developing product sense and discovering and shipping products, owning the end-to-end outcomes with a swarm of agents. We already have hours of discussions with PMs, and that would definitely leave some rub-off. It only takes intentional skill acquisition to become product builders. And among the PM, Engineer, and Designer, an engineer can talk to customers in the morning, scope the product while building it in the afternoon, ship it in the evening, and debug any production issues at night seamlessly, if enough skin in the game and incentive is made available.
Lenny Rachitsky@lennysan

Important read

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