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What can us, engineers else learn from designers and design engineers? Turns out there’s lots, based on talking with one of the best design engineers in the industry, Maggie Appleton. Timestamps: 00:00 Intro 03:24 From anthropology to tech 10:18 What does a designer do? 18:23 How Maggie works 24:55... The case for planning with physical tools 31:53 Why Maggie is learning woodworking 33:13 Design engineers and engineering constraints 38:49 How Maggie uses Figma 40:30 Design at GitHub Next 45:12 How has AI changed design 50:37 When models design and why humans are still needed 53:30 UX and UI 58:29 Capability gaslighting 1:00:33 One Developer, Two Dozen Agents, Zero Alignment 1:07:21 Craft and AI tells 1:14:17 Visual gardens, home-cooked software, and barefoot developers 1:21:02 Advice for engineers and lessons from anthropology 1:25:34 Book recommendation Brought to you by: • turbopuffer – a vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable. • Antithesis – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages. • Entire – every agent prompt, tool call, stored in your repo, and mirrored. Set up with one click: Hope you enjoy this unusually visual episode - thanks again, Maggie!show more

Gergely Orosz

357,908 subscribers

64,127 views • 2 days ago •via X (Twitter)

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Gergely Orosz2 days ago

Also watch / listen at: • YouTube: • Spotify: • Apple: And a super relevant tactic from Maggie: she regularly builds her personal Figma called “Jigs,” which is also the name of a woodworking device that helps with a specific job. She regularly asks a coding agent to build a prototype that has sliders and color pickers so she can tweak it in realtime, like having a personal Figma! Eg here's one jig she created:

Marco Hefti2 days ago

The amount of cognitive load caused by interrupting someones daily workflow is so true There's so many things I'd like to change in my software that make it not feel like every other app, but then I'm like.. standards exist for a reason and this is what people are used to 😅 So it really is a balancing act of taking established principles and tweaking them just a little bit at a time It also reminds me of every time theres a redesign everyone complains, but after a few weeks no one talks about it anymore because everyone has already gotten used to it!

Viber · fireply.ai2 days ago

@Mappletons one dev twenty four agents zero alignment sounds like my weekend except i'm the only agent and i still lose track

Deep2 days ago

@Mappletons i steal two things from designers: clear naming and empty states. my agent demos got easier to explain once the buttons said what happens next.

Ash Designs2 days ago

@Mappletons The Craft and AI tells chapter is the one I'm jumping to first. Shipping is cheap now, so the small tells are what separate a product from a template...

Ricci Research2 days ago

@Mappletons "Capability gaslighting" deserves its own episode, and the woodworking chapter might be the secret thesis: wood is the one material with no Cmd+Z, which is exactly the constraint two dozen agents will never learn.

Soliman2 days ago

@Mappletons One person steering many agents with no shared picture of what each one is allowed to change is what Zero Alignment looks like in practice.

Gibson Han2 days ago

@Mappletons We are going back to wireframing on pen and paper hahaha

Crushed Between2 days ago

@Mappletons The designers on my team showed up with a working screen. We showed up with an estimate.

Simon Späti 🏔️2 days ago

@Mappletons I'm looking forward to that. I love the work Maggie did and is doing on second brain and web community.

Lorenzo Price2 days ago

@Mappletons The Figma timestamp plus GitHub Next's two-dozen-agent alignment problem is an excellent syllabus for engineers.

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1,022,946 views • 4 months ago

State of Enterprise AI 2026: Aaron Levie on Tokenmaxxing, The Rise of Headless, and AI-Proofing Your Job 00:00 Intro 01:18 Silicon Valley engineering vs. everyone else 05:35 Are enterprise CIOs actually bullish on AI? 08:51 Tokenmaxxing & why your AI bill is about to explode 11:34 The myth of falling token costs and AI spend escaping IT budgets 17:37 The $5B startup hiding in AI compute 18:14 The mosaic of models inside every enterprise 21:28 Why coding works and the rest of knowledge work doesn't 25:53 The Bob and Sally problem: access control breaks agents 30:31 Will enterprise AI really take 10 years to roll out 32:24 The capability overhang: why faster models slow diffusion 34:23 Data is the bottleneck (it always was) 39:02 The rise of internal forward-deployed engineers 41:23 Why the AI doomers are wrong about jobs 43:43 Headless software is inevitable 46:14 What replaces per-seat pricing 47:37 How Box itself is going headless 49:42 How the org chart actually evolves 1:00:33 Future-proofing yourself as an enterprise employee 1:06:40 Are we all just going to work for OpenAI and Anthropic? 1:07:11 Where startups can still win as the labs move up

State of Enterprise AI 2026: Aaron Levie on Tokenmaxxing, The Rise of Headless, and AI-Proofing Your Job 00:00 Intro 01:18 Silicon Valley engineering vs. everyone else 05:35 Are enterprise CIOs actually bullish on AI? 08:51 Tokenmaxxing & why your AI bill is about to explode 11:34 The myth of falling token costs and AI spend escaping IT budgets 17:37 The $5B startup hiding in AI compute 18:14 The mosaic of models inside every enterprise 21:28 Why coding works and the rest of knowledge work doesn't 25:53 The Bob and Sally problem: access control breaks agents 30:31 Will enterprise AI really take 10 years to roll out 32:24 The capability overhang: why faster models slow diffusion 34:23 Data is the bottleneck (it always was) 39:02 The rise of internal forward-deployed engineers 41:23 Why the AI doomers are wrong about jobs 43:43 Headless software is inevitable 46:14 What replaces per-seat pricing 47:37 How Box itself is going headless 49:42 How the org chart actually evolves 1:00:33 Future-proofing yourself as an enterprise employee 1:06:40 Are we all just going to work for OpenAI and Anthropic? 1:07:11 Where startups can still win as the labs move up

Matt Turck

49,691 views • 4 months ago

NEW: Dylan Field (Dylan Field), CEO of Figma (NYSE: FIG) How to Escape the "Permanent Underclass of Zero Taste" › Why AI prompts only get you the average › Why the market has design backwards Plus, Founders Fund's Mafia & Thiel Fellowship class behind Figma + Anthropic Recorded at Day 0 of Config 2026, San Francisco We Cover: › Vibe Mathing › Elon: Products vs Logos › AI's trust issue › Agents vs Employees › Engineers coding design › American Enterprise > › IQ ≠ Judgment or taste › What actually is a jailbreak? This was SO much fun!!! Can confirm Config-pilled. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Dylan Field, Co-Founder & CEO at Figma (00:57) Day Zero begins: backstage at Config (01:44) The "Coachella for Design" is real (02:35) Why Dylan started Config back in 2020 (03:47) Why "design is dead" is completely wrong (06:11) How Figma turned engineers into designers (06:54) Inside Config before the crowd arrives (07:55) The Config speakers Dylan can't wait to watch (11:34) Inside the exclusive Pantone Lounge (12:00) The one question every designer gets asked (13:16) Getting killed in every single game of Mafia (15:33) How to escape the permanent underclass of zero taste (19:51) Why execution is cheap but taste is everything (22:25) What actually builds a trusted brand (25:51) How AI agents are rewiring company structure (28:54) The AI safety debate happening right now (31:57) Why deep curiosity is Dylan's secret weapon (34:53) The real lesson from being a Thiel fellow (36:52) Rapid fire: Elad Gil's wildest question (38:04) What people are missing about AI & enterprise software (40:16) Where Figma goes next (41:21) Why Dylan is bullish on SpaceX (42:43) Elon Musk's logo theory (43:26) The mentors who shaped Dylan Field (45:20) Alan Kay, VR, and the future of human-computer interaction

Molly O’Shea

430,052 views • 2 months ago

In this episode of Design Review, Aaron Epstein sits down with Jorn van Dijk, the CEO and Co-founder of Framer. Together they unpack the brutal “gray zone” between early revenue and real product-market fit, the pivot that reignited their growth, and how to adapt as AI reshapes how we build and design software. 00:00 - Intro to Jorn van Dijk, the CEO and co-founder of Framer 00:34 - Framer’s Scale: $2B Valuation, 120 People around the globe 01:06 - Jorn’s Design Roots 01:49 - Why Dutch Design Culture Is So Strong 03:43 - Sofa: The Studio That Shaped Jorn (and His Co-Founder) 04:39 - Building Mac Products: Checkout, Versions, Kaleidoscope 06:13 - Apple Design Awards And A Game Changing Email 07:24 - Facebook Acquisition: Why They Wanted Designers 09:27 - Culture Shock: From 15-Person Studio to Facebook Scale 10:27 - Leaving Facebook: Intentionally Learning to Build a Big Company 13:12 - Early Experiments: Bitcoin App, Fashion App, Framer Prototype Tool 18:37 - The Plateau: Why Framer Studio Hit a Ceiling Around $4–5M ARR 23:52 - The Decision: Sell, Quit, or Pivot 25:30 - The Big Insight: People Hate Rebuilding 34:55 - AI + Design: What’s Changing & What Isn’t

In this episode of Design Review, Aaron Epstein sits down with Jorn van Dijk, the CEO and Co-founder of Framer. Together they unpack the brutal “gray zone” between early revenue and real product-market fit, the pivot that reignited their growth, and how to adapt as AI reshapes how we build and design software. 00:00 - Intro to Jorn van Dijk, the CEO and co-founder of Framer 00:34 - Framer’s Scale: $2B Valuation, 120 People around the globe 01:06 - Jorn’s Design Roots 01:49 - Why Dutch Design Culture Is So Strong 03:43 - Sofa: The Studio That Shaped Jorn (and His Co-Founder) 04:39 - Building Mac Products: Checkout, Versions, Kaleidoscope 06:13 - Apple Design Awards And A Game Changing Email 07:24 - Facebook Acquisition: Why They Wanted Designers 09:27 - Culture Shock: From 15-Person Studio to Facebook Scale 10:27 - Leaving Facebook: Intentionally Learning to Build a Big Company 13:12 - Early Experiments: Bitcoin App, Fashion App, Framer Prototype Tool 18:37 - The Plateau: Why Framer Studio Hit a Ceiling Around $4–5M ARR 23:52 - The Decision: Sell, Quit, or Pivot 25:30 - The Big Insight: People Hate Rebuilding 34:55 - AI + Design: What’s Changing & What Isn’t

Y Combinator

19,897 views • 7 months ago

PGX Ideas with Aravind Srinivas, Co-founder and CEO of Perplexity - What does it mean to be intelligent? Why humans wonder. Why we create. Whether AI understands anything at all or is it merely mimicking intelligence. And the deeper questions that follow from that. We spoke about emergence, India’s competitive culture, China, behaviorism, memory, learning, hardware, and the question of where this all leads. The AI Hindi-dubbed version of this episode is also attached in this thread. Enjoy. Timestamps 00:00 - How did Aravind get into AI? 13:05 - India’s competitive culture 15:05 - Talent problem or system failure? 16:25 - How can India evolve? 17:45 - China’s approach to research 21:02 - What’s cutting-edge in AI today? 25:02 - What creates value in an economy? 28:45 - What is the internet built on? 32:48 - Can AI assist humans? 35:25 - Why do humans wonder? 37:25 - Why do humans create? 40:50 - Does memory still matter? 43:15 - Does curiosity create knowledge? 45:40 - Biological vs artificial intelligence 51:24 - Is curiosity uniquely human? 58:55 - Can AI shape human thinking? 1:05:24 - Do we understand intelligence? 1:10:50 - Meaning beyond behaviorism 1:21:48 - How do kids learn to learn? 1:25:43 - Why is hardware innovation hard? 1:31:19 - Can AI feel? 1:47:35 - Questions for me

PGX Ideas with Aravind Srinivas, Co-founder and CEO of Perplexity - What does it mean to be intelligent? Why humans wonder. Why we create. Whether AI understands anything at all or is it merely mimicking intelligence. And the deeper questions that follow from that. We spoke about emergence, India’s competitive culture, China, behaviorism, memory, learning, hardware, and the question of where this all leads. The AI Hindi-dubbed version of this episode is also attached in this thread. Enjoy. Timestamps 00:00 - How did Aravind get into AI? 13:05 - India’s competitive culture 15:05 - Talent problem or system failure? 16:25 - How can India evolve? 17:45 - China’s approach to research 21:02 - What’s cutting-edge in AI today? 25:02 - What creates value in an economy? 28:45 - What is the internet built on? 32:48 - Can AI assist humans? 35:25 - Why do humans wonder? 37:25 - Why do humans create? 40:50 - Does memory still matter? 43:15 - Does curiosity create knowledge? 45:40 - Biological vs artificial intelligence 51:24 - Is curiosity uniquely human? 58:55 - Can AI shape human thinking? 1:05:24 - Do we understand intelligence? 1:10:50 - Meaning beyond behaviorism 1:21:48 - How do kids learn to learn? 1:25:43 - Why is hardware innovation hard? 1:31:19 - Can AI feel? 1:47:35 - Questions for me

Prakhar Gupta

32,104 views • 9 months ago

I asked Dan Martell to walk me through every level of making money with AI. He gave me the most simple, practical advice I've ever heard on this subject. Level 1 - Making $0 - $100k Level 2 - Making $1m - $10m Level 3 - Building a $10m++ enterprise. 0:00 Only 5% of the World Has Ever Paid for AI 0:46 The Easiest Thing to Sell With AI Right Now 1:56 The Marcus and Sophie Framework 4:24 Theory of Constraints (Right Problem to Solve) 5:33 What Is the Number One Business Constraint 7:13 How to Leave Your Job and Go All In 8:27 Business Is Simple Find a Problem and Solve It 9:08 Stop Getting Ready to Get Ready 9:33 The Sarah Story One Text and $10K 9:53 Pull Up Your Phone and Message Your Contacts 11:05 Dan's Son Gets His First Client at $800/Month 12:41 Best Employee vs. Best Employer 13:59 What Other Services Can You Sell With AI 14:44 Sales Is Not Talking It's Asking 17:01 What to Do When You Hate Your Business 18:40 Pain and Pleasure Are the Only Two Motivators 19:13 They Haven't Made It a Must Yet 20:29 Make It a Must Not a Nice to Have 21:06 The Jen Story and the Gasping Moment 22:17 How to Find Your First 10 to 15 Clients 28:38 The Personal Brand Play 33:06 Vision Is What AI Cannot Do 34:55 Hard for Computers Easy for Humans 36:13 Level 2 Making Your First Million With AI 37:18 The Replacement Ladder Framework 37:39 Admin First Then Delivery Then Marketing 39:09 Why Marketing Is the Biggest AI Category 39:32 Why You Should Keep Sales for Yourself 40:00 Level 5 Leadership and AI Agents 41:41 What a Fully AI Systems Business Looks Like 43:13 The Gym Owner With Three Locations 46:16 Shutting Down the Company for Two Days 46:37 Teaching the Whole Team to Code in Claude 49:28 Wayne the 62 Year Old Who Made $12K a Month 52:38 I Only Share What Actually Works 53:21 Whisper Flow and Talking to Your AI 56:41 Claude Chat Claude Coworker and Claude Code 57:57 The Claude Browser Extension 58:49 Claude Code Is Not Just for Developers 1:00:06 How to Migrate Your AI Memory Across Tools 1:01:08 Level 3 $1M to $10M and the Brand Play 1:02:05 Nobody Buys AI They Buy Trust 1:03:25 Brand Is Association and Association Is Trust 1:05:12 A Million Followers Is $10M in Activated Revenue 1:07:03 How to Keep AI From Becoming Slop 1:07:42 Human in the Loop 1:08:16 The 10 80 10 Rule and Why AI Is Now the 80 1:10:01 The Team FIRED Themselves 1:11:45 Dan's Free AI Curriculum for Your Team

Grant

168,385 views • 3 months ago

WHY THE BEST DESIGNERS MAKE THE WORST EMPLOYEES Simon Corry (Simon Corry), design leader now at Basis, joins Khushi (khushi) and me to talk about how he's built his career on his own terms, why he hires spiky builders, and what agents taught him building a game solo. 00:53 From call center manager to designer 03:39 Why he's the worst employee 10:21 How he hires for spiky, interesting people 13:51 How his agents decided to build a game engine 20:06 AI brain rot & untested agent code in prod 23:52 Design, eng, and product collapsing into one 26:29 Ramp Labs as a blueprint for experiments 31:08 Building out a neolab Basis 32:19 New media and testing the bleeding edge Dry Run

WHY THE BEST DESIGNERS MAKE THE WORST EMPLOYEES Simon Corry (Simon Corry), design leader now at Basis, joins Khushi (khushi) and me to talk about how he's built his career on his own terms, why he hires spiky builders, and what agents taught him building a game solo. 00:53 From call center manager to designer 03:39 Why he's the worst employee 10:21 How he hires for spiky, interesting people 13:51 How his agents decided to build a game engine 20:06 AI brain rot & untested agent code in prod 23:52 Design, eng, and product collapsing into one 26:29 Ramp Labs as a blueprint for experiments 31:08 Building out a neolab Basis 32:19 New media and testing the bleeding edge Dry Run

Eshita

10,776 views • 1 month ago

Few people care more about software performance than Casey Muratori. Give him a few minutes of your attention with this episode, and he'll convince you to learn to read Assembly (no, really, I finally started to read it, it's really not that scary, esp with an AI that can help explain the sequences). Timestamps: 00:00 Intro 05:17 Games at Microsoft 12:52 Building games 16:00 Why performance matters 27:12 Why you should learn to read assembly 30:36 Designing for optimization 42:51 How to get better at writing performant software 49:04 Understanding how the CPU works 55:53 Building games then and now 1:05:56 How game engines changed building games 1:10:48 Why new games compete with old games 1:13:25 GTA 6: why is it taking so long? 1:16:59 Casey's critique of clean code 1:21:48 Casey's take on TDD 1:24:30 What is good code? 1:27:32 What makes a good software engineer? 1:33:56 Why Casey doesn't code with AI 1:39:01 AI's impact on the game industry 1:44:43 AI and burnout 1:50:21 Why you should read papers Brought to you by: • Antithesis – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages • Sentry – application monitoring software considered “not bad” by millions of developers • turbopuffer – a vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable Three interesting things we talked about: 1. Is performance starting to matter to businesses? Enterprise software buyers care mainly about cost, compliance, and capabilities – but not performance. Even so, there are some products gaining major popularity and market share due to their performance, such as File Pilot (next-gen file explorer) and the Blick video editor. Is the tide turning? 2. Profiler-driven performance optimization is the wrong way to optimize The standard way of optimizing is to profile the application, tweak hotspots, then check if the stats have improved. But this only finds a local minimum; Casey says every engineer he’s worked with who was a great “optimizer” began by establishing what the hardware could theoretically do, and then did not stop until they’d closed the gap to that performance level. 3. Take a grain of salt with conventional wisdom that premature optimization is the “root of all evil” Many devs use it as an excuse to delay performance optimization, but Casey says that not optimizing in time could mean that only performance hotspots can be fixed later, and not the architectural issues that create poor performance. Architect your system to be performant, or you’ll have trouble solving problems without a rewrite!

Gergely Orosz

97,977 views • 1 month ago

LIVE NOW - Tempo Mainnet: The Race to Agentic Commerce Tempo is live, and the big bet is clear: AI agents need a native payment layer. Georgios Konstantopoulos and Brendan Ryan join Bankless to explore: - why Tempo launched with agentic payments front and center, - how MPP turns payments into auth, - why “give the agent the wallet” could unlock a new internet economy, - where MPP fits against x402, - what Tempo’s L1 design makes possible for builders. Enjoy the episode. --- TIMESTAMPS 0:00 Tempo Mainnet goes live 1:18 Why the launch is focused on agents 3:58 What MPP actually is 6:30 MPP vs x402 15:28 Why agentic commerce matters 20:08 The “original sin” of the internet 26:04 MCP, NLWeb, and the emerging agent stack 34:07 The onboarding flow: wallets for agents 37:11 How Tempo’s wallet security works 40:11 Tempo chain design and specs 51:13 Why build an L1 instead of an Ethereum L2? 56:10 The Ethereum tension 1:05:01 Agent identity, reputation, and ERC-8004 1:06:53 TIP20, stablecoins, and what can be built on Tempo 1:12:36 Builder opportunity in the agentic web

LIVE NOW - Tempo Mainnet: The Race to Agentic Commerce Tempo is live, and the big bet is clear: AI agents need a native payment layer. Georgios Konstantopoulos and Brendan Ryan join Bankless to explore: - why Tempo launched with agentic payments front and center, - how MPP turns payments into auth, - why “give the agent the wallet” could unlock a new internet economy, - where MPP fits against x402, - what Tempo’s L1 design makes possible for builders. Enjoy the episode. --- TIMESTAMPS 0:00 Tempo Mainnet goes live 1:18 Why the launch is focused on agents 3:58 What MPP actually is 6:30 MPP vs x402 15:28 Why agentic commerce matters 20:08 The “original sin” of the internet 26:04 MCP, NLWeb, and the emerging agent stack 34:07 The onboarding flow: wallets for agents 37:11 How Tempo’s wallet security works 40:11 Tempo chain design and specs 51:13 Why build an L1 instead of an Ethereum L2? 56:10 The Ethereum tension 1:05:01 Agent identity, reputation, and ERC-8004 1:06:53 TIP20, stablecoins, and what can be built on Tempo 1:12:36 Builder opportunity in the agentic web

Bankless

23,815 views • 6 months ago

What if we're actually in the middle of the third golden age of software engineering? This is what Grady Booch sees happening. If you are anxious about the state of the industry, you want to watch/listen to Grady's longer-term perspective and stories. Watch the full episode here: 00:00 Intro 01:58 The first golden age of software engineering 18:59 The software crisis 33:01 The second golden age of software engineering 42:21 Y2K and the Dotcom crash 45:47 Early AI 47:34 The third golden age of software engineering 51:48 Why software engineers will very much be needed 58:46 Grady responds to Dario Amodei 1:06:54 New skills engineers will need to succeed 1:10:04 Resources for studying complex systems 1:14:33 How to thrive during periods of change Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Join me online at the Sonar Summit on March 3rd, where I talk about practical tactics for the AI era. • WorkOS – Everything you need to make your app enterprise-ready.

What if we're actually in the middle of the third golden age of software engineering? This is what Grady Booch sees happening. If you are anxious about the state of the industry, you want to watch/listen to Grady's longer-term perspective and stories. Watch the full episode here: 00:00 Intro 01:58 The first golden age of software engineering 18:59 The software crisis 33:01 The second golden age of software engineering 42:21 Y2K and the Dotcom crash 45:47 Early AI 47:34 The third golden age of software engineering 51:48 Why software engineers will very much be needed 58:46 Grady responds to Dario Amodei 1:06:54 New skills engineers will need to succeed 1:10:04 Resources for studying complex systems 1:14:33 How to thrive during periods of change Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Join me online at the Sonar Summit on March 3rd, where I talk about practical tactics for the AI era. • WorkOS – Everything you need to make your app enterprise-ready.

Gergely Orosz

87,027 views • 7 months ago