Podcasts about Cursor

This week, we discuss Apps in ChatGPT, OpenAI's Agent SDK and Codex. Plus, Matt has a possum problem down under. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/88Cz6K0UGjc?si=rjPnzkxY6-34wJ99) 541 (https://www.youtube.com/live/88Cz6K0UGjc?si=rjPnzkxY6-34wJ99) Runner-up Titles Living in the dark ages of Sequoia He's the racoon remover of the neighborhood Don't say we don't cover everything They're hoping someone's going to unlock a lot of value here, because I'm not seeing it The Low Code Trap Use the code “SDT150” and we'll send you money Rundown Open AI DevDay (https://openai.com/devday/) The Next Great Distribution Shift (https://blog.brianbalfour.com/p/the-next-great-distribution-shift) AMD stock skyrockets 30% as OpenAI looks to take stake in AI chipmaker (https://www.cnbc.com/2025/10/06/openai-amd-chip-deal-ai.html) OpenAI's Golden Touch Spreads as Stocks Soar (https://www.bloomberg.com/news/articles/2025-10-06/openai-s-golden-touch-spreads-as-stocks-soar-off-mere-mentions?cmpid=BBD100725_MONEYSTUFF&utm_medium=email&utm_source=newsletter&utm_term=251007&utm_campaign=moneystuff) OpenAI Is Good at Deals (https://www.bloomberg.com/opinion/newsletters/2025-10-06/openai-is-good-at-deals?srnd=undefined&embedded-checkout=true) (https://venturebeat.com/ai/github-leads-the-enterprise-claude-leads-the-pack-cursors-speed-cant-close)## Relevant to your Interests Your Meta AI Chats Will Soon Influence the Ads You See (https://www.macrumors.com/2025/10/01/meta-ai-ad-targeting/) AWS API MCP Server v1.0.0 release - AWS (https://aws.amazon.com/about-aws/whats-new/2025/10/aws-api-mcp-server-v1-0-0-release/) Inside the cybersecurity boom, strong team, and bold gamble that helped Wiz CEO Assaf Rappaport win a $32 billion deal with Google (https://fortune.com/article/wiz-cloud-security-ceo-assaf-rappaport-google-sundar-pichai/) Linus Torvalds Lashes Out At RISC-V Big Endian Plans (https://www.phoronix.com/news/Torvalds-No-RISC-V-BE) Open Printer (https://www.crowdsupply.com/open-tools/open-printer) Have we passed peak social media? (https://archive.is/10cll#selection-1851.0-1854.0) Apple working on MCP support on Mac, iPhone, and iPad (https://9to5mac.com/2025/09/22/macos-tahoe-26-1-beta-1-mcp-integration/) A cartoonist's review of AI art (https://theoatmeal.com/comics/ai_art) GitHub leads the enterprise, Claude leads the pack—Cursor's speed can't close (https://venturebeat.com/ai/github-leads-the-enterprise-claude-leads-the-pack-cursors-speed-cant-close) Cursor CLI (https://cursor.com/cli) Introducing Claude Sonnet 4.5 (https://www.anthropic.com/news/claude-sonnet-4-5) GitHub Copilot CLI is now in public preview (https://github.blog/changelog/2025-09-25-github-copilot-cli-is-now-in-public-preview/) Meet Jules Tools: A Command Line Companion for Google's Async Coding Agent (https://developers.googleblog.com/en/meet-jules-tools-a-command-line-companion-for-googles-async-coding-agent/) Announcing The Gem Cooperative (https://martinemde.com/2025/10/05/announcing-gem-coop.html) Qualcomm Buys Arduino, Will Bring AI Tools to Your DIY Tech Projects (https://www.pcmag.com/news/qualcomm-buys-arduino-will-bring-ai-tools-to-your-diy-tech-projects) Listener Feedback Join the Boulder AWS - Amazon Web Services | Meetup (https://www.meetup.com/boulder-aws-amazon-web-services/) Conferences AI for the Rest of Us (https://aifortherestofus.live/london-2025), Coté speaking, October 15th-16th, London. Use code SDT20 for 20% off. Wiz Wizdom Conferences (https://www.wiz.io/wizdom), NYC November 3-5, London November 17-19 SREDay Amsterdam (https://sreday.com/2025-amsterdam-q4/), Coté speaking, November 7th. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Shark NV352 Navigator Lift Away Upright Vacuum (https://www.amazon.com/dp/B004Q4DRJW?ref=ppx_yo2ov_dt_b_fed_asin_title&th=1) Matt: Murderbot (https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://tv.apple.com/us/show/murderbot/umc.cmc.5owrzntj9v1gpg31wshflud03&ved=2ahUKEwjYg_bfyZWQAxVvmmoFHYDdH30QFnoECBQQAQ&usg=AOvVaw0rXcF6igz8j5-_fPSRIRoB) Photo Credits Header (https://unsplash.com/photos/a-small-animal-sitting-on-top-of-a-leaf-covered-ground-kyHACltnSgU)

Nick Lane has some pretty wild ideas about the evolution of life.He thinks early life was continuous with the spontaneous chemistry of undersea hydrothermal vents.Nick's story may be wrong, but I find it remarkable that with just that starting point, you can explain so much about why life is the way that it is — the things you're supposed to just take as givens in biology class:* Why are there two sexes? Why sex at all?* Why are bacteria so simple despite being around for 4 billion years? Why is there so much shared structure between all eukaryotic cells despite the enormous morphological variety between animals, plants, fungi, and protists?* Why did the endosymbiosis event that led to eukaryotes happen only once, and in the particular way that it did?* Why is all life powered by proton gradients? Why does all life on Earth share not only the Krebs Cycle, but even the intermediate molecules like Acetyl-CoA?His theory implies that early life is almost chemically inevitable (potentially blooming on hundreds of millions of planets in the Milky Way alone), and that the real bottleneck is the complex eukaryotic cell.Watch on YouTube; listen on Apple Podcasts or Spotify.Sponsors* Gemini in Sheets lets you turn messy text into structured data. We used it to classify all our episodes by type and topic, no manual tagging required. If you're a Google Workspace user, you can get started today at docs.google.com/spreadsheets/* Labelbox has a massive network of domain experts (called Alignerrs) who help train AI models in a way that ensures they understand the world deeply, not superficially. These Alignerrs are true experts — one even tutored me in chemistry as I prepped for this episode. Learn more at labelbox.com/dwarkesh* Lighthouse helps frontier technology companies like Cursor and Physical Intelligence navigate the U.S. immigration system and hire top talent from around the world. Lighthouse handles everything, maximizing the probability of visa approval while minimizing the work you have to do. Learn more at lighthousehq.com/employersTo sponsor a future episode, visit dwarkesh.com/advertise.Timestamps(00:00:00) – The singularity that unlocked complex life(00:08:26) – Early life continuous with Earth's geochemistry(00:23:36) – Eukaryotes are the great filter for intelligent life(00:42:16) – Mitochondria are the reason we have sex(01:08:12) – Are bioelectric fields linked to consciousness? Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

NLW breaks down five ways businesses are already using OpenAI's Sora 2 model — from product design and e-commerce video automation to creative marketing campaigns and new content platform opportunities. He also shares a practical guide to prompting for the best Sora results, explaining how to balance creativity with control and why “style and structure” matter most for high-quality output. Plus, in the headlines: Nvidia says 100% of its engineers now use AI coding tools like Cursor, Google launches Gemini 2.5 for computer use, Anthropic partners with IBM and Deloitte, and xAI releases a major upgrade to its Imagine video model.Brought to you by:Is your enterprise ready for the future of agentic AI?⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit AGNTCY.org⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit Outshift Internet of Agents⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Notion AI today with Notion 3.0 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ntn.so/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Insightwise - AI for the entire consulting lifecycle ⁠⁠⁠⁠⁠⁠https://www.insightwise.ai/⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? nlw@aidailybrief.ai

AI Assisted Coding: From Deterministic to AI-Driven—The New Paradigm of Software Development, With Markus Hjort In this BONUS episode, we dive deep into the emerging world of AI-assisted coding with Markus Hjort, CTO of Bitmagic. Markus shares his hands-on experience with what's being called "vibe coding" - a paradigm shift where developers work more like technical product owners, guiding AI agents to produce code while focusing on architecture, design patterns, and overall system quality. This conversation explores not just the tools, but the fundamental changes in how we approach software engineering as a team sport. Defining Vibecoding: More Than Just Autocomplete "I'm specifying the features by prompting, using different kinds of agentic tools. And the agent is producing the code. I will check how it works and glance at the code, but I'm a really technical product owner." Vibecoding represents a spectrum of AI-assisted development approaches. Markus positions himself between pure "vibecoding" (where developers don't look at code at all) and traditional coding. He produces about 90% of his code using AI tools, but maintains technical oversight by reviewing architectural patterns and design decisions. The key difference from traditional autocomplete tools is the shift from deterministic programming languages to non-deterministic natural language prompting, which requires an entirely different way of thinking about software development. The Paradigm Shift: When AI Changed Everything "It's a different paradigm! Looking back, it started with autocomplete where Copilot could implement simple functions. But the real change came with agentic coding tools like Cursor and Claude Code." Markus traces his journey through three distinct phases. First came GitHub Copilot's autocomplete features for simple functions - helpful but limited. Next, ChatGPT enabled discussing architectural problems and getting code suggestions for unfamiliar technologies. The breakthrough arrived with agentic tools like Cursor and Claude Code that can autonomously implement entire features. This progression mirrors the historical shift from assembly to high-level languages, but with a crucial difference: the move from deterministic to non-deterministic communication with machines. Where Vibecoding Works Best: Knowing Your Risks "I move between different levels as I go through different tasks. In areas like CSS styling where I'm not very professional, I trust the AI more. But in core architecture where quality matters most, I look more thoroughly." Vibecoding effectiveness varies dramatically by context. Markus applies different levels of scrutiny based on his expertise and the criticality of the code. For frontend work and styling where he has less expertise, he relies more heavily on AI output and visual verification. For backend architecture and core system components, he maintains closer oversight. This risk-aware approach is essential for startup environments where developers must wear multiple hats. The beauty of this flexibility is that AI enables developers to contribute meaningfully across domains while maintaining appropriate caution in critical areas. Teaching Your Tools: Making AI-Assisted Coding Work "You first teach your tool to do the things you value. Setting system prompts with information about patterns you want, testing approaches you prefer, and integration methods you use." Success with AI-assisted coding requires intentional configuration and practice. Key strategies include: System prompts: Configure tools with your preferred patterns, testing approaches, and architectural decisions Context management: Watch context length carefully; when the AI starts making mistakes, reset the conversation Checkpoint discipline: Commit working code frequently to Git - at least every 30 minutes, ideally after every small working feature Dual AI strategy: Use ChatGPT or Claude for architectural discussions, then bring those ideas to coding tools for implementation Iteration limits: Stop and reassess after roughly 5 failed iterations rather than letting AI continue indefinitely Small steps: Split features into minimal increments and commit each piece separately In this segment we refer to the episode with Alan Cyment on AI Assisted Coding, and the Pachinko coding anti-pattern.  Team Dynamics: Bigger Chunks and Faster Coordination "The speed changes a lot of things. If everything goes well, you can produce so much more stuff. So you have to have bigger tasks. Coordination changes - we need bigger chunks because of how much faster coding is." AI-assisted coding fundamentally reshapes team workflows. The dramatic increase in coding speed means developers need larger, more substantial tasks to maintain flow and maximize productivity. Traditional approaches of splitting stories into tiny tasks become counterproductive when implementation speed increases 5-10x. This shift impacts planning, requiring teams to think in terms of complete features rather than granular technical tasks. The coordination challenge becomes managing handoffs and integration points when individuals can ship significant functionality in hours rather than days. The Non-Deterministic Challenge: A New Grammar "When you're moving from low-level language to higher-level language, they are still deterministic. But now with LLMs, it's not deterministic. This changes how we have to think about coding completely." The shift to natural language prompting introduces fundamental uncertainty absent from traditional programming. Unlike the progression from assembly to C to Python - all deterministic - working with LLMs means accepting probabilistic outputs. This requires developers to adopt new mental models: thinking in terms of guidance rather than precise instructions, maintaining checkpoints for rollback, and developing intuition for when AI is "hallucinating" versus producing valid solutions. Some developers struggle with this loss of control, while others find liberation in focusing on what to build rather than how to build it. Code Reviews and Testing: What Changes? "With AI, I spend more time on the actual product doing exploratory testing. The AI is doing the coding, so I can focus on whether it works as intended rather than syntax and patterns." Traditional code review loses relevance when AI generates syntactically correct, pattern-compliant code. The focus shifts to testing actual functionality and user experience. Markus emphasizes: Manual exploratory testing becomes more important as developers can't rely on having written and understood every line Test discipline is critical - AI can write tests that always pass (assert true), so verification is essential Test-first approach helps ensure tests actually verify behavior rather than just existing Periodic test validation: Randomly modify test outputs to verify they fail when they should Loosening review processes to avoid bottlenecks when code generation accelerates dramatically Anti-Patterns and Pitfalls to Avoid Several common mistakes emerge when developers start with AI-assisted coding: Continuing too long: When AI makes 5+ iterations without progress, stop and reset rather than letting it spiral Skipping commits: Without frequent Git checkpoints, recovery from AI mistakes becomes extremely difficult Over-reliance without verification: Trusting AI-generated tests without confirming they actually test something meaningful Ignoring context limits: Continuing to add context until the AI becomes confused and produces poor results Maintaining traditional task sizes: Splitting work too granularly when AI enables completing larger chunks Forgetting exploration: Reading about tools rather than experimenting hands-on with your own projects The Future: Autonomous Agents and Automatic Testing "I hope that these LLMs will become larger context windows and smarter. Tools like Replit are pushing boundaries - they can potentially do automatic testing and verification for you." Markus sees rapid evolution toward more autonomous development agents. Current trends include: Expanded context windows enabling AI to understand entire codebases without manual context curation Automatic testing generation where AI not only writes code but also creates and runs comprehensive test suites Self-verification loops where agents test their own work and iterate without human intervention Design-to-implementation pipelines where UI mockups directly generate working code Agentic tools that can break down complex features autonomously and implement them incrementally The key insight: we're moving from "AI helps me code" to "AI codes while I guide and verify" - a fundamental shift in the developer's role from implementer to architect and quality assurance. Getting Started: Experiment and Learn by Doing "I haven't found a single resource that covers everything. My recommendation is to try Claude Code or Cursor yourself with your own small projects. You don't know the experience until you try it." Rather than pointing to comprehensive guides (which don't yet exist for this rapidly evolving field), Markus advocates hands-on experimentation. Start with personal projects where stakes are low. Try multiple tools to understand their strengths. Build intuition through practice rather than theory. The field changes so rapidly that reading about tools quickly becomes outdated - but developing the mindset and practices for working with AI assistance provides durable value regardless of which specific tools dominate in the future. About Markus Hjort Markus is Co-founder and CTO of Bitmagic, and has over 20 years of software development expertise. Starting with Commodore 64 game programming, his career spans gaming, fintech, and more. As a programmer, consultant, agile coach, and leader, Markus has successfully guided numerous tech startups from concept to launch. You can connect with Markus Hjort on LinkedIn.

In this episode of JavaScript Jabber, I sit down with AWS's Clare Liguori and Erik Hanchett to talk about Kiro, a brand-new AI-powered IDE that's reimagining the way developers build software. We dive into how Kiro takes “AI-assisted coding” to a new level through spec-driven development — a process that focuses on defining requirements and collaborating with AI to break projects into clear, manageable tasks.We unpack what sets Kiro apart from tools like Cursor and Copilot, explore its supervised vs. autopilot coding modes, and even talk about how it handles UI design, planning, and complex legacy codebases. Clare and Erik share behind-the-scenes insights on how Kiro was built using Kiro itself, what's coming next for the platform, and how developers can join the early-access community to help shape its future.

Wes and Scott talk with Kyle Cesmat about how Coinbase is writing nearly half its code with AI—while keeping quality and security front and center. They dig into tools like Cursor and Claude Code, agent-driven workflows, code review challenges, and how AI is reshaping developer productivity without replacing developers. Show Notes 00:00 Welcome to Syntax! 03:29 Defining and measuring “quality” at a large company 05:05 How AI-generated code is reviewed and shipped at Coinbase 07:35 A developer's workflow using AI—from ticket to production 10:30 Standard vs. team-specific tools for AI development 12:55 Using MCP servers to power internal AI workflows 14:42 MCP vs. custom agent integrations 17:16 What kinds of code AI is writing at Coinbase 19:48 Which languages and tasks does AI handle best? 21:21 Getting AI to follow existing code conventions greptile 24:36 Brought to you by Sentry.io 25:01 How AI affects hiring, velocity, and developer focus 28:16 AI's role in speeding up code reviews 31:28 The most valuable AI tool in Coinbase's stack 33:48 Managing AI costs and model choices 35:10 Security considerations for using external AI models 37:04 How often Coinbase tunes and adjusts its AI systems 39:26 Using AI to write code vs. embedding AI in customer-facing features 42:29 Kyle's big-picture take on AI as a tool—not a magic bullet Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity 44:33 The future of hiring engineers with their own “backpack” of agents 45:53 Sick Picks + Shameless Plugs Sick Picks Kyle: UltraShelf Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

AI Assisted Coding: Agile Meets AI—How to Code Fast Without Breaking Things, With Llewellyn Falco In this BONUS episode we explore the practice of coding with AI—not just the buzzwords, but the real-world experience. Our guest, Llewellyn Falco, has been learning by doing, exploring the space of AI-assisted coding from the experimental and intuitive—what some call vibecoding—to the more structured world of professional, world-class software engineering. This is a conversation for practitioners who want to understand what's actually happening on the ground when we code with AI. Understanding Vibecoding "You can now program without looking at code. When you're in that space, vibecoding is the word we're using to say, we are programming in a way that does not relate to programming last year." The software development landscape shifted dramatically in early 2025. Vibecoding represents a fundamental change in how we create software—programming without constantly looking at the code itself. This approach removes many traditional limitations around technology, language, and device constraints, allowing developers to move seamlessly between different contexts. However, this power comes with responsibility, as developers can now move so fast that traditional safety practices become even more critical. From Concept to Working App in 15 Minutes "We wrote just a markdown page of ‘here's what we want this to look like'. And then we fed that to Claude Code. And 15 minutes later we had a working app on the phone." At the Agile 2025 conference in Denver, Llewellyn participated in a hackathon focused on helping psychologists prevent child abuse. Working with customer Amanda, a psychologist, and data scientist Rachel, the team identified a critical problem: clinicians weren't using the most effective parenting intervention technique because recording 60 micro-interactions in 5 minutes was too difficult and time-consuming. The team's approach embodied lean startup principles turned up to eleven. After understanding the customer's needs through exposition and conversation, they created a simple markdown specification and used Claude Code to generate a working mobile app in just 15 minutes. When Amanda tested it, she was moved to tears—after 20 years of trying to make progress on this problem, she finally had hope. Over three days, the team released 61 iterations, constantly getting feedback and refining the solution. Iterative Development Still Matters When Coding With AI "We need to see things working to know what to deliver next. That's never going to change. Unless you're building something that's already there." The team's success wasn't about writing a complete requirements document upfront. Instead, they delivered a minimal viable product quickly, tested it with real users, and iterated based on feedback. This agile approach proved essential even—or especially—when working with AI. One breakthrough came when Amanda used the number keypad instead of looking at her phone screen. With her full attention on the training video she'd watched hundreds of times, she noticed an interaction she had missed before. At that moment, the team knew they had created real value, regardless of what additional features they might build. Good Engineering Practices Without Looking at Code "We asked it to do good engineering practices, even though we didn't really understand what it was doing. We just sort of say, okay, yeah, that seems sensible." A critical moment came when the code had grown large and complex. Rather than diving into the code themselves, Llewellyn and his partner Lotta asked the AI to refactor the code to make a panel easy to switch before actually making the change. They verified functionality worked through manual testing but never looked at how the refactoring was implemented. This demonstrates that developers can maintain good practices like refactoring and clean architecture even when working at a higher level of abstraction. Key practices for AI-assisted development include: Don't accept AI's default settings—they're based on popularity, not best practices Prime the AI with the practices you want it to use through configuration files Tell AI to be honest and help you avoid mistakes, not just be agreeable Ask for explanations of architecture and evaluate whether approaches make sense Keep important decisions documented in markdown files that can be referenced later “The documentation is now executable. I can turn it into code” "The documentation is now executable. I can turn it into code. If I had to choose between losing my documentation or losing my code, I would keep the docs. I think I could regenerate the code pretty easily." In this new paradigm, documentation takes on new importance—it becomes the specification from which code can be regenerated. The team created and continuously updated markdown files for project context, architecture, and individual features. This practice allowed them to reset AI context when needed while maintaining continuity of their work. The workflow was bidirectional: sometimes they'd write documentation first and have AI generate code; other times they'd build features iteratively and have AI update the documentation. This approach using tools like Super Whisper for voice-to-text made creating and maintaining documentation effortless. Remove Deterministic Tasks from AI "AI is sloppy. It's inconsistent. Everything that can be deterministic—take it out. AI can write that code. But don't make AI do repetitive tasks." A crucial principle emerged: anything that needs to be consistently and repeatedly correct should be automated with traditional code, not left to AI. The team wrote shell scripts for tasks like auto-incrementing version numbers and created git hooks to ensure these scripts ran automatically. They also automated file creation with dates at the top, removing the need for AI to track temporal information. This principle works both ways—deterministic logic should be removed from underneath AI (via scripts and hooks) and from above AI (via orchestration scripts that call AI in loops with verification steps in between). Anti-Patterns to Avoid "The biggest anti-pattern is you're not committing frequently. I really want the ability to drop my context and revert my changes at a moment's notice." The primary anti-pattern when coding with AI is failing to commit frequently to version control. The ability to quickly drop context, revert changes, and start fresh becomes essential when working at this pace. Getting important decisions into documentation files and code into version control enables rapid experimentation without fear of losing work. Other challenges include knowing when to focus on the right risks. The team had to navigate competing priorities—customers wanted certain UX features, but the team identified data collection and storage as the critical unknown risk that needed solving first. This required diplomatic firmness in prioritizing work based on technical risk assessment rather than just user requests. Essential Tools for AI-Assisted Development "If you are using AI by going to a website, that is not what we are talking about here." To work effectively with AI, developers need agentic tools that can interact with files and run programs, not just chat interfaces. Recommended tools include: Claude Code (CLI for file interaction) Windsurf (VS Code-like interface) Cursor (code editor with AI integration) RooCode (alternative option) Super Whisper (voice-to-text transcription for Mac) Most developers working at this level have disabled safety guards, allowing AI to run programs without asking permission each time. While this carries risks, committing frequently to version control provides the safety net needed for rapid experimentation. The Power of Voice Interaction "Most of the time coding now looks like I'm talking. It's almost like Star Trek—you're talking to the computer and then code shows up." Using voice transcription tools like Super Whisper transformed the development experience. Speaking instead of typing not only increased speed but also changed the nature of communication with AI. When speaking, developers naturally provide more context and explanation than when typing, leading to better results from AI systems. This proved especially valuable in a crowded conference room where Super Whisper could filter out background noise and accurately transcribe the speakers' voices. The tool enabled natural, conversational interaction with development tools. Balancing Speed with Safety Over three days, the team released 61 times without comprehensive automated testing, focusing instead on validating user value through manual testing with the actual customer. However, after the hackathon, Llewellyn added automated testing by creating a test plan document through voice dictation, having AI clean it up and expand it, then generating Puppeteer tests and shell scripts to run them—all in about 40 minutes. This demonstrates a pragmatic approach: when exploring and validating with users, manual testing may suffice; but for ongoing maintenance and confidence, automated tests remain valuable and can be generated efficiently with AI assistance. The Future of Software Development "If you want to make something, there could not be a better time than now." The skills required for effective software development are shifting. Understanding how to assess risk, knowing when to commit code, maintaining good engineering practices, and finding creative solutions within system constraints remain critical. What's changing is that these skills are now applied at a higher level of abstraction, with AI handling much of the detailed implementation. The space is evolving rapidly—practices that work today may need adjustment in months. Developers need to continuously experiment, stay current with new tools and models, and develop instincts for working effectively with AI systems. The fundamentals of agile development—rapid iteration, customer feedback, risk assessment, and incremental delivery—matter more than ever. About Llewellyn Falco Llewellyn is an Agile and XP (Extreme Programming) expert with over two decades of experience in Java, OO design, and technical practices like TDD, refactoring, and continuous delivery. He specializes in coaching, teaching, and transforming legacy code through clean code, pair programming, and mob programming. You can link with Llewellyn Falco on LinkedIn.

In this episode, we explore the vast potential of AI technology and its slow adoption in legacy industries.Together with Meg Faibisch Kuhn, a former CPG marketer turned self-taught AI developer, we delve into how AI can revolutionize domains often overlooked by tech giants.From training farmers to aid food entrepreneurs, Meg has transformed her career by building with tools like Lovable and Cursor.We discuss her journey from marketing to coding, her innovative AI implementations for small businesses, and the significance of democratizing AI.Additionally, Meg introduces her initiative, Women Building with AI, aimed at encouraging women to enter the AI space.Tune in to discover how understanding domain expertise can make anyone an invaluable AI pioneer.--Key Moments:01:16 The Journey of Self-Teaching AI02:02 Leveraging AI for Marketing and Operations05:10 Using AI for Market Research and Problem Solving08:15 Automation and AI in Small Businesses13:05 Bridging the AI Knowledge Gap16:14 Women Building with AI: Empowering Non-Technical Creators23:16 Exploring AI Tools and Platforms28:47 Real-World AI Applications and Success Stories--Key Links:Idea to App with AIMeg FaibischSpread Aioli on YouTubeSpread Aioli on TikTokConnect with Meg on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you'll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

In this episode of Crazy Wisdom, host Stewart Alsop talks with Jared Zoneraich, CEO and co-founder of PromptLayer, about how AI is reshaping the craft of software building. The conversation covers PromptLayer's role as an AI engineering workbench, the evolving art of prompting and evals, the tension between implicit and explicit knowledge, and how probabilistic systems are changing what it means to “code.” Stewart and Jared also explore vibe coding, AI reasoning, the black-box nature of large models, and what accelerationism means in today's fast-moving AI culture. You can find Jared on X @imjaredz and learn more or sign up for PromptLayer at PromptLayer.com.Check out this GPT we trained on the conversationTimestamps00:00 – Stewart Alsop opens with Jared Zoneraich, who explains PromptLayer as an AI engineering workbench and discusses reasoning, prompting, and Codex.05:00 – They explore implicit vs. explicit knowledge, how subject matter experts shape prompts, and why evals matter for scaling AI workflows.10:00 – Jared explains eval methodologies, backtesting, hallucination checks, and the difference between rigorous testing and iterative sprint-based prompting.15:00 – Discussion turns to observability, debugging, and the shift from deterministic to probabilistic systems, highlighting skill issues in prompting.20:00 – Jared introduces “LM idioms,” vibe coding, and context versus content—how syntax, tone, and vibe shape AI reasoning.25:00 – They dive into vibe coding as a company practice, cloud code automation, and prompt versioning for building scalable AI infrastructure.30:00 – Stewart reflects on coding through meditation, architecture planning, and how tools like Cursor and Claude Code are shaping AGI development.35:00 – Conversation expands into AI's cultural effects, optimism versus doom, and critical thinking in the age of AI companions.40:00 – They discuss philosophy, history, social fragmentation, and the possible decline of social media and liberal democracy.45:00 – Jared predicts a fragmented but resilient future shaped by agents and decentralized media.50:00 – Closing thoughts on AI-driven markets, polytheistic model ecosystems, and where innovation will thrive next.Key InsightsPromptLayer as AI Infrastructure – Jared Zoneraich presents PromptLayer as an AI engineering workbench—a platform designed for builders, not researchers. It provides tools for prompt versioning, evaluation, and observability so that teams can treat AI workflows with the same rigor as traditional software engineering while keeping flexibility for creative, probabilistic systems.Implicit vs. Explicit Knowledge – The conversation highlights a critical divide between what AI can learn (explicit knowledge) and what remains uniquely human (implicit understanding or “taste”). Jared explains that subject matter experts act as the bridge, embedding human nuance into prompts and workflows that LLMs alone can't replicate.Evals and Backtesting – Rigorous evaluation is essential for maintaining AI product quality. Jared explains that evals serve as sanity checks and regression tests, ensuring that new prompts don't degrade performance. He describes two modes of testing: formal, repeatable evals and more experimental sprint-based iterations used to solve specific production issues.Deterministic vs. Probabilistic Thinking – Jared contrasts the old, deterministic world of coding—predictable input-output logic—with the new probabilistic world of LLMs, where results vary and control lies in testing inputs rather than debugging outputs. This shift demands a new mindset: builders must embrace uncertainty instead of trying to eliminate it.The Rise of Vibe Coding – Stewart and Jared explore vibe coding as a cultural and practical movement. It emphasizes creativity, intuition, and context-awareness over strict syntax. Tools like Claude Code, Codex, and Cursor let engineers and non-engineers alike “feel” their way through building, merging programming with design thinking.AI Culture and Human Adaptation – Jared predicts that AI will both empower and endanger human cognition. He warns of overreliance on LLMs for decision-making and the coming wave of “AI psychosis,” yet remains optimistic that humans will adapt, using AI to amplify rather than atrophy critical thinking.A Fragmented but Resilient Future – The episode closes with reflections on the social and political consequences of AI. Jared foresees the decline of centralized social media and the rise of fragmented digital cultures mediated by agents. Despite risks of isolation, he remains confident that optimism, adaptability, and pluralism will define the next AI era.

Listen now: Spotify, Apple and YouTubeIf you've ever considered turning your expertise into a scalable product—or wondered what it actually takes to build and sell a useful AI copilot—this episode is for you.In this episode, Ben shares the full behind-the-scenes story of how he packaged his product management knowledge into a sellable, high-leverage AI Practice Copilot. From initial validation to prototyping in Claude to vibe coding in Cursor and shipping using various AI tools, he walks through every decision point in the journey. You'll learn how to pick the right use case, what tools to use at each step, and the key insights that helped him turn his ideas into a real product in the market.Whether you're a founder, PM, coach, or subject matter expert, this conversation is packed with actionable tactics to help you create, position, and monetize your own AI-native product.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Albert Cheng has led growth at three of the world's most successful consumer subscription companies: Duolingo, Grammarly, and Chess.com. A former Google product manager (and serious pianist!), Albert developed a unique approach to finding and scaling growth opportunities through rapid experimentation and deep user psychology. His teams run 1,000 experiments a year, discovering counterintuitive insights that have driven tens of millions in revenue.What you'll learn:1. How to use the explore-exploit framework to find new growth opportunities2. How showing premium features to free users doubled Grammarly's upgrades to paid plans3. What good retention looks like for a consumer subscription app4. Why resurrected users drive 80% of mature product growth5. Why “reverse trials” work better than time-based trials6. The three pillars of successful gamification: core loop, metagame, and profile —Brought to you by:Vanta—Automate compliance. Simplify security.Jira Product Discovery—Confidence to build the right thingMiro—A collaborative visual platform where your best work comes to life—Where to find Albert Cheng:• X: https://x.com/albertc248• LinkedIn: https://www.linkedin.com/in/albertcheng1/• Chess.com: https://www.chess.com/member/Goniners—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—Referenced:• How Duolingo reignited user growth: https://www.lennysnewsletter.com/p/how-duolingo-reignited-user-growth• Inside ChatGPT: The fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Explore vs. Exploit: https://brianbalfour.com/quick-takes/explore-vs-exploit• Grammarly: https://www.grammarly.com/• Reforge: https://www.reforge.com/• Chess.com: https://www.chess.com/• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder & CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Figma: https://www.figma.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Claude Code: https://www.anthropic.com/claude-code• GitHub Copilot: https://github.com/features/copilot• Noam Lovinsky on LinkedIn: https://www.linkedin.com/in/noaml/• The happiness and pain of product management | Noam Lovinsky (Grammarly, Facebook, YouTube, Thumbtack): https://www.lennysnewsletter.com/p/the-happiness-and-pain-of-product• Kyla Siedband on LinkedIn: https://www.linkedin.com/in/kylasiedband/• The Duolingo handbook: https://blog.duolingo.com/handbook/• Lenny's post on X about the Duolingo handbook: https://x.com/lennysan/status/1889008405584683091• The rituals of great teams | Shishir Mehrotra of Coda, YouTube, Microsoft: https://www.lennysnewsletter.com/p/the-rituals-of-great-teams-shishir• Duolingo on TikTok: https://www.tiktok.com/@duolingo• Kasparov vs. Deep Blue | The Match That Changed History: https://www.chess.com/article/view/deep-blue-kasparov-chess• Magnus Carlsen: https://en.wikipedia.org/wiki/Magnus_Carlsen• Elo rating system: https://www.chess.com/terms/elo-rating-chess• Stockfish: https://en.wikipedia.org/wiki/Stockfish_(chess)• AlphaGo on Prime Video: https://www.primevideo.com/detail/AlphaGo/0KNQHKKDAOE8OCYKQS9WSSDYN0• Statsig: https://www.statsig.com/• The State of Product in 2026: Navigating Change, Challenge, and Opportunity: https://www.atlassian.com/blog/announcements/state-of-product-2026• Erik Allebest on LinkedIn: https://www.linkedin.com/in/erikallebest/• Daniel Rensch on X: https://x.com/danielrensch• Chariot: https://en.wikipedia.org/wiki/Chariot_(company)• San Francisco 49ers: https://www.49ers.com/• Breville Barista Express: https://www.breville.com/en-us/product/bes870—Recommended books:• Snuggle Puppy!: A Little Love Song: https://www.amazon.com/Snuggle-Puppy-Little-Boynton-Board/dp/1665924985• Ogilvy on Advertising: https://www.amazon.com/Ogilvy-Advertising-David/dp/039472903X• Dark Squares: How Chess Saved My Life: https://www.amazon.com/Dark-Squares-Chess-Saved-Life/dp/1541703286—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

"Daqui a uns anos, 'você não precisa mais aprender a programar' vai ser um dos piores conselhos que você pode dar para carreira de alguém" - Andrew NG No sétimo episódio do Hipsters.Talks, PAULO SILVEIRA , CVO do Grupo Alun, conversa com GUILHERME SILVEIRA , cofundador e CIO da Alura, sobre vibe coding, automação e o futuro da programação com inteligência artificial. Uma conversa sobre como IA está transformando o desenvolvimento de software e por que saber programar continua sendo essencial. Prepare-se para um episódio cheio de conhecimento e inspiração! Espero que aproveitem :) Sinta-se à vontade para compartilhar suas perguntas e comentários. Vamos adorar conversar com vocês!

Welcome to Dev Game Club, where this week we add to our series on Portal by interviewing Erik Wolpaw. We talk about his pre-Portal career, burnout, and success on small teams and large. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Podcast breakdown: 1:05 Interview 1:12:10 Break 1:12:41 Outro Issues covered: Valve credits, early Magic: The Gathering, growing up in the shadow of James Garfield's mausoleum, publishing in magazines, piracy early in the industry, getting in, getting sick, constantly shipping and crunch, breaking down, changing culture, having ownership vs not, the exhilaration and camaraderie at the end, drowning in game dev, starting with little films, getting in with the Portal kids, self-motivation at Valve, being on multiple projects, enhancing/amplifying the design, a cohesive experience, puzzle fatigue, gag bumpers, giving the environment a voice, not having to manage a big art team, a very small team, having the pressure off, not even knowing what you have, entertaining yourselves, the benefits of low expectations, having more pressure on the sequel, loving to leave a job, endings coming late, not getting it, thinking things will be bad before they turn out to be good, a notorious imbecile, the biggest "I told you so" moment, a good day has cake, not returning to the well, a Portal game without portals?, just jumping in and making the thing, writing for yourself and your interests, sensing creative investment, good vs crappy games, wanting to make Portal 3, wanting to join the industry, skipping right past the AI conversation, being open about the hard stuff, art: the optional stuff.  Games, people, and influences mentioned or discussed: Atari 400, Old Man Murray, Chet Faliszek, Tim Schafer, Double Fine, Psychonauts (series), Valve, Team Fortress, Left 4 Dead, Artifact, Half-Life (series), Aperture Desk Job, Richard Garfield, Magic: The Gathering, James Garfield, Scramble, Defender, Ballblazer, Rescue on Fractalus, Microsoft, Gabe Newell, Platinum Games, Source FilmMaker, The Orange Box, Mark Laidlaw, Jay Pinkerton, Narbacular Drop, Kim Swift, Fallout, Tim Cain, Leonard Boyarsky, Republic Commando, Daron Stinnett, Jonathan Coulton, Ellen McLain, The Crab Cracker, Severance, Office Space, Garrett Rickey, Realm Lovejoy, Josh Weier, Dave Grossman, Another Crab's Treasure, Peak, Cursor, Spelunky, Kirk Hamilton, Aaron Evers, Mark Garcia.  Next time: TBA! Twitch: timlongojr and twinsunscorp  YouTube Discord  DevGameClub@gmail.com

In this episode, I sit down with Saket Saurabh (CEO of Nexla) to discuss the fundamental shift happening in the AI landscape. The conversation is moving beyond the race to build the biggest foundational models and towards a new battleground: context. We explore what it means to be a "model company" versus a "context company" and how this changes everything for data strategy and enterprise AI. Join us as we cover:Model vs. Context Companies: The emerging divide between companies building models (like OpenAI) and those whose advantage lies in their unique data and integrations.The Limits of Current Models: Why we might be hitting an asymptote with the current transformer architecture for solving complex, reliable business processes. "Context Engineering": What this term really means, from RAG to stitching together tools, data, and memory to feed AI systems. The Resurgence of Knowledge Graphs: Why graph databases are becoming critical for providing deterministic, reliable information to probabilistic AI models, moving beyond simple vector similarity. AI's Impact on Tooling: How tools like Lovable and Cursor are changing workflows for prototyping and coding, and the risk of creating the "-10x engineer." The Future of Data Engineering: How the field is expanding as AI becomes the primary consumer of data, requiring a new focus on architecture, semantics, and managing complexity at scale.

No Shoes At Work Is The New TrendA trend of workers going barefoot in the office has spread across Silicon Valley startups, sparking a debate as to whether shoeless workplaces could drive creativity or create conflict. Cursor, an AI coding company valued at nearly $10billion, as one of several firms adopting shoeless policies.  Some commenters saw it as aspirational, one calling it a “bucket list” workplace. Others mocked the idea with sneezing emojis or worried about hygiene. We put up a poll, I clocked the "barf" emoji.Cozy Cardio Trend                                                                                                                        Imagine swapping sweaty gym vibes for fuzzy socks, candles, and your favorite show while strolling on a walking pad — that's cozy cardio, the revived TikTok-born fitness trend that blends light exercise with maximum comfort.Here's how to get started:                                                                                                                                Gather cozy basics like candles, soft lighting, and a favorite beverage                                                Choose a simple cardio option: stationary bike, treadmill, or elliptical                                       Set the mood with a movie, TV show, book, or music you enjoy                                                            Go at your own pace at a time of day that feels rightCorey's Neck UpdateI've been dealing with crazy pain since I tripped over my German Shepherd's dog hammock. It was dark and the hammock was put together with metal bars. My neck landed on the metal bar. I have been seeing a chiropractor, but the pain just got worse and worse. I had an MRI and it showed stenosis, However, that wasn't the culprit. The nerves were already somewhat arthritic, but the fall exacerbated the situation and my nerves are in the seventh circle of hell. This is where "ablation" comes in. It's basically burning the nerve endings...which could keep pain at bay for up to 16 months. They do grow back but that is better than all of the pain killers I am taking. Thank god I am not pregnant; I'm keeping Tylenol in business. #autismSecond Date UpdateAlex said he met Marissa online and their rooftop dinner felt magical. He booked a table with a view, ordered a bottle of champagne, and said their conversation flowed all night. He figured they were lining up a second date for sure. She ghosted, and he wanted to know why.

Listen now: Spotify, Apple and YouTubeWhat does it mean to truly be an “AI-native” company? And how are product roles evolving when PMs are expected to both execute faster and make sharper strategic decisions?In this episode of Supra Insider, Marc and Ben sit down with Adam Fishman—host of the Startup Dad podcast and longtime product leader and advisor —to unpack the key themes from Reforge's recent AI Product Summit in San Francisco. Adam shares insights from conversations with leaders at OpenAI, Anthropic, Shopify, Zapier, and LinkedIn on how organizations are tackling AI adoption, redefining PM expectations, and navigating cultural change.The discussion ranges from Zapier's live prototyping interviews for new hires, to LinkedIn's shift from “product managers” to “product builders,” to the tension PMs face between increased executional leverage and the need for sharper strategic taste.Whether you're a PM figuring out how to stay relevant, a product leader navigating culture change, or just curious how AI is transforming product organizations, this episode is packed with lessons you can apply today.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

It's another edition of Tech Talk with Steve Thomson and Doug Swinhart! Topics explored: What to do if you don't want to move on from Windows 10 What the American market doesn't get access to Setting up accounts securely Avoiding password webs Top notch password managers Avoiding scams Checking sourcing when downloading apps Cellular networks in your appliances

In this episode, Conor and Bryce chat with Sean Parent about AI and Cursor!Link to Episode 253 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)SocialsADSP: The Podcast: TwitterConor Hoekstra: Twitter | BlueSky | MastodonBryce Adelstein Lelbach: TwitterAbout the Guest:Sean Parent is a senior principal scientist and software architect managing Adobe's Software Technology Lab. Sean first joined Adobe in 1993 working on Photoshop and is one of the creators of Photoshop Mobile, Lightroom Mobile, and Lightroom Web. In 2009 Sean spent a year at Google working on Chrome OS before returning to Adobe. From 1988 through 1993 Sean worked at Apple, where he was part of the system software team that developed the technologies allowing Apple's successful transition to PowerPC.Show NotesDate Recorded: 2025-08-21Date Released: 2025-09-26C++ Under the SeaBetter codeAdobe ASL Adam & Eve ArchitectureAdobe Software Technology LabASL LibrariesRust Programming LanguageIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

Hamel Husain and Shreya Shankar teach the world's most popular course on AI evals and have trained over 2,000 PMs and engineers (including many teams at OpenAI and Anthropic). In this conversation, they demystify the process of developing effective evals, walk through real examples, and share practical techniques that'll help you improve your AI product.What you'll learn:1. WTF evals are2. Why they've become the most important new skill for AI product builders3. A step-by-step walkthrough of how to create an effective eval4. A deep dive into error analysis, open coding, and axial coding5. Code-based evals vs. LLM-as-judge6. The most common pitfalls and how to avoid them7. Practical tips for implementing evals with minimal time investment (30 minutes per week after initial setup)8. Insight into the debate between “vibes” and systematic evals—Brought to you by:Fin—The #1 AI agent for customer serviceDscout—The UX platform to capture insights at every stage: from ideation to productionMercury—The art of simplified finances—Where to find Shreya Shankar• X: https://x.com/sh_reya• LinkedIn: https://www.linkedin.com/in/shrshnk/• Website: https://www.sh-reya.com/• Maven course: https://bit.ly/4myp27m—Where to find Hamel Husain• X: https://x.com/HamelHusain• LinkedIn: https://www.linkedin.com/in/hamelhusain/• Website: https://hamel.dev/• Maven course: https://bit.ly/4myp27m—In this episode, we cover:(00:00) Introduction to Hamel and Shreya(04:57) What are evals?(09:56) Demo: Examining real traces from a property management AI assistant(16:51) Writing notes on errors(23:54) Why LLMs can't replace humans in the initial error analysis(25:16) The concept of a “benevolent dictator” in the eval process(28:07) Theoretical saturation: when to stop(31:39) Using axial codes to help categorize and synthesize error notes(44:39) The results(46:06) Building an LLM-as-judge to evaluate specific failure modes(48:31) The difference between code-based evals and LLM-as-judge(52:10) Example: LLM-as-judge(54:45) Testing your LLM judge against human judgment(01:00:51) Why evals are the new PRDs for AI products(01:05:09) How many evals you actually need(01:07:41) What comes after evals(01:09:57) The great evals debate(1:15:15) Why dogfooding isn't enough for most AI products(01:18:23) OpenAI's Statsig acquisition(1:23:02) The Claude Code controversy and the importance of context(01:24:13) Common misconceptions around evals(1:22:28) Tips and tricks for implementing evals effectively(1:30:37) The time investment(1:33:38) Overview of their comprehensive evals course(1:37:57) Lightning round and final thoughts—LLM Log Open Codes Analysis Prompt:Please analyze the following CSV file. There is a metadata field which has an nested field called z_note that contains open codes for analysis of LLM logs that we are conducting. Please extract all of the different open codes. From the _note field, propose 5-6 categories that we can create axial codes from.—Referenced:• Building eval systems that improve your AI product: https://www.lennysnewsletter.com/p/building-eval-systems-that-improve• Mercor: https://mercor.com/• Brendan Foody on LinkedIn: https://www.linkedin.com/in/brendan-foody-2995ab10b• Nurture Boss: https://nurtureboss.io/• Braintrust: https://www.braintrust.dev/• Andrew Ng on X: https://x.com/andrewyng• Carrying Out Error Analysis: https://www.youtube.com/watch?v=JoAxZsdw_3w• Julius AI: https://julius.ai/• Brendan Foody on X—“evals are the new PRDs”: https://x.com/BrendanFoody/status/1939764763485171948• Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences: https://dl.acm.org/doi/abs/10.1145/3654777.3676450• Lenny's post on X about evals: https://x.com/lennysan/status/1909636749103599729• Statsig: https://statsig.com/• Claude Code: https://www.anthropic.com/claude-code• Cursor: https://cursor.com/• Occam's razor: https://en.wikipedia.org/wiki/Occam%27s_razor• Frozen: https://www.imdb.com/title/tt2294629/• The Wire on HBO: https://en.wikipedia.org/wiki/The_Wire—Recommended books:• Pachinko: https://www.amazon.com/Pachinko-National-Book-Award-Finalist/dp/1455563935• Apple in China: The Capture of the World's Greatest Company: https://www.amazon.com/Apple-China-Capture-Greatest-Company/dp/1668053373/• Machine Learning: https://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/1259096955• Artificial Intelligence: A Modern Approach: https://www.amazon.com/Artificial-Intelligence-Modern-Approach-Global/dp/1292401133/Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com

Jake and Michael dive into a wide range of topics, from coding practices in Laravel to the evolving role of AI in software development. They kick things off with daylight savings and weekend updates before moving into technical discussions on authorization, policies, and form requests in Laravel.The conversation expands to cover recent changes in middleware and controller patterns, contextual attributes in the service container, and practical approaches to request validation.Later, the focus shifts toward AI tools like Claude, Grok, and Cursor, including their strengths, frustrations, and industry-wide adoption pressures. We reflect on the uneasy balance between developer control and AI assistance, wrapping up with thoughts on productivity, value, and what it means to let machines write code.Show linksLawn HubArcade 1UpRetroPieMortal Kombat cabinetNuno's authorization on form requestsContextual AttributesGrok Code Fast 1

…and what if it could help us invent new instruments?In this pod, I talk about how musicians can use “vibe coding” tools like Cursor (but how learning a little coding can go a long way)! I think there's something here. I think it's about to get a lot easier. And I invite you to try (and fail) with me. We might be able to make something truly new once again.For 30% off your first year with DistroKid to share your music with the world click ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠DistroKid.com/vip/lovemusicmore⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Want to hear my music? For all things links visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ScoobertDoobert.pizza⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to this pod's blog on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Substack⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to receive deeper dives on the regular

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubRead the full transcription of the interview hereAshley Peacock - Staff Software Engineer at Simply Business & Author of "Serverless Apps on Cloudflare" & "Creating Software with Modern Diagramming Techniques"Ricky Robinett - VP Developer Relations & Community at CloudflareRESOURCESAshleyhttps://twitter.com/_ashleypeacockhttps://www.linkedin.com/in/ashley-peacock-133749120https://medium.com/@ashley-peacockhttps://github.com/apeacock1991Rickyhttps://twitter.com/rickyrobinetthttps://www.linkedin.com/in/rickyrobinetthttps://about.me/rickyrobinetthttps://github.com/rickyrobinettLinkshttps://www.cursor.comDESCRIPTIONRicky Robinett interviews Ashley Peacock, author of "Serverless Apps on Cloudflare", about the developer platform side of Cloudflare. Ashley explains how Cloudflare has evolved from primarily a security company to a full-fledged developer platform with global deployment capabilities, databases, caching solutions, and AI tools.They discuss the unique aspects of Cloudflare's architecture, including global deployment by default, bindings that simplify resource connections without requiring secrets management, and excellent local development experience.Ashley highlights several Cloudflare products including Workers (serverless functions), D1 (SQLite database), KV (key-value store), R2 (object storage), Durable Objects, and AI offerings like Workers AI and AI Gateway. The conversation covers developer experience, using AI assistants for coding, and the benefits of Cloudflare's approach to simplifying cloud development.RECOMMENDED BOOKSAshley Peacock • Serverless Apps on CloudflareAshley Peacock • Creating Software with Modern Diagramming TechniquesJeroen Mulder • Multi-Cloud Strategy for Cloud ArchitectsCrossing BordersCrossing Borders is a podcast by Neema, a cross border payments platform that...Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Check out my newsletter at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://TKOPOD.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and join my new community at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://TKOwners.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠━Beehiiv is the newsletter platform I've used for over a year and a half because their data shows you exactly what's working. Get 30% off three months at ⁠⁠⁠beehiiv.com/chris⁠━I sat down with Omar Choudhry to dive into how AI is changing the way we build businesses. Omar walked me through how he uses vibe coding with Cursor and Claude to create directory sites that actually rank on Google, pull thousands of visits a month, and generate real revenue. We talked about why directories are still powerful in the AI era, how programmatic SEO can unlock massive opportunities, and why the best way to learn is to just start building.If you want to try this yourself, Omar built 5 Day Sprint, a framework that gives you a one-liner setup so you can launch projects without needing to be technical: 5daysprint.com?via=uhbvrr. You can also join his Skool community to learn directly from Omar and connect with other builders: skool.com/5-day-sprint/about?ref=6d6756feb6d84ec6a8cf88650ace7240.Follow Omar here:X: x.com/OmarChoudhryInstagram: instagram.com/omarchoudhryEnjoy! ---Watch this on YouTube instead here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tkopod.co/p-yt⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ask me a question on or off the show here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://tkopod.co/p-ask⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Learn more about me: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://tkopod.co/p-cjk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Learn about my company: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://tkopod.co/p-cof⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow me on Twitter here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://tkopod.co/p-x⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free weekly business ideas newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://tkopod.co/p-nl⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Share this podcast: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://tkopod.co/p-all⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Scrape small business data: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://tkopod.co/p-os⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠---

Listen now: Spotify, Apple and YouTubeWhat if interviewing for a PM job at Stripe, Uber, or Figma didn't feel like walking into the unknown?In this episode of Supra Insider, Marc and Ben take you behind the scenes of building Insider Loops—a new set of interview prep guides designed to give candidates the inside track at some of tech's most competitive companies. They break down why they saw the opportunity, how they rapidly prototyped and shipped their first guides, and what they learned from dozens of conversations with PMs and hiring managers.From uncovering hidden disconnects between great PMs and great interviewees, to the surprising differences in how Uber, Figma, and Stripe run their loops, this episode blends entrepreneurship, product thinking, and tactical job-search insights. Whether you're preparing for your next role or just curious about how Marc and Ben collaborated async to launch a new product, you'll walk away with practical takeaways and fresh perspective.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Tried agentic coding while building a Twitch analytics feature for Twitch Sprout and... I hated it. It bloated the code, ignored library features, and turned me into a spec-writing code reviewer instead of a dev. I also shared where AI has helped as well.---------------------------------------------------

Julie Zhuo is the former VP and Head of Design at Facebook (now Meta), author of the bestselling book The Making of a Manager, and co-founder of Sundial, an AI-powered data analysis company. Also, my first-ever podcast guest over 3 years ago!In our conversation, we discuss:1. The three core manager skills that translate directly to managing AI agents2. How her team uses AI to learn new skills 10x faster3. The “diagnose with data, treat with design” framework for balancing gut and data4. Why hypergrowth AI companies have terrible data infrastructure (and why it doesn't matter)5. How to give feedback that actually lands—including Julie's exact script for difficult conversations6. What Julie's teaching her kids about an AI future (hint: it's not coding or STEM)—Brought to you by:Mercury — The art of simplified financesDX — The developer intelligence platform designed by leading researchersPostHog—How developers build successful products—Transcript: https://www.lennysnewsletter.com/p/from-managing-people-to-managing-ai-julie-zhuo—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/172723725/my-biggest-takeaways-from-this-conversation—Where to find Julie Zhuo:• X: https://x.com/joulee• LinkedIn: https://www.linkedin.com/in/julie-zhuo/• Website: https://www.juliezhuo.com/• Newsletter: https://lg.substack.com/• Sundial: https://sundial.so/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Welcome back, Julie!(05:18) The success of The Making of a Manager(08:41) Why AI will make everyone a manager(11:38) The future of management roles(14:00) Empowering teams with AI(21:30) Specific roles being accelerated by AI(26:53) Data analysis in AI companies(32:02) The role of data in design(37:21) The evolving role of managers in the AI era(40:22) Embracing change and uncertainty(42:14) Timeless lessons for managers(49:03) Balancing strengths and weaknesses(57:49) Building a feedback culture(01:05:33) Creating win-win situations(01:09:27) Being aware of your own energy and conviction(01:12:12) Navigating disagreements with higher-ups(01:15:57) AI corner(01:20:08) Contrarian corner(01:23:14) Lightning round and final thoughts—Referenced:• Julie Zhuo on accelerating your career, impostor syndrome, writing, building product sense, using intuition vs. data, hiring designers, and moving into management: https://www.lennysnewsletter.com/p/episode-2-julie-zhuo• Waymo: https://waymo.com/• How we restructured Airtable's entire org for AI | Howie Liu (co-founder and CEO): https://www.lennysnewsletter.com/p/how-we-restructured-airtables-entire-org-for-ai• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Inside ChatGPT: The fastest growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• The Magic Loop: https://www.lennysnewsletter.com/p/the-magic-loop• Dunning-Kruger effect: https://en.wikipedia.org/wiki/Dunning%E2%80%93Kruger_effect• Eric Antonow on LinkedIn: https://www.linkedin.com/in/antonow/• Methaphone: https://methaphone.com/• Replit: https://replit.com/• “Baby” by Justin Bieber on Spotify: https://open.spotify.com/track/6epn3r7S14KUqlReYr77hA• Kingdom Rush: https://www.kingdomrush.com/• Dr. Becky on TikTok: https://www.tiktok.com/@drbeckyatgoodinside• Emily Oster on TikTok: https://www.tiktok.com/@profemilyoster• La La Land on Netflix: https://www.netflix.com/title/80095365• Granola: https://www.granola.ai/• Matic robots: https://maticrobots.com/• Limitless pendant: https://www.limitless.ai/• How I AI: https://www.youtube.com/@howiaipodcast—Recommended books:• The Making of a Manager: What to Do when Everyone Looks to You: https://www.amazon.com/Making-Manager-What-Everyone-Looks/dp/0525540423• High Output Management: https://www.amazon.com/High-Output-Management-Andrew-Grove/dp/0679762884/• Zen and the Art of Motorcycle Maintenance: An Inquiry into Values: https://www.amazon.com/Zen-Art-Motorcycle-Maintenance-Inquiry/dp/0061673730• Conscious Business: How to Build Value Through Values: https://www.amazon.com/Conscious-Business-Build-through-Values/dp/1622032020• Good Inside: A Practical Guide to Resilient Parenting Prioritizing Connection Over Correction: https://www.amazon.com/Good-Inside-Guide-Becoming-Parent/dp/0063159481/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Cursor, the AI code editor, recently integrated with Linear, a project management tool, enabling developers to assign tasks directly to Cursor's background coding agent within Linear. The collaboration felt natural, as Cursor already used Linear internally. Linear's new agent-specific API played a key role in enabling this integration, providing agents like Cursor with context-aware sessions to interact efficiently with the platform.Developers can now offload tasks such as fixing issues, updating documentation, or managing dependencies to the Cursor agent. However, both Linear's Tom Moor and Cursor's Andrew Milich emphasized the importance of giving agents clear, thoughtful input. Simply assigning vague tasks like “@cursor, fix this” isn't effective—developers still need to guide the agent with relevant context, such as links to similar pull requests.Milich and Moor also discussed the growing value and adoption of autonomous agents, and hinted at a future where more companies build agent-specific APIs to support these tools. The full interview is available via podcast or YouTube.Learn more from The New Stack about the latest in AI and development in Cursor AI and Linear:  Install Cursor and Learn Programming With AI HelpUsing Cursor AI as Part of Your Development WorkflowAnti-Agile Project Tracker Linear the Latest to Take on JiraJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Alexandra Sunderland (VP of Engineering at Fellow) pulls back the curtain on how she runs engineering with agentic workflows that actually move the needle: background coding agents in Cursor that fix bugs while she's in meetings, Claude + MCPs to query Linear and auto-generate reports in seconds, and Zapier pipelines that turn meeting transcripts into daily briefs, real-time project risk pings, sales insights, and even 1:1 growth trackers. The theme: make conversations computable, specialize agents narrowly, and wire every tool together so ops happen while you sleep.Timestamps1:11 — Background: 13+ yrs with Aydin; author of Remote Engineering Management.2:13 — What is an “agent”? Alexandra's practical definition (automation + LLM).3:39 — Why specialized agents beat general ones (Sept 2025 reality check).5:25 — Cursor background agents via Slack VIP notifications—coding while she's away.8:00 — Hackathon: hand-built dev productivity dashboard vs. Claude + Linear MCP.10:38 — Why use Claude here instead of Cursor: downloadable PDFs & exploratory insights.13:03 — Interface shift: logging into Linear/GitHub less; notify via Slack instead.14:21 — Plan: live workflows that leaders can copy.15:31 — Workflow #1: Daily Brief in Zapier (9:00 a.m. trigger → transcripts → CoS-style digest).18:00 — Slack example of the generated daily brief.20:22 — Workflow #2: Project Meeting Insights—real-time blockers & cross-team risks.22:00 — Prompting style (“best VP of Eng in the world”) and why it helps.26:40 — Idea: an “Alexandra agent” that drafts her responses.27:59 — Workflow #3: Sales call mining → bug/feature requests for Eng.29:14 — Next step: Cursor agents created via API—fixes ready for human review minutes after calls.30:23 — Rolling Cursor to product & success; non-engineers leverage code context.31:16 — Auto-drafting help center docs with Cursor that can browse.32:34 — Future: docs auto-update—or vanish into on-demand LLM answers.34:52 — Workflow #4 (WIP): 1:1 growth tracker—extract coaching, strengths, feedback into a living doc.37:41 — Sales coaching automation: enforce key phrases/objection handling.38:10 — Playbook: start with simple “yesterday's conversations → insights,” then stack.39:24 — Next 12 months: tools connecting to each other, patterns across datasets.Tools & Technologies Mentioned (with quick notes)Cursor — AI-powered code editor with background agents (cloud-run) and Slack integration for async coding and fixes.Cursor Background Agents API — Programmatically spin up agents to implement bug fixes/features for later human review.Slack (VIP Notifications) — Marking the Cursor app as VIP ensures agent updates punch through Do Not Disturb.Claude — LLM used with MCPs to query data sources (e.g., Linear), generate PDFs, surface trends, and build ad-hoc reports.MCP (Model Context Protocol) — Standard to connect LLMs to tools/data (e.g., Linear) for live, permissioned operations.Linear — Issue/project tracker; source for ticket analytics (resolution rates, triage time, stage durations).Zapier — No-code automations; schedules, filters, formats, makes API calls, and runs AI by Zapier LLM steps.Fellow.ai — AI meeting assistant capturing summaries, actions, decisions; acts as an “AI chief of staff” across meetings.GitHub — Code hosting referenced as a UI Alexandra now visits less thanks to agentic workflows.Google Docs / Notion / Wiki — Destinations for auto-appending 1:1 growth notes and team principles.APIs (custom + vendor) — Zapier “Webhooks by Zapier”/custom API calls used to fetch transcripts and trigger agents.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

This week on Riding Unicorns, we're joined by Manny Medina, the visionary founder behind Outreach — the $4B sales engagement unicorn — and now co-founder & CEO of Paid.ai, a startup pioneering how AI agents get priced, paid, and scaled.We dive into Manny's remarkable journey from zero to $250M+ ARR with Outreach, the gritty early days of selling door-to-door with no cash, and how he turned that experience into a masterclass in category creation. Now, with Paid.ai, Manny is laser-focused on building the financial stack that will power the next wave of autonomous agents — and helping AI-native businesses build real, durable revenue.

I chat with Craig Hewitt , founder of Castos. We talk about his journey from running a podcast editing agency to building a SaaS hosting platform. We cover the challenges of bootstrapping, raising funds, and going international. Craig shares how he uses distribution channels, how AI affects small teams, and what it's like to scale in a niche market. We end with advice for indie founders on picking business models, taking risks, and keeping up with tech changes.My twitter: https://x.com/wbetiagoAbout Craig HewittTwitter: https://x.com/TheCraigHewittPodcast: https://roguestartups.com/Timestamps by PodsqueezeGreg's Background and Starting Podcast Motor (00:01:02)Getting First Clients and Sales Approach (00:06:29)US vs. Europe: Customer Acquisition Differences (00:08:25)Localization and Multi-Currency Pricing (00:13:18)Transition from Agency to SaaS: Castus (00:16:30)Distribution Channels and Product Positioning (00:19:06)Impact of AI on Team and Product Development (00:25:28)Bootstrapping vs. Raising Money: Tiny Seed Experience (00:30:25)Agency vs. SaaS: Which to Start First? (00:31:33)Tiny Seed Accelerator: Value and Learnings (00:35:55)Distribution, Churn, and Growth Challenges (00:38:56)Balancing Family, Agency, SaaS, and Accelerator (00:41:05)Using Investment to Scale and the Realities of Raising Money (00:44:05)Investor Returns and Exit Expectations (00:51:19)Podcasting Market Realities and Churn (00:54:10)Pricing, Retention, and Content Marketing Plateau (00:57:23)What to Do When Growth Plateaus (01:00:59)AI's Impact on SaaS and the Economy (01:10:21)US vs. Europe: Entrepreneurial Mindset Differences (01:14:53)Conclusion and Where to Find Greg (01:17:58)Links and MentionsTools and Websites"Castos": "00:01:02""Podcast Motor": "00:01:02""Audacity": "00:05:40""Ecom from Skype": "00:05:40""Blueberry": "00:05:50""Buzzsprout": "00:05:50""Seriously Simple Podcasting": "00:17:36""HubSpot": "00:19:14""Cursor": "00:15:11""Zencastr": "00:22:33""Zoom": "00:22:33""Figma": "00:24:26""Cursor": "00:27:41""TinySeed": "00:30:25""11 Labs": "00:26:30""Claude": "00:26:30""Marnus": "00:26:30""TinySeed": "00:48:33""WordPress": "00:51:19""Podsqueeze": "00:54:10""Apple Podcast Connect": "00:55:13""Rogue Startups": "01:17:58"Books"Steal Like an Artist": "00:19:31"Videos and Podcasts"Nathan Barry's Podcast": "01:08:40"

Web Searches For Archives Didier observed additional file types being searched for as attackers continue to focus on archive files as they spider web pages https://isc.sans.edu/diary/Web%20Searches%20For%20Archives/32282 FBI Flash Alert: Salesforce Attacks The FBI is alerting users of Salesforce of two different threat actors targeting Salesforce. There are no new vulnerabilities disclosed, but the initial access usually takes advantage of social engineering or leaked data from the Salesdrift compromise. https://www.ic3.gov/CSA/2025/250912.pdf VSCode Cursor Extensions Malware Koe Security unmasked details about a recent malicious cursor extension campaign they call White Cobra. https://www.koi.security/blog/whitecobra-vscode-cursor-extensions-malware BSides Augusta https://bsidesaugusta.org/

On this episode of Crazy Wisdom, I, Stewart Alsop, sit down with Sweetman, the developer behind on-chain music and co-founder of Recoup. We talk about how musicians in 2025 are coining their content on Base and Zora, earning through Farcaster collectibles, Sound drops, and live shows, while AI agents are reshaping management, discovery, and creative workflows across music and art. The conversation also stretches into Spotify's AI push, the “dead internet theory,” synthetic hierarchies, and how creators can avoid future shock by experimenting with new tools. You can follow Sweetman on Twitter, Farcaster, Instagram, and try Recoup at chat.recoupable.com.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop introduces Sweetman to talk about on-chain music in 2025.05:00 Coins, Base, Zora, Farcaster, collectibles, Sound, and live shows emerge as key revenue streams for musicians.10:00 Streaming shifts into marketing while AI music quietly fills shops and feeds, sparking talk of the dead internet theory.15:00 Sweetman ties IoT growth and shrinking human birthrates to synthetic consumption, urging builders to plug into AI agents.20:00 Conversation turns to synthetic hierarchies, biological analogies, and defining what an AI agent truly is.25:00 Sweetman demos Recoup: model switching with Vercel AI SDK, Spotify API integration, and building artist knowledge bases.30:00 Tool chains, knowledge storage on Base and Arweave, and expanding into YouTube and TikTok management for labels.35:00 AI elements streamline UI, Sam Altman's philosophy on building with evolving models sparks a strategy discussion.40:00 Stewart reflects on the return of Renaissance humans, orchestration of machine intelligence, and prediction markets.45:00 Sweetman weighs orchestration trade-offs, cost of Claude vs GPT-5, and boutique services over winner-take-all markets.50:00 Parasocial relationships with models, GPT psychosis, and the emotional shock of AI's rapid changes.55:00 Future shock explored through Sweetman's reaction to Cursor, ending with resilience and leaning into experimentation.Key InsightsOn-chain music monetization is diversifying. Sweetman describes how musicians in 2025 use coins, collectibles, and platforms like Base, Zora, Farcaster, and Sound to directly earn from their audiences. Streaming has become more about visibility and marketing, while real revenue comes from tokenized content, auctions, and live shows.AI agents are replacing traditional managers. By consuming data from APIs like Spotify, Instagram, and TikTok, agents can segment audiences, recommend collaborations, and plan tours. What once cost thousands in management fees is now automated, providing musicians with powerful tools at a fraction of the price.Platforms are moving to replace artists. Spotify and other major players are experimenting with AI-generated music, effectively cutting human musicians further out of the revenue loop. This shift reinforces the importance of artists leaning into blockchain monetization and building direct relationships with fans.The “dead internet theory” reframes the future. Sweetman connects IoT expansion and declining birth rates to a world where AI, not humans, will make most online purchases and content. The lesson: build products that are easy for AI agents to buy, consume, and amplify, since they may soon outnumber human users.Synthetic hierarchies mirror biological ones. Stewart introduces the idea that just as cells operate autonomously within the body, billions of AI agents will increasingly act as intermediaries in human creativity and commerce. This frames AI as part of a broader continuity of hierarchical systems in nature and society.Recoup showcases orchestration in practice. Sweetman explains how Recoup integrates Vercel AI SDK, Spotify APIs, and multi-model tool chains to build knowledge bases for artists. By storing profiles on Base and Arweave, Recoup not only manages social media but also automates content optimization, giving musicians leverage once reserved for labels.Future shock is both risk and opportunity. Sweetman shares his initial rejection of AI coding tools as a threat to his identity, only to later embrace them as collaborators. The conversation closes with a call for resilience: experiment with new systems, adapt quickly, and avoid becoming a Luddite in an accelerating digital age.

In this episode, we're unpacking the strategic angles of workforce strategy as seen in Cursor Acquires Koala: Saving Employees. We explore how this acquisition is balancing growth with empathy amid a shifting tech landscape. Join us for a look into the story, the strategy, and the statement this deal makes.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

The npm incident: nothing to fret about? Cursor Autorun flaw lets repositories execute code without consent Senator Wyden urges FTC to probe Microsoft over Ascension hack Huge thanks to our sponsor, Vanta Do you know the status of your compliance controls right now? Like...right now? We know that real-time visibility is critical for security, but when it comes to our GRC programs…we rely on point-in-time checks. But more than 9,000 companies have continuous visibility into their controls with Vanta. Vanta brings automation to evidence collection across over 35 frameworks, like SOC 2 and ISO 27001. They also centralize key workflows like policies, access reviews, and reporting, and helps you get security questionnaires done 5 times faster with AI. Now that's…a new way to GRC. Get started at Vanta.com/headlines.  

If you're not building AI employees right now, you're already falling behind. In this episode, I break down how I built six AI employees in less than an hour—and why this is going to change the way we work. I'll show you how these agents can handle content repurposing, SEO, and even parts of your workflow so you can stay focused on the highest-leverage tasks. Using tools like Cursor and Claude Code, I'll walk you through how to actually set this up and where the real opportunities lie. Timecodes⏰ (00:00) Introduction to AI Employees (02:15) The Future of Work with AI (05:30) Setting Up Your AI Command Center (08:45) Creating Sub-Agents with Claude Code (12:00) Leveraging AI for Content Repurposing (15:20) AI in Marketing and Recruitment (18:45) Real-World Success Stories (22:00) Conclusion and Next Steps How to Connect: IG: / ericosiu X: / ericosiu

#315: In this episode, the discussion centers around the critical importance of design over mere code writing in software development. The hosts reflect on their experience with coding tools like Cursor and Claude Code, noting their pros, cons, and the efficiency brought by AI in handling coding chores. They highlight the paradigm shift in developer tasks from writing code to managing and designing projects, comparing it to the role of an author in world-building. The conversation also touches on the potential future of startups leveraging AI to minimize costs, the iterative nature of design, and practical tips for integrating AI into development workflows effectively.   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

Want to build your own apps with AI? Get the prompts here: https://clickhubspot.com/gfb Episode 75: What if you could turn your app idea into a fully functional web application—without writing a single line of code—in under 60 seconds? Nathan Lands (https://x.com/NathanLands) welcomes Eric Simons (https://x.com/ericsimons), co-founder of Bolt, one of the hottest AI startups revolutionizing how apps are built. In this episode, Eric reveals how Bolt makes it possible for anyone, regardless of technical skill, to go from idea to live, production-ready web or mobile apps—complete with authentication, databases, and hosting. He shares Bolt's unique approach that enables rapid prototyping, real business-grade deployments, and makes high-fidelity MVPs accessible to entrepreneurs, product managers, and non-coders everywhere. The conversation covers Bolt's founding story, its growth, and details from their record-breaking hackathon that empowered 130,000+ makers. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) High Fidelity Prototyping Essentials (04:32) Revolutionary Prototyping and Collaboration Tool (06:33) Rapid Prototyping Tool Focus (11:35) Empowering Non-Tech Entrepreneurs (13:34) Fast MVP Development with Bolt (18:19) AI-Powered Personalized Weight Coach (22:10) Launching Stackblitz: Web IDE Vision (22:48) Browser-Based Dev Environments Revolution (28:05) Advancements in Coding and AI (29:28) Critical Thinking in AI Development (34:08) Teaching Kids Future Skills (37:05) Bay Area's Autonomous Transport Future — Mentions: Eric Simons: ​​https://www.linkedin.com/in/eric-simons-a464a664/ Bolt: https://bolt.new/ Figma: https://www.figma.com/ Netlify: https://www.netlify.com/ Supabase: https://supabase.com/ Cursor: https://cursor.com/ Lovable: https://lovable.dev/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Three leading ISV executives from Coveo, DTEX Systems and Honeycomb, reveal how companies with proprietary datasets are gaining unbeatable competitive advantages in the AI era and share real-world strategies how you have similar outcomes.Topics Include:Panel introduces three ISV leaders discussing data platform transformation for AIDTEX focuses on insider threats, Coveo on enterprise search, Honeycomb on observabilityCompanies with proprietary datasets gain strongest competitive advantage in AI transformationData gravity concept: LLMs learning from unique datasets create defensible business positionsCoveo maintains unified enterprise index with real-time content and access rights syncHoneycomb enables subsecond queries for analyzing logs, traces, and metrics at scaleMulti-tenant architectures balance shared infrastructure benefits with single-tenant data separationCoveo deployed 140,000 times last year using mostly multi-tenant, some single-tenant componentsDTEX scaled from thousands to hundreds of thousands endpoints after architectural transformationCapital One partnership taught DTEX how to break monolithic architecture into servicesApache Iceberg and open table formats enable interoperability without data duplicationHoneycomb built custom format following similar patterns with hot/cold storage tiersBusiness data catalogs become critical for AI agents understanding dataset contextMCP servers allow AI systems to leverage structured cybersecurity datasets effectivelyDTEX used Cursor with their data to identify North Korean threat actorsReal-time AI data needs balanced with costs using right models for jobsCaching strategies and precise context reduce expensive LLM inference calls unnecessarilySearch remains essential for enterprise AI to prevent hallucination and access informationROI measurement focuses on cost reduction, analyst efficiency, and measurable business outcomesKey takeaway: invest in data structure early, context is king, AI is just softwareParticipants:Sebastien Paquet - Vice President of AI Strategy, CoveoRajan Koo - CTO, DTEX SystemsPatrick King - Head of Data, Honeycomb.ioKP Bhat - Sr Solutions Architecture Leader- Analytics & AI, Amazon Web ServicesFurther Links:Coveo: Website – LinkedIn – AWS MarketplaceDTEX Systems: Website – LinkedIn – AWS MarketplaceHoneycomb.io: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Tristan talks with Mikkel Dengsøe, co-founder at SYNQ, to break down what agentic coding looks like in analytics engineering. Mikkel walks through a hands-on project using Cursor, the dbt MCP server, Omni's AI assistant, and Snowflake. They cover where agents shine (staging, unit tests, lineage-aware checks), where they're risky (BI chat for non-experts), and how observability is shifting from dashboards to root-cause explanations. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

SaaStr 818: Anthropic, Cursor, Fal & Bessemer: The Realities of Scaling AI Join Talia Goldberg (Bessemer Venture Partners), Kelly Loftus (Anthropic), Jacob Jackson (Cursor), and Gorkem Yurtseven (FaL - Feautres and Labels) as they discuss the evolving landscape of AI, business models, metrics, and the future of generative media.  00:00 - Introduction & Panelist Bios 01:19 - How AI Companies Are Changing Metrics 02:20 - The New Economics: Margins, Growth, and Pricing 04:41 - Usage-Based Models & The Cost to Serve 06:31 - The Impact of Expensive Models on Margins 08:00 - Go-To-Market Team Structures at Anthropic 09:36 - Scaling Sales Teams & The Quota Debate 12:01 - Hiring and Team Building Tactics 14:47 - How AI Is Used Internally at These Companies 17:47 - Key Decisions & Pivots in Company Journeys 20:07 - Collaboration vs. Competition: Cursor & Anthropic 22:23 - Measuring Productivity Gains from AI 24:26 - The Metrics That Matter Most 27:16 - Final Thoughts & Audience Q&A   --------------------- Fin is the #1 AI Agent for resolving complex queries like refunds, transaction disputes, and technical troubleshooting—all with speed and reliability. See how Fin can deliver the highest resolution rates and highest-quality customer experience at fin.ai/saastr. --------------------- If you're serious about B2B and AI, you need to be in London this December 2nd and 3rd.   SaaStr AI London is bringing together more than 2,000 leaders and founders for two days of practical advice on scaling into the new year.    We'll have speakers flying in from OpenAI, Wiz, Clay, Intercom, and all your favorite SaaS companies, including yours truly with Harry Stebbings for a live 20VC podcast. It'll be fun, and it's all in the heart of London.    Don't miss out: get your tickets with my exclusive discount by going to podcast.saastrlondon.com   ---------------------   Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026.    With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year.     But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait.    Lock in your spot today by going to podcast podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

Find bonus content and more on our Substack: https://designbetterpodcast.com/p/henry-modisett AI isn't just another layer in our digital toolkit—it's reshaping the tools themselves, and in the process, transforming how we work, think, and solve problems. Henry Modisett, VP of Design at Perplexity, is in a unique position to challenge many of the norms that have shaped tech for some time now. Perplexity just released a beautiful new browser called Comet that puts AI at the heart of the user experience. We have been thoroughly impressed with it all ready. As a designer with a computer science background, Henry takes a unique approach to his work. Rather than designing in Figma like most of us mortals, he and his team design in React, building working versions of interfaces so they can use it while they shape it. Henry shares how his team approaches the design of AI-native products, and why traditional UX patterns often fall short in this new landscape. We explore the role of curiosity in AI interaction, how transparency and trust are earned (not assumed), and why embracing ambiguity might just be the most human-centered design move of all. By the way, you may have heard that we just launched the Design Better Toolkit, a collection of resources we love and use regularly. The Toolkit gets you major discounts and free access to tools and courses that will help you unlock new skills, make your workflow more efficient, and take your creativity further. Perplexity just happens to be a part of this bundle. You'll get 6 months free of Perplexity Pro (an $180 value), as well as credits and discounts on tools like Airtable, Read AI, and other tools, and courses like Prototyping with Cursor and more. To get access you'll need to be a Design Better Premium member at the annual subscription level. Visit dbtr.co/toolkit to learn more.

Join me as I chat with Lee Robinson, VP of Developer Experience at Cursor, as he shares practical tips for maximizing productivity with Cursor's AI coding tools. He demonstrates how to structure prompts, create custom commands, and leverage agents for everything from bug fixes to code reviews. The conversation highlights how AI tools are making software development more accessible while enabling developers to build higher quality products with less effort. Timestamps: 00:00 - Intro 01:49 - Using AI Agents in Cursor 08:21 - Custom Rules within Cursor 11:49 - BugBot and code review automation 17:19 - CLI and headless options for Cursor agents 19:29 - Tips for getting the most out of Cursor 21:09 - Examples of innovative software built with Cursor Get Your Complete Financial OS at https://dub.sh/brex-sip Key Points: • Lee demonstrates how to effectively use Cursor's AI agents for discrete coding tasks • Setting up proper linting, formatting, and testing helps agents self-correct their outputs • Custom commands and rules can be created to enhance code reviews and writing quality • Cursor offers CLI and headless options for running agents in automation workflow The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com  The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg  Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND LEE ON SOCIAL X/Twitter: https://x.com/leeerob YouTube: https://www.youtube.com/@leerob Personal Website: https://leerob.com

Howie Liu is the co-founder and CEO of Airtable, the no-code platform valued at around $12 billion. After a viral tweet declared “Airtable is dead” based on incorrect data, Howie led a radical transformation: reorganizing the entire company around AI, becoming an “IC CEO” who codes daily, and achieving over $100 million in free cash flow.What you'll learn:1. The “fast thinking” vs. “slow thinking” team structure that lets Airtable ship AI features weekly (inspired by Daniel Kahneman)2. Why Howie uses AI hourly (not daily) and is Airtable's #1 inference-cost user globally3. Why CEOs must become ICs again in the AI era (and how to restructure your calendar to make it possible)4. Why “playing” with AI tools should be mandatory—Howie tells employees to cancel all meetings for a week to experiment5. The specific skills product managers, engineers, and designers need to develop to succeed in the AI era6. Why evals can kill innovation (and when to use “vibes” instead)—Brought to you by:LucidLink—Real-time cloud storage for teamsDX—The developer intelligence platform designed by leading researchersClaude.ai—The AI for problem solvers and enterprise—Where to find Howie Liu• X: https://x.com/howietl• LinkedIn: https://www.linkedin.com/in/howieliu/• Email: howie@airtable.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Howie Liu and Airtable(04:05) The “Airtable is dead” viral tweet controversy(08:07) The rise of IC CEOs(10:57) AI's paradigm shift in product development(16:27) Specific changes Airtable has made(21:38) Fast- and slow-thinking teams(32:57) The emergence of new form factors in AI models(34:48) Airtable's vision and philosophy(40:20) Empowering teams with AI tools(46:50) Encouraging experimentation and play(50:55) Cross-functional skills in product teams(01:03:35) The importance of evals and open-ended testing(01:08:06) Key strategies for AI-driven success(01:12:43) Counterintuitive startup wisdom(01:22:21) Don't step away from the details that you love(01:25:50) Advice for aspiring engineers and designers(01:30:00) Lightning round and final thoughts—Referenced:• Airtable: https://www.airtable.com/• All In podcast: https://allin.com/• Nikita Bier on X: https://x.com/nikitabier• Figma: https://www.figma.com/• The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper (co-founder and CEO of Every): https://www.lennysnewsletter.com/p/inside-every-dan-shipper• Every: https://every.to/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Rippling: https://www.rippling.com/• Omni: https://www.airtable.com/lp/ai-psu-plp• How ChatGPT accidentally became the fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Palantir: https://www.palantir.com/• Harvey: https://www.harvey.ai/• v0: https://v0.dev/• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Replit: https://replit.com/• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Lovable: https://lovable.dev/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Runway Game Worlds: https://play.runwayml.com/login• Sesame: https://www.sesame.com• NotebookLM: https://notebooklm.google• Salesforce: https://www.salesforce.com• Andrew Ofstad on LinkedIn: https://www.linkedin.com/in/aofstad/• Stripe: https://stripe.com/• Eames chair: https://en.wikipedia.org/wiki/Eames_Lounge_Chair• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• IDEO design thinking: https://designthinking.ideo.com/• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• The Studio on AppleTV+: https://tv.apple.com/us/show/the-studio/umc.cmc.7518algxc4lsoobtsx30dqb52• Silicon Valley on HBOMax: https://www.hbomax.com/shows/silicon-valley/b4583939-e39f-4b5c-822d-5b6cc186172d• Self Edge: https://www.selfedge.com/• Studio D'Artisan: https://www.selfedge.com/studio-dartisan• Whitesville T-shirt: https://store.toyo-enterprise.co.jp/shopbrand/ct48/• Guest Series | Dr. Paul Conti: How to Understand & Assess Your Mental Health: https://www.hubermanlab.com/episode/guest-series-dr-paul-conti-how-to-understand-and-assess-your-mental-health—Recommended books:• Thinking, Fast and Slow: https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555• The Three-Body Problem: https://www.amazon.com/Three-Body-Problem-Cixin-Liu/dp/0765382032• Trauma: The Invisible Epidemic: How Trauma Works and How We Can Heal From It: https://us.amazon.com/Trauma-Invisible-Epidemic-Works-Heal/dp/1683647351/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

In this episode of the TestGuild podcast, Joe Colantonio sits down with Ben Fellows, founder of LoopQA and QA thought leader, to explore how AI is reshaping test automation. Ben shares lessons from his popular AI test automation workshops, diving deep into topics like: How AI turns hours of page object coding into minutes Why “augmented coding” beats “vibe coding” for serious QA work Practical ways teams can leverage Cursor, Playwright, and AI to boost productivity What QA leaders need to know about shifting roles, scaling code reviews, and IT security concerns Key trends coming in 2026 that could redefine how we write tests Whether you're curious about AI's real impact on QA, looking for ways to speed up your automation, or wondering what's next for Playwright and MCP, this conversation will give you actionable insights and inspiration.

Asha Sharma leads AI product strategy at Microsoft, where she works with thousands of companies building AI products and has unique visibility into what's working (and what's not) across more than 15,000 startups and enterprises. Before Microsoft, Asha was COO at Instacart, and VP of Product & Engineering at Meta, notably leading product for Messenger.What you'll learn:1. Why we're moving from “product as artifact” to “product as organism” and what this means for builders2. Microsoft's “seasons” planning framework that allows them to adapt quickly in the AI era3. The death of the org chart: how agents are turning hierarchies into task networks and why “the loop, not the lane” is the new organizing principle4. Why post-training will soon see more investment than pre-training—and how to build your own AI moat with fine-tuning5. Her prediction for the “agentic society”—where org charts become work charts and agents outnumber humans in your company6. The three-phase pattern every successful AI company follows (and why most fail at phase one)7. The rise of code-native interfaces and why GUIs might be going the way of the desktop8. What Asha learned from Satya Nadella about optimism—Brought to you by:Enterpret—Transform customer feedback into product growth: https://enterpret.com/lennyDX—The developer intelligence platform designed by leading researchers: http://getdx.com/lennyFin—The #1 AI agent for customer service: https://fin.ai/lenny—Transcript: ⁠https://www.lennysnewsletter.com/p/how-80000-companies-build-with-ai-asha-sharma⁠—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/171413445/my-biggest-takeaways-from-this-conversation⁠—Where to find Asha Sharma:• LinkedIn: https://www.linkedin.com/in/aboutasha/• Blog: https://azure.microsoft.com/en-us/blog/author/asha-sharma/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Asha Sharma(04:18) From “product as artifact” to “product as organism”(06:20) The rise of post-training and the future of AI product development(09:10) Successful AI companies: patterns and pitfalls(12:01) The evolution of full-stack builders(14:15) “The loop, not the lane”—the new organizing principle(16:24) The future of user interfaces: from GUI to code-native(19:34) The rise of the agentic society(22:58) The “work chart” vs. the “org chart”(26:24) How Microsoft is using agents(28:23) Planning and strategy in the AI landscape(35:38) The importance of platform fundamentals(39:31) Lessons from industry giants(42:10) What's driving Asha(44:30) Reinforcement learning (RL) and optimization loops(49:19) Lightning round and final thoughts—Referenced:• Copilot: https://copilot.microsoft.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Inside ChatGPT: The fastest growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• GitHub: https://github.com• Dragon Medical One: https://www.microsoft.com/en-us/health-solutions/clinical-workflow/dragon-medical-one• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Lovable: https://lovable.dev/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Bolt: http://bolt.com• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Replit: https://replit.com/•Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Sierra: https://sierra.ai/• Spark: https://github.com/features/spark• Peter Yang on X: https://x.com/petergyang• How AI will impact product management: https://www.lennysnewsletter.com/p/how-ai-will-impact-product-management• Instacart: http://instacart.com/• Terminator: https://en.wikipedia.org/wiki/Terminator_(franchise)• Porch Group: https://porchgroup.com/• WhatsApp: https://www.whatsapp.com/• Maslow's Hierarchy of Needs: https://www.simplypsychology.org/maslow.html• Satya Nadella on X: https://x.com/satyanadella• Perfect Match 360°: Artificial intelligence to find the perfect donor match: https://ivi-fertility.com/blog/perfect-match-360-artificial-intelligence-to-find-the-perfect-donor-match/• OpenAI's GPT-5 shows potential in healthcare with early cancer detection capabilities: https://economictimes.indiatimes.com/news/international/us/openais-gpt-5-shows-potential-in-healthcare-with-early-cancer-detection-capabilities/articleshow/123173952.cms• F1: The Movie: https://www.imdb.com/title/tt16311594/• For All Mankind on AppleTV+: https://tv.apple.com/us/show/for-all-mankind/umc.cmc.6wsi780sz5tdbqcf11k76mkp7• The Home Depot: https://www.homedepot.com/• Dewalt Powerstack: https://www.dewalt.com/powerstack• Regret Minimization Framework: https://s3.amazonaws.com/kajabi-storefronts-production/sites/2147500522/themes/2148012322/downloads/rLuObc2QuOwjLrinx5Yu_regret-minimization-framework.pdf—Recommended books:• The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip: https://www.amazon.com/Thinking-Machine-Jensen-Coveted-Microchip/dp/0593832698• Tomorrow, and Tomorrow, and Tomorrow: https://www.amazon.com/dp/0593466497Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com

Claude Code might be the secret weapon marketers didn't know they needed. In this video, I break down how Claude Code can supercharge marketing by boosting efficiency and sharpening execution. From running smarter AB tests to leveling up SEO and creating sub agents that handle the heavy lifting, I share practical ways to apply it now and where it's headed in the future. TIMESTAMPS (00:00) Introduction to Claude Code and Its Importance (02:48) Understanding AB Testing and Its Applications (06:03) Leveraging SEO and Conversion Optimization (09:10) Creating Sub Agents for Marketing Efficiency (12:03) Practical Applications and Future Prospects of Claude Code How to Connect: IG: / ericosiu X: / ericosiu

Want Elena's AI Tech Stack that helped grow her startup? Get it here: https://clickhubspot.com/fkv Ep. 356 Did you know Lovable is the fastest-growing AI app on the planet—scaling faster than ChatGPT? Kieran dives into what it takes to succeed in today's AI-native startup world, with growth leader Elena Verna revealing how Lovable is changing the game for building and scaling tech companies. Learn more on why traditional management roles are disappearing, how end-to-end ownership and autonomy are driving insane speed at Lovable, and how the growth playbook is transforming for a generation of AI-powered products. Mentions Elena Verna https://www.linkedin.com/in/elenaverna/ Lovable https://lovable.dev/ Cursor https://cursor.com/ Miro https://miro.com/ SurveyMonkey https://www.surveymonkey.com/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

This is a preview of a premium episode on Design Better. Head to our Substack to get access to the full episode: https://designbetterpodcast.com/p/elizabeth-lin Have you played around with Cursor? If not, it's time. Designers with no coding skills are passing Cursor Figma files and getting working apps out the other side. And if you have no design, you can just prompt this AI powered development environment to get a solid prototype of your idea. Elizabeth Lin, founder of Design is a Party, recognizes that Cursor is going to expand the capabilities of designers. She's built a course that introduces designers to Cursor and challenges you to build while you design. We talk with Elizabeth about how she's using AI tools like Cursor to help designers prototype faster than ever before, why she thinks now might be the perfect time to try something new in your career, and what's missing from traditional design education. Elizabeth also shares what she's learned about "vibe coding," why debugging is the hardest skill for new students to master, and how she's building a business around the idea that learning should feel more like a party than work. By the way, you may have heard that we just launched the Design Better Toolkit, a collection of resources we love and use regularly. The Toolkit gets you major discounts and free access to tools and courses that will help you unlock new skills, make your workflow more efficient, and take your creativity further. One of Elizabeth's courses, Prototyping with Cursor, just happens to be a part of this bundle. You'll get $100 off her course, as well as a $500 credit towards Airtable, discounts on Read.ai, Perplexity, Miro, and other tools, and discounts on other courses from platforms like ShiftNudge. To get access you'll need to be a Design Better Premium member at the annual subscription level. Visit dbtr.co/toolkit to learn more. Bio Elizabeth is a design educator with 10 years of experience whose love for design began in the early internet days of Neopets, creating playful graphics and websites with tools like MS Paint. She went on to study computer science at UC Berkeley, where she discovered a community of design enthusiasts and began teaching her first course on Illustrator and Photoshop as a sophomore. That experience sparked a lasting passion for teaching, which she continued to pursue through workshops and courses during her time at Berkeley. After graduating, Elizabeth worked as a product designer at education-focused companies like Khan Academy and Primer, designing tools for teachers and students while expanding her perspective on learning. In 2023, she founded Design is a Party, an alternative design school that reflects her playful yet rigorous approach to teaching. Since then, she has launched a two-course series on visual design, developed portfolio-building resources, and led workshops to help the next generation of designers grow their craft.

Agentic AI programming is what happens when coding assistants stop acting like autocomplete and start collaborating on real work. In this episode, we cut through the hype and incentives to define “agentic,” then get hands-on with how tools like Cursor, Claude Code, and LangChain actually behave inside an established codebase. Our guest, Matt Makai, now VP of Developer Relations at DigitalOcean, creator of Full Stack Python and Plushcap, shares hard-won tactics. We unpack what breaks, from brittle “generate a bunch of tests” requests to agents amplifying technical debt and uneven design patterns. Plus, we also discuss a sane git workflow for AI-sized diffs. You'll hear practical Claude tips, why developers write more bugs when typing less, and where open source agents are headed. Hint: The destination is humans as editors of systems, not just typists of code. Episode sponsors Posit Talk Python Courses Links from the show Matt Makai: linkedin.com Plushcap Developer Content Analytics: plushcap.com DigitalOcean Gradient AI Platform: digitalocean.com DigitalOcean YouTube Channel: youtube.com Why Generative AI Coding Tools and Agents Do Not Work for Me: blog.miguelgrinberg.com AI Changes Everything: lucumr.pocoo.org Claude Code - 47 Pro Tips in 9 Minutes: youtube.com Cursor AI Code Editor: cursor.com JetBrains Junie: jetbrains.com Claude Code by Anthropic: anthropic.com Full Stack Python: fullstackpython.com Watch this episode on YouTube: youtube.com Episode #517 deep-dive: talkpython.fm/517 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

In this potluck episode of Syntax, Wes and Scott answer your questions about VS Code vs Cursor, navigating promotions and job titles, database fundamentals, avoiding decision paralysis, how AI is shaping frameworks, and more! Show Notes 00:00 Welcome to Syntax! 00:56 Brought to you by Sentry.io 06:24 Moving from VS Code to Cursor without losing your shortcuts 12:13 Should you bring up a senior promotion at a new job? 16:32 Relying on LLMs vs. learning database fundamentals 20:42 Overcoming decision paralysis in programming 25:00 What to do when your code gets too messy 27:39 Could Wasm replace Docker and Kubernetes? 32:14 Organizing mini-apps in Express: monorepo, micro frontends, or something else? 38:49 Will AI lock us into React and make new frameworks irrelevant? 46:57 Sick Picks + Shameless Plugs Sick Picks Wes and Scott: Niimbot Shameless Plugs Subscribe to Syntax on YouTube Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads