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What’s changing in Java startup performance? Spring Boot engineer Moritz Halbritter explains GraalVM Native Image vs Project Leyden, developer experience in Spring Boot, and why AI still struggles with real-world Java codebases. 🎥 Watch now:

IntelliJ IDEA, a JetBrains IDE

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13,501 просмотров • 4 месяцев назад •via X (Twitter)

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Java is entering its agentic era. Watch a Java app evolve from legacy to modern, intelligent, and agentic systems with IntelliJ, GitHub Copilot, Spring AI, LangChain4j, and Microsoft Foundry at JDConf TOMORROW, April 8–9. Register and tune in:

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🚀 AI at the Edge with #Ubuntu & Renesas Electronics! At Embedded World 2025, we demonstrated how Ubuntu enables secure, scalable, and high-performance edge AI solutions. With Secure Boot, full disk encryption, and inference running directly on a CPU in kiosk mode, this setup showcases the future of embedded intelligence. Watch the demo in action! How do you see AI at the edge transforming industries? #Ubuntu #Renesas #ew25 #embeddedworld #IoT #EdgeAI

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Mario Nawfal

338,236 просмотров • 1 год назад

An agent-first world is around the corner — where more actions will likely be taken by AI than by humans when building software. Zeno Rocha, cofounder of Resend, and Yoko Li say this reality is shaping how developers build, and changing what user experience really means. Great developer experience alone won’t cut it. We’ll also need to build for agent experience (or AX) — rethinking flows, permissioning, and how we define (and audit) who’s doing what in our systems. Zeno and Yoko share why they believe email is the perfect proving ground for AI agents, how to design APIs for agents (not just humans), and what MCP means for the future of agent-native apps.

An agent-first world is around the corner — where more actions will likely be taken by AI than by humans when building software. Zeno Rocha, cofounder of Resend, and Yoko Li say this reality is shaping how developers build, and changing what user experience really means. Great developer experience alone won’t cut it. We’ll also need to build for agent experience (or AX) — rethinking flows, permissioning, and how we define (and audit) who’s doing what in our systems. Zeno and Yoko share why they believe email is the perfect proving ground for AI agents, how to design APIs for agents (not just humans), and what MCP means for the future of agent-native apps.

a16z

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Jordan Fisher (jordan ezra) is the co-founder & CEO of Standard AI and now leads an AI alignment research team at Anthropic. In his talk at AI Startup School, he frames the future of startups through questions rather than answers—asking how founders should navigate a world where AGI may be just a few years away. 0:00 – Why He's More Confused Than Ever 2:00 – Should You Even Start a Startup? 5:00 – Planning Beyond the Next Model 8:00 – Will Software Be Commoditized? 11:00 – Building AI-Native Teams 14:00 – Trust, Security, and Agents 18:00 – Auditing & Guardrails 21:00 – Alignment & Economic Pressure 24:00 – Data, Defensibility, and Hard Problems 28:00 – Neutrality and Control 32:00 – Changing the World vs. Just Making Money 36:00 – Build Something People Want (and Need) 39:00 – Audience Q&A

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She says she’s a cowgirl… but the first real test was taking off a pair of boots, and she looked like she was wrestling a wild animal in aisle six. One foot in the boot jack, both hands pulling like her life depended on it, face twisted in pure panic while everyone around her laughed. If your first pair of cowboy boots turns into a public breakdown, are you really built for the lifestyle—or just chasing the aesthetic? Maybe it was a genuine rookie mistake. Maybe it was all for attention. Either way, she turned a boot store into a full performance. So what’s the verdict—funny first-timer moment, or proof that some people want the cowgirl image without the grit that comes with it? 🤠🔥

She says she’s a cowgirl… but the first real test was taking off a pair of boots, and she looked like she was wrestling a wild animal in aisle six. One foot in the boot jack, both hands pulling like her life depended on it, face twisted in pure panic while everyone around her laughed. If your first pair of cowboy boots turns into a public breakdown, are you really built for the lifestyle—or just chasing the aesthetic? Maybe it was a genuine rookie mistake. Maybe it was all for attention. Either way, she turned a boot store into a full performance. So what’s the verdict—funny first-timer moment, or proof that some people want the cowgirl image without the grit that comes with it? 🤠🔥

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Sabai Protocol

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I still don't think people understand what just happened with Claude Code. There is now one tool that takes you from a rough idea to fully designed, agency-tier, App Store-ready screens in minutes. One design system, every screen, real native code. Most builders hand design to Claude Code, get AI-default screens, and wonder why their app looks like every other vibe coded project. This is the 3-step workflow that fixes it: (full breakdown in the article)

I still don't think people understand what just happened with Claude Code. There is now one tool that takes you from a rough idea to fully designed, agency-tier, App Store-ready screens in minutes. One design system, every screen, real native code. Most builders hand design to Claude Code, get AI-default screens, and wonder why their app looks like every other vibe coded project. This is the 3-step workflow that fixes it: (full breakdown in the article)

Prajwal Tomar

146,206 просмотров • 19 дней назад

In 2026, I expect we’ll see the birth of the first AI-native university. Over the past several years, universities have dabbled in AI-enabled grading, tutoring, and scheduling. But what’s emerging now is deeper, an adaptive academic organism that learns and optimizes itself in real time. Picture an institution where courses, advising, research collaboration, and even building operations continuously adapt based on data feedback loops. Schedules optimize themselves. Reading lists evolve nightly and rewrite themselves as new research appears. Learning paths shift in real time to meet each student’s pace and context. We’re already seeing precursors. ASU’s campus-wide partnership with OpenAI produced hundreds of AI-driven projects across teaching and administration. SUNY now embeds AI literacy into its general education requirements. These are the building blocks for more foundational deployment. In the AI-native university, professors become architects of learning, curating data, tuning models, and teaching students how to interrogate machine reasoning Assessment shifts, too. Detection tools and plagiarism bans give way to AI-aware evaluation, grading students on how they use AI, not whether they used it. Transparency and tactful application replaces prohibition. And as every industry struggles to hire people who can design, govern, and collaborate with AI systems, this new university becomes the training ground, producing graduates fluent in orchestration who help augment a rapidly shifting workforce. This AI-native university will become the talent engine for a new economy. Do you think an AI native university will arise in 2026? Leave your thoughts in the comments.

In 2026, I expect we’ll see the birth of the first AI-native university. Over the past several years, universities have dabbled in AI-enabled grading, tutoring, and scheduling. But what’s emerging now is deeper, an adaptive academic organism that learns and optimizes itself in real time. Picture an institution where courses, advising, research collaboration, and even building operations continuously adapt based on data feedback loops. Schedules optimize themselves. Reading lists evolve nightly and rewrite themselves as new research appears. Learning paths shift in real time to meet each student’s pace and context. We’re already seeing precursors. ASU’s campus-wide partnership with OpenAI produced hundreds of AI-driven projects across teaching and administration. SUNY now embeds AI literacy into its general education requirements. These are the building blocks for more foundational deployment. In the AI-native university, professors become architects of learning, curating data, tuning models, and teaching students how to interrogate machine reasoning Assessment shifts, too. Detection tools and plagiarism bans give way to AI-aware evaluation, grading students on how they use AI, not whether they used it. Transparency and tactful application replaces prohibition. And as every industry struggles to hire people who can design, govern, and collaborate with AI systems, this new university becomes the training ground, producing graduates fluent in orchestration who help augment a rapidly shifting workforce. This AI-native university will become the talent engine for a new economy. Do you think an AI native university will arise in 2026? Leave your thoughts in the comments.

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Every week another AI image app hits the top charts. The window is open, but not forever. That's why I built Platano. Today it's production ready. What's inside: - Expo SDK 56 - Agent skills for setup, rebranding, adding languages, and more - Fully native iOS and Android - Material You on Android, Liquid Glass with iOS 18 fallbacks - Onboarding flow battle-tested in my AI Tattoo app (live in the App Store) - RevenueCat payments - AI editor with Nano Banana 2 - Clean architecture your agent can extend - Interactive CLI to spin it up I use this as the base for every real app I'm building now, not just AI image apps. Ship something maintainable. Validate fast. (link below)

Beto

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Claude Code creator Boris Cherny: "Verification is the single most important part of closed-loop development" "Companies underinvest in it, and that is the biggest mistake" In a 26-minute talk, Boris breaks down real AI coding loops with Spotify's Chief Engineer: 00:00 - Closed-loop development 08:33 - Why one-shot code generation fails 10:02 - Agentic verifier and PR success rate 12:00 - Verification loops without humans in the loop 14:00 - Tests, skills, CLAUDE.md, and MCP as the loop infrastructure 20:11 - Why consistent codebases make agents work better This one video is worth more than 100 Claude coding setup tutorials Bookmark and watch it today Then read the full guide on loop engineering below

Claude Code creator Boris Cherny: "Verification is the single most important part of closed-loop development" "Companies underinvest in it, and that is the biggest mistake" In a 26-minute talk, Boris breaks down real AI coding loops with Spotify's Chief Engineer: 00:00 - Closed-loop development 08:33 - Why one-shot code generation fails 10:02 - Agentic verifier and PR success rate 12:00 - Verification loops without humans in the loop 14:00 - Tests, skills, CLAUDE.md, and MCP as the loop infrastructure 20:11 - Why consistent codebases make agents work better This one video is worth more than 100 Claude coding setup tutorials Bookmark and watch it today Then read the full guide on loop engineering below

rari

69,140 просмотров • 4 дней назад

Google DeepMind Developers: How Nano Banana Was Made In this episode, we sat down with Google DeepMind’s Oliver Wang and Nicole Brichtova to discuss how Nano Banana was created, why it became so viral, and what’s in store for the future of image and video editing. 00:00 Intro 02:00 The origin of Nano Banana 06:20 Seeing yourself in AI 11:00 Control & character consistency 17:10 AI in education and visual learning 24:10 2D vs 3D: Debate over world models 31:10 The Japan phenomenon 35:00 From images to video 41:00 Working with artists 47:30 The next era of image models 53:50 Closing thoughts Oliver Wang Nicole Brichtova Guido Appenzeller Yoko

Google DeepMind Developers: How Nano Banana Was Made In this episode, we sat down with Google DeepMind’s Oliver Wang and Nicole Brichtova to discuss how Nano Banana was created, why it became so viral, and what’s in store for the future of image and video editing. 00:00 Intro 02:00 The origin of Nano Banana 06:20 Seeing yourself in AI 11:00 Control & character consistency 17:10 AI in education and visual learning 24:10 2D vs 3D: Debate over world models 31:10 The Japan phenomenon 35:00 From images to video 41:00 Working with artists 47:30 The next era of image models 53:50 Closing thoughts Oliver Wang Nicole Brichtova Guido Appenzeller Yoko

a16z

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Here’s why OpenHome creator Jesse Leimgruber says, if you’re still prompting OpenClaw🦞 on a screen, you’re falling behind! The whole point of AI agents is that they can do things for you in the real world. But what’s the point if you’re still interacting with them exclusively through a laptop. That’s why Jesse created a smart speaker that allows you to interact vocally with your agent from any room in your home, 24/7. Having an agent listen in on your conversations, and learn all about you and your life in context, opens up an entirely new level of productivity… and might just save your Valentine’s Day as well.

Here’s why OpenHome creator Jesse Leimgruber says, if you’re still prompting OpenClaw🦞 on a screen, you’re falling behind! The whole point of AI agents is that they can do things for you in the real world. But what’s the point if you’re still interacting with them exclusively through a laptop. That’s why Jesse created a smart speaker that allows you to interact vocally with your agent from any room in your home, 24/7. Having an agent listen in on your conversations, and learn all about you and your life in context, opens up an entirely new level of productivity… and might just save your Valentine’s Day as well.

This Week in Startups

209,839 просмотров • 5 месяцев назад

Bears HC Ben Johnson is eager to get back to work with QB Caleb Williams now that he has experience working with Ben: “He worked his tail off throughout the whole season and we saw immense improvement from the spring time all the way to the end of the year. I’m really looking forward to us coming back and not having to start from ground one with him. We will be able to be much further along than what we were a year ago.” If we thought the team was fun to watch in Year 1 just imagine what’s in store for Year 2 now that the players know what to expect.📈 🎥: SiriusXM NFL Radio

Bears HC Ben Johnson is eager to get back to work with QB Caleb Williams now that he has experience working with Ben: “He worked his tail off throughout the whole season and we saw immense improvement from the spring time all the way to the end of the year. I’m really looking forward to us coming back and not having to start from ground one with him. We will be able to be much further along than what we were a year ago.” If we thought the team was fun to watch in Year 1 just imagine what’s in store for Year 2 now that the players know what to expect.📈 🎥: SiriusXM NFL Radio

Bearsszn

59,202 просмотров • 4 месяцев назад

⚫️ UNCANNY VALLEY: AI IN SPORTS — FAIR OR UNFAIR ADVANTAGE? Are we witnessing the end of human merit in sports? Swupnil Sahai 🎾🧠—ex-Tesla engineer and co-founder of SwingVision—thinks AI isn't just changing the game. It's redefining the rules, the training, even the players themselves. From iPhones that out-call line judges to AI coaching that levels the field, this episode explores what happens when everyone has a superpower—and why the next era of sports might feel more like cyborg vs. cyborg. But Swupnil says the real win? It's access. AI could democratize elite performance for everyone. Welcome to The Uncanny Valley Weekly Series with Dr Danish, Fridays at 4:20PM ET, ONLY on 𝕏. Episode 8: THE AUGMENTED ATHLETE—ARE WE ALL AI JUICING NOW? 00:22 – “It’s already better than us at some tasks.” 01:21 – Why user-friendly AI will explode in the next 24 months. 02:41 – Most people still underestimate what’s coming. 04:30 – Universal basic income? Guardrails? Swupnil says we better start now. 06:08 – “AI might be more dangerous than nukes.” 07:30 – The kill switch question—and why Tesla has it right. 08:27 – AI is now coaching, calling, and editing your tennis matches. 09:25 – AI > coach? Why SwingVision is training better and cheaper. 10:29 – The Elon Musk moment that changed everything. 12:48 – On-device AI: faster, private, and zero marginal cost. 15:21 – No data? No problem. Building training sets from scratch. 16:32 – AI won’t ruin sports—it could equalize them. 17:43 – Microchips and implants: when tech becomes the body. 19:29 – Will SwingVision become more than sports? 20:00 – Craziest prediction: AI commentators for every high school game. 21:50 – Subscription vs. surveillance: the real cost of AI access. 23:42 – Hardware is king—and it’s catching up fast. 24:54 – “10 people will run the next billion-dollar startup.” 25:33 – His biggest fear? “Regulation is too slow—and bad actors move fast.” 26:06 – His message to AGI in 2040: “Hey... we come in peace.” 28:33 – Trusted by pros like Andy Roddick + 100+ D1 teams. 29:36 – Are we all just juicing with AI now? 30:48 – “It’s still up to you. It’s on your racket. Literally.”

⚫️ UNCANNY VALLEY: AI IN SPORTS — FAIR OR UNFAIR ADVANTAGE? Are we witnessing the end of human merit in sports? Swupnil Sahai 🎾🧠—ex-Tesla engineer and co-founder of SwingVision—thinks AI isn't just changing the game. It's redefining the rules, the training, even the players themselves. From iPhones that out-call line judges to AI coaching that levels the field, this episode explores what happens when everyone has a superpower—and why the next era of sports might feel more like cyborg vs. cyborg. But Swupnil says the real win? It's access. AI could democratize elite performance for everyone. Welcome to The Uncanny Valley Weekly Series with Dr Danish, Fridays at 4:20PM ET, ONLY on 𝕏. Episode 8: THE AUGMENTED ATHLETE—ARE WE ALL AI JUICING NOW? 00:22 – “It’s already better than us at some tasks.” 01:21 – Why user-friendly AI will explode in the next 24 months. 02:41 – Most people still underestimate what’s coming. 04:30 – Universal basic income? Guardrails? Swupnil says we better start now. 06:08 – “AI might be more dangerous than nukes.” 07:30 – The kill switch question—and why Tesla has it right. 08:27 – AI is now coaching, calling, and editing your tennis matches. 09:25 – AI > coach? Why SwingVision is training better and cheaper. 10:29 – The Elon Musk moment that changed everything. 12:48 – On-device AI: faster, private, and zero marginal cost. 15:21 – No data? No problem. Building training sets from scratch. 16:32 – AI won’t ruin sports—it could equalize them. 17:43 – Microchips and implants: when tech becomes the body. 19:29 – Will SwingVision become more than sports? 20:00 – Craziest prediction: AI commentators for every high school game. 21:50 – Subscription vs. surveillance: the real cost of AI access. 23:42 – Hardware is king—and it’s catching up fast. 24:54 – “10 people will run the next billion-dollar startup.” 25:33 – His biggest fear? “Regulation is too slow—and bad actors move fast.” 26:06 – His message to AGI in 2040: “Hey... we come in peace.” 28:33 – Trusted by pros like Andy Roddick + 100+ D1 teams. 29:36 – Are we all just juicing with AI now? 30:48 – “It’s still up to you. It’s on your racket. Literally.”

Mario Nawfal

1,602,951 просмотров • 1 год назад

Cards vs stablecoins for agentic payments? Both. And here is why. Cuy Sheffield (Visa Crypto) and Jay Yu 🐟 (Pantera Capital) join our Stateful podcast, hosted by Mason Nystrom. In this episode, they cover everything at the intersection of payments, AI, and crypto: - Stablecoin supply up 40%, adjusted volume up 90% in 2025 and still accelerating - The AI mullet: cards in the front, stablecoins in the back - Vibe coders are the most exciting customer segment on the planet. One human companies are coming. - Kill the API key: wallet identity over X402 and MPP is a 10x better developer experience - Why cards are the best way for agents to pay and be paid. 01:08 How Stablecoins Grew 40% in 2025 02:42 Why Stablecoins Work Like Cards 04:16 Visa's Payment Infrastructure Play 05:14 Permissionless vs Vertical Stablecoin Networks 07:32 Agentic Payments: Real vs Hype 09:04 x402: The Agenctic Inflection Point 09:30 Killing API Keys With Wallets 13:00 Building for the Vibe Coder 14:54 Cards vs Crypto: The Real Debate 16:50 What Actually Works for Builders 18:49 Cross-Chain Payment Infrastructure 21:36 Keys, Wallets & User Experience 24:36 Future of Autonomous Payments 29:13 What Gets Builders Most Excited 34:31 Agentic Payment Holy Grails

Cards vs stablecoins for agentic payments? Both. And here is why. Cuy Sheffield (Visa Crypto) and Jay Yu 🐟 (Pantera Capital) join our Stateful podcast, hosted by Mason Nystrom. In this episode, they cover everything at the intersection of payments, AI, and crypto: - Stablecoin supply up 40%, adjusted volume up 90% in 2025 and still accelerating - The AI mullet: cards in the front, stablecoins in the back - Vibe coders are the most exciting customer segment on the planet. One human companies are coming. - Kill the API key: wallet identity over X402 and MPP is a 10x better developer experience - Why cards are the best way for agents to pay and be paid. 01:08 How Stablecoins Grew 40% in 2025 02:42 Why Stablecoins Work Like Cards 04:16 Visa's Payment Infrastructure Play 05:14 Permissionless vs Vertical Stablecoin Networks 07:32 Agentic Payments: Real vs Hype 09:04 x402: The Agenctic Inflection Point 09:30 Killing API Keys With Wallets 13:00 Building for the Vibe Coder 14:54 Cards vs Crypto: The Real Debate 16:50 What Actually Works for Builders 18:49 Cross-Chain Payment Infrastructure 21:36 Keys, Wallets & User Experience 24:36 Future of Autonomous Payments 29:13 What Gets Builders Most Excited 34:31 Agentic Payment Holy Grails

Pantera Capital

33,272 просмотров • 3 месяцев назад

.funkii.sui put $100K of his own money in, shipped 5 protocols solo, and hit 8 figures in revenue. with no team, no grants, just conviction. The full conversation on why he's building on Sui 👇 Timestamps: 0:00 — Intro 0:55 — Funkii's background & going all-in on Sui 3:00 — How he discovered Sui 6:30 — Why Move is safer than Solidity 9:00 — Sui developer experience vs other chains 12:00 — Is Sui still early? 14:30 — Mission 69B: the company behind it all 17:00 — What’s Faith 20:00 — Tide: revenue-backed fundraising 25:00 — Why crypto is here to stay 27:30 — AI agents & crypto payments 33:00 — Walrus, Deep Book & the full Sui stack 36:00 — Cannibal: a permissionless Polymarket on Sui 40:30 — Distribution & growth strategy 42:00 — Sui's breakout moment 44:00 — Funkii's favorite Sui project

.funkii.sui put $100K of his own money in, shipped 5 protocols solo, and hit 8 figures in revenue. with no team, no grants, just conviction. The full conversation on why he's building on Sui 👇 Timestamps: 0:00 — Intro 0:55 — Funkii's background & going all-in on Sui 3:00 — How he discovered Sui 6:30 — Why Move is safer than Solidity 9:00 — Sui developer experience vs other chains 12:00 — Is Sui still early? 14:30 — Mission 69B: the company behind it all 17:00 — What’s Faith 20:00 — Tide: revenue-backed fundraising 25:00 — Why crypto is here to stay 27:30 — AI agents & crypto payments 33:00 — Walrus, Deep Book & the full Sui stack 36:00 — Cannibal: a permissionless Polymarket on Sui 40:30 — Distribution & growth strategy 42:00 — Sui's breakout moment 44:00 — Funkii's favorite Sui project

Sooraj

12,400 просмотров • 3 месяцев назад