Yeshwanth kumar (@morpheyesh) header
Yeshwanth kumar (@morpheyesh) profile picture

Occasional geek, computer science enthusiast, loves to brew a perfect cup of coffee, want tips? - Cloud | Big data | Blockchain

London, England
Joined June 2012
Photo by Yeshwanth kumar (@morpheyesh)Photo by Yeshwanth kumar (@morpheyesh)Photo by Yeshwanth kumar (@morpheyesh)Photo by Yeshwanth kumar (@morpheyesh)Photo by Yeshwanth kumar (@morpheyesh)Photo by Yeshwanth kumar (@morpheyesh)Photo by Yeshwanth kumar (@morpheyesh)Photo by Yeshwanth kumar (@morpheyesh)
Yeshwanth kumar retweeted
Replying to @DouglasYaoDY
The team page on your site is so great 😂
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🦞
Over the weekend, a new social network called Moltbook—designed to be used by AI agents—exploded in popularity, prompting hype and panic online. Thousands of bots began speaking to each other about a range of topics, including their relationships with “their humans” time.com/7364662/moltbook-ai…
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Yeshwanth kumar retweeted
Excited to launch Pencil INFINITE DESIGN CANVAS for Claude Code > Superfast WebGL canvas, fully editable, running parallel design agents > Runs locally with Claude Code → turn designs into code > Design files live in your git repo → Open json-based .pen format
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humans writing code is more of a lost art form. Sad. But engineers love to build, there is some solace in that. Actually, there is plenty more to build. Fun.
This has been said a thousand times before, but allow me to add my own voice: the era of humans writing code is over. Disturbing for those of us who identify as SWEs, but no less true. That's not to say SWEs don't have work to do, but writing syntax directly is not it.
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Yeshwanth kumar retweeted
The rise of AI programming agents is changing the nature of software development in the same way as did the introduction of compilers in the time of Grave Hopper. I’ll say it again: the entire history of software engineering is one of rising levels of abstraction.
This has been said a thousand times before, but allow me to add my own voice: the era of humans writing code is over. Disturbing for those of us who identify as SWEs, but no less true. That's not to say SWEs don't have work to do, but writing syntax directly is not it.
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‘Signals over credentials’ Looks like it’s going to be a recurring theme for 2026 and onwards.
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Yeshwanth kumar retweeted
I asked Claude Cowork to identify the 10 most important skills for thriving in the age of AI, based on my 320 podcast conversations. Impressed with the results. Part 1: Timeless Skills (become more valuable) 1. Taste and judgment — The bottleneck when AI generates unlimited options. Develop through "exposure hours." — @rauchg 2. Curiosity — The meta-skill that enables all other learning. @mikeyk says it's what he'd prioritize for children in an AI world. 3. Becoming a cross-functional "builder" — "Dissolve role boundaries and call ourselves builders." — @joulee 4. Clear communication and storytelling — As execution is automated, articulation becomes your primary output. 5. Strategic thinking — "The leverage of getting strategy right goes up when execution costs go down." Part 2: AI-native skills (must develop) 1. Writing evals — "AI is almost capped by how good we are at evals." — @kevinweil 2. Prompting and context engineering — "Great prompters are great writers." 3. AI fluency through constant use — You can't understand AI by reading about it. Cancel your meetings and play with every AI product. 4. Understanding systems under the hood — Paradoxically, fundamentals become MORE valuable as AI abstracts them away. 5. Working with AI Agents as teammates — Management skills transfer directly. "Used to be people, but now it's basically AI models." — @joulee
Testing out the new Claude Cowork. I asked it to go through every Lenny's Podcast episode and pull out the 10 most important themes and lessons for product builders. Then, the 10 most counterintuitive truths. I gave it access to a folder with 320 transcripts. First, it said "This is a substantial task - 320 podcast transcripts to analyze!" 15 minutes later... The 10 most Important themes from Lenny's Podcast 1. Activation Is Everything — Slack's "2,000 messages" moment, Gamma's 30-second magic. Get users to value fast. 2. Storytelling as a Superpower — Compelling narratives align organizations better than documents. 3. Positioning Is Strategy, Not Marketing — April Dunford's 5-step framework that starts with competitive alternatives, not messaging. 4. Product Discovery Before Delivery — Teresa Torres' Opportunity Solution Trees and Marty Cagan's Four Risks framework. Talk to customers weekly, not quarterly. 5. Ruthless Prioritization — Shreyas Doshi's LNO Framework (Leverage/Neutral/Overhead) and focusing on opportunity cost over ROI. 6. AI is Transforming Product Development — Model maximalism, evals as core PM skill, CEOs becoming ICs again. 7. Empowered Teams vs. Feature Factories — Marty Cagan's distinction: give teams problems to solve, not features to build. 8. Build Your Operating System — Claire Hughes Johnson's framework for founding documents, operating cadence, and decision frameworks. 9. Pre-Mortems and Risk Anticipation — Shreyas Doshi's technique to surface failure modes before they happen. 10. Small Teams, Outsized Impact — Jason Fried's 2-person/6-week constraints, Shopify's pair programming culture. The 10 most counterintuitive truths: 1. Fear Gives Bad Advice—Do the Opposite — Whatever you're afraid to do (hard conversation, telling the board bad news) is exactly what you should do. 2. Adding Friction Can INCREASE Conversion — Adding personalization questions to signup improved Amplitude's conversion by 5%. 3. Fewer Features = More Value — The Walkman succeeded because Sony REMOVED recording. QuickBooks wins with half the features at double the price. 4. Adding People Makes You Slower (Absolutely) — Companies produce MORE total output after layoffs. Coordination overhead is the silent killer. 5. What Customers Say They Want Is Meaningless — 93% said they wanted energy-efficient homes. Nobody bought them. "Bitchin' ain't switchin'." 6. Goals Are Not Strategy—They're the Opposite — Richard Rumelt says confusing goals for strategy is the most common strategic error. OKRs are often just wish lists. 7. Don't A/B Test Your Big Bets — Instagram and Airbnb actively reject testing for transformational changes. You can't A/B test your way to greatness. 8. Your Gut IS Data — Intuition is compressed experiential learning that isn't statistically significant yet. Don't discount it. 9. By the Time You're Thinking About Quitting, It's Too Late — Stewart Butterfield killed Glitch while it was still growing 6-7% weekly. That's why he could start Slack. 10. Most PMs Are Overpaid and Unnecessary — Marty Cagan himself says feature teams don't need PMs. Nikita Bier calls PM "not real." Nice job @claudeai
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Yeshwanth kumar retweeted
iykyk
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Yeshwanth kumar retweeted
Notice the date on this. Miguel got it right in 2018. That's why I follow him.
Picture of Donald Trump in the US economy drafting his tariff proposal
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Yeshwanth kumar retweeted
Unbelievably impressive. I think programmers are right to have some worry that the world of tomorrow won't need all of them. Illustrators, animators, and cartoonists surely already do. What a time to be alive.
What if Studio Ghibli directed Lord of the Rings? I spent $250 in Kling credits and 9 hours re-editing the Fellowship trailer to bring that vision to life—and I’ll show you exactly how I did it 👇🏼
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Yeshwanth kumar retweeted
its crazy how Slack has obliterated the corporate landscape by massively empowering the naturally socially anxious/autistic to be absolute demons in text channels and destroyed the average high EQ slow-typing product guy who just did not grow up fighting flame wars on Discord
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Yeshwanth kumar retweeted
It was the best of times (rapid progress in technology), it was the worst of times (boneheaded tariffs).
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Yeshwanth kumar retweeted
wow, found a rare interview of a DeepSeek co-founder talking about his first AI startup exit a few years ago
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Yeshwanth kumar retweeted
Today we’re launching our first homegrown AI model: an open source turn detection model for building voice agents. Instead of relying solely on voice activity detection (VAD), which only considers when a user is speaking, our model also considers what has and is being said in the context of a conversation and predicts when a user is finished expressing their thoughts before the agent responds. Conversations with AI voice agents using this new model flow much more naturally without constant interruptions from the AI— check it out (more videos, details, and code in the thread):
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Here is everything that happened in AI Agents this week 🧵  (save for later)
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Yeshwanth kumar retweeted
Eventual Consistency
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That’s an absurd penalty for @LandoNorris
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Yeshwanth kumar retweeted
I wish Twitter had a way to send all the people calling me antisemitic for talking about Palestine to the same place as the people calling me a genocide supporter for saying that blocking traffic is a stupid tactic, so they could argue with one another instead of me.
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Yeshwanth kumar retweeted
I don't agree with Elon about everything, but you have to give him this: He's achieved much more than roughly 100% of his critics.
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Yeshwanth kumar retweeted
When you’re in your 20s please live it up, go travel, go party, go experience the world and enjoy those years of true freedom. But then also build a SaaS startup on the side to $100 million in revenue and get acquired so you’re set financially too. – at San Mateo, CA
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