Podcasts about Tooling

Imagine a world where handoff no longer exists and designers are moving fluidly in code…[Drew Wilson](https://x.com/drewwilson) is one of the people pulling that future into the present so this week's episode is a deep dive into his vision for the new design tool [Opacity](https://opacity.app/).Some highlights:- How team structures are changing- How to stand out when everyone is a builder- What design's “Github moment” will look like- The fracturing of the market for design talent- How Drew is approaching this startup differently- Where the new technical threshold is for designers- + a lot moreDrew is also building his new IDE called Loop - https://loupe.build/

Dominic Gannaway joins us to talk about Ripple.js, a new TypeScript-first UI framework built with its own templating language and a focus on clarity and reactivity. We explore how Ripple.js handles fine-grained updates through its track and block system, why it avoids global state, and how context plays a key role. Dominic also walks us through the developer experience, from the language server and VS Code integration to syntax highlighting and the Prettier plugin, plus how the framework handles error boundaries, server-side rendering, future plans, and more. Links Twitter: https://x.com/trueadm Github: https://github.com/trueadm LinkedIn: https://www.linkedin.com/in/dominic-gannaway-414b7750 Resources RippleJS GitHub: https://ripplejs.github.io RippleJS website: https://www.ripplejs.com/ We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Check out our newsletter (https://blog.logrocket.com/the-replay-newsletter/)! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Chapters 00:00 – Intro & What is RippleJS 01:00 – The Origins and Naming of Ripple 02:00 – A New UI Framework Built on TypeScript 03:30 – Creating a Custom Language and Templating System 05:00 – Building Ripple's Tooling and Language Server 06:00 – The Team, Open Source Growth, and Early Feedback 07:00 – From UI Framework to Meta Framework 09:00 – Integrating AI into the Dev Server 10:30 – Handling Controversy and Changing the Status Quo 11:30 – How Ripple Was Built in a Week 13:00 – Redesigning the Reactivity System 16:00 – Why Ripple Doesn't Use Global State 19:00 – Lessons Learned from Other Frameworks 21:00 – Naming Conventions and API Design Decisions 22:30 – Error Boundaries and Async Patterns in Ripple 24:00 – Accessibility and ByteDance Native App Integration 25:00 – The Team's Workflow and Contributor Culture 27:00 – Building TypeScript-First from Scratch 29:00 – Language Server, Source Maps, and VS Code Integration 31:00 – Building in Public and Open Source Collaboration 32:30 – The Future of Frontend Frameworks 34:00 – How Ripple's Ideas Might Influence Others 35:00 – AI, Security, and the Road Ahead 36:00 – Closing Thoughts & How to Get Involved

In this episode, Darko welcomes Brian Douglas, Head of Developer Experience at Continue and longtime open source advocate. They talk about the rise of the AI engineer, how AI agents are reshaping developer workflows, and what's next for open source infrastructure. Enjoy the episode!Read the blog post: https://semaphore.io/blog/brian-douglasLike this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️ review on the podcast player of your choice and share it with your friends.

In this episode of Engineering Enablement, Laura Tacho and Abi Noda discuss how engineering leaders can plan their 2026 AI budgets effectively amid rapid change and rising costs. Drawing on data from DX's recent poll and industry benchmarks, they explore how much organizations should expect to spend per developer, how to allocate budgets across AI tools, and how to balance innovation with cost control.Laura and Abi also share practical insights on building a multi-vendor strategy, evaluating ROI through the right metrics, and ensuring continuous measurement before and after adoption. They discuss how to communicate AI's value to executives, avoid the trap of cost-cutting narratives, and invest in enablement and training to make adoption stick.Where to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda  • Substack: ​​https://substack.com/@abinoda  Where to find Laura Tacho: • LinkedIn: https://www.linkedin.com/in/lauratacho/• X: https://x.com/rhein_wein• Website: https://lauratacho.com/• Laura's course (Measuring Engineering Performance and AI Impact): https://lauratacho.com/developer-productivity-metrics-courseIn this episode, we cover:(00:00) Intro: Setting the stage for AI budgeting in 2026(01:45) Results from DX's AI spending poll and early trends(03:30) How companies are currently spending and what to watch in 2026(04:52) Why clear definitions for AI tools matter and how Laura and Abi think about them(07:12) The entry point for 2026 AI tooling budgets and emerging spending patterns(10:14) Why 2026 is the year to prove ROI on AI investments(11:10) How organizations should approach AI budgeting and allocation(15:08) Best practices for managing AI vendors and enterprise licensing(17:02) How to define and choose metrics before and after adopting AI tools(19:30) How to identify bottlenecks and AI use cases with the highest ROI(21:58) Key considerations for AI budgeting (25:10) Why AI investments are about competitiveness, not cost-cutting(27:19) How to use the right language to build trust and executive buy-in(28:18) Why training and enablement are essential parts of AI investment(31:40) How AI add-ons may increase your tool costs(32:47) Why custom and fine-tuned models aren't relevant for most companies today(34:00) The tradeoffs between stipend models and enterprise AI licensesReferenced:DX Core 4 Productivity FrameworkMeasuring AI code assistants and agents2025 State of AI Report: The Builder's PlaybookGitHub Copilot · Your AI pair programmerCursorGleanClaude CodeChatGPTWindsurfTrack Claude Code adoption, impact, and ROI, directly in DXMeasuring AI code assistants and agents with the AI Measurement FrameworkDriving enterprise-wide AI tool adoptionSentryPoolside

Anthony and Katie are joined by Andreas Møller, co-founder of Nordcraft. Nordcraft aims to bring design and development closer together, and as you can imagine Andreas has a unique perspective on design tools. What happens to "hand-off" when designers can get their ideas 90% there?Find Andreas on BlueskyHosts:Anthony Hobday, Generalist Product Designer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/hobdaydesign⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Katie Langerman, Systems Designer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/KatieLangerman

Elixir creator, José Valim, is throwing his hat into the coding agent ring with Tidewave –a coding agent for full-stack web development. Tidewave runs in the browser alongside your app, but it's also deeply integrated into Rails and Phoenix. On this episode, José tells us all about it. Also: his agent flow, YOLO mode, an MCP hot take, and more.

Elixir creator, José Valim, is throwing his hat into the coding agent ring with Tidewave –a coding agent for full-stack web development. Tidewave runs in the browser alongside your app, but it's also deeply integrated into Rails and Phoenix. On this episode, José tells us all about it. Also: his agent flow, YOLO mode, an MCP hot take, and more.

Andreas Rossberg unpacks WASM 3.0, covering new capabilities like garbage collection, exception handling, tail calls, and support for 64-bit addressing with multiple memories. The discussion explores deterministic profiles following relaxed sim, WebAssembly's capability-based security model, and advances in sandboxing and module design. Andreas connects these features to practical use cases in JavaScript engines and applications like Google Sheets, then looks ahead to experimental work on threading, stack switching, and async programming models shaping the next phase of the WebAssembly ecosystem. Links Website: https://people.mpi-sws.org/~rossberg GitHub: https://github.com/rossberg Resources WASM 3.0 Completed: https://webassembly.org/news/2025-09-17-wasm-3.0 Chapters 00:00 Intro – Andreas Rossberg and the WebAssembly 3.0 Update 01:05 The State of WebAssembly Today 02:15 Why WebAssembly Exists Beyond the Web 03:20 From WebAssembly 2.0 to 3.0 – What's Actually New 04:30 Garbage Collection: A Game-Changer for Managed Languages 06:00 The Vision of WebAssembly as a Universal Compilation Target 07:40 How GC Support Unlocks Java, Kotlin, and Dart on WASM 09:10 Expanding to 64-bit Memory – Performance and Limits 10:40 WebAssembly for Databases, AI, and LLMs 12:00 Sandboxing and Security by Design 13:10 How Capabilities and Static Analysis Keep WASM Safe 14:30 Multi-Memory Support and Real-World Use Cases 16:00 Developer Ergonomics vs. Specification Purity 17:20 Tail Calls and Functional Programming Benefits 18:40 Function Tables and Secure Indirection 20:00 Exception Handling Finally Arrives 21:10 Determinism, Efficiency, and Why It Matters for Blockchain 22:30 SIMD and Hardware Divergence Across Platforms 24:00 Balancing Portability with Performance 25:20 The Design Philosophy Behind WebAssembly 26:30 Why WASM Rejects Language-Specific Features 27:40 Proposal Process: Who Decides What Gets In 29:00 Browser Vendors and Implementation Challenges 30:10 Early Deployments: GC, Tooling, and Adoption Stories 31:30 Threads, Stack Switching, and the Future of Concurrency 33:00 Async/Await and Coroutines on WebAssembly 34:30 What's Coming Next for WASM Developers 35:40 How to Get Involved – Working Groups and Proposals 37:00 Closing Thoughts and Thanks We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabet.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr)

AI Weekly Rundown From September 29 to October 05th, 2025:

Hi, Spring fans! In this installment we talk to Spring tooling legend Dr. Kris De Volder

Charlie Marsh built Ruff (an extremely fast Python linter written in Rust) and uv (an extremely fast Python package manager written in Rust) because he believes great tools can have an outsized impact. He believes it so much, in fact, that he started an entire company that builds next-gen Python tooling. On this episode, Charlie joins us to tell us all about it: why Python, why Rust, how they make everything so fast, how they're starting to make money, what other products he's dreaming up, and more.

This week on The Data Stack Show, Alexander Patrushev joins John to share his journey from working on mainframes at IBM to leading AI infrastructure innovation at Nebius, with stops at VMware and AWS along the way. The discussion explores the evolution of AI and cloud infrastructure, the five pillars of successful machine learning projects, and the unique challenges of building and operating modern AI data centers—including energy consumption, cooling, and networking. Alexander also delves into the practicalities of infrastructure as code, the importance of data quality, and offers actionable advice for those looking to break into the AI field. Key takeaways include the need for strong data foundations, thoughtful project selection, and the value of leveraging existing skills and tools to succeed in the rapidly evolving AI landscape. Don't miss this great conversation.Highlights from this week's conversation include:Alexander's Background and Early Career at IBM (1:06)Moving From Mainframes to Virtualization at VMware (4:09)Transitioning to AWS and Machine Learning Projects (8:22)What Was Missed From Mainframes and the Rise of Public Cloud (9:03)Security, Performance, and Economics in Cloud Infrastructure (12:40)The Five Pillars of Successful Machine Learning Projects (15:02)Choosing the Right ML Project: Data, Impact, and Existing Solutions (18:01)Real-World AI and ML Use Cases Across Industries (19:42)Building Specialized AI Clouds Versus Hyperscalers (22:08)Performance, Scalability, and Reliability in AI Infrastructure (25:18)Data Center Energy Consumption and Power Challenges (28:41)Cooling, Networking, and Supporting Systems in AI Data Centers (30:06)Infrastructure as Code and Tooling in AI (31:50)Lowering Complexity for AI Developers and the Role of Abstraction (34:08)Startup Opportunities in the AI Stack (38:53)When to Fine-Tune or Post-Train Foundation Models (43:41)Comparing and Testing Models With Tool Use (47:49)Skills and Advice for Entering the AI Field (49:18)Final Thoughts and Encouragement for AI Newcomers (52:31)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Charlie Marsh built Ruff (an extremely fast Python linter written in Rust) and uv (an extremely fast Python package manager written in Rust) because he believes great tools can have an outsized impact. He believes it so much, in fact, that he started an entire company that builds next-gen Python tooling. On this episode, Charlie joins us to tell us all about it: why Python, why Rust, how they make everything so fast, how they're starting to make money, what other products he's dreaming up, and more.

AI Weekly Rundown From September 21 to September 28th, 2025:

From hurricanes to walk-off field goals, today's trends are more than headlines—they're algorithms making bets on what we'll click next. I'll start with the fact of what happened, then show the AI angle—models that rank, predict, and sometimes mislead. Let's get into it.NFL: Seahawks 23, Cardinals 20 — AP/ESPN recap; walk-off 52-yd FG. MLB: Blue Jays 6, Red Sox 1 — Varsho grand slam; game stories & recap. MLB: Yankees 5, White Sox 3 — remain tied with Toronto. Weather: Humberto strengthening; latest NHC Public & Forecast Advisories. Labor: Canada Post strike (CUPW). Retail: Starbucks closures in US/Canada; restructuring coverage. Spain: Barcelona 3–1 Oviedo — Reuters/AP match reports. Obit: Voddie Baucham passes at 56 — ministry & press reports. Gaming: Ghost of Yōtei — Oct 2 PS5 launch (PlayStation store & blog).

Quinn Slack (CEO) and Thorsten Ball (Amp Dictator) from SourceGraph join the show to talk about Amp Code, how they ship 15x/day with no code reviews, and why subagents and prompt optimizers aren't a promising direction for coding agents. Amp Code: https://ampcode.com/ Latent Space: https://latent.space/ 00:00 Introduction 00:41 Transition from Cody to Amp 03:18 The Importance of Building the Best Coding Agent 06:43 Adapting to a Rapidly Evolving AI Tooling Landscape 09:36 Dogfooding at Sourcegraph 12:35 CLI vs. VS Code Extension 21:08 Positioning Amp in Coding Agent Market 24:10 The Diminishing Importance of Model Selectors 32:39 Tooling vs. Harness 37:19 Common Failure Modes of Coding Agents 47:33 Agent-Friendly Logging and Tooling 52:31 Are Subagents Real? 56:52 New Frameworks and Agent-Integrated Developer Tools 1:00:25 How Agents Are Encouraging Codebase and Workflow Changes 1:03:13 Evolving Outer Loop Tasks 1:07:09 Version Control and Merge Conflicts in an AI-First World 1:10:36 Rise of User-Generated Enterprise Software 1:14:39 Empowering Technical Leaders with AI 1:17:11 Evaluating Product Without Traditional Evals 1:20:58 Hiring

AI Daily Rundown: September 25, 2025: Your daily briefing on the real world business impact of AI

AI Daily Rundown: September 24, 2025: Your daily briefing on the real world business impact of AIListen at https://podcasts.apple.com/us/podcast/ai-tech-daily-news-rundown-microsoft-is-building-an/id1684415169?i=1000728287736

AI Daily Rundown: September 22, 2025: Your daily briefing on the real world business impact of AIHello AI Unraveled listeners, and welcome to today's news where we cut through the hype to find the real-world business impact of AI.Listen at https://podcasts.apple.com/us/podcast/ai-tech-daily-news-rundown-google-deepmind-updates/id1684415169?i=1000727967942Today's Headlines:

AI Daily Rundown: September 23, 2025: Your daily briefing on the real world business impact of AIListen at https://podcasts.apple.com/us/podcast/ai-tech-daily-news-rundown-nvidia-to-invest-%24100-billion/id1684415169?i=1000728119998

Topics covered in this episode: * pandas is getting pd.col expressions* * Cline, At-Cost Agentic IDE Tooling* * uv cheatsheet* Ducky Network UI Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: pandas is getting pd.col expressions Marco Gorelli Next release of Pandas will have pd.col(), inspired by some of the other frameworks I'm guessing Pandas 2.3.3? or 2.4.0? or 3.0.0? (depending on which version they bump?) “The output of pd.col is called an expression. You can think of it as a delayed column - it only produces a result once it's evaluated inside a dataframe context.” It replaces many contexts where lambda expressions were used Michael #2: Cline, At-Cost Agentic IDE Tooling Free and open-source Probably supports your IDE (if your IDE isn't a terminal) VS Code VS Code Insiders Cursor Windsurf JetBrains IDEs (including PyCharm) You pick plan or act (very important) It shows you the price as the AI works, per request, right in the UI Brian #3: uv cheatsheet Rodgrigo at mathspp.com Nice compact cheat sheet of commands for Creating projects Managing dependencies Lifecycle stuff like build, publish, bumping version uv tool (uvx) commands working with scripts Installing and updating Python versions plus venv, pip, format, help and update Michael #4: Ducky Network UI Ducky is a powerful, open-source, all-in-one desktop application built with Python and PySide6. It is designed to be the perfect companion for network engineers, students, and tech enthusiasts, combining several essential utilities into a single, intuitive graphical interface. Features Multi-Protocol Terminal: Connect via SSH, Telnet, and Serial (COM) in a modern, tabbed interface. SNMP Topology Mapper: Automatically discover your network with a ping and SNMP sweep. See a graphical map of your devices, color-coded by type, and click to view detailed information. Network Diagnostics: A full suite of tools including a Subnet Calculator, Network Monitor (Ping, Traceroute), and a multi-threaded Port Scanner. Security Toolkit: Look up CVEs from the NIST database, check password strength, and calculate file hashes (MD5, SHA1, SHA256, SHA512). Rich-Text Notepad: Keep notes and reminders in a dockable widget with formatting tools and auto-save. Customizable UI: Switch between a sleek dark theme and a clean light theme. Customize terminal colors and fonts to your liking. Extras Brian: Where are the cool kids hosting static sites these days? Moving from Netlify to Cloudflare Pages - Will Vincent from Feb 2024 Traffic is a concern now for even low-ish traffic sites since so many bots are out there Netlify free plan is less than 30 GB/mo allowed (grandfathered plans are 100 GB/mo) GH Pages have a soft limit of 100 GB/mo Cloudflare pages says unlimited Michael: PyCon Brazil needs some help with reduced funding from the PSF Get a ticket to donate for a student to attend (at the button of the buy ticket checkout dialog) I upgraded to macOS Tahoe Loving it so far. Only issue I've seen so far has been with alt-tab for macOS Joke: Hiring in 2025 vs 2021 2021: “Do you have an in-house kombucha sommelier?” “Let's talk about pets, are you donkey-friendly?”, “Oh you think this is a joke?” 2025: “Round 8/7” “Out of 12,000 resumes, the AI picked yours” “Binary tree? Build me a foundational model!” “Healthcare? What, you want to live forever?”

AI Weekly Rundown: September 13 to September 20th, 2025

Creating 3D assets can be daunting, but does it have to be? Mahima and Rakesh are on a quest to democratize 3D content creation with AssetGen, a foundation model for 3D. They discuss the challenges of training such a model given the scarcity of available data and how large language models have unlocked key solutions. As if that weren't enough, they're also tackling the ambitious goal of generating entire worlds from a simple prompt. Tune in to learn more! Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host Pascal (https://mastodon.social/@passy, https://threads.net/@passy_, @passy.bsky.social). Fancy working with us? Check out https://www.metacareers.com/. Links Horizon Worlds Desktop Editor: https://developers.meta.com/horizon-worlds/advanced-tools  Horizon Worlds Studio: https://developers.meta.com/horizon-worlds/studio/application Meta Ray-Ban Display: https://www.meta.com/gb/ai-glasses/meta-ray-ban-display/  MTP 77 - How to build a human-computer interface for everyone: https://engineering.fb.com/2025/08/04/virtual-reality/building-a-human-computer-interface-for-everyone-meta-tech-podcast/  Timestamps Intro 0:06 Introduction Mahima 1:39 Introduction Rakesh 2:57 Team mission 3:26 Why is 3D content hard to create? 5:15 The Metaverse 7:49 Tooling vision in Horizon Worlds 10:31 AssetGen Architecture 15:27 Consolidating models 18:25 From assets to worlds 19:22 Time to generate 24:46 Feedback loop 26:41 What's the market for AssetGen 29:49 What's available today? 31:26 What's next? 32:11 Outro 35:24

AI Daily Rundown: September 19th, 2025: Your daily briefing on the real world business impact of AIHello AI Unraveled listeners, and welcome to today's news where we cut through the hype to find the real-world business impact of AI.Today's Headlines:

This episode and sources present an overview of the mobile AI landscape in 2025, highlighting a fundamental shift towards on-device intelligence driven by advanced hardware like Neural Processing Units (NPUs). They explore the divergent strategies of Google and Apple, with Google pursuing a cloud-augmented, ubiquitous AI and Apple prioritising privacy-first, on-device intelligence.

Razor Tooling is evolving! Carl and Richard talk to David Wengier about the changes coming for Razor Pages in the next version of Visual Studio. David talks about the realization that much of the new work in Razor ties closely to Roslyn, which has resulted in a new co-hosting model that means higher performance and reliability for your web pages! The conversation delves into how capabilities in Visual Studio Code are shared with Visual Studio and vice versa, as well as the role of the Language Service Protocol in making it easier to bring more powerful tools to you.

Razor Tooling is evolving! Carl and Richard talk to David Wengier about the changes coming for Razor Pages in the next version of Visual Studio. David talks about the realization that much of the new work in Razor ties closely to Roslyn, which has resulted in a new co-hosting model that means higher performance and reliability for your web pages! The conversation delves into how capabilities in Visual Studio Code are shared with Visual Studio and vice versa, as well as the role of the Language Service Protocol in making it easier to bring more powerful tools to you.

Alexander Lichter joins the podcast to talk about Rolldown, a bundler built in Rust by Void Zero that aims to replace Rollup and ESBuild with faster builds and better enterprise scalability. He dives into the power of OXC and Oxlint, the push toward a unified JavaScript toolchain, and previews what to expect at ViteConf 2024. Links X: https://x.com/TheAlexLichter Website: https://www.lichter.io Mastodon: https://hachyderm.io/@manniL GitHub: https://github.com/manniL YouTube: https://www.youtube.com/@TheAlexLichter Twitch: https://www.twitch.tv/TheAlexLichter LinkedIn: https://www.linkedin.com/in/alexanderlichter Resources Rolldown: How Vite Bundles at the Speed of Rust: https://squiggleconf.com/2025/sessions#rolldown-how-vite-bundles-at-the-speed-of-rust Rolldown: https://rolldown.rs Rolldown-vite migration: https://vite.dev/guide/rolldown Oxlint Type Aware linting (preview) announcement: https://oxc.rs/blog/2025-08-17-oxlint-type-aware.html ViteConf: https://viteconf.amsterda Benchmarks: Minifier: https://github.com/privatenumber/minification-benchmarks Linter: https://github.com/oxc-project/bench-javascript-linter Parser: https://github.com/oxc-project/bench-javascript-parser-written-in-rust Transformer: https://github.com/oxc-project/bench-transformer/ Bundler: https://github.com/rolldown/benchmarks Chapters We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Alexander Lichter.

Willard and Dibs continue to debate if the 49ers are closer to a Super Bowl or to a complete re-tooling and discuss where Brock Purdy fits into this whole equation.

Web development is constantly evolving, and so are the tools we use to build. In this episode, Amy and Brad chat with the organizers of Squiggle Conf about the future of web dev tooling, how conferences shape the developer experience, and why community matters just as much as code.Chapters0:00 - Intro0:34 - Meet the Guests: Squiggle Conf OrganizersSquiggle Conf1:19 - What Makes Squiggle Conf Unique3:19 - Tooling and Developer Experience3:30 - Penguins, IMAX, and the Conference Venue4:18 - Who Should Attend Squiggle Conf5:31 - How Talks Are Selected and Curated6:51 - Social and Community Aspects of the Conference12:19 - Behind the Scenes of Organizing a Conference17:46 - Lessons Learned from Running Events23:30 - The Role of Tooling in Modern Development27:21 - Browser-Based Tools and Their Impact28:51 - Shoutout to Astro and Other FrameworksAstroStarlight - Astro's template for documentation33:51 - Comparing Different Conference Experiences38:55 - Building Momentum in the Developer Community40:45 - Looking Ahead: The Future of Squiggle Conf42:02 - Final Thoughts from the Organizers43:43 - Picks and PlugsAre the Types Wrong? — a package & CLI tool by Andrew Branch from the TypeScript teamThe Harry Potter movie seriesCloudflareOne Switch - Mac Menu Bar AppRedwoodSDK

Episode 289: Adrian is joined again by our head of New Product Development, Paul Adams, to explore the complexity of plastic injection mold tooling and what it takes to go from tooling design to mass production of plastic parts. They explore the full journey, from DFM and tool design through trial runs (T0, T1, T2) to final sign-off and mass production. Along the way, they highlight common pitfalls, golden samples, and why rushing into production can be a costly mistake. You'll love this episode if you're developing plastic products, as it will help you to avoid surprises and manage expectations in the new product introduction (NPI) process.   Episode Sections: (00:00:03) Introduction to episode 289 (00:00:13) Adrian welcomes back Paul Adams (00:00:35) Today's topic: plastic injection mold tooling and its complexity (00:01:11) From DFM to mass production – the journey explained (00:02:01) Why tooling is expensive and misunderstood (00:02:48) The role of DFM (Design for Manufacturing) in tooling (00:05:13) Customer involvement and asking the right questions (00:05:19) Tooling design: bolster set vs. core and cavity (00:06:21) Material procurement and standard vs. custom components (00:09:01) Machining the tool: CNC, EDM, wire cutting, polishing (00:11:12) Metal safe condition and first fitting (00:11:59) The T0 trial run explained (00:13:42) First look at molded parts and making big adjustments (00:15:09) The T1 trial run with virgin polymer (00:15:57) Inspection reports and customer sign-off (00:18:00) Surface texturing between T1 and T2 (00:18:14) T2 trial – final tuning and sign-off preparation (00:19:02) Phase gates link: tooling to mass production (00:20:19) Golden samples and color consistency checks (00:22:02) Why being on the ground in China helps with sign-off (00:23:23) Limit samples and customer approval process (00:23:55) The importance of T0–T2 for expectation management (00:24:58) Why not to rush into mass production (00:25:02) Links to prototypes and phase gate methodology (00:26:05) Don't sign off tooling until everything is consistent (00:26:59) Moving into mass production and ongoing monitoring (00:28:28) Tool lifespan and long-term considerations (00:28:48) Wrapping up: intricacies of tooling complexity (00:29:16) Sofeast NPI guide and related video resources (00:30:16) Looking ahead: polymers and material selection (00:30:45) Closing remarks and call to action   Related content... How We Work With You On New Product Development & Manufacturing Projects - Agilian NPI Process Tooling Management for Plastic Injection Molds in China 7 Key NPI Tasks Before Production The Conundrum of Investing in Tooling Before a Final Prototype Inside the Tooling: Common Plastic Injection Mold Components Explained Understanding Plastic Injection Mold Tooling Complexity, from DFM to T1, When Manufacturing in China (Video) Get in touch with us Connect with us on LinkedIn Contact us via Sofeast's contact page Subscribe to our YouTube channel Prefer Facebook? Check us out on FB

In this episode, Jenna interviews Anant Bhardwaj, CEO and founder of Instabase, about what factors to consider before purchasing an AI tool.They discuss:Why it's important to start with the problem you have and work backwardsMaking sure agentic AI fits in with the rest of the existing systemsPlanning for long-term use

Inventory and materials management may not sound glamorous, but for us—and for any thriving shop—it's the difference between healthy cashflow and a financial chokehold. In this Machine Shop MBA conversation, we break down how smart inventory practices—both physical and digital—can free up space, cut costs, and improve delivery performance. From raw materials and finished goods to WIP and cutting tools, we share the financial, operational, and workflow implications of what you keep on the shelf (and what you shouldn't). You'll hear real-world examples of vendor-managed material programs, strategies for keeping traceability without burying yourself in admin work, and ways we've turned “dead” stock into real cash. We also dig into why inventory accuracy matters beyond just making parts—touching on tax implications, property valuations, and how inventory missteps can kill the value of your business in a sale. And if you've ever lost hours hunting for the right cutter or fixture, our storage and tracking advice might change the way you think about tooling forever. This episode isn't about counting nuts and bolts—it's about building an inventory strategy that supports your cashflow, your team's efficiency, and your long-term profitability. Segments (0:24) Paperless Parts: Quoting made simple, profitable, and powerful (3:09) Why inventory is “sneaky important” for cashflow, workflow, and profitability (4:00) Common categories: raw materials, finished goods, consumables, and workholding (6:30) “Part stock” vs. catalogued vs hybrid strategies (7:58) Calculating the real cost of capital when buying material in bulk (10:45) Consolidating material sizes to reduce stock complexity (13:07) Physical storage, traceability, and avoiding costly scrap from lost certs (15:07) Labeling and marking best practices—from PO numbers to color codes (19:05) Storage layouts that save space and speed up retrieval (22:28) FIFO, LIFO, and how inventory accounting can impact your taxes (24:07) Why you need to check out the SMW Autoblok Catalogue  (24:50) Why WIP can matter for accurate financials and business valuation (29:24) Cycle counting vs. painful year-end full inventory counts (33:26) Real-world wins from knowing exactly what's on your shelves (36:10) Avoiding the trap of overbuilding and obsolete finished goods (39:09) Using contracts and order commitments to protect yourself from rev changes (42:02) Inventory strategies for cutting tools—your most critical shop consumable (45:11) The value of having the right tool at the right time vs. lowest cost (49:45) Why random storage beats “organized” by type for cutting tools (52:19) Fixture storage, location tracking, and purging rarely used setups (54:39) How reviewing inventory can generate sales and free up cash (57:35) Key takeaways for building a smart, profitable inventory strategy  (58:42) Grow your top and bottom line with CLA Resources mentioned on this episode Tooling and the Demon of Chaos Unlocking Tax Savings: Essential Strategies You Can Implement Immediately Paperless Parts: Quoting made simple, profitable, and powerful Why you need to check out the SMW Autoblok Catalogue  Grow your top and bottom line with CLA Connect With MakingChips www.MakingChips.com On Facebook On LinkedIn On Instagram On Twitter On YouTube

In this episode, Jason, Wesley, and Mary share some of our favorite tools of the trade—from live streaming setups and demo-building tricks to the software and hardware we rely on for recording videos and tracking metrics. Join us for a practical, behind-the-scenes look at the gear and workflows that help us connect with developers and communities every day. Categories Building & Managing Websites Hugo (https://gohugo.io/) Astro (https://astro.build/) Form Bricks (https://formbricks.com/) Local Recall (https://github.com/mudler/LocalRecall) SquareSpace (https://www.squarespace.com/) Eleventy (https://www.11ty.dev/) Data, metrics, and knowledge sharing Airtable (https://airtable.com/) Common Room (https://www.commonroom.io/) Metabase (https://www.metabase.com/) Scheduling meetings Cal.com (https://cal.com/) Fantastical (https://flexibits.com/fantastical) LiveStreaming & video recording and editing Streamyard (https://streamyard.com/) Riverside.fm (http://riverside.fm/) OBS (https://obsproject.com/) OpenShot (https://www.openshot.org/) Audacity (https://www.audacityteam.org/) VLC (https://www.videolan.org/vlc/) Descript (https://www.descript.com/) Otter Meeting Agent - AI Notetaker, Transcription, Insights (http://otter.ai/) Automation tools n8n (https://n8n.io/) Zapier (https://zapier.com/) IFTTT (https://ifttt.com/) Forums Slack (https://slack.com/) Discourse (https://www.discourse.org/) Podcast hosting Fireside (https://fireside.fm/) Building demos Claude Code (https://chat.chatbot.app/claude?utm_source=GoogleAds&utm_medium=cpc&utm_campaign={campaign}&utm_id=22665042439&utm_term=180325682866&utm_content=767386553008&gad_source=1&gad_campaignid=22665042439&gbraid=0AAAAA_a6ETtwr7jtRKa-4KqypAZlQydKF&gclid=CjwKCAjw49vEBhAVEiwADnMbbDl9w_QW525TCw1W56_NGJOqgGOZDKJopNiYSH_pc_yRGVDpUoZ1CxoCL1UQAvD_BwE) Lovable (https://lovable.dev/?via=promo80&via=promo80&gad_source=1) Cursor (https://cursor.com/en) LocalAI (https://localai.io/) Enjoy the podcast? Please take a few moments to leave us a review on iTunes (https://itunes.apple.com/us/podcast/community-pulse/id1218368182?mt=2) and follow us on Spotify (https://open.spotify.com/show/3I7g5W9fMSgpWu38zZMjet?si=eb528c7de12b4d7a&nd=1&dlsi=b0c85248dabc48ce), or leave a review on one of the other many podcasting sites that we're on! Your support means a lot to us and helps us continue to produce episodes every month. Like all things Community, this too takes a village. Photo by Todd Quackenbush on Unsplash.

Charlie Marsh returns to Pybites to introduce ty —Astral's bold new take on Python type checking. Built from the ground up for speed and developer experience, ty is both a command-line tool and language server, powered by Rust's Salsa framework. We dive into how it enables lightning-fast incremental analysis, smarter diagnostics inspired by Rust, and a reimagined type-checking workflow for modern Python projects. Charlie also shares how Astral is tackling broader ecosystem challenges alongside Meta and NVIDIA. Curious? Just run 'uv x ty' and join the future of Python type checking. For more info reach out to Charlie on socials:Notes & Blog Posts: https://notes.crmarsh.com/LinkedIn: https://www.linkedin.com/in/marshcharles/GitHub: https://github.com/charliermarshX: https://x.com/charliermarsh___

Rob and Jeremy took some time from Thursday's BBMS to discuss the idea that the O's are re-tooling rather than re-building. If they start trading guys like Rutschman and Holliday, then should we call it a re-build?

In this episode Bill Kennedy and Kenneth Stott discuss the evolving role of AI in organizations, emphasizing the importance of human intelligence in leveraging AI tools effectively. They explore the challenges and opportunities presented by generative AI, the need for a structured data language within organizations, and the ethical considerations surrounding AI insights. Ken shares insights from his upcoming book on redefining organizational intelligence in the age of AI, highlighting strategies for effective human-AI collaboration.00:00 Introduction2:45 AI and Organizational Behavior5:30 Limitations of Generative AI11:00 Learning the AI Tooling15:00 Using AI Tools for Code20:00 Business Decisions / Analytics25:00 Trusting AI Insights 36:00 What is an AI Agent43:00 Future of Organizational Intelligence Connect with  Kenneth: Linkedin: https://www.linkedin.com/in/kenstott/Mentioned in this Episode:Hasura: https://hasura.io/Cursor: https://cursor.com/Claude: https://www.anthropic.com/claude-codeWant more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

I am in conversation with Tom Elliott, founder of Ocuroot and former Engineering Productivity lead at Yext, Introduction:Tom Elliott shares his career journey, starting from his early interest in computers to his current role in Dev tooling .Career Insights:Tom discusses the challenges of entering the industry during the financial crash and his transition from contract work to a full-time role at VMware .He highlights his experience at VMware, working on early-stage projects like building login pages and authentication systems .Shift to New York:Tom talks about his move to New York and his work at a small VPN startup, focusing on user-facing applications .Experience at Yext:Tom shares his journey at Yext, starting as a mobile developer and gradually moving to backend development and Dev tooling .He emphasizes the importance of being close to the users and getting immediate feedback on the tools he built .Challenges and Solutions:Tom discusses the challenges of working in large organizations, such as resolving merge conflicts and managing long-lived branches .He explains the benefits of trunk-based development and feature flags for managing multiple features and environments .Observability and Deployment:Tom highlights the importance of observability and the use of tools like open telemetry for distributed tracing .He shares insights on managing different deployment environments and ensuring consistency across regions .Quality and CI/CD Pipelines:Tom talks about the emphasis on quality and the importance of CI/CD pipelines in ensuring reliable software releases .He shares his experience of setting up CI/CD pipelines to avoid issues like broken installers .Conclusion:Tom reflects on the importance of flexibility and prototyping in software development .He shares his thoughts on the future of AI in coding and the role of human operators in leveraging AI tools .Bio:During nearly 20 years in the tech industry, Tom has worked for companies large and small on both sides of the pond and all layers of the tech stack from user-facing mobile and desktop applications to the backest of backends: DevOps. He is currently building Ocuroot, his own take on a CI/CD solution, based on his experiences scaling large numbers of environments for B2B SaaS products.Links: * LinkedIn: https://www.linkedin.com/in/telliott1984/ * BlueSky: https://bsky.app/profile/telliott.me* Blog: https://thefridaydeploy.substack.com/* Ocuroot: https://www.ocuroot.com

In this episode, Dave and Jamison answer these questions: I'm a long time listener to the podcast. Thanks for reading and answering my question! I have over 20+ yrs experience as a manual QA and 6+ yrs experience as a SDET. I'm in a new role as a hybrid manual QA / SDET for a company that hasn't had QA for a few years. After a couple of months a new hire was added to support a new project in non-development or QA tasks. While waiting for the launch of the new project, senior leadership decided to have this new hire to help me with QA. They have no experience in QA or coding. I spent a considerable amount of time training them, and found it difficult. After a few months my manager told me the hire will transition to lead QA. They will NOT be my supervisor or manager. I will be answering directly to the manager as before. I feel sidelined since I didn't get hired on as a Sr. or Lead role. I've already been left out of numerous meetings catered to team leads only. The new hire is very vocal in meetings. They repeat my ideas as their own, and speak for me when I don't agree. It's exhausting to hold back ideas from the new hire or correct them and add context to the rest of the team when I disagree. I'm worried I'm training this new QA lead to be my replacement. What are your thoughts? I feel like the company culture is chaotic for the long term. Any thoughts what I should do in the short term and long term? Hi Dave and Jamison (as a unit would you answer to Davison?). Long time listener, first time caller. I recently joined a data-engineering team at chill 90s multi-national tech company. My boss and I are based in the UK, and two more junior engineers who do the bulk of the IC work are based in India. These two engineers seem to work hard, have far more domain knowledge and technical ability than me, and generally seem to do most of the work. There's also a senior engineer who's kind of absent. My boss is a ‘red personality' who's been at the org for at least a decade, who doesn't seem as close to the technical detail. He cares about the destination and wants to get there yesterday, but discussions about ‘ways of working' or the specifics of achieving the output seem to bore him. He characterizes such talk as risk-aversion. I'm shocked by some of the technical details. Tooling chosen specifically to bypass version control, editing Jupyter Notebooks to deploy changes to ‘production', dashboards that seem to have totally wrong data, etc. It seems like they will do the minimum required to make things ‘work' and then move on. Scalability or making things interpret-able for others just doesn't seem to weigh on their mind. It's then me as the new-joiner navigating their hacky code who inevitably wanders into all the pitfalls and gotchas. I've tried to advocate for better practices and lead by example. They nod along, but ultimately seem resistant to change. I need their help and experience with the codebase, but I also have this creeping sense that their working style is too sloppy and unprofessional. They don't report to me, and our mutual boss seems happy with the work. I feel a bit like the guy in Twilight Zone: I can see a gremlin wrecking the plane, but nobody else can see it, and my attempts to address the situation just seem a bit hysterical. What's worse, my gentle attempts at flagging the issues with my boss haven't gone down well. In my first performance review my boss mentioned something about a ‘us versus them attitude' and ‘assuming good intent'. What do you make of this situation? Am I the a-hole? Have you faced this sort of thing in the past? Is it time to consider old-reliable? Is 4 months too soon to quit a job?

Disaster Recovery with ZFS: A Practical Guide, The best interfaces we never built, Choose Tools That Make You Happy, open source has turned into two worlds, TrueNAS CORE is Dead – Long Live zVault, You should start a computer club in the place that you live, and more NOTES This episode of BSDNow is brought to you by Tarsnap (https://www.tarsnap.com/bsdnow) and the BSDNow Patreon (https://www.patreon.com/bsdnow) Headlines Disaster Recovery with ZFS: A Practical Guide (https://klarasystems.com/articles/disaster-recovery-with-zfs-practical-guide/?utm_source=BSD%20Now&utm_medium=Podcast) The best interfaces we never built (https://www.chrbutler.com/the-best-interfaces-we-never-built) News Roundup You Can Choose Tools That Make You Happy (https://borretti.me/article/you-can-choose-tools-that-make-you-happy) I feel open source has turned into two worlds (https://utcc.utoronto.ca/~cks/space/blog/tech/OpenSourceTwoWorlds) UPDATE 2 – TrueNAS CORE is Dead – Long Live zVault (https://vermaden.wordpress.com/2024/04/20/truenas-core-versus-truenas-scale/#truenas-core-dead-long-live-zvault) You should start a computer club in the place that you live (https://startacomputer.club) Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions Brad - syslogng issue (https://github.com/BSDNow/bsdnow.tv/blob/master/episodes/618/feedback/Brad%20-%20syslogng%20issue.md) Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv (mailto:feedback@bsdnow.tv) Join us and other BSD Fans in our BSD Now Telegram channel (https://t.me/bsdnow)

Jason Murphy´s NXC MFG (Next Chapter Manufacturing) is not a generalist service; instead, the company specializes in making tooling. Using LPBF and binder jet, the company produces some of the most complex, high-performance tooling worldwide. Jason talks to us about conformal cooling and when companies turn to Additive for their tooling needs. We also talk about manufacturing in America and workforce development. Jason is a Master Molder with extensive experience in the molding industry. So, Additive is a problem solver for him. His LPBF machines of choice will surprise you, and I think that his methods and vision for creating a business should be an inspiration for many more to develop similar businesses in other verticals.

The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

How do you build a DePIN network with 2.7M+ devices, zero CAC, and data streams optimized for AI—without draining batteries or compromising user trust?In this episode of The Index, Alex Kehaya sits down with Jesse Adams, serial entrepreneur and co-founder of Uprock, to unpack how they're building the world's first mobile-first DePIN for AI.Jesse's journey spans building an adult app store, launching an encrypted browser (Tenta, acquired), and now scaling Uprock—a decentralized physical infrastructure network designed to deliver real-time, geo-distributed data for AI/ML. Instead of relying on always-on proxies, Uprock's task-based architecture wakes mobile devices only when needed, performs lightweight actions (like scraping or uptime checks), and puts them back to sleep—keeping performance high and energy use low.We explore:Why location-specific data is critical for LLMs and autonomous agentsHow Uprock scaled to 2.7M devices with zero paid acquisitionTheir crypto micropayment model for rewarding bandwidth contributionAI-driven dev workflows for code review, QA, and marketing at speedIf you're building in DePIN, Web3 infra, or AI tooling—this convo is packed with ideas from the frontier.

AI coding agents are getting wild. Scott and Wes break down the latest tools that run in the background, write code across multiple steps, and charge you $200 a month to do it. From CLI-based primitives to full-on copilots, this episode covers the next wave of dev tools and what it takes to use them effectively. Show Notes 00:00 Welcome to Syntax! 03:13 Background Agents. 04:26 Appropriate tasks for background agents. 12:46 CLI tooling. 14:17 Claude Code Pricing. 18:20 Approaches to get the most from these tools. 19:56 PRD Documents. Atlasian What's a PRD Document. 20:50 Claude Taskmaster. Langflow. 25:29 Sick Picks & Shameless Plugs. Sick Picks Scott: RingConn. Wes: Dell Projector Shameless Plugs Scott: 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

Developer experience is one of the areas where AI applications are showing significant return on investment, but there are significant hurdles to overcome in both changing established development patterns, as well as integrating AI tooling. Analyst Jean Atelsek and AWS vice president for developer experience Deepak Singh join host Eric Hanselman to explore the current state of AI code assistance and look at where it's headed. Auto-complete, where the next bit of a line of code is filled in for a programmer, has been evolving over a number of years, but the arrival of agents to augment code generation and task automation is being to revolutionize software development. Changing development patterns is hard, but the benefits offer strong incentives to change habits. Where early uses had AI engines generate smaller code snippets that developers integrated, that's changing to having AI tackle full functions that are then reviewed and corrected. Tooling around AI implementations are tailoring they way in which they interact with individual developers, enhancing their experience. Application modernization is an area where AI can shine, as it can assess a massive codebase whose authors are no longer available and provide not only documentation, but also prioritize recoding efforts. It's a task where the hours required for manual assessment can be daunting and error prone. Leveraging AI code generation securely requires that organizations have sufficiently secure development pipelines. Mitigating risks from confabulation and errors in AI generated code is the same process as ought to be in place for human coders, an area where some less mature organizations may have some catching up to do. More S&P Global Content: The 2025 Generative AI Outlook For S&P Global subscribers: Can generative AI modernize legacy code bases? It depends Tech Trend in Focus: Generative AI in programming Generative AI Market Monitor & Forecast Credits: Host/Author: Eric Hanselman Guests: Jean Atelsek, Deepak Singh Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

When will fully autonomous vehicles see widespread adoption? According to Applied Intuition, that future is closer than you may think. Applied Intuition's CEO, Qasar Younis, and CTO, Peter Ludwig, talk with Elad Gil about how now is the best time to both work on self-driving vehicle technology and monetize it. Qasar and Peter discuss the advantages of developing their own OS in-house for their autonomous applications, self-driving technology's potential to drive re-shoring of vehicle manufacturing to the United States, and how best to gauge the bar for safety in autonomous systems. Plus, they explore how self-driving technology may reshape the designs of not only vehicles, but cities themselves. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @qasar | @AppliedInt Chapters: 00:00 Qasar Younis and Peter Ludwig Introduction 01:28 A Primer on Applied Intuition 11:08 Applied Intuition's Customers 12:04 Impact of Chinese Vehicles Manufacturers 15:44 EV Policies in the European Market 20:49 Can Robotics and Automation Re-Shore Vehicle Manufacturing? 21:53 Training Models for Autonomous Vehicles 26:41 Gauging the Bar for Autonomous Vehicles Safety 32:03 Timeline for Large-Scale Autonomous Vehicle Adoption 36:28 Rethinking Urban Design for Autonomous Vehicles 38:47 How Applied Intuition Uses AI for Tooling and OS 42:09 Designing for User Experience 43:31 Applied Intuition's Hiring Strategy 45:01 Conclusion

In this engaging conversation, Bill Kennedy interviews Peter Kelly, VP of Engineering at Tigera, exploring his journey from early experiences with technology to his current role in the tech industry. They discuss the impact of education, sports, and family background on Peter's career path, as well as the challenges faced by young people today in navigating their futures. The conversation also delves into hiring practices and the importance of personal connections in the recruitment process.00:00 Introduction01:00 What is Peter Doing Today?O4:20 First Memory of a Computer9:30 Family Background12:00 Secondary School19:00 Passion for Soccer24:00 Interviewing and Hiring31:00 Entering University 40:30 Work Experience 54:00 AI Tooling 01:07:00 First Go Experience1:14:00 Beginning of Tigera1:37:30 Contact InfoConnect with Peter: Linkedin: https://ie.linkedin.com/in/peterkellyonlineMentioned in this Episode:Tigera: https://www.tigera.io/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

#updateai #customersuccess #saas #businessJosh Schachter, Co-Founder & CEO of UpdateAI, sits down with Carly Van Kirk, Head of CS at AngelList. Carly pulls back the curtain on AngelList's unique approach to supporting emerging and established GPs and shares her journey into this pivotal leadership role amidst rapid company growth and industry transformation. Join us as Carly shares how AngelList is reshaping customer segments, dealing with the challenges of scaling an increasingly complex platform, and balancing high-touch professional services with tech-driven solutions.Timestamps0:00 - Preview1:45 - Overview of AngelList2:35 - COVID-Era Growth & Rolling Fund at AngelList4:12 - Carly's Role, Team Structure & Customer Segmentation at AngelList9:30 - Hunting for a New Job13:20 - Carly's Priorities in Her First 180 Days at AngelList14:45 - Key Challenges and Initiatives Identified14:45 - Automation, Tooling, and Workflow Inefficiencies22:43 - Understanding and Improving Time to Value24:24 - AI's Current and Future Role in AngelList and CS27:36 - Customer Success as a Commercial Center___________________________

Scott and Wes talk about the planning process for a major redesign of the Syntax.fm website. They share their thoughts on organizing tasks, choosing tech, handling styling, and the debates that come with deciding what to keep and what to change. Show Notes 00:00 Welcome to Syntax! 01:36 Brought to you by Sentry.io. 02:48 Why we need version 3.0 of Syntax.fm. Level Up Tutorials, Travis Neilson. 04:41 Project planning and organization. 05:53 The codebase. 09:50 The CSS changes. Episode 770: Design Systems With Brad Frost. 12:27 Tooling. 15:54 Development process. 16:38 Mobile and responsiveness. 18:37 Saving VS Code extension into the repo. 19:56 Using a dev container. 20:53 AI agent rules. 21:35 Code styles. 23:42 Canadian podcast. 24:33 Content storage. 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