Podcasts about UI

Special guest Louie Mantia joins the show to talk about Liquid Glass, the various OS 26 updates, and the worrisome state of Apple's UI design overall. Also: sandwiches.

In the season finale of TechMagic, hosts Cathy Hackl and Lee Kebler unpack the latest tech trends, from Meta's neural interface bracelet and Apple's liquid glass UI redesign to Nintendo Switch 2's record-breaking launch. They're joined by special guest Johanna Salazar, co-founder of FoodStream Network, who shares her mission to build human-centered tech that addresses food insecurity and fosters community. The episode also explores pressing topics, including metadata copyright in AI training, the future of voice communication, and why inclusive, bilingual platforms are crucial in today's global digital ecosystem. With industry insights and bold predictions, Cathy, Lee, and Johanna offer a powerful close to the season and tease what's ahead when the show returns in September.Come for the Tech, stay for the Magic!Johanna Salazar BioJohanna Salazar is a media executive, tech founder, and strategist with over 20 years of experience leading innovation at Viacom, MTV, Paramount, and IMG. She oversaw national production for MLS Season Pass on AppleTV and has built high-performing teams across global media and tech. As Co-Founder of FoodStream Network and Two Goats, she blends emerging tech, content, and community to drive impact. Born in Colombia, Johanna hosts The Media Machine podcast and champions systems that serve people and the planet.Johanna Salazar on LinkedInKey Discussion Topics:00:00 Welcome to TechMagic Season 2 Finale01:30 The Evolution of Tech: From VR to AI's Dominance11:45 Meta's Neural Interface & The Future of Wearable Tech16:35 Nintendo Switch 2: Breaking Sales Records Despite Limited Launch22:15 Interview with Johanna Salazar: From Media to Tech Innovation27:14 The Four Pillars Framework: Profits, Process, People & Planet30:51 FoodStream Network: Building Tech Solutions for Food Security40:25 Apple's Liquid Glass UI: Design Challenges and Vision Pro Connection48:05 AI Fatigue & The Metadata Copyright Question54:49 Looking Ahead: Space Communications & Season 3 Preview56:47 Manhattan Jazz Quintet & Season Finale Sign-off Hosted on Acast. See acast.com/privacy for more information.

Eric, Dave and Marty cover the new VisionOS developer beta 4, productivity and training use, and the best sailing experience you can get on land. What's New in VisionOS 26 Beta 4Build: 23M5300g – Released July 22, 2025 For Vision Pro Users: What You'll Notice in Beta 4• Smoother System Performance – General UI responsiveness is noticeably better—less jitter, quicker animation timing, and improved hand gesture accuracy.• Refined Visual Transitions – Window edges and movement feel more polished. Think glassy transitions with fewer graphical hiccups when opening or resizing apps.• Persistent Layouts – Apps, windows, or objects that you position in your environment now remember where you put them—even after a reboot.• More Natural Gaze Feedback – Interactive elements now subtly highlight when you look at them—menus glow or lift slightly when your gaze hovers, giving you a stronger sense of “touch” with your eyes.For Developers: What's New Under the HoodPersistence API – “Place it once, keep it always”What It Does:Lets developers anchor app content (like windows or widgets) to real-world surfaces that stay in place even after Vision Pro restarts.Compositor Updates – “Visuals That Adapt to You”• Hover Effects with Eye Tracking – As users gaze at buttons or menus, they now subtly highlight. • Dynamic Render Quality – Developers can adjust rendering sharpness or smoothness in real-time, based on user activity. Text and UI stay crisp when you need it. • Better Eye-Tracked Rendering (Foveation) – Vision Pro can now prioritize rendering quality at the center of your gaze, reducing quality around the edges. —————————————————————Apple has Filed for a series of Trademarks covering the Vision Pro Demo Fit App, macOS Tahoe, EnergyKit, 31 Mystery Designs and morehttps://www.patentlyapple.com/2025/07/apple-has-filed-for-a-series-of-trademarks-covering-the-vision-pro-demo-fit-app-macos-tahoe-energykit-31-mystery-designs-a.htmlWhy Apple's Vision Pro Could Redefine Game Mechanics on iOShttps://vocal.media/01/why-apple-s-vision-pro-could-redefine-game-mechanics-on-i-os The Best Apple Vision Pro Alternative You Can Actually Affordhttps://www.oliur.com/the-best-apple-vision-pro-alternative-you-can-actually-afford Blackmagic URSA Cine Immersive test footage for Apple Vision Prohttps://www.fxguide.com/quicktakes/first-look-blackmagic-ursa-cine-immersive-test-footage-for-apple-vision-pro/ How to shut down and restart Apple Vision Prohttps://www.igeeksblog.com/how-to-shut-down-restart-apple-vision-pro/ Digital Twin on Apple Vision Prohttps://www.reddit.com/r/augmentedreality/comments/1m7yl74/digital_twin_on_apple_vision_pro/How Apple Vision Pro Can Give Your Business an Unfair Advantagehttps://forasoft.medium.com/how-apple-vision-pro-can-give-your-business-an-unfair-advantage-f8d800018310 Top Streaming Apps Optimized for visionOS: Elevate Your Apple Vision Pro ExperienceTop Streaming Apps Optimized For VisionOS: Elevate Your Apple Vision Pro Experience - AppleMagazine Mushroom Garden an immersive edutainment experience for children on Apple Vision Pro!https://www.xrom.in/post/mushroom-garden-an-immersive-edutainment-experience-for-children-on-apple-vision-pro https://apps.apple.com/us/app/eduturf-mushroom-garden/id6747197371Digital Twin on Apple Vision Prohttps://www.reddit.com/r/augmentedreality/comments/1m7yl74/digital_twin_on_apple_vision_pro/ APPS SailGP RaceScape XRhttps://apps.apple.com/us/app/sailgp-racescape-xr/id6742781005 SailGP Launches First-Ever XR Experience in Sailing: RaceScape XR for Apple Vision Prohttps://www.sportsvideo.org/2025/07/28/sailgp-launches-first-ever-xr-experience-in-sailing-racescape-xr-for-apple-vision-pro/ MacStockMacstockconferenceandexpo.com  Digital Pass https://macstockconferenceandexpo.com/product/macstock-ix-digital-pass/Email: ThePodTalkNetwork@gmail.com Website: ThePodTalk.Net

What's up everyone, today we have the pleasure of sitting down with István Mészáros, Founder and CEO of Mitzu.io. (00:00) - Intro (01:00) - In This Episode (03:39) - How Warehouse Native Analytics Works (06:54) - BI vs Analytics vs Measurement vs Attribution (09:26) - Merging Web and Product Analytics With a Zero-Copy Architecture (14:53) - Feature or New Category? What Warehouse Native Really Means For Marketers (23:23) - How Decoupling Storage and Compute Lowers Analytics Costs (29:11) - How Composable CDPs Work with Lean Data Teams (34:32) - How Seat-Based Pricing Works in Warehouse Native Analytics (40:00) - What a Data Warehouse Does That Your CRM Never Will (42:12) - How AI-Assisted SQL Generation Works Without Breaking Trust (50:55) - How Warehouse Native Analytics Works (52:58) - How To Navigate Founder Burnout While Raising Kids Summary: István built a warehouse-native analytics layer that lets teams define metrics once, query them directly, and skip the messy syncs across five tools trying to guess what “active user” means. Instead of fighting over numbers, teams walk through SQL together, clean up logic, and move faster. One customer dropped their bill from $500K to $1K just by switching to seat-based pricing. István shares how AI helps, but only if you still understand the data underneath. This conversation shows what happens when marketing, product, and data finally work off the same source without second-guessing every report.About IstvánIstvan is the Founder and CEO of Mitzu.io, a warehouse-native product analytics platform built for modern data stacks like Snowflake, Databricks, BigQuery, Redshift, Athena, Postgres, Clickhouse, and Trino. Before launching Mitzu.io in 2023, he spent over a decade leading high-scale data engineering efforts at companies like Shapr3D and Skyscanner. At Shapr3D, he defined the long-term data strategy and built self-serve analytics infrastructure. At Skyscanner, he progressed from building backend systems serving millions of users to leading data engineering and analytics teams. Earlier in his career, he developed real-time diagnostic and control systems for the Large Hadron Collider at CERN. How Warehouse Native Analytics WorksMarketing tools like Mixpanel, Amplitude, and GA4 create their own versions of your customer. Each one captures data slightly differently, labels users in its own format, and forces you to guess how their identity stitching works. The warehouse-native model removes this overhead by putting all customer data into a central location before anything else happens. That means your data warehouse becomes the only source of truth, not just another system to reconcile.István explained the difference in blunt terms. “The data you're using is owned by you,” he said. That includes behavioral events, transactional logs, support tickets, email interactions, and product usage data. When everything lands in one place first (BigQuery, Redshift, Snowflake, Databricks) you get to define the logic. No more retrofitting vendor tools to work with messy exports or waiting for their UI to catch up with your question.In smaller teams, especially B2C startups, the benefits hit early. Without a shared warehouse, you get five tools trying to guess what an active user means. With a warehouse-native setup, you define that metric once and reuse it everywhere. You can query it in SQL, schedule your campaigns off it, and sync it with downstream tools like Customer.io or Braze. That way you can work faster, align across functions, and stop arguing about whose numbers are right.“You do most of the work in the warehouse for all the things you want to do in marketing,” István said. “That includes measurement, attribution, segmentation, everything starts from that central point.”Centralizing your stack also changes how your data team operates. Instead of reacting to reporting issues or chasing down inconsistent UTM strings, they build shared models the whole org can trust. Marketing ops gets reliable metrics, product teams get context, and leadership gets reports that actually match what customers are doing. Nobody wins when your attribution logic lives in a fragile dashboard that breaks every other week.Key takeaway: Warehouse native analytics gives you full control over customer data by letting you define core metrics once in your warehouse and reuse them everywhere else. That way you can avoid double-counting, reduce tool drift, and build a stable foundation that aligns marketing, product, and data teams. Store first, define once, activate wherever you want.BI vs Analytics vs Measurement vs AttributionBusiness intelligence means static dashboards. Not flexible. Not exploratory. Just there, like laminated truth. István described it as the place where the data expert's word becomes law. The dashboards are already built, the metrics are already defined, and any changes require a help ticket. BI exists to make sure everyone sees the same numbers, even if nobody knows exactly how they were calculated.Analytics lives one level below that, and it behaves very differently. It is messy, curious, and closer to the raw data. Analytics splits into two tracks: the version done by data professionals who build robust models with SQL and dbt, and the version done by non-technical teams poking around in self-serve tools. Those non-technical users rarely want to define warehouse logic from scratch. They want fast answers from big datasets without calling in reinforcements.“We used to call what we did self-service BI, because the word analytics didn't resonate,” István said. “But everyone was using it for product and marketing analytics. So we changed the copy.”The difference between analytics and BI has nothing to do with what the tool looks like. It has everything to do with who gets to use it and how. If only one person controls the dashboard, that is BI. If your whole team can dig into campaign performance, break down cohorts, and explore feature usage trends without waiting for data engineering, that is analytics. Attribution, ML, and forecasting live on top of both layers. They depend on the raw data underneath, and they are only useful if the definitions below them hold up.Language often lags behind how tools are actually used. István saw this firsthand. The product stayed the same, but the positioning changed. People used Mitzu for product analytics and marketing performance, so that became the headline. Not because it was a trend, but because that is what users were doing anyway.Key takeaway: BI centralizes truth through fixed dashboards, while analytics creates motion by giving more people access to raw data. When teams treat BI as the source of agreement and analytics as the source of discovery, they stop fighting over metrics and start asking better questions. That way you can maintain trusted dashboards for executive reporting and still empower teams to explore data without filing tickets or waiting days for answers.Merging Web and Product Analytics With a Zero-Copy ArchitectureMost teams trying to replace GA4 end up layering more tools onto the same mess. They drop in Amplitude or Mixpanel for product analytics, keep something else for marketing attribution, and sync everything into a CDP that now needs babysitting. Eventually, they start building one-off pipelines just to feed the same events into six different systems, all chasing slightly different answers to the same question.István sees this fragmentation as a byproduct of treating product and marketing analytics as separate functions. In categorie...

EPISODE SYNOPSIS:The team are looking forwards to some downtime and going to see their contact Hazel in her MMA match when they get a call from Marty. Looks like tonight isn't going to plan. OUR LIVING CAMPAIGN MAPOUR SOCIAL MEDIA LINKS: EDITED BY:Rhydian Jones ARTWORK BY:Fnic SUBMITTING LOCATIONS AND DISTRICTS FORNEW YORK 2072 MAP:Any Submissions for new lore for existing districts or new locations, gangs or anything similar can be sent to b.team.shadowrun@gmail.com, with the subject “New Map Lore” or alternatively submitted to the dedicated channel on our discord found at: https://discord.com/invite/QB4FwXvrC4⁠  MUSIC CREDITS:Intro - More Human Than Human by Karl Casey @Whitebat AudioOutro – Neon Thrills by LukHashBackground Music by Kharl Casey,Tabletop Audio & Aim to Head SOUND EFFECTS CREDITS:All Sounds from freesound.org unless otherwise noted.CREATOR - FILE NAMEbainmack - Punk_Rock_Short31.wavjodybruchon - cell phone answer chirp.wavTRP - Cell phone beep (2012).wavlartti - Coffee machine.wavmadcowzack - TEXT TYPE SEND RECEIVE iPhone.wavSparrer - crash.wavricexzeeb - Sloshing.wavbruno.auzet - impacts.wavNoahBangs - Magic FlutterInspectorJ - Door, Front, Opening, A.wavissalcake - Chairs Break, Crash, pieces move.wav000600 - BodyFall.wavWeakWero - Door closed_1Robinhood76 - 10661 bonus correct answer.wavMATRIXXX_ - SciFi Inspect Sound, UI, or In-Game Notification 01.wavfelix.blume - Hit on a punching bag with chainswubitog - Steam/hissmattlohkamp - sfx_heavy door.wavTycoh - OfficeHolePuncher.wavclubmydia+ - Drone takeoffPDKK - Levitating FXWricken - finger_snap1.wavFiveBrosStopMosYT - Table Smash 1courtneyeck - Falling body hits the floorGaryQ - Skyrim HealingJakLocke - Bullets dropping to floor 2SoundsExciting - ClatterSoundsForHim - Slam door.MP3Yudena - Magic_byMondfisch89.oggNakhas - Cat -sharpening claws, shaking headRutgerMuller - car electrical window 3 button opens or closes.wavkyles - auto car pull up on gravel, door open close, trunk open close various.flacMATRIXXX_ - Radar, Something Detected, 60 Sec.wavycbcr - Tabletop clock ticking, speed ramp down (followup)AlienXXX - Data.wavMATRIXXX_ - Bank, Laser Patrol.wavjaegrover - Electronic, Computer, Hard Drive - 1990s Compaq Hard Drive, Spooling Up, Turning Off - Close Perspective Memory Access Noise.wav

# SummaryIn this conversation, Tim Abell and David Sheardown explore the challenges and innovations in productivity tools and AI coding assistants and the overwhelming landscape of AI tools available for software development.The dialogue delves into the nuances of using AI in coding, the potential of multi-agent systems, and the importance of context in achieving optimal results.They also touch on the future of AI in automation and the implications of emerging technologies.# TakeawaysAI is reshaping the workplace, requiring adaptation from professionals.Understanding engineering problems requires a structured approach.AI coding tools are rapidly evolving and can enhance productivity.Providing clear context improves AI coding results.Multi-agent systems can coordinate tasks effectively.The landscape of AI tools is overwhelming but offers opportunities.Understanding the limitations of AI tools is crucial for effective use.Innovations in AI are making automation more accessible.It's important to balance AI use with traditional coding skills.The future of AI in software development is promising but requires careful navigation.# Full detailsIn this episode of Software Should Be Free, Tim Abell and David Sheardown delve into the rapidly evolving landscape of AI-powered coding assistants. They share hands-on experiences with various AI coding tools and models, discuss best practices (like providing clear project context vs. “vibe coding”), and outline a mental model to categorize these tools. Below are key highlights with timestamps, followed by a comprehensive list of resources mentioned.Episode Highlights00:05 – Introduction: Tim expresses feeling overwhelmed by the proliferation of AI coding tools. As a tech lead and coder, he's been trying to keep up with the hype versus reality. The discussion is set to compare notes on different tools they've each tried and to map out the current AI coding assistant landscape.01:50 – Tools Tried and Initial Impressions: David shares his journey starting with Microsoft-centric tools. His go-to has been GitHub Copilot (integrated in VS Code/Visual Studio), which now leverages various models (including OpenAI and Anthropic). He has also experimented with several alternatives: Claude Code (Anthropic's CLI agentic coder), OpenAI's Codex CLI (an official terminal-based coding agent by OpenAI), Google's Gemini CLI (an open-source command-line AI agent giving access to Google's Gemini model), and Manus (a recently introduced autonomous AI coding agent). These tools all aim to boost developer productivity, but results have been mixed – for example, Tim tried the Windsurf editor (an AI-powered IDE) using an Anthropic Claude model (“Claude 3.5 Sonnet”) and found it useful but “nowhere near 10×” productivity improvement as some LinkedIn influencers claimed. The community's take on these tools is highly polarized, with skeptics calling it hype and enthusiasts claiming dramatic gains.04:39 – Importance of Context (Prompt Engineering vs “Vibe Coding”): A major theme is providing clear requirements and context to the AI. David found that all these coding platforms (whether GUI IDE like Windsurf or Cursor, or CLI tools like Claude Code and Codex) allow you to supply custom instructions and project docs (often via Markdown) – essentially like giving the AI a spec. When he attempted building new apps, he had much more success by writing a detailed PRD (Product Requirements Document) and feeding it to the AI assistant. For instance, he gave the same spec (tech stack, features, and constraints) to Claude Code, OpenAI's Codex CLI, and Gemini CLI, and each generated a reasonable project scaffold in minutes. All stuck to the specified frameworks and even obeyed instructions like “don't add extra packages unless approved.” This underscores that if you prompt these tools with structured context (analogous to good old-fashioned requirements documents), they perform markedly better. David mentions that Amazon's new AI IDE, Kiro (introduced recently as a spec-driven development tool) embraces this “context-first” approach – aiming to eliminate one-shot “vibe coding” chaos by having the AI plan from a spec before writing code. He notes that using top-tier models (Anthropic's Claude “Opus 4” was referenced as an example, available only in an expensive plan) can further improve adherence to instructions, but even smaller models do decently if guided well.07:03 – Community Reactions: The conversation touches on the culture around these tools. There's acknowledgment of toxicity in some online discussions – e.g. seasoned engineers scoffing at newcomers using AI (“non-engineers” doing vibe coding). Tim and David distance themselves from gatekeeping attitudes; their stance is that anyone interested in the tech should be encouraged, while just being mindful of pitfalls (like code quality, security, or privacy issues when using AI). They see value in exploring all levels of AI assistance, provided one remains pragmatic about what works and stays cautious about sensitive data.29:57 – Models + 4 Levels of AI Coding Tool: Tim introduces a mental model to frame the AI coding assistant ecosystem (around 29:57). The idea is to separate the foundational models from the tools built on top, and to classify those tools into four levels of increasing capability:Underlying Models: First, there are the core large language models themselves – e.g. OpenAI's GPT-4, Anthropic's Claude (various versions like Claude 1.* and 2, including fast “Sonnet” models and the heavier “Opus” models), Google's Gemini model, as well as open-source local models. These are the engines that power everything else, but interacting with raw models isn't the whole story.Level 1 – Basic Chat Interface: Tools where you interact via a simple chat UI (text in/out) with no direct integration into your coding environment. ChatGPT in the browser, or voice assistants that can produce code snippets on request, fall here. They can write code based on prompts, but you have to copy-paste results – the AI isn't tied into your files or IDE.Level 2 – Agentic IDE/CLI Assistants: Tools that deeply integrate with your development environment, able to edit files and execute commands. This includes AI-augmented IDEs and editors like Windsurf Editor (a standalone AI-native IDE) and Cursor (AI-assisted code editor), as well as command-line agents that can manipulate your project (like the CLI versions of Claude Code, OpenAI Codex, or Gemini CLI). At this level, the AI can read your project files, make changes, create new files, run build/test commands, etc., acting almost like a pair programmer who can use the keyboard and terminal. (For example, Windsurf's “Cascade” agent mode and Cursor's agent mode allow multi-file edits and running shell commands automatically.)Level 3 – Enhanced Context and Memory: Tools or techniques focused on feeding the model more project knowledge and context (sometimes dubbed “context en...

Topics covered in this episode: * Open Source Security work isn't “Special”* * uv v0.8* * Extra, Extra, Extra* Announcing Toad - a universal UI for agentic coding in the terminal 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: Open Source Security work isn't “Special” Seth Larson It seems like security is special in a sense that we don't want just anyone working on the security aspect of a project. We just want the trusted maintainers, right? Seth is arguing that this is the wrong mindset It makes more sense that we maybe have security experts contribute to many projects, and that someone working on security for just one project doesn't benefit from scale. “Maintainers don't see how other projects are triaging vulnerabilities and can't learn from each other. They can't compare notes on what they are seeing and whether they are doing the right thing. Isolation in security work breeds a culture of fear. Fear of doing the wrong thing and making your users unsafe.” “These “security contributors” could be maintainers or contributors of other open source projects that know about security, they could be foundations offering up resources to their ecosystem, or engineers at companies helping their dependency graph.” But how do we build trust in these individuals? Meeting in person works. But there are other ways as well. I'd personally love to have someone contact me about a project of mine regarding a security problem or process that the project could/should follow. Especially if I could see other projects I trust already trusting this individual to work on the other projects. Michael #2: uv v0.8 Changes Install Python executables into a directory on the PATH Register Python versions with the Windows Registry Prompt before removing an existing directory in uv venv Bump --python-platform linux to manylinux_2_28 Make uv_build the default build backend in uv init And many more And uv v0.8.1 Lots of enhancements. And uv v0.8.2 And uv v0.8.3 Adds Add CPython 3.14.0rc1 Brian #3: Extra, Extra, Extra fstrings.wtf - Armin Ronacher Python 3.14 release candidate 1 is go! Django turns 20, with parties mkdocs-redirects I'm Tired of Talking About AI - Paddy Carver Michael #4: Announcing Toad - a universal UI for agentic coding in the terminal by Will McGugan A universal front-end for AI in the terminal. Watch the video. Joke: Heaviest objects in the universe And … Cloud Architects 2025 “They send us our cloud bills in scientific notation… “

Microsoft's CEO of AI seems to think so. Plus, Meta says no to political ads, and Samsung crushes a source of UI leaks.Starring Tom Merritt and Huyen Tue Dao. Show notes found here. Hosted on Acast. See acast.com/privacy for more information.

This week on the show we've got the designer of two of the most iconic and artistic games to hit mobile: Monument Valley and Florence! Ken Wong tells us about how fan art led us to his work on Alice: Madness Returns, designing games with social media UI in mind, and taking (and giving) inspiration from a variety of sources. Plus, music from Bloomfield Machine!LINKS:

Tre ryska ubåtar lyckas pressa sig upp genom den arktiska isen i januari 2021. Det blir en symbolisk styrkedemonstration av Rysslands ökade militära närvaro i Arktis - ett område där nya handelsvägar öppnas upp i takt med att isarna smälter. Nu öppnas en ny del av världen för konkurrens mellan stormakterna. Att tävla om inflytandet över Arktis riskerar att bli en ny konfliktzon, inte bara för Ryssland utan också för USA och Kina.Medverkande: Niklas Granholm, forskningsledare på Totalförsvarets forskningsinstitut, FOI.Patrik Andersson, analytiker vid Nationellt kunskapscentrum om Kina, UI.Programledare och redaktör: Annica Ögren.Det här är den andra delen i en sommarserie av Utrikespolitiska institutets podd Utblick, om framtidens krigföring och några av vår tids största säkerhetspolitiska utmaningar. I luften, i vattnet och i rymden. Hosted on Acast. See acast.com/privacy for more information.

Paul Menant reçoit Antoine Voland-Logerais, Design Manager chez Thiga. Ensemble, ils explorent la place du design dans l'entreprise, la cohabitation product management / product design, la transformation des métiers du design, et les leviers pour donner du poids au design dans un contexte en mutation.

Do Your User Stories End in a Coffee Break? - Mike CohnEver write a user story that the team never finishes?That's a sign you're dealing with an open story—one that doesn't deliver a clear, finished result to the user.Let's fix that. A closed user story is one where the user completes a meaningful goal.Think: “Ah, I finished reviewing resumes. Time for a coffee break.”Contrast that with this story:“As a recruiter, I can manage the job ads I've placed.”That's not closed. Why?Because “manage” never ends. You don't manage something and then say, “Great! That's done forever.”For Here are some red flag words to watch out for: managemaintainadministerconfiguremonitorAs a recruiter, I can review resumes so I can pass good candidates to the hiring manager.I can change the expiration date of an ad to keep it visible—or close it when we're done.I can delete unqualified applications so the team doesn't waste time.I can update ad descriptions to attract better candidates. Each one finishes with something tangible.Closed Stories Let Users Take a Coffee BreakRed Flag Words to WatchThese words signal that your story might be too broad or too vague. How to Close Open StoriesBreak “manage job ads” into stories with meaningful outcomes: Each one earns that coffee break. Why Closed Stories MatterClosed stories avoid misunderstandings. A vague story like “manage ads” might mean running reports to the product owner; the same story might mean UI tweaks to the team. That gap in understanding leads to rework.And yes—open stories have a place as epics early in a project. But when it's time to build, break them down into stories with clear outcomes.That's how teams build clarity—and succeed with agile.How to connect with AgileDad:- [website] https://www.agiledad.com/- [instagram] https://www.instagram.com/agile_coach/- [facebook] https://www.facebook.com/RealAgileDad/- [Linkedin] https://www.linkedin.com/in/leehenson/

In this high-energy episode of MiCannaCast, co-hosts Cannadave and Groovee dig deep into the Best in Grass Competition Moon Rock category, giving their honest and passionate breakdown of infused flower entries — including one standout (or not-so-standout) contender from Fresh Canna. Along the way, the crew shares behind-the-scenes takes from past events (including Michigan Matt's underground sesh), looks ahead to upcoming Michigan cannabis happenings, and talks about the ever-changing landscape of legacy vs. corporate in the cannabis community. Whether you're a cannabis connoisseur, Michigan event hopper, or terp junkie — this one's for you.

Try Fellow's AI Meeting Copilot - 90 days FREE - fellow.app/cooGuest: Lance Willett, Chief Quality Officer at AutomatticTopics Covered:How Automattic's open source culture evolved over 20 yearsWhat a Chief Quality Officer actually does—and why it mattersQuality = Craft × Context, and how that feedback loop scalesAutomattic's AI strategy: support bots, contextual UI, and site generationThe importance of tools like Linear and Storybook in enforcing qualityHow Automattic balances speed, risk, and governance with AI experimentationLessons from stabilizing Tumblr during its post-acquisition rebootPrioritization and the dangers of unbounded optimismLeadership takeaways from working closely with Matt Mullenweg

This week on The Data Stack Show, John chats with Paul Blankley, Founder and CTO of Zenlytic, live from Denver! Paul and John discuss the rapid evolution of AI in business intelligence, highlighting how AI is transforming data analysis and decision-making. Paul also explores the potential of AI as an "employee" that can handle complex analytical tasks, from unstructured data processing to proactive monitoring. Key insights include the increasing capabilities of AI in symbolic tasks like coding, the importance of providing business context to AI models, and the future of BI tools that can flexibly interact with both structured and unstructured data. Paul emphasizes that the next generation of AI tools will move beyond traditional dashboards, offering more intelligent, context-aware insights that can help businesses make more informed decisions. It's an exciting conversation you won't want to miss.Highlights from this week's conversation include:Welcoming Paul Back and Industry Changes (1:03)AI Model Progress and Superhuman Domains (2:01)AI as an Employee: Context and Capabilities (4:04)Model Selection and User Experience (7:37)AI as a McKinsey Consultant: Decision-Making (10:18)Structured vs. Unstructured Data Platforms (12:55)MCP Servers and the Future of BI Interfaces (16:00)Value of UI and Multimodal BI Experiences (18:38)Pitfalls of DIY Data Pipelines and Governance (22:14)Text-to-SQL, Semantic Layers, and Trust (28:10)Democratizing Semantic Models and Personalization (33:22)Inefficiency in Analytics and Analyst Workflows (35:07)Reasoning and Intelligence in Monitoring (37:20)Roadmap: Proactive AI by 2026 (39:53)Limitations of BI Incumbents, Future Outlooks and Parting Thoughts (41:15)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.

Episode 9Tae-moo takes Ha-ri to breakfast and prepares it for her. Yeong-seo complains to Seung-hoon about Tae-moo and his treatment towards Ha-ri.When Kevin and Ui-ji's relationship is discovered, they cause a scene. Ha-ri is caught in the middle and has another bad interaction with Chairman Kang.Ha-ri and Tae-moo go on a date and she proudly introduces him as her boyfriend to the owner. Find us on YouTube, Apple Podcasts and Amazon Music Follow us on Instagram @thekdramashow https://www.instagram.com/thekdramashow/ Email : the kdramashowashandkim@gmail.com Thanks for listening!!!

Join me as I chat with Josh Woodward, VP of Google Labs & Gemini, as he showcases Google's latest AI products and their capabilities. The conversation covers Gemini's advanced features including personalized context integration and video generation, Flow's AI filmmaking capabilities, Notebook LM's research and knowledge exploration tools, Stitch's UI design automation, and Project Mariner's autonomous web task execution. Throughout the demonstration, Josh highlights how these tools can empower both professionals and individuals to create high-quality content and automate tasks. Timestamps: 00:00 - Intro 01:57 - Gemini app features and capabilities 06:53 - Video generation with Gemini 13:53 - Flow AI filmmaking tool demonstration 21:17 - Notebook LM research and knowledge exploration 26:47 - Stitch UI design tool overview 31:04 - Project Mariner autonomous web agent demo Checkout Google's AI Product Suite: https://labs.google Key Points: • Josh Woodward demonstrates five Google AI products: Gemini, Flow, Notebook LM, Stitch, and Project Mariner • Gemini features include scheduled actions, personalized context, and video generation capabilities • Flow is an AI filmmaking tool that allows users to create and edit high-quality videos with simple prompts • Project Mariner enables AI agents to perform web-based tasks autonomously with human oversight 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: http://boringmarketing.com/ The Vibe Marketer - Join the Community and Learn: http://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 JOSH ON SOCIAL X/Twitter: https://x.com/joshwoodward LinkedIn: https://www.linkedin.com/in/joshwoodward/

In this episode of the TestGuild Automation Podcast, I'm joined by Don Jackson, Director of Product Marketing at Perforce, to explore a bold new frontier in automation testing: true agentic AI. We unpack the groundbreaking tech behind Perfecto's latest release and what it means to test smarter, faster, and with zero hassle. Don shares how this new form of automation, powered by natural language, computer vision, and LLMs, lets you test like a human but with the speed of AI. No scripts. No frameworks. No brittle locators. Just plain-language instructions that drive real user-experience testing at runtime. You'll learn: What "agentic AI" really means and how it goes beyond traditional test automation How to run intelligent UI tests across devices without writing a single script Why this approach could finally bring automation to business testers and non-coders Real-world use cases, from validating stock charts and UI branding to exploratory testing at scale What to watch out for: prompting quality, performance tradeoffs, and trust Whether you're a skeptical scripter or just tired of flaky UI tests, this conversation will challenge how you think about automation—and show you what's now possible. Want to see it in action? Join the upcoming live demo webinar with Don and Perfecto's head of product: Perfecto AI in Action – Register Here https://testguild.me/donperrfecto

In this episode, Will and Christy touch base about wrangling code updates, keeping up with Squarespace's ongoing changes, and the debate between live and pre-recorded marketing. Then they bring in Kelsey Gilbert Kryling, founder of Week of the Website, to talk honestly about what it's like running an agency and the day-to-day realities of digital business. Kelsey shares what it takes to balance work and family life, the practical realities of maternity leave, and her biggest lessons on team structure and workflow. If you're weighing freelance vs. agency life or planning to step back for family or health, Kelsey's open-book approach is both reassuring and eye-opening. They also take a few minutes to celebrate simple wins, like the joy of a good pastry!Kelsey's top tech stack:Slack [https://slack.com/]Pipedrive [https://www.pipedrive.com/]EOS/90.io [https://www.90.io/] (Entrepreneurial Operating System organizing tool)Find Kelsey at https://www.weekofthewebsite.com/ or https://www.bykelseygk.com/ Sponsor: SquareKickerWhat if you could have unlimited creativity on Squarespace? ⁠⁠⁠⁠⁠The SquareKicker Pro Extension⁠⁠⁠⁠⁠ gives you powerful design control, with an intuitive, visual UI right inside your Squarespace editor.Created by designers, for designers, over 100 no-code tools empower you to customize Squarespace far beyond its native capabilities. Visit squarekicker.com for a free trial—no credit card required. Use SOMEWHAT15 to get 15% off all SquareKicker products today.⁠⁠⁠⁠⁠Learn More

If you're itching to try iPadOS 26, or just curious how far AI has crept into everyday life, this episode is for you.Tom and Jeff share how well (or not) AI played doctor, deliver a first look at the iPadOS 26 developer beta, and break down how to beta test like a pro (without nuking your device).You'll get honest impressions of the new floating windows, updated UI, Preview on iPad, the surprise “Games” app—and what it all feels like in day-to-day use. Plus: how Jeff tested it, what crashed, and what delighted.Will Tom install the beta? What did his doctor say when he quoted ChatGPT? And what's the one thing you should do before installing any beta? It's all here in a fast, fun 35 minutes.Links:Apple Public BetaApple Beta FAQiPadOS 26Question or Comment? Send us a Text Message!Contact Us Drop us a line at feedback@basicafshow.com You'll find Jeff at @reyespoint on Threads and reyespoint.bsky.social on Bluesky Find Tom at @tomanderson on Threads Join Tom's newsletter, Apple Talk, for more Apple coverage and tips & tricks. Tom has a new YouTube channel Show artwork by the great Randall Martin Design Enjoy Basic AF? Leave a review or rating! Review on Apple Podcasts Rate on Spotify Recommend in Overcast Intro Music: Psychokinetics - The Chosen Apple Music Spotify Transcripts and some images are AI generated and may contain errors and general silliness....

In this episode of The UX Consultants Lounge, Kyle welcomes her first-ever client into the Lounge: Susan Mercer. With over 30 years of experience in digital technology—including roles in UI design, product management, and UX research leadership—Susan brings a rare and candid perspective on what it's really like to hire and work with UX consultants.Kyle and Susan share their history of collaborating on two major projects, including one of the largest diary studies Kyle has ever led. From there, they dive into what clients think during the procurement process, how proposals get evaluated, what builds (or erodes) trust, and what makes a consultant stand out.Now that Susan is stepping into UX consulting herself, this conversation also touches on how her years on the client side are shaping how she approaches her new business, Perspecta Consulting.Whether you're a consultant trying to better understand your clients or a UX leader considering bringing in outside help this episode is packed with honest insights and practical advice.Topics include:What really goes on behind the scenes when a client is scoping and approving a UX research projectThe qualities that make a consultant stand out during the selection processWhy trust and communication are everything and what erodes them fastWhat clients wish consultants knew about proposals and pricingHow to set consultants up for success (and what happens when you don't)Susan's transition from research director to independent consultantNotable Quotes"I'm looking for a thought partner—not a salesperson. Someone who's going to help me solve a problem, not just sell me their services… If you tell me everything you can do before even asking what I need, it feels like a car salesman pitch. That's a turnoff.""I like hearing a lot of questions from consultants in that first call. Curiosity is a core skill for a researcher, and I want to see it right away.""If the methodology and reasoning are weak but the price is high, that's when I start to get skeptical.""Consistent communication is key. I'd rather have a little too much communication than be left wondering what's going on."“I want the consultant to make me and my team look good.”Connect with Us:Host: Kyle Soucy | Usable Interface |  Linkedin Guest: Susan Mercer | Perspecta Consulting  & Linkedin - - - - -Links and Resources Mentioned:Kyle's case study for the Viator diary study project Anna Kop (The UX research subcontractor Kyle hired for the Viator project)Submit a question or story: Have a question or topic that you'd like us to cover in a future episode and/or want to share an anonymous consulting story? Submit your questions and stories. Don't want to miss an episode? Be sure to sign up for the podcast newsletter.Thanks for tuning in! Don't forget to subscribe and leave a review on Apple Podcasts, Spotify, or your favorite podcast platform. I can't wait to have you back in the lounge for our next episode!

Sometimes your friends know what's best for you. Don't argue. Alba investigates the sepia-filtered nostalgic appeal of adult gaming. Kenan subjects a ravenous Alba to a round of Random Name Generator. Alba subjects you to attempted baseball metaphors. Then we report on our experiences with games we forced one another to play, and solicit further recommendations from the Rabble. Discussed: Grand Austria Hotel, Klemens Franz, Cafe culture in the Viennese Modern Age, The White Castle and games with tight action economies, rubber banding and bowling bumpers and good first experiences, games that grow on you, Taverns of Tiefenthal, Orléans, Quacks (of Quedlinberg), strategy and push-your-luck games, risk aversion and making your father proud, giggling as you bust, uninviting UI for welcoming games, accessibility and the Quacks revamp, Games that isolate single mechanisms, Oracle of Delphi and grail games, TI4 birthday bashes, Nemo's War and dancing with oneself, Tir Na Nog or possibly Hog, River Valley Glassworks, Vindication and too many choices, Fairy Rings, Dale of Merchants and too many choices, Mesos, Rebel Princess and frog princes, Concordia and analysis paralysis, head-to-head vs. private puzzles, Groundhog Day, Alchemists and app assistance, Underwater Cities, After Us and trash talk, Faraway and making the most of the hand you're dealt, Last Bastion and exceptions revisited, Fire Tower and competitive marriages, Kodachi and deckbuilding, Earth and overabundance, Euchre, Endeavor Deep Sea and the Dharma Initiative, and what to play next. Do as you're told. Hosted on Acast. See acast.com/privacy for more information.

Another edition of Investor Audibles is out. This week we read letters from LVS Advisory, Brasada Capital, and Kathmandu Capital. Ideas include: $CW, $ITOS, $WST, $UBER, $UI, $ACMR, Nagacorp, and more. I hope you guys enjoy!

Pre-Show: Live music & failed air conditioners

A strong project kickoff strategy can make or break your software project. In this episode of Building Better Developers with AI, Rob Broadhead and Michael Meloche revisit and expand upon their earlier episode, Mastering the Project Kickoff – Setting the Stage for Success. This time, they use AI not to redefine strategy, but to reflect on what worked, what's changed, and what new insights can improve how teams approach kickoffs today. The result is a deeper, more refined look at launching software projects with intention and clarity—before writing a single line of code. Why Your Project Kickoff Strategy Still Matters “Two weeks in, and no one agrees on the goal.” It's a story most developers know too well. The reason? A weak or nonexistent project kickoff strategy. Rob and Michael break down how early misalignment on goals, responsibilities, or MVPs can derail projects quickly. To avoid this, teams need a consistent, structured approach that starts before the first line of code is written. How AI Improves Your Project Kickoff Strategy AI can't replace a good team conversation, but it can support a better project kickoff strategy by helping structure discussions, define deliverables, and highlight gaps in planning. Some examples AI tools can generate: Stakeholder role outlines Risk assessment prompts Project objective statements Kickoff meeting checklists With good prompting, AI becomes a partner in better planning. Core Elements of a Strong Project Kickoff Strategy A repeatable project kickoff strategy should include the following: 1. Purpose and Objectives What are we building, and why? Define the business problem and expected outcome clearly. 2. Team Roles and Ownership List all stakeholders, assign responsibilities, and clarify decision-makers. Misunderstood roles create avoidable blockers. 3. Process and Delivery Plan Establish your delivery method (Agile, Scrum, Kanban) and how progress will be tracked, tested, and shared. 4. MVP and Scope Control Rob and Michael emphasize: everything must map to the MVP. If it doesn't, reconsider the feature. 5. Documentation and Visibility Centralize everything. Use Notion, Confluence, or shared drives, and record meetings for searchability and auditability. Warning Signs of a Poor Kickoff Strategy Michael and Rob call out red flags that reveal when your project kickoff strategy is weak or broken: No written MVP or goals Absent stakeholders during planning Overlapping roles with unclear boundaries “We'll figure it out later” mindset No documentation or decision logs Ignoring these signs leads to confusion, rework, and a breakdown in team trust. Anchor Your Kickoff Strategy with an MVP “If your feature doesn't pass a test, it's not part of your MVP.” Michael shares a practical tip: create user stories first, then turn them into pass/fail tests. This ensures that your project kickoff strategy stays laser-focused on outcomes—not distractions like UI polish or edge-case bells and whistles. Challenge: Audit Your Project Kickoff Strategy Before your next launch, hold a quick strategy review. Ask: Do we have a clearly defined MVP? Are team roles written and confirmed? Are meeting notes and decisions documented? Does every feature connect to project goals? If not, revise your strategy now—before you waste time. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Working The Project – Consulting Success CYA Documentation: Getting Started With Consulting Winning Your First Project: A Developer's Guide to Starting Your Side Hustle A Project Management and Pricing Guide for Success Building Better Developers With AI Podcast Videos – With Bonus Content

In this episode of Manufacturing Hub, we welcome back Pawel Krupa, founder of the Future Robotics YouTube channel, to dive deep into the rapidly evolving world of industrial robotics. With over a decade of hands-on experience integrating and programming systems from Fanuc, KUKA, and others, Pawel shares exclusive insights on some of the biggest changes reshaping robotics in 2025. These changes are not just cosmetic updates; they are being driven by new ISO standards and increasing cybersecurity requirements across industrial automation.We explore the hardware and software changes coming to Fanuc's R-50iA cabinet, including multiple Ethernet ports, enhanced vision systems with built-in lighting, and a groundbreaking integration of Python for native robot programming. KUKA is also undergoing a major transformation with its KC5 slim cabinet and KUKA iiQ OS, a Linux-based control system with new UI, simulation environments, and plug-and-play capabilities. These updates signify a paradigm shift where robots become not only smarter and safer, but far easier to configure, maintain, and upgrade.The conversation expands into one of the most talked-about frontiers in robotics: humanoid robots. Are they just hype or do they have a real role to play in industrial environments? We assess the business case for humanoids, especially in facilities where traditional automation has been financially unjustifiable. From handling tasks like herb sorting in food production to stepping into high-risk environments, humanoids may soon bridge the automation gap in low-throughput, labor-intensive workflows.We also explore how AI is influencing robot deployment, from edge vision systems to cycle time optimization. Pawel outlines how drag-and-drop AI-powered tools are slashing development time for vision systems from hours to minutes, while also lowering the barrier to entry for those without years of machine vision experience. Vision systems that used to require complex calibration and scripting are now being trained on real-time images or CAD models, making robotic integration faster and more accessible than ever.Finally, we close with actionable startup ideas and a bold look into the future of collaborative robots, AI, and hybrid ecosystems of humanoids and industrial arms working side-by-side. If you're in automation, manufacturing, or considering a robotics venture, this episode is packed with strategic insight, technical knowledge, and forward-thinking ideas you won't want to miss.

Darpan Saini is the CEO of App0, a generative AI platform that builds intelligent, human-centered digital assistants for companies. Previously, he co-founded Cloud Lending Solutions, which streamlined lending operations for major financial institutions before its acquisition by Q2. Darpan is also a member of the ELFA Innovation Advisory Council, where he helps shape the future of FinTech.  In this episode… Despite investing in website optimization tools, eCommerce brands are struggling to increase conversions. The user experience on most sites has plateaued, with little innovation in how shoppers search, explore, and make decisions. As customer behavior shifts toward AI-powered conversational tools, how can brands adapt their digital experiences to meet these expectations? With experience developing generative AI for eCommerce, Darpan Saini maintains that brands can transform static sites into intelligent, interactive experiences. Traditional optimization tactics, like minor UI tweaks or static product filters, offer diminishing returns. Instead, Darpan recommends investing in AI-powered quizzes, personalized product detail pages, and conversational search that can adapt in real time to each shopper's needs. By enabling one-to-one personalization without needing user data histories, brands can convert more first-time visitors, reduce returns, and stand out in a crowded market.  In this week's episode of The Digital Deep Dive, Aaron Conant speaks with Darpan Saini, CEO of App0, about improving conversion rates through AI-powered shopping experiences. Darpan talks about the rise of voice commerce, how his company develops A/B testing to increase conversions, and offers advice for deploying AI-powered shopping assistants. 

Pins are dead! Long live bookmarks! Pins was never a good name for the feature we have on CodePen where you can mark a Pen or Collection to more quickly jump back to it from anywhere on the site. The word is too similar to "Pen" that it's just awkward, not to mention it's not exactly and obvious metaphor. A bookmark is a much more clear term and icon, so we decided to switch to it. Switching the UI is kind of the easy part. It's kind of a cultural thing at CodePen, but when we make a change like this, we change it 100% through the entire code base, down to the database itself. In order to do that, we had to chunk it into stages so that those stages can roll out independently, but in order, to make it seamless. Now that it's done, we were able to extend the functionality of Bookmarks a bit, such that bookmarking a template is extra useful. One place to see that is on the new Create page. Time Jumps

Text the show! The link's in the episode notes — let's talk storyHave you ever felt like you had to hold it all together — until suddenly you realized you couldn't?In this episode, I share a deeply personal story about a week when I thought I was “fine” managing everything alone… until I found myself overwhelmed and lonely. In that quiet, raw moment, God met me with one powerful word: sovereign.We'll talk about what God's sovereignty really means — not as a distant, theological concept, but as a safe place for your tired, overwhelmed heart. Together, we'll explore scripture, reflect on surrendering control, and learn how His sovereignty can become our deepest rest and hope.Come sit with me, friend — let's invite God's sovereignty to be our safe place.Mahalo for joining me today and for letting me share this space with you. Let's keep walking in faith and aloha, together. Find me on Instagram @uikumuhoneConnect with me on Facebook @Uilani Kumuhone [personal] The Fait&Aloha Space Facebook Group: https://www.facebook.com/share/g/16SLYE4QC4/ I would love to connect with you! If you would like to be a guest on the show email me uilanikumuhone@gmail.com I would love to have you on and talk about how God is working in your life. supporting biblical resources You Version bible website:https://www.bible.com/ Topical bible verse search: https://www.openbible.info/topics/ Come as you are. Grow as He leads. Walk in aloha.

Dans cet épisode, Emmanuel et Antonio discutent de divers sujets liés au développement: Applets (et oui), app iOS développées sous Linux, le protocole A2A, l'accessibilité, les assistants de code AI en ligne de commande (vous n'y échapperez pas)… Mais aussi des approches méthodologiques et architecturales comme l'architecture hexagonale, les tech radars, l'expert généraliste et bien d'autres choses encore. Enregistré le 11 juillet 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-328.mp3 ou en vidéo sur YouTube. News Langages Les Applets Java c'est terminé pour de bon… enfin, bientot: https://openjdk.org/jeps/504 Les navigateurs web ne supportent plus les applets. L'API Applet et l'outil appletviewer ont été dépréciés dans JDK 9 (2017). L'outil appletviewer a été supprimé dans JDK 11 (2018). Depuis, impossible d'exécuter des applets avec le JDK. L'API Applet a été marquée pour suppression dans JDK 17 (2021). Le Security Manager, essentiel pour exécuter des applets de façon sécurisée, a été désactivé définitivement dans JDK 24 (2025). Librairies Quarkus 3.24 avec la notion d'extensions qui peuvent fournir des capacités à des assistants https://quarkus.io/blog/quarkus-3-24-released/ les assistants typiquement IA, ont accès a des capacités des extensions Par exemple générer un client à partir d'openAPI Offrir un accès à la,base de données en dev via le schéma. L'intégration d'Hibernate 7 dans Quarkus https://quarkus.io/blog/hibernate7-on-quarkus/ Jakarta data api restriction nouvelle Injection du SchemaManager Sortie de Micronaut 4.9 https://micronaut.io/2025/06/30/micronaut-framework-4-9-0-released/ Core : Mise à jour vers Netty 4.2.2 (attention, peut affecter les perfs). Nouveau mode expérimental “Event loop Carrier” pour exécuter des virtual threads sur l'event loop Netty. Nouvelle annotation @ClassImport pour traiter des classes déjà compilées. Arrivée des @Mixin (Java uniquement) pour modifier les métadonnées d'annotations Micronaut sans altérer les classes originales. HTTP/3 : Changement de dépendance pour le support expérimental. Graceful Shutdown : Nouvelle API pour un arrêt en douceur des applications. Cache Control : API fluente pour construire facilement l'en-tête HTTP Cache-Control. KSP 2 : Support de KSP 2 (à partir de 2.0.2) et testé avec Kotlin 2. Jakarta Data : Implémentation de la spécification Jakarta Data 1.0. gRPC : Support du JSON pour envoyer des messages sérialisés via un POST HTTP. ProjectGen : Nouveau module expérimental pour générer des projets JVM (Gradle ou Maven) via une API. Un super article sur experimenter avec les event loops reactives dans les virtualthreads https://micronaut.io/2025/06/30/transitioning-to-virtual-threads-using-the-micronaut-loom-carrier/ Malheureusement cela demander le hacker le JDK C'est un article de micronaut mais le travail a ete collaboratif avec les equipes de Red Hat OpenJDK, Red Hat perf et de Quarkus et Vert.x Pour les curieux c'est un bon article Ubuntu offre un outil de creation de container pour Spring notamment https://canonical.com/blog/spring-boot-containers-made-easy creer des images OCI pour les applications Spring Boot basées sur Ubuntu base images bien sur utilise jlink pour reduire la taille pas sur de voir le gros avantage vs d'autres solutions plus portables d'ailleurs Canonical entre dans la danse des builds d'openjdk Le SDK Java de A2A contribué par Red Hat est sorti https://quarkus.io/blog/a2a-project-launches-java-sdk/ A2A est un protocole initié par Google et donne à la fondation Linux Il permet à des agents de se décrire et d'interagir entre eux Agent cards, skills, tâche, contexte A2A complémente MCP Red hat a implémenté le SDK Java avec le conseil des équipes Google En quelques annotations et classes on a un agent card, un client A2A et un serveur avec l'échange de messages via le protocole A2A Comment configurer mockito sans warning après java 21 https://rieckpil.de/how-to-configure-mockito-agent-for-java-21-without-warning/ les agents chargés dynamiquement sont déconseillés et seront interdis bientôt Un des usages est mockito via bytebuddy L'avantage est que la,configuration était transparente Mais bon sécurité oblige c'est fini. Donc l'article décrit comment configurer maven gradle pour mettre l'agent au démarrage des tests Et aussi comment configurer cela dans IntelliJ idea. Moins simple malheureusement Web Des raisons “égoïstes” de rendre les UIs plus accessibles https://nolanlawson.com/2025/06/16/selfish-reasons-for-building-accessible-uis/ Raisons égoïstes : Des avantages personnels pour les développeurs de créer des interfaces utilisateurs (UI) accessibles, au-delà des arguments moraux. Débogage facilité : Une interface accessible, avec une structure sémantique claire, est plus facile à déboguer qu'un code désordonné (la « soupe de div »). Noms standardisés : L'accessibilité fournit un vocabulaire standard (par exemple, les directives WAI-ARIA) pour nommer les composants d'interface, ce qui aide à la clarté et à la structuration du code. Tests simplifiés : Il est plus simple d'écrire des tests automatisés pour des éléments d'interface accessibles, car ils peuvent être ciblés de manière plus fiable et sémantique. Après 20 ans de stagnation, la spécification du format d'image PNG évolue enfin ! https://www.programmax.net/articles/png-is-back/ Objectif : Maintenir la pertinence et la compétitivité du format. Recommandation : Soutenu par des institutions comme la Bibliothèque du Congrès américain. Nouveautés Clés :Prise en charge du HDR (High Dynamic Range) pour une plus grande gamme de couleurs. Reconnaissance officielle des PNG animés (APNG). Support des métadonnées Exif (copyright, géolocalisation, etc.). Support Actuel : Déjà intégré dans Chrome, Safari, Firefox, iOS, macOS et Photoshop. Futur :Prochaine édition : focus sur l'interopérabilité entre HDR et SDR. Édition suivante : améliorations de la compression. Avec le projet open source Xtool, on peut maintenant construire des applications iOS sur Linux ou Windows, sans avoir besoin d'avoir obligatoirement un Mac https://xtool.sh/tutorials/xtool/ Un tutoriel très bien fait explique comment faire : Création d'un nouveau projet via la commande xtool new. Génération d'un package Swift avec des fichiers clés comme Package.swift et xtool.yml. Build et exécution de l'app sur un appareil iOS avec xtool dev. Connexion de l'appareil en USB, gestion du jumelage et du Mode Développeur. xtool gère automatiquement les certificats, profils de provisionnement et la signature de l'app. Modification du code de l'interface utilisateur (ex: ContentView.swift). Reconstruction et réinstallation rapide de l'app mise à jour avec xtool dev. xtool est basé sur VSCode sur la partie IDE Data et Intelligence Artificielle Nouvelle edition du best seller mondial “Understanding LangChain4j” : https://www.linkedin.com/posts/agoncal_langchain4j-java-ai-activity-7342825482830200833-rtw8/ Mise a jour des APIs (de LC4j 0.35 a 1.1.0) Nouveaux Chapitres sur MCP / Easy RAG / JSon Response Nouveaux modeles (GitHub Model, DeepSeek, Foundry Local) Mise a jour des modeles existants (GPT-4.1, Claude 3.7…) Google donne A2A a la Foundation Linux https://developers.googleblog.com/en/google-cloud-donates-a2a-to-linux-foundation/ Annonce du projet Agent2Agent (A2A) : Lors du sommet Open Source Summit North America, la Linux Foundation a annoncé la création du projet Agent2Agent, en partenariat avec Google, AWS, Microsoft, Cisco, Salesforce, SAP et ServiceNow. Objectif du protocole A2A : Ce protocole vise à établir une norme ouverte pour permettre aux agents d'intelligence artificielle (IA) de communiquer, collaborer et coordonner des tâches complexes entre eux, indépendamment de leur fournisseur. Transfert de Google à la communauté open source : Google a transféré la spécification du protocole A2A, les SDK associés et les outils de développement à la Linux Foundation pour garantir une gouvernance neutre et communautaire. Soutien de l'industrie : Plus de 100 entreprises soutiennent déjà le protocole. AWS et Cisco sont les derniers à l'avoir validé. Chaque entreprise partenaire a souligné l'importance de l'interopérabilité et de la collaboration ouverte pour l'avenir de l'IA. Objectifs de la fondation A2A : Établir une norme universelle pour l'interopérabilité des agents IA. Favoriser un écosystème mondial de développeurs et d'innovateurs. Garantir une gouvernance neutre et ouverte. Accélérer l'innovation sécurisée et collaborative. parler de la spec et surement dire qu'on aura l'occasion d'y revenir Gemini CLI :https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/ Agent IA dans le terminal : Gemini CLI permet d'utiliser l'IA Gemini directement depuis le terminal. Gratuit avec compte Google : Accès à Gemini 2.5 Pro avec des limites généreuses. Fonctionnalités puissantes : Génère du code, exécute des commandes, automatise des tâches. Open source : Personnalisable et extensible par la communauté. Complément de Code Assist : Fonctionne aussi avec les IDE comme VS Code. Au lieu de blocker les IAs sur vos sites vous pouvez peut-être les guider avec les fichiers LLMs.txt https://llmstxt.org/ Exemples du projet angular: llms.txt un simple index avec des liens : https://angular.dev/llms.txt lllms-full.txt une version bien plus détaillée : https://angular.dev/llms-full.txt Outillage Les commits dans Git sont immuables, mais saviez vous que vous pouviez rajouter / mettre à jour des “notes” sur les commits ? https://tylercipriani.com/blog/2022/11/19/git-notes-gits-coolest-most-unloved-feature/ Fonctionnalité méconnue : git notes est une fonctionnalité puissante mais peu utilisée de Git. Ajout de métadonnées : Permet d'attacher des informations à des commits existants sans en modifier le hash. Cas d'usage : Idéal pour ajouter des données issues de systèmes automatisés (builds, tickets, etc.). Revue de code distribuée : Des outils comme git-appraise ont été construits sur git notes pour permettre une revue de code entièrement distribuée, indépendante des forges (GitHub, GitLab). Peu populaire : Son interface complexe et le manque de support des plateformes de forge ont limité son adoption (GitHub n'affiche même pas/plus les notes). Indépendance des forges : git notes offre une voie vers une plus grande indépendance vis-à-vis des plateformes centralisées, en distribuant l'historique du projet avec le code lui-même. Un aperçu dur Spring Boot debugger dans IntelliJ idea ultimate https://blog.jetbrains.com/idea/2025/06/demystifying-spring-boot-with-spring-debugger/ montre cet outil qui donne du contexte spécifique à Spring comme les beans non activés, ceux mockés, la valeur des configs, l'état des transactions Il permet de visualiser tous les beans Spring directement dans la vue projet, avec les beans non instanciés grisés et les beans mockés marqués en orange pour les tests Il résout le problème de résolution des propriétés en affichant la valeur effective en temps réel dans les fichiers properties et yaml, avec la source exacte des valeurs surchargées Il affiche des indicateurs visuels pour les méthodes exécutées dans des transactions actives, avec les détails complets de la transaction et une hiérarchie visuelle pour les transactions imbriquées Il détecte automatiquement toutes les connexions DataSource actives et les intègre avec la fenêtre d'outils Database d'IntelliJ IDEA pour l'inspection Il permet l'auto-complétion et l'invocation de tous les beans chargés dans l'évaluateur d'expression, fonctionnant comme un REPL pour le contexte Spring Il fonctionne sans agent runtime supplémentaire en utilisant des breakpoints non-suspendus dans les bibliothèques Spring Boot pour analyser les données localement Une liste communautaire sur les assistants IA pour le code, lancée par Lize Raes https://aitoolcomparator.com/ tableau comparatif qui permet de voir les différentes fonctionnalités supportées par ces outils Architecture Un article sur l'architecture hexagonale en Java https://foojay.io/today/clean-and-modular-java-a-hexagonal-architecture-approach/ article introductif mais avec exemple sur l'architecture hexagonale entre le domaine, l'application et l‘infrastructure Le domain est sans dépendance L‘appli spécifique à l'application mais sans dépendance technique explique le flow L'infrastructure aura les dépendances à vos frameworks spring, Quarkus Micronaut, Kafka etc Je suis naturellement pas fan de l'architecture hexagonale en terme de volume de code vs le gain surtout en microservices mais c'est toujours intéressant de se challenger et de regarder le bénéfice coût. Gardez un œil sur les technologies avec les tech radar https://www.sfeir.dev/cloud/tech-radar-gardez-un-oeil-sur-le-paysage-technologique/ Le Tech Radar est crucial pour la veille technologique continue et la prise de décision éclairée. Il catégorise les technologies en Adopt, Trial, Assess, Hold, selon leur maturité et pertinence. Il est recommandé de créer son propre Tech Radar pour l'adapter aux besoins spécifiques, en s'inspirant des Radars publics. Utilisez des outils de découverte (Alternativeto), de tendance (Google Trends), de gestion d'obsolescence (End-of-life.date) et d'apprentissage (roadmap.sh). Restez informé via les blogs, podcasts, newsletters (TLDR), et les réseaux sociaux/communautés (X, Slack). L'objectif est de rester compétitif et de faire des choix technologiques stratégiques. Attention à ne pas sous-estimer son coût de maintenance Méthodologies Le concept d'expert generaliste https://martinfowler.com/articles/expert-generalist.html L'industrie pousse vers une spécialisation étroite, mais les collègues les plus efficaces excellent dans plusieurs domaines à la fois Un développeur Python expérimenté peut rapidement devenir productif dans une équipe Java grâce aux concepts fondamentaux partagés L'expertise réelle comporte deux aspects : la profondeur dans un domaine et la capacité d'apprendre rapidement Les Expert Generalists développent une maîtrise durable au niveau des principes fondamentaux plutôt que des outils spécifiques La curiosité est essentielle : ils explorent les nouvelles technologies et s'assurent de comprendre les réponses au lieu de copier-coller du code La collaboration est vitale car ils savent qu'ils ne peuvent pas tout maîtriser et travaillent efficacement avec des spécialistes L'humilité les pousse à d'abord comprendre pourquoi les choses fonctionnent d'une certaine manière avant de les remettre en question Le focus client canalise leur curiosité vers ce qui aide réellement les utilisateurs à exceller dans leur travail L'industrie doit traiter “Expert Generalist” comme une compétence de première classe à nommer, évaluer et former ca me rappelle le technical staff Un article sur les métriques métier et leurs valeurs https://blog.ippon.fr/2025/07/02/monitoring-metier-comment-va-vraiment-ton-service-2/ un article de rappel sur la valeur du monitoring métier et ses valeurs Le monitoring technique traditionnel (CPU, serveurs, API) ne garantit pas que le service fonctionne correctement pour l'utilisateur final. Le monitoring métier complète le monitoring technique en se concentrant sur l'expérience réelle des utilisateurs plutôt que sur les composants isolés. Il surveille des parcours critiques concrets comme “un client peut-il finaliser sa commande ?” au lieu d'indicateurs abstraits. Les métriques métier sont directement actionnables : taux de succès, délais moyens et volumes d'erreurs permettent de prioriser les actions. C'est un outil de pilotage stratégique qui améliore la réactivité, la priorisation et le dialogue entre équipes techniques et métier. La mise en place suit 5 étapes : dashboard technique fiable, identification des parcours critiques, traduction en indicateurs, centralisation et suivi dans la durée. Une Definition of Done doit formaliser des critères objectifs avant d'instrumenter tout parcours métier. Les indicateurs mesurables incluent les points de passage réussis/échoués, les temps entre actions et le respect des règles métier. Les dashboards doivent être intégrés dans les rituels quotidiens avec un système d'alertes temps réel compréhensibles. Le dispositif doit évoluer continuellement avec les transformations produit en questionnant chaque incident pour améliorer la détection. La difficulté c'est effectivement l'évolution métier par exemple peu de commandes la nuit etc ça fait partie de la boîte à outils SRE Sécurité Toujours à la recherche du S de Sécurité dans les MCP https://www.darkreading.com/cloud-security/hundreds-mcp-servers-ai-models-abuse-rce analyse des serveurs mcp ouverts et accessibles beaucoup ne font pas de sanity check des parametres si vous les utilisez dans votre appel genAI vous vous exposer ils ne sont pas mauvais fondamentalement mais n'ont pas encore de standardisation de securite si usage local prefferer stdio ou restreindre SSE à 127.0.0.1 Loi, société et organisation Nicolas Martignole, le même qui a créé le logo des Cast Codeurs, s'interroge sur les voies possibles des développeurs face à l'impact de l'IA sur notre métier https://touilleur-express.fr/2025/06/23/ni-manager-ni-contributeur-individuel/ Évolution des carrières de développeur : L'IA transforme les parcours traditionnels (manager ou expert technique). Chef d'Orchestre d'IA : Ancien manager qui pilote des IA, définit les architectures et valide le code généré. Artisan Augmenté : Développeur utilisant l'IA comme un outil pour coder plus vite et résoudre des problèmes complexes. Philosophe du Code : Un nouveau rôle centré sur le “pourquoi” du code, la conceptualisation de systèmes et l'éthique de l'IA. Charge cognitive de validation : Nouvelle charge mentale créée par la nécessité de vérifier le travail des IA. Réflexion sur l'impact : L'article invite à choisir son impact : orchestrer, créer ou guider. Entraîner les IAs sur des livres protégés (copyright) est acceptable (fair use) mais les stocker ne l'est pas https://www.reuters.com/legal/litigation/anthropic-wins-key-ruling-ai-authors-copyright-lawsuit-2025-06-24/ Victoire pour Anthropic (jusqu'au prochain procès): L'entreprise a obtenu gain de cause dans un procès très suivi concernant l'entraînement de son IA, Claude, avec des œuvres protégées par le droit d'auteur. “Fair Use” en force : Le juge a estimé que l'utilisation des livres pour entraîner l'IA relevait du “fair use” (usage équitable) car il s'agit d'une transformation du contenu, pas d'une simple reproduction. Nuance importante : Cependant, le stockage de ces œuvres dans une “bibliothèque centrale” sans autorisation a été jugé illégal, ce qui souligne la complexité de la gestion des données pour les modèles d'IA. Luc Julia, son audition au sénat https://videos.senat.fr/video.5486945_685259f55eac4.ia–audition-de-luc-julia-concepteur-de-siri On aime ou pas on aide pas Luc Julia et sa vision de l'IA . C'est un eversion encore plus longue mais dans le même thème que sa keynote à Devoxx France 2025 ( https://www.youtube.com/watch?v=JdxjGZBtp_k ) Nature et limites de l'IA : Luc Julia a insisté sur le fait que l'intelligence artificielle est une “évolution” plutôt qu'une “révolution”. Il a rappelé qu'elle repose sur des mathématiques et n'est pas “magique”. Il a également alerté sur le manque de fiabilité des informations fournies par les IA génératives comme ChatGPT, soulignant qu'« on ne peut pas leur faire confiance » car elles peuvent se tromper et que leur pertinence diminue avec le temps. Régulation de l'IA : Il a plaidé pour une régulation “intelligente et éclairée”, qui devrait se faire a posteriori afin de ne pas freiner l'innovation. Selon lui, cette régulation doit être basée sur les faits et non sur une analyse des risques a priori. Place de la France : Luc Julia a affirmé que la France possédait des chercheurs de très haut niveau et faisait partie des meilleurs mondiaux dans le domaine de l'IA. Il a cependant soulevé le problème du financement de la recherche et de l'innovation en France. IA et Société : L'audition a traité des impacts de l'IA sur la vie privée, le monde du travail et l'éducation. Luc Julia a souligné l'importance de développer l'esprit critique, notamment chez les jeunes, pour apprendre à vérifier les informations générées par les IA. Applications concrètes et futures : Le cas de la voiture autonome a été discuté, Luc Julia expliquant les différents niveaux d'autonomie et les défis restants. Il a également affirmé que l'intelligence artificielle générale (AGI), une IA qui dépasserait l'homme dans tous les domaines, est “impossible” avec les technologies actuelles. Rubrique débutant Les weakreferences et le finalize https://dzone.com/articles/advanced-java-garbage-collection-concepts un petit rappel utile sur les pièges de la méthode finalize qui peut ne jamais être invoquée Les risques de bug si finalize ne fini jamais Finalize rend le travail du garbage collector beaucoup plus complexe et inefficace Weak references sont utiles mais leur libération n'est pas contrôlable. Donc à ne pas abuser. Il y a aussi les soft et phantom references mais les usages ne sont assez subtils et complexe en fonction du GC. Le sériel va traiter les weak avant les soft, parallel non Le g1 ça dépend de la région Z1 ça dépend car le traitement est asynchrone Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 14-19 juillet 2025 : DebConf25 - Brest (France) 5 septembre 2025 : JUG Summer Camp 2025 - La Rochelle (France) 12 septembre 2025 : Agile Pays Basque 2025 - Bidart (France) 18-19 septembre 2025 : API Platform Conference - Lille (France) & Online 22-24 septembre 2025 : Kernel Recipes - Paris (France) 23 septembre 2025 : OWASP AppSec France 2025 - Paris (France) 25-26 septembre 2025 : Paris Web 2025 - Paris (France) 2 octobre 2025 : Nantes Craft - Nantes (France) 2-3 octobre 2025 : Volcamp - Clermont-Ferrand (France) 3 octobre 2025 : DevFest Perros-Guirec 2025 - Perros-Guirec (France) 6-7 octobre 2025 : Swift Connection 2025 - Paris (France) 6-10 octobre 2025 : Devoxx Belgium - Antwerp (Belgium) 7 octobre 2025 : BSides Mulhouse - Mulhouse (France) 9 octobre 2025 : DevCon #25 : informatique quantique - Paris (France) 9-10 octobre 2025 : Forum PHP 2025 - Marne-la-Vallée (France) 9-10 octobre 2025 : EuroRust 2025 - Paris (France) 16 octobre 2025 : PlatformCon25 Live Day Paris - Paris (France) 16 octobre 2025 : Power 365 - 2025 - Lille (France) 16-17 octobre 2025 : DevFest Nantes - Nantes (France) 17 octobre 2025 : Sylius Con 2025 - Lyon (France) 17 octobre 2025 : ScalaIO 2025 - Paris (France) 20 octobre 2025 : Codeurs en Seine - Rouen (France) 23 octobre 2025 : Cloud Nord - Lille (France) 30-31 octobre 2025 : Agile Tour Bordeaux 2025 - Bordeaux (France) 30-31 octobre 2025 : Agile Tour Nantais 2025 - Nantes (France) 30 octobre 2025-2 novembre 2025 : PyConFR 2025 - Lyon (France) 4-7 novembre 2025 : NewCrafts 2025 - Paris (France) 5-6 novembre 2025 : Tech Show Paris - Paris (France) 6 novembre 2025 : dotAI 2025 - Paris (France) 6 novembre 2025 : Agile Tour Aix-Marseille 2025 - Gardanne (France) 7 novembre 2025 : BDX I/O - Bordeaux (France) 12-14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 13 novembre 2025 : DevFest Toulouse - Toulouse (France) 15-16 novembre 2025 : Capitole du Libre - Toulouse (France) 19 novembre 2025 : SREday Paris 2025 Q4 - Paris (France) 20 novembre 2025 : OVHcloud Summit - Paris (France) 21 novembre 2025 : DevFest Paris 2025 - Paris (France) 27 novembre 2025 : DevFest Strasbourg 2025 - Strasbourg (France) 28 novembre 2025 : DevFest Lyon - Lyon (France) 1-2 décembre 2025 : Tech Rocks Summit 2025 - Paris (France) 5 décembre 2025 : DevFest Dijon 2025 - Dijon (France) 9-11 décembre 2025 : APIdays Paris - Paris (France) 9-11 décembre 2025 : Green IO Paris - Paris (France) 10-11 décembre 2025 : Devops REX - Paris (France) 10-11 décembre 2025 : Open Source Experience - Paris (France) 28-31 janvier 2026 : SnowCamp 2026 - Grenoble (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 17 juin 2026 : Devoxx Poland - Krakow (Poland) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Your freelancer blew the deadline—now what? Learn how to manage freelancers the right way. Subscribe for more leadership tips!What You'll Learn:Why fractional talent often fails to meet expectations—and how to fix it3 proven freelancer management tips that actually workHow to set expectations and onboard freelancers effectivelyWhat to do when a freelancer misses a deadline or underdeliversManaging freelancers shouldn't feel like babysitting but without the right systems, it does. In this episode of The New Manager Playbook, Lia Garvin dives deep into the freelancer horror stories so many founders and leaders are facing. From contractors missing deadlines to UI designers holding projects hostage, you'll hear real-life examples of what not to do when working with remote support staff.But it's not all cautionary tales. Lia shares her 3 keys to successful freelancer management starting with a clear onboarding process and setting realistic expectations. You'll also discover how to build accountability even without formal authority, and what tools you can use to track progress without micromanaging. Whether you're struggling with freelancer deadline issues or want to lead remote teams more effectively, this episode is your playbook.Don't forget to subscribe and leave a review!

Employees at the General Services Administration appear poised to test Grok 3, the artificial intelligence tool built by Elon Musk's company xAI, according to a GitHub page referencing the agency's work. The GitHub page operated by GSA and its digital government group Technology Transformation Services references the Grok AI model as one it is testing and that the team is actively discussing as part of its 10x AI Sandbox. A GSA spokesperson told FedScoop in a response to an inquiry about the agency's work with Grok “GSA is evaluating the use of several top-tier AI solutions to empower agencies and our public servants to best achieve their goals. We welcome all American companies and models who abide by our terms and conditions.”A post from Tuesday shows what appears to be one GSA employee trying to access Grok 3 for testing, but struggling to do so. Several names of the people active on the GitHub page match those of workers affiliated with GSA. The 10x AI Sandbox project is described on GitHub as “a venture studio in collaboration with the General Services Administration (GSA). Its primary goal is to enable federal agencies to experiment with artificial intelligence (AI) in a secure, FedRAMP-compliant environment.” It continues: “By providing access to base models from leading AI companies and offering advanced UI features, the sandbox empowers agencies to test and validate new AI use cases efficiently.” The public version of the 10x AI Sandbox project page on GitHub was taken down after the publication of this story, redirecting now to a 404 error page. Interest in testing Grok comes as GSA continues to work on GSAi, an artificial intelligence tool built by the agency and meant to help employees access multiple AI models. At launch, the GSAi tool included access to several systems, including tools from Anthropic and Meta. Notably, Grok came under fire last week after promoting various antisemitic statements on the Musk-owned social media platform X. A top digital rights group is pushing back on the IRS's data-sharing agreement with the Department of Homeland Security, writing in a new court filing that the pact violates federal tax code and fails to take into account the real-world consequences of bulk data disclosure. In an amicus brief filed in the U.S. Court of Appeals for the D.C. Circuit, the Electronic Frontier Foundation argued that the “historical context” of the tax code section that ensures confidentiality of returns and return information “favors a narrow interpretation of disclosure provisions.” EFF also made the case for why the bulk disclosure of taxpayer information — in this case to Immigration and Customs Enforcement — is especially harmful due to “record linkage errors” that set the stage for “an increase in mistaken and dangerous ICE enforcement actions against taxpayers.” Nonprofit groups sued the Trump administration in March, shortly after the data-sharing deal between the IRS and ICE was announced. Soon after, the tax agency's then-acting commissioner resigned, reportedly in protest. In May, a Trump-appointed federal judge refused to block the agreement, allowing the IRS to continue delivering taxpayer data to ICE. The ruling, DHS said in a statement, was “a victory for the American people and for common sense.” As the D.C. Circuit Court considers the appeal, the Electronic Frontier Foundation wants to make sure that the “historical context” of tax and privacy law is taken into account. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

In this episode, recorded live at Microsoft Build, we sit down with Beth Massi! From community legend to product manager on the .NET MAUI team, Beth joins us for a deep dive into the world of hybrid app development. We unpack the story behind the name “MAUI,” the evolution of Xamarin, and how web technologies can blend seamlessly into native apps. Along the way, we explore AI's growing role in developer tooling, the power of open source collaboration, and yes… even Star Trek captains. Whether you're building mobile apps, curious about hybrid frameworks, or just here for the sci-fi and geek-outs, this episode has something for you. Guest:

Google Veo leads the generative video market with superior 4K photorealism and integrated audio, an advantage derived from its YouTube training data. OpenAI Sora is the top tool for narrative storytelling, while Kuaishou Kling excels at animating static images with realistic, high-speed motion. Links Notes and resources at ocdevel.com/mlg/mla-26 Try a walking desk - stay healthy & sharp while you learn & code Build the future of multi-agent software with AGNTCY. S-Tier: Google Veo The market leader due to superior visual quality, physics simulation, 4K resolution, and integrated audio generation, which removes post-production steps. It accurately interprets cinematic prompts ("timelapse," "aerial shots"). Its primary advantage is its integration with Google products, using YouTube's vast video library for rapid model improvement. The professional focus is clear with its filmmaking tool, "Flow." A-Tier: Sora & Kling OpenAI Sora: Excels at interpreting complex narrative prompts and has wide distribution through ChatGPT. Features include in-video editing tools like "Remix" and a "Storyboard" function for multi-shot scenes. Its main limits are 1080p resolution and no native audio. Kuaishou Kling: A leader in image-to-video quality and realistic high-speed motion. It maintains character consistency and has proven commercial viability (RMB 150M in Q1 2025). Its text-to-video interface is less intuitive than Sora's. Summary: Sora is best for storytellers starting with a narrative idea; Kling is best for artists animating a specific image. Control and Customization: Runway & Stable Diffusion Runway: An integrated creative suite with a full video editor and "AI Magic Tools" like Motion Brush and Director Mode. Its value is in generating, editing, and finishing in one platform, offering precise control over stylization and in-shot object alteration. Stable Diffusion: An open-source ecosystem (SVD, AnimateDiff) offering maximum control through technical interfaces like ComfyUI. Its strength is a large community developing custom models, LoRAs, and ControlNets for specific tasks like VFX integration. It has a steep learning curve. Niche Tools: Midjourney & More Midjourney Video: The best tool for animating static Midjourney images (image-to-video only), preserving their unique aesthetic. Avatar Platforms (HeyGen, Synthesia): Built for scalable corporate and marketing videos, featuring realistic talking avatars, voice cloning, and multi-language translation with accurate lip-sync. Head-to-Head Comparison Feature Google Veo (S-Tier) OpenAI Sora (A-Tier) Kuaishou Kling (A-Tier) Runway (Power-User Tier) Photorealism Winner. Best 4K detail and physics. Excellent, but can have a stylistic "AI" look. Very strong, especially with human subjects. Good, but a step below the top tier. Consistency Strong, especially with Flow's scene-building. Co-Winner. Storyboard feature is built for this. Co-Winner. Excels in image-to-video consistency. Good, with character reference tools. Prompt Adherence Winner (Language). Best understanding of cinematic terms. Best for imaginative/narrative prompts. Strong on motion, less on camera specifics. Good, but relies more on UI tools. Directorial Control Strong via prompt. Moderate, via prompt and storyboard. Moderate, focused on motion. Winner (Interface). Motion Brush & Director Mode offer direct control. Integrated Audio Winner. Native dialogue, SFX, and music. Major workflow advantage. No. Requires post-production. No. Requires post-production. No. Requires post-production. Advanced Multi-Tool Workflows High-Quality Animation: Combine Midjourney (for key-frame art) with Kling or Runway (for motion), then use an AI upscaler like Topaz for 4K finishing. VFX Compositing: Use Stable Diffusion (AnimateDiff/ControlNets) to generate specific elements for integration into live-action footage using professional software like Nuke or After Effects. All-in-one models lack the required layer-based control. High-Volume Marketing: Use Veo for the main concept, Runway for creating dozens of variations, and HeyGen for personalized avatar messaging to achieve speed and scale. Decision Matrix: Who Should Use What? User Profile Primary Goal Recommendation Justification The Indie Filmmaker Pre-visualization, short films. OpenAI Sora (Primary), Google Veo (Secondary) Sora's storyboard feature is best for narrative construction. Veo is best for high-quality final shots. The VFX Artist Creating animated elements for live-action. Stable Diffusion (AnimateDiff/ComfyUI) Offers the layer-based control and pipeline integration needed for professional VFX. The Creative Agency Rapid prototyping, social content. Runway (Primary Suite), Google Veo (For Hero Shots) Runway's editing/variation tools are built for agency speed. Veo provides the highest quality for the main asset. The AI Artist / Animator Art-directed animated pieces. Midjourney + Kling Pairs the best image generator with a top-tier motion engine for maximum aesthetic control. The Corporate Trainer Training and personalized marketing videos. HeyGen / Synthesia Specialized tools for avatar-based video production at scale (voice cloning, translation). Future Trajectory Pipeline Collapse: More models will integrate audio and editing, pressuring silent-only video generators. The Control Arms Race: Competition will shift from quality to providing more sophisticated directorial tools. Rise of Aggregators: Platforms like OpenArt that provide access to multiple models through a single interface will become essential.

Samsungovo letnje pojavljivanje stalo je u jednu reč - tanko. Tanka silueta koju je prošetao Galaxy Fold7 spasiće Samsung svega ostalog što smo videli na letnjem raspakivanju. Sedmicu u imenu dobio je i Flip, a satovi imaju novi dizajn i staru priču. Iako je Samsung dao sve od sebe da nas ubedi kako je AI novi UI, ključna AI tačka ovog puta je Gemini koji na Androidu počinje da prati i druge aplikacije, pa se naoružajte oprezom pre nego što uskočite u taj vagon. Danska proba LibreOffice umesto Microsoftovog, Windows će vas doslovno zavijati u crno, Cloudflare proba alat kojim ćete AI botovima moći da naplaćujete ulaz na svoj sajt, OpenAI bi mogao da napravi browser, a prva kompanija koja je prešla cifru of 4 biliona ipak je Nvidia. Hvala na slušanju!

AI is changing how companies build and scale. But most pitch decks haven't caught up.Karthik Chakkarapani, CIO of Zuora, has heard plenty of startup pitches but only a few stand out. He shares why most pitches fall flat, how to fix them, and how to present both the founder and the company in a way that drives real interest.We unpack what should go into your 30-second elevator pitch, why “Time to Value” needs its own slide, and how to bring up AI without sounding like everyone else.SaaS is changing fast and it's no longer just about features, but about speed, clarity, and proof of value. We explore how the next wave of SaaS companies can truly differentiate themselves.Building a startup is different in a post-UI world, where users don't click through screens but simply prompt systems to act. We discuss what it takes to build in a world of API-driven AI agents, along with real lessons on what most founders get wrong about working with large companies.If you're building SaaS in 2025, this conversation is for you.0:00 – Trailer1:05 – How the CIO Role Has Changed3:21 – How Zuora Enables the Subscription Economy5:45 – Is SaaS Becoming Headless?7:55 – Are We Entering a Post-UI World?10:37 – What's the New Competitive Advantage?12:31 – Will Entry-Level Jobs Be Replaced by Tools?14:05 – What Metrics Will Matter in an Agentic AI World?15:55 – How to Measure AI Adoption in Your Company18:38 – What's the Hype-to-Reality Ratio for AI?20:19 – What Is the Biggest ROI AI Has Delivered?23:53 – How Startups Can Get Deployed in Enterprises27:10 – How Founders Should Use AI in Their Pitch28:45 – Bolt-On AI vs. Built-In AI32:26 – Most Common Myth About CIOs35:03 – Why You Need a Prompt Library36:04 – What to Avoid in Your Pitch Deck37:21 – How Atomic Work Came Onboard42:47 – The Underrated Soft Skills Founders Need47:55 – 3 Examples of Killer 30-Second Elevator Pitches51:59 – The “Time-to-Value” Slide Explained53:46 – What Founders Get Wrong About Enterprises54:58 – Top SaaS Misconceptions About Enterprise57:00 – Where Enterprises Adopt AI the Fastest59:45 – How the Next SaaS Companies Will Differentiate1:00:33 – Bay Area vs. Bangalore vs. Chennai1:03:33 – Rapid Fire Round-------------​​India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us a text

Send us a text!This week, Leander and Griffin are joined by Graham Bower to talk about the latest iPhone 17 leaks, Jeff Williams stepping down and what that means for Apple's next CEO, toning down Liquid Glass in iOS 26, how to vibe code to make your next iOS app, a perplexing user setup, MacBook Pro buying advice… and a review of an exciting handheld video game console!This episode supported by:The Cult of Mac Today Newsletter. Get all the top stories, Leander's daily musings, top tweets, the daily wallpaper, inspirational Steve Jobs quote and vote in our reader polls — all delivered straight to your inbox. Sign up at newsletters.cultofmac.comThis week's stories:iPhone 17 leak teases Pro-exclusive design upgradesThe upcoming iPhone 17 series may pack big design changes, at least on the Pro models, with the base variant featuring subtle changes.Majin Bu: iPhone 17 Air Could Be Available in 4 New Color OptionsJeff Williams stepping down as Apple COOJeff Williams, whose role as COO put him charge of Apple's global operations since 2010, will retire later this year.Why this dark horse candidate could be Apple's next CEOEverything new in iOS 26 Beta 3iOS 26 beta 3 tweaks the Liquid Glass design, making the UI elements frosty to improve readability while making multiple smaller changes.Vibe codingReps & SetsApple's Swift tutorials in Swift PlaygroundSwiftUI tutorialsApple's Human Computer Interaction guidelinesCursor IDEApple Developer ProgramYamaha studio monitors power MacBook Pro rig's soundFor MacBook setup speakers, you can do worse than this user's Yamaha studio monitors. And his headphones and audio interfaces impress, too.Under Review

In this episode of PodRocket, Michael Shilman, product lead at Storybook, joins us to explore the major updates in Storybook 9. We dive into component testing, browser mode in Vitest, AI workflows, React Server Components, accessibility audits, and Storybook's growing support for frameworks like Next.js, Svelte, and React Native. Michael also shares behind-the-scenes insights on Storybook's evolution from a documentation tool to a full-fledged UI development and testing suite. Links LinkedIn: https://www.linkedin.com/in/shilman Github: https://github.com/shilman X: https://x.com/mshilman Bluesky: https://bsky.app/profile/shilman.net Resources Storybook 9 (https://storybook.js.org/blog/storybook-9/) 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? 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: Michael Shilman.

Patrick McKenzie (patio11) is joined again by Ricki Heicklen to discuss the evolution of her trading education business, Arbor, one year after their first conversation. They dive deep into the pedagogy of trading, exploring how simulated markets teach concepts like adverse selection, team dynamics, and risk management through hands-on experience. Ricki shares war stories from the bootcamp trenches—infinite loop bugs that mirror Knight Capital's disaster, WiFi outages that create unexpected trading opportunities, and that the most successful trading teams often focus on internal team communication even more than trade execution or technical acumen.See the full transcript: https://www.complexsystemspodcast.com/think-like-a-trader-ricki-heicklen/–[Patrick notes: Complex Systems now produces occasional video episodes.You can access them directly on YouTube: https://www.youtube.com/@patio11podcast. My kids inform me that I'm supposed to tell you to like and subscribe.]–Links:Trading Camp : https://trading.camp/Metagame: https://www.metagame.games/#tickets Story of Knight Capital: https://www.sec.gov/files/litigation/admin/2013/34-70694.pdf–Timestamps:(00:00) Intro(00:46) Ricki's journey from trading to teaching(01:25) The birth of Arbor and first bootcamps(03:32) Developing a trader's mindset(05:53) Understanding heuristics in trading(08:21) Adverse selection in everyday life(15:40) Insights from teaching trading bootcamps(21:07) Pedagogical approach: learning by doing(32:00) Handling mistakes and learning opportunities(36:17) Unplanned bugs and real-world lessons(39:47) Learning from Knight Capital's bug(40:24) Understanding exchange-side bugs(43:10) Risk limits and strategy separation(44:41) Importance of UI in trading bots(46:53) The Madagascar button(48:20) The big red button in manufacturing(49:45) Simulated trading and information aggregation(50:29) Sibling trading game explained(53:24) Modeling and hidden information(01:01:15) Trading behavior and market updates(01:04:38) Real-world applications and lessons(01:13:58) Surprises and market opportunities(01:16:24) Pedagogical approaches in trading education(01:17:08) Market dynamics and counterparty behavior(01:17:53) Retail vs. institutional order flow(01:19:23) Simplifying trading concepts for beginners(01:21:27) Introducing market characters and their roles(01:31:31) Team dynamics and communication in trading(01:39:13) The importance of redundancy in trading systems(01:47:52) Future of trading education and online classes(01:53:47) Wrap

News and Updates: Google Earth turns 20 — Google celebrates two decades of Earth exploration with historical Street View now added to Google Earth. Highlights include viral launches, disaster response after Katrina, aiding scientific discoveries, the Saroo Brierley story from Lion, and the viral #somewhereonGoogleMaps trend. 400 million Windows PCs vanished — Microsoft quietly revealed Windows active devices dropped from 1.4B in 2022 to 1B in 2025 as home users retire PCs without replacing them. The market is shifting toward business and mobile-first devices. Microsoft offers cheaper Windows 10 security updates — Instead of a $30 fee, consumers can now enroll in Extended Security Updates with 1,000 Microsoft Rewards points or by using Windows Backup on OneDrive. The Blue Screen of Death turns black — Windows 11's infamous BSOD gets a minimalist black redesign in version 24H2, ditching the frowny face and QR code in favor of a cleaner UI. Windows 11 restore points now expire faster — With the June 2025 update, system restore points in Windows 11 24H2 expire after 60 days instead of 90, requiring users to monitor backups more closely. Microsoft makes AI use mandatory for staff — Company leaders are pushing employees to adopt internal AI tools like GitHub Copilot, with some teams considering AI usage as a formal review metric starting next fiscal year.

In the last lesson, I talked about the four types of UX resources that can help you scale your influence across the organization. This time, we're going to zero in on one of the most powerful tools at your disposal: the design system.If you want to move from being an implementer to a UX leader, someone who empowers others to create better experiences, a good design system is your best ally. It makes user-centered design easier for everyone else. That, in turn, frees you up to focus on the bigger picture.Let's talk about why that matters and what makes a design system truly useful.Why Design Systems Matter (Even if You Think You've Got One)I'm not just talking about a Figma file with some buttons and colors. I mean a real design system. One that's robust, well-documented, and tightly integrated with your development process.Because, people across your organization need to visualize, prototype, and test ideas quickly. If they're constantly reinventing layouts or relying on you to build everything, you become the bottleneck. A good design system short-circuits that by giving them the building blocks to create user-friendly interfaces without needing to be UX experts.That helps in several ways:Speed: Reusable components make it faster to go from idea to mockupConsistency: Interfaces follow the same design logic, reducing confusion and frictionScalability: Teams don't need to wait on you to build every screenBuilt-in best practice: Accessibility and UI standards are baked inBut for any of that to work, you've got to go beyond just handing over a Figma file.What Makes a Design System Effective?It's easy to underestimate what goes into a good design system. But if you want others to use it correctly and confidently, it needs to tick a few critical boxes.Clear DocumentationThink brand guidelines, but for components. Your team needs to know how and when to use each item. That includes the "dos and don'ts" and examples of what not to do. Misusing components is common. Like placing white text on pale backgrounds or combining elements in awkward ways. A few screenshots can save a lot of confusion.Developer-Friendly IntegrationDesign systems shouldn't just work for designers. Developers need to be able to take what they see in Figma and translate it into code. That means making component names and logic consistent between tools. Ideally, it also includes code snippets they can copy directly.Reusable Code ComponentsIf you've got a design system in Figma but no matching code components in your front-end library, you're only halfway there. Work with engineering to make sure each design element has a reusable, implementable counterpart in code.Modular and MaintainableYour system needs to grow with your organization. Whether you're rebranding or adding new features, your design system should make updates easier, not harder. Modular components help with that and make it easier to iterate as standards evolve.Governance and Ongoing OwnershipThis isn't a "set and forget" resource. A design system needs love and maintenance. Set up lightweight processes for reviewing and updating it regularly. That might mean assigning someone ownership or scheduling a quarterly design system review.You Don't Need to Build It All at OnceA solid design system is a powerful investment. But it doesn't need to be perfect or comprehensive from day one. Start small. Pick a few high-use components like buttons, form fields, and modals, and document those well. Build from there as your needs and capacity allow.The important part is getting something usable into people's hands as early as possible.Your Action StepStart by taking inventory. What components or styles are you re-creating over and over again? Could you package those into a starter design system for others to use?Next time, we'll talk about the tools you can provide that make research, testing, and prototyping much easier for your colleagues.

In this episode, Will and Christy talk about everything from big Squarespace updates (especially around e-commerce), to taking real sick days (or not), and why it's actually okay if your website isn't the prettiest thing on the internet. We get into what dogs can teach us about web design, using loyalty and clear directions as guiding lights, and even where to find that “sunny spot” for your work and wellbeing. You'll walk away with practical changes you can make to your Squarespace site, and a few reminders that taking care of yourself is just as important as impressing your clients. Oh, and we share a lot of love for pets, so if that's your thing, stick around!Sponsor: SquareKickerWhat if you could have unlimited creativity on Squarespace? ⁠⁠⁠⁠The SquareKicker Pro Extension⁠⁠⁠⁠ gives you powerful design control, with an intuitive, visual UI right inside your Squarespace editor.Created by designers, for designers, over 100 no-code tools empower you to customize Squarespace far beyond its native capabilities. Visit squarekicker.com for a free trial—no credit card required. Use SOMEWHAT15 to get 15% off all SquareKicker products today.⁠⁠⁠⁠Learn MoreDonald Miller book: https://storybrand.com/building-a-storybrand-book-new/See the site Christy made about BeylaWill's Squarespace Designer Toolkit Chrome ExtensionWorkflow.DesignChristy's Workflow.Design walkthroughWhere to find Kristine:https://kristineneil.com/https://www.linkedin.com/in/kristineneil/https://www.youtube.com/@kristineneil 

Text the show! The link's in the episode notes — let's talk storyHave you ever felt stuck in a cycle? The same argument, the same tension, the same heavy feelings that show up over and over again?In this episode of The Faith & Aloha Show, I'm opening up about a pattern in my marriage with Danny that's repeated for years — especially before he left for work trips. Every time, there would be tension, fighting, and a heaviness that lasted the whole time he was gone.But this time, something shifted. Through quiet inner healing (which we talked about last week) and the power of asking for prayer, I experienced a new kind of peace — for the first time in years.We'll look at Isaiah 26:3 and Philippians 4:7, and talk about how peace doesn't always show up loud and dramatic. Sometimes, it arrives gently, through surrender, prayer, and small heart changes that break big cycles.If you're longing for peace in your relationships, or praying for a breakthrough in your marriage, this episode is for you.Mahalo for joining me today and for letting me share this space with you. Let's keep walking in faith and aloha, together. Find me on Instagram @uikumuhoneConnect with me on Facebook @Uilani Kumuhone [personal] The Fait&Aloha Space Facebook Group: https://www.facebook.com/share/g/16SLYE4QC4/ I would love to connect with you! If you would like to be a guest on the show email me uilanikumuhone@gmail.com I would love to have you on and talk about how God is working in your life. supporting biblical resources You Version bible website:https://www.bible.com/ Topical bible verse search: https://www.openbible.info/topics/ Come as you are. Grow as He leads. Walk in aloha.

As CEO of Razorfish, Dani Mariano leads teams who are focused on delivering performance outcomes rooted in brand purpose. Innovation is in Razorfish's DNA, and Dani is leading the agency's day-to-day operations at a time when exponential growth in emerging spaces such as AI and Web3 has never been more attainable. She is committed to discovering how Razorfish can help brands build relationships in this new digital age through valuable consumer touch points, and how to keep companies at the forefront of the latest technology advancements to future-proof them for what's to come. Most importantly, she empowers the agency's team members to seek opportunities for growth that will prepare them to be the next generation of agency leadership.During her time at Razorfish and its parent company, Publicis Groupe, Dani has led an award-winning global digital marketing transformation for Samsung spanning the Web3 launch of 837X and Discord channel, DTC commerce experiences, social commerce innovations, global website UI-redesign, and advanced analytics & measurement – all underpinned by a relentless focus on consumer behavior fueled by data insights.  Dani's blend of deep expertise in marketing, pioneering approach to new technologies, and digital-first innovation has translated into a track record of industry recognitions, such as Hermes Creative Award 2022, Data Breakthrough Award 2022, Effie 2022, Adweek Media Plan of the Year 2021, and multiple Webby Awards.Prior to joining Razorfish and Publicis, Dani spent over 20 years in marketing leadership roles working with brands such as Nestle, Avery Denison, DIRECTV, Honda, Alterna Hair Care, and Public Storage.When Dani is not following her relentless curiosity around emerging technology and the implications for consumer experiences, she can be found around Los Angeles or relaxing at the beach with her family.

Todd Olson joins me to talk about making analytics worth paying for and relevant in the age of AI. The CEO of Pendo, an analytics SAAS company, Todd shares how the company evolved to support a wider audience by simplifying dashboards, removing user roadblocks, and leveraging AI to both generate and explain insights. We also talked about the roles of product management at Pendo. Todd views AI product management as a natural evolution for adaptable teams and explains how he thinks about hiring product roles in 2025. Todd also shares how he thinks about successful user adoption of his product around “time to value” and “stickiness” over vanity metrics like time spent.    Highlights/ Skip to: How Todd has addressed analytics apathy over the past decade at Pendo (1:17) Getting back to basics and not barraging people with more data and power (4:02) Pendo's strategy for keeping the product experience simple without abandoning power users (6:44) Whether Todd is considering using an LLM (prompt-based) answer-driven experience with Pendo's UI (8:51) What Pendo looks for when hiring product managers right now, and why (14:58) How Pendo evaluates AI product managers, specifically (19:14) How Todd Olson views AI product management compared to traditional software product management (21:56) Todd's concerns about the probabilistic nature of AI-generated answers in the product UX (27:51) What KPIs Todd uses to know whether Pendo is doing enough to reach its goals (32:49)   Why being able to tell what answers are best will become more important as choice increases (40:05)   Quotes from Today's Episode “Let's go back to classic Geoffrey Moore Crossing the Chasm, you're selling to early adopters. And what you're doing is you're relying on the early adopters' skill set and figuring out how to take this data and connect it to business problems. So, in the early days, we didn't do anything because the market we were selling to was very, very savvy; they're hungry people, they just like new things. They're getting data, they're feeling really, really smart, everything's working great. As you get bigger and bigger and bigger, you start to try to sell to a bigger TAM, a bigger audience, you start trying to talk to the these early majorities, which are, they're not early adopters, they're more technology laggards in some degree, and they don't understand how to use data to inform their job. They've never used data to inform their job. There, we've had to do a lot more work.” Todd (2:04 - 2:58) “I think AI is amazing, and I don't want to say AI is overhyped because AI in general is—yeah, it's the revolution that we all have to pay attention to. Do I think that the skills necessary to be an AI product manager are so distinct that you need to hire differently? No, I don't. That's not what I'm seeing. If you have a really curious product manager who's going all in, I think you're going to be okay. Some of the most AI-forward work happening at Pendo is not just product management. Our design team is going crazy. And I think one of the things that we're seeing is a blend between design and product, that they're always adjacent and connected; there's more sort of overlappiness now.” Todd (22:41 - 23:28) “I think about things like stickiness, which may not be an aggregate time, but how often are people coming back and checking in? And if you had this companion or this agent that you just could not live without, and it caused you to come into the product almost every day just to check in, but it's a fast check-in, like, a five-minute check-in, a ten-minute check-in, that's pretty darn sticky. That's a good metric. So, I like stickiness as a metric because it's measuring [things like], “Are you thinking about this product a lot?” And if you're thinking about it a lot, and like, you can't kind of live without it, you're going to go to it a lot, even if it's only a few minutes a day. Social media is like that. Thankfully I'm not addicted to TikTok or Instagram or anything like that, but I probably check it nearly every day. That's a pretty good metric. It gets part of my process of any products that you're checking every day is pretty darn good. So yeah, but I think we need to reframe the conversation not just total time. Like, how are we measuring outcomes and value, and I think that's what's ultimately going to win here.” Todd (39:57) Links LinkedIn: https://www.linkedin.com/in/toddaolson/  X: https://x.com/tolson  todd@pendo.io 

Send us feedback or episode suggestions.Design systems aren't just a UI toolkit—they're the backbone of digital product creation and management. In this episode, engineer and researcher Steve Dodier-Lazaro joins Chris Strahl to unpack why treating design systems like standalone products is holding teams back. They explore what it really takes to scale product design and development in enterprise environments—from shared tooling and token standards to how AI and LLMs can bridge messy, real-world workflows.In this episode:Why design systems are dependencies, not deliverablesTools and standards shaping the future of digital productionHow AI will reshape the infrastructure behind design and engineeringView the transcript of this episode.Check out our upcoming events.If you want to get in touch with the show, ask some questions, or tell us what you think, send us a message over on LinkedIn.GuestSteve is a freelance software engineer specialised in design systems and frontend development based in Seine Saint-Denis, France. Steve is dedicated to advancing the design system tooling ecosystem through his open-source contributions as a community advocate, addon author and contributor to Storybook, and through projects around design token tooling.HostChris Strahl is co-founder and CEO of Knapsack, host of @TheDSPod, DnD DM, and occasional river guide. You can find Chris on Twitter as @chrisstrahl and on LinkedIn.SponsorSponsored by Knapsack, the design system platform that brings teams together. Learn more at knapsack.cloud.

Today we are talking about Drupal Hooks, why they got changed in core, and what to do now with guest Karoly Négyesi better known as Chx. We'll also cover Media Folders as our module of the week. For show notes visit: https://www.talkingDrupal.com/510 Topics Deep Dive into Drupal Hooks The Evolution of Drupal Hooks Challenges and Solutions in Hook Conversion Community Involvement and Contributions The Future of Drupal Hook System Introduction to Procedural Hooks Understanding Theme Hooks Complexities of Preprocess Hooks Converting Hooks to Object-Oriented Impact on Contributed Modules Challenges in Core Conversion Future of Drupal Hooks Lightning Round and Conclusion Resources Hooks becoming OOP Convert everything everwhere all at once Conversion script Conversion patches Ordering hooks OOP Preprocess hooks Render API change 2009 issue for form api ungrokable 2007 change for calling themes hook Giant issue with all of the hook related links Longest hook in core: entity_query_tag__entity_test_mulrev__entity_query_entity_test_mulrev_alter_tag_test_alter Guests Károly Negyesi - ghost-of-drupal-past Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Martin Anderson-Clutz - mandclu.com mandclu MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to have your Drupal site's media assets presented in a UI that evokes the hierarchy of a filesystem? There's a module for that. Module name/project name: Media Folders Brief history How old: created in Apr 2025 by João Mauricio (jmauricio) Versions available: 1.0.3 which supports Drupal 10.3 and 11 Maintainership Actively maintained Security coverage Test coverage Number of open issues: 9 open issues, 2 of which are bugs, although one was just fixed Usage stats: 61 sites Module features and usage The module mimics a file structure by associating media entities with a taxonomy hierarchy It then provides an intuitive, drag-and-drop UI to move items between locations, drag in new items, or even search within a particular “folder”, including a recursive search When you drag in files, it uses “smart” logic to automatically assign files to Media bundles It provides a form display widget, a view display widget, a CKEditor plugin, and it's compatible with other filesystem modules, like S3 File System This kind of interface is a requirement I've seen in RFPs by companies looking for a new CMS, so having this available as a drop-in solution

Work progresses on code name "Bento Fit" as Steve does some performance refactoring using Aider and Claude 4 Sonnet while Kotaro polishes up the iOS 26 UI changes. We also have a discussion on the trade-offs of using "AI" tools in programming and the importance of intellectual labor and little bit about what it means to be a "professional."## Show Notes- BentoFit: The Story So far- Steve: Improved loading time by “pair programming” with Aider and Claude Sonnet 4- Kotaro: iOS 26 UI updates- Next: - Kotaro: Dashboard interactions, customization - Steve: Independent loading of views, more HealthKit types - Aaron: Workout trends- Are LLMs Making us Dumber? - MIT Media Lab paper: https://www.media.mit.edu/publications/your-brain-on-chatgpt/ - Cal Newport discussing the results of MIT Media Lab paper: https://youtu.be/LB73n33cHOY- Wrap-Up- One more thing: Azam Sharp Foundation Models Framework Course - https://azamsharp.teachable.com/p/getting-started-with-the-foundation-models-framework - Coupon code: PHILLY - Discount: 40% - Expires: July 31st, 2025## Chapters00:00 Introductions01:47 Bento Fit: The Story So Far04:05 "Pair Programming" With Aider and Claude Sonnet 424:55 iOS 26 UI Updates31:55 Bento Fit: Next Sprint37:45 The Trade-Offs of "AI" in Programming43:34 The Importance of Intellectual Labor54:43 Apple's "AI" Bet01:05:25 Wrap-Up01:05:51 One More Thing...01:07:31 TagIntro music: "When I Hit the Floor", © 2021 Lorne Behrman. Used with permission of the artist.

Zack Kayser, Staff Software Engineer at cars.com, joins Elixir Wizards Sundi Myint and Charles Suggs to discuss how Cars.com adopted a server-driven UI (SDUI) architecture powered by Elixir and GraphQL to deliver consistent, updatable interfaces across web, iOS, and Android. We explore why SDUI matters for feature velocity, how a mature design system and schema planning make it feasible, and what it takes, culturally and technically, to move UI logic from client code into a unified backend. Key topics discussed in this episode: SDUI fundamentals and how it differs from traditional server-side rendering GraphQL as the single source of truth for UI components and layouts Defining abstract UI components on the server to eliminate duplicate logic Leveraging a robust design system as the foundation for SDUI success API-first development and cross-team coordination for schema changes Mock data strategies for early UI feedback without breaking clients Handling breaking changes and hot-fix deployments via server-side updates Enabling flexible layouts and A/B testing through server-controlled ordering Balancing server-driven vs. client-managed UI Iterative SDUI rollout versus “big-bang” migrations in large codebases Using type specs and Dialyxir for clear cross-team communication Integration testing at the GraphQL layer to catch UI regressions early Quality engineering's role in validating server-driven interfaces Production rollback strategies across web and native platforms Considerations for greenfield projects adopting SDUI from day one Zack and Ethan's upcoming Instrumenting Elixir Apps book Links mentioned: https://cars.com https://github.com/absinthe-graphql/absinthe Telemetry & Observability for Elixir Apps Ep: https://youtu.be/1V2xEPqqCso https://www.phoenixframework.org/blog/phoenix-liveview-1.0-released https://hexdocs.pm/phoenixliveview/assigns-eex.html https://graphql.org/ https://tailwindcss.com/ https://github.com/jeremyjh/dialyxir https://github.com/rrrene/credo GraphQL Schema https://graphql.org/learn/schema/ SwiftUI https://developer.apple.com/documentation/swiftui/  Kotlin https://kotlinlang.org/ https://medium.com/airbnb-engineering/a-deep-dive-into-airbnbs-server-driven-ui-system-842244c5f5 Zack's Twitter: https://x.com/kayserzl/ Zack's LinkedIn: https://www.linkedin.com/in/zack-kayser-93b96b88  Special Guest: Zack Kayser.

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