Podcasts about frontend

Dans cet épisode, on parle de TypeScript 6 et 7 ! Notes de l'épisode : - TypeScript Playground - Why Go ? La réponse officielle de l'équipe TypeScript - Go over Rust : Le débat qui a suivi (Rust vs Go) - L'article de Benjamin sur la Compilation vs Transpiration Front-End Chronicles est un podcast indépendant créé par deux devs passionnés : Benjamin Auzanneau et Denis Souron. Si vous êtes une société / une association / une personne, n'hésitez pas venir nous parler pour des questions ou si jamais vous avez des idées pour les prochains Front-End Chronicles !Nos MP et/ou les commentaires sont ouverts !Vous pouvez nous retrouver sur : https://front-end-chronicles.github.io https://www.linkedin.com/in/bauzanneau/ https://bsky.app/profile/necraidan.bsky.social https://www.linkedin.com/in/denis-souron/ Musique du générique : Welcome to Legacy par Benjamin Auzanneau

Żaneta Sochoń, frontend developerka i specjalistka ds. dostępności cyfrowej, opowiada o tym, dlaczego użyteczność w sieci to szansa na lepszy produkt i dodatkowy zysk, a nie tylko uciążliwy przymus. [more] Rozmawiamy m.in. o tym, jak projektować technologie stawiając człowieka na pierwszym miejscu, dlaczego nie tylko frontend odpowiada za dostępność oraz co przyniesie branży Europejski Akt o Dostępności (EAA). Pełen opis odcinka, polecane materiały i linki oraz transkrypcję znajdziesz na: https://devmentor.pl/?p=16626 || devmentor.pl/rozmowa ⬅ Chcesz przebranżowić się do IT i poznać rozwiązania, które innym pozwoliły skutecznie znaleźć pracę? Jestem doświadczonym developerem oraz mentorem programowania – chętnie odpowiem na Twoje pytania o naukę programowania oraz świat IT. Umów się na bezpłatną, niezobowiązującą rozmowę! ~ Mateusz Bogolubow, twórca podcastu Pierwsze kroki w IT || devmentor.pl/podcast ⬅ Oficjalna strona podcastu

Here is Debbie in her own words.With over 15 years experience in Frontend development I have worked as a Tech Lead and consultant for many important clients with various technologies and often with a strong focus on performance. I have lead teams both in house and remotely as well as giving workshops and training. I have many years of experience as a mentor for online learning platforms, Treehouse and OpenClassrooms and am a teacher at Vue School as well as Jamstack Explorers, and I am a writer for Ultimate Courses.I am a Platform Engineer – Applied AI at Zephyr Cloud, Google Developer Expert in web technologies, Nuxt Ambassador, and am a former Microsoft Most Valuable Professional in developer technologies, Media Developer Expert and GitHub Star Alumni.I have a special love for JavaScript frameworks especially Vue.js and Nuxt.js and am now focused on testing especially end to end testing with Playwright. I have a Frontend and FullStack Tech Degree and am Microsoft certified. I am an international speaker, and have spoken at many meet-ups and conferences worldwide on many continents including Antarctica.I am Irish but live in Mallorca, Spain and when I am not writing code and studying new technologies you can find me doing all sorts of sports from running, cycling and skiing, body combat and of course Taekwondo as I am a 4th degree black belt.You can find Debbie on the following sites:BlueskyBlogLinkedInGitHubYouTubeXPLEASE SUBSCRIBE TO THE PODCASTSpotifyApple PodcastsYouTube MusicAmazon MusicRSS FeedYou can check out more episodes of Coffee and Open Source on https://www.coffeeandopensource.comCoffee and Open Source is hosted by Isaac Levin

Google Chrome engineer Adam Argyle breaks down why AI is bad at frontend development and CSS in particular. From LLM training data problems to the fact that LLMs can't see, the issues run deep. But it's not all doom! Adam shares a game-changing technique for getting creative AI generated UI by asking for low probability outputs, introduces tools like Impeccable and V0 for AI assisted CSS editing, and dives into agentic loop engineering with auto research, an overnight AI workflow he uses to ship improvements while he sleeps. Links Website: https://nerdy.dev/ YouTube: https://www.youtube.com/channel/UCBGr3ZMcV5jke40_Wrv3fNA Twitter: twitter.com/argyleink Github: github.com/argyleink Linkedin: https://www.linkedin.com/in/adamargyle Resources Why AI sucks at frontend: https://nerdy.dev/why-ai-sucks-at-front-end We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, 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. ChaptersSpecial Guests: Adam Argyle and Jack Herrington.

https://ng-poland.plIn this episode of the Angular Master Podcast, recorded live in Las Vegas at the Creator Studio POD in the GDE and Certified Lounge @ NEXT 2026, I sit down with Ankita Sood — Front-end Engineer, Google Developer Expert in Angular, and member of the Google Developer Advisory Board — to explore how AI is reshaping the frontend world.This is a practical, experience-driven conversation about what's really changing in how we design and build modern user interfaces.Ankita brings nearly a decade of frontend experience, and in this episode, we go beyond the hype to understand how AI is actually influencing the day-to-day work of developers — from architecture decisions to user experience and product thinking.We dive into how the role of a frontend developer is evolving, what opportunities are opening up for Angular developers in the AI space, and why Human-Computer Interaction is becoming more important than ever in the age of intelligent interfaces.You'll hear honest insights on:whether AI is simplifying frontend development or making it more complexhow to design meaningful user experiences when AI becomes part of the interfacewhere Angular truly shines in AI-powered applicationsthe biggest challenges teams face when integrating AI into real-world productsand how interfaces are becoming more adaptive and personalizedWe also talk about the skills developers should focus on to stay relevant, and what practical first steps you can take if you want to start combining Angular with AI today.If you're a frontend developer trying to understand where things are heading — and how to stay ahead — this episode gives you a clear, grounded perspective.No hype. No theory. Just real-world insights from someone deeply involved in the ecosystem.

Wie hat dir die Folge gefallen?Gut

Benjamin Yerushalmi, senior vice president of partners and alliances at OutSystems OutSystems launched its redesigned Elevate partner program in late February – a ground-up rethink that moves away from volume-based incentives toward a point-based earned level model weighted toward AI credentials and delivery outcomes. To walk through what changed and why, I spoke with Benjamin Yerushalmi, OutSystems’ senior vice president of partners and alliances and a three-time CRN Channel Chief, who came to OutSystems from Automation Anywhere and before that spent seven years at Salesforce building global alliance teams. That arc across three major technology waves gives him an interesting vantage point on what actually gets partners to invest – and how the pitch changes when you’re not working for a juggernaut. The most substantive part of the conversation is about where the services work is moving. Ben describes a clear shift toward front-end advisory – design, architecture, change management, understanding how AI agents will function alongside people – and away from pure back-end implementation. Partners are also doing more objection handling earlier in the cycle, including making the case against what Ben calls “vibe coding tools.” His line: you’re using a vibe coding tool, you’re gonna get vibe code. We also got into the Elevate mechanics: the Elite Delivery Partner credential (earned per individual, not per organization, which changes the calculus for smaller shops), how OutSystems is weighting points toward Agent Workbench and ODC to drive partner behavior toward newer AI products, and Ben’s framing of the competitive landscape as convergence and coexistence rather than zero-sum competition with Microsoft, ServiceNow, and Salesforce. OutSystems is an enterprise play, and not every shop in our audience is landing these deals. But the conversation about where partner economics are heading in the agentic AI era applies well beyond any single vendor’s program. Read Full Transcript Robert Dutt: Hello and welcome to In The Channel from ChannelBuzz.ca, bringing news and information to the Canadian IT channel community for the last 16 years. I’m Robert Dutt, editor of ChannelBuzz.ca, and your host for the show. My guest today is Benjamin Yerushalmi, senior vice president of partners and alliances at OutSystems, the enterprise low-code and AI development platform. Ben is a three-time CRN channel chief who spent the last decade-plus building partner ecosystems at Salesforce, Automation Anywhere, and now OutSystems – three companies that each represent a different wave of technology transformation, from cloud CRM to intelligent automation to what’s now being called the agentic AI era. OutSystems recently launched Elevate, a ground-up redesign of its partner program that shifts the incentive model away from volume and toward outcomes, customer satisfaction, and AI credentials. Now, OutSystems may not be a name that’s top of mind for a lot of solution providers in our audience, but the conversation we had touches on questions that are very much in play for every partner right now. What does an agentic AI engagement actually look like from a services standpoint? How is the work shifting from implementation to advisory? And what do you do when a customer asks why they shouldn’t just use a vibe coding tool instead? Let’s get right into it. My chat with Ben Yerushalmi. Robert Dutt: Ben, thanks for taking the time. I appreciate it. Ben Yerushalmi: Thank you for having me. Robert Dutt: The last time we spoke, you were at Automation Anywhere – it was their event in Austin a couple years ago. Before that, you were with Salesforce, now OutSystems. Three very different platforms, but in all of them you’ve been building or revamping a partner ecosystem around a technology wave. What’s the thread that connects those experiences for you? What have you learned about what actually works when you’re asking partners to bet on something, especially when it’s early innings of that particular wave? Ben Yerushalmi: Great question. It’s interesting, because three very different experiences. When you’re with a company like Salesforce, Salesforce is a juggernaut in a lot of respects. There are a lot of partners who are very invested in your success. They’ve got big business units, big practices, and there’s a clear ROI. Salesforce is creating a lot of demand in the market. When you’re with a mid-sized software company like Automation Anywhere or OutSystems, the challenge is still the same – you have to present them with a reasonable business case for investing in your technology and then going to market with you. Because you don’t have a shiny blue cloud on your business card, I think it’s a much bigger challenge. You have to do things like build a partner program that’s designed for growth, build a partner program with clear benefits to the partners about how they’re going to lean in, why they’re going to lean in, how they’re going to engage with your brand. It is a slightly different challenge – or a vastly different challenge. And when you’re with the smaller companies, the need to move fast is so urgent, especially where we are right now in this market with AI impacting everything we do. Messaging is changing, the go-to-market models are changing, the expectations of our customers are changing. Building a program that can be flexible, fast-moving, and built for growth is just super critical. Robert Dutt: OutSystems has been around for 25 years now, but Elevate feels like a pretty significant rethink of how you engage partners. I suspect your previous answer may have covered some of the territory, but what was broken – or not working well enough – about the old model that made you say, “All right, fresh sheet of paper, let’s do something new here”? Ben Yerushalmi: Look, nothing was broken. We had a functioning partner program that evolved over time, and none of the iterations it evolved through looked like the market we’re in today. We really needed to take a step back and strategically look at the program, think about what needed to be built in that could move at the pace of the market and give the ecosystem the things it was going to need to grow. For example, if you look at the old program – big emphasis on new logos, big emphasis on partners that had the implementation skills. Both super important, but only a fraction of how our partner ecosystem adds value to our brand, to our customers, and in the things they do to drive outcomes. We really had to reposition the program. First, pivot everything toward AI – everything from how we measure financial impact, to how we reward training and enablement, to how we measure CSAT and outcomes. Everything had to shift to AI. We also had to acknowledge all of the different ways that partners add value. Not just sourcing new logos, but co-sell, resell, managed service, MSP, ISV – and not just new logo acquisition, but growth in our existing accounts. Partners source business in our existing accounts. Partners are the best set of people to go in – especially when they apply their AI expertise, their industry expertise – and really grow our footprint at those accounts and truly drive outcomes and value for our customers. We had to acknowledge that. We also had to think about what we could build into the program to incent our ecosystem to be thinking about industries, to be thinking about agentic solutions, and to drive that behavior. Robert Dutt: One of the things that jumps out about Elevate is the shift toward earned levels based on outcomes and customer sat rather than just volume. That’s a trend we’re seeing across the industry. But it does raise the question: does that model inherently favor larger partners who can invest in multiple certifications and have that CSAT infrastructure, or is there a path for smaller partners as well? Ben Yerushalmi: There is. We have a number of examples of smaller-scale partners that have achieved some of the higher levels in the program. We also have examples of smaller partners who are on path to achieve Elite Delivery Partner status – because it’s not one credential per person. One person can have multiple credentials across the different disciplines. It doesn’t necessarily favor large partners. Now, when we launch Global Strategic – which would be a tier sitting above Platinum – that may, just because of sheer scale, favor larger partners. That said, our company is going to run on the strength of our Silver partners, our Gold partners. It truly takes partners across all of those levels to build a healthy go-to-market. I’m not terribly concerned about where smaller partners are going to find their place in the program. The other thing – and I’ve gotten a lot of questions about this – the Premier level in the old program basically maps to Gold in the new program. Platinum is effectively the level above that for partners to strive for. Robert Dutt: You’ve weighted agentic AI credentials pretty heavily in the point system, for obvious reasons. How are you credentialing something that’s that new and that quickly evolving? What does an agentic AI competency look like for a partner today versus what you expect it to look like a year from now? Ben Yerushalmi: You tell me what the market’s going to look like a year from now. What we’re doing right now is putting emphasis on our AI-built components. For example, Agent Workbench is going to carry a higher number of points in the program than O11. ODC is going to have a higher number of points than O11. As we continue to release additional AI-built products, we’ll continue that over-weighting. It’s simple – it’s trying to encourage a behavior. Staying at pace with the market is a massive challenge. One of the things we need to make sure is that as fast as we’re moving, as fast as our messaging evolves to meet the demands of the market, our partners have to come along with us. Partner enablement is one of the most important things we’re going to do this year – around messaging, around hands-on product enablement on all of the innovation we’re bringing to market. Because we want to encourage partners to go out and get those credentials, we’re putting the weighting in the program. It’s also a faster path to up-leveling within the program. Retooling all of your practitioners is something we need all of our partners to do – it’s a big undertaking. Robert Dutt: Everyone in the industry is talking about agentic AI. You touched on the role of Agent Workbench and how it’s a core piece for you. Curious what you’re hearing from a partner economics standpoint – when a partner takes on an agentic AI engagement, what does that actually look like? Is it a dev project, a consulting engagement, something that becomes a managed service? What are you seeing as the motion for partners today? Ben Yerushalmi: That’s a great question. We’ve historically had – maybe a small army, but a really great ecosystem of – partners with strong technical skills that did a really great job of implementing. We were a leader in the low-code space, implementing rapid application development and doing great things for our customers. We had a lot of folks that were really strong on the back end of a project, on the implementation side. What we’re seeing now with agentic is that there’s a lot more work for partners on the front end – on the design, on the architecture, on thinking through the downstream change management implications, the way agents are going to have to work within the current corporate and IT environment. Just to use the most common example: if you’ve got an agent working alongside humans with humans in the loop, that impacts how an organization functions. You need to be thinking through those things on the early side of these engagements. So we’re seeing a shift to more work on the front end, because you’re not just thinking about how do I architect the solution and how do I build it – you’re thinking about all of the downstream impact on how an organization functions. We’re also seeing a lot more experimentation. What can these tools do? What can these agents really do? Our partners are being asked what the best technology is. Our partners are being asked to evaluate us alongside other technologies. We’re seeing competition from all directions, and our partners really need to understand how to sell the value of our platform and handle a lot of the objection handling earlier in the cycle. Why can’t I just use a vibe coding tool, for example, versus Mentor or Agent Workbench? We always go back to the platform messaging – if you’re using a vibe coding tool, you’re going to get vibe code. At the end of the day, you still need a platform that takes care of governance, security, privacy, compliance. But our partners are being asked all those questions up front. There’s a lot more advisory that now goes into any level of engagement. Robert Dutt: Along the same lines but with a slightly different take – where are you seeing partners actually generating revenue with agentic AI today, versus where is it still more of “we see the opportunity, we’re investing, and expect the payoff in a year or so”? Ben Yerushalmi: Look, I think the end state for a lot of this is envisioning multi-agent systems operating within our customers’ technology and corporate environment. We are starting to see that emerge, and we’re starting to see our partners build multi-agent workflows – not just one-offs. These are starting to look like repeatable solutions, which is really great. Think about areas like claims processing – that’s one where you see a lot of examples. You’re starting to see people build claims assessment agents, claims orchestration agents, claims adjudication, and these are repeatable solutions. You’re also starting to see a lot of things, especially on consumer-facing apps, where digital agents are handling a lot of the customer interface. Those are things that are repeatable and can be used across industries. You’re starting to see really interesting things with voice-enabled agents. I listened to a demo just today where it was every bit as good as talking to a human – a natural language conversation, all built on the core components of OutSystems, and it can be used across industries. You’re also starting to see complex industry use cases. As we go to market in finance, in manufacturing, in public sector, we’re seeing our partners bring repeatable solutions for a joint go-to-market. In addition to the things we’re building, we’re starting to see our partners lean into those industries, bring those repeatable solutions, and color outside the areas where we’re investing so we can cover off other industries. We’re also launching a program within Elevate that contains the framework for industry-focused go-to-market programs. Robert Dutt: A bit earlier, you mentioned there is a space and a motion for the smaller deep-dive specialist kind of partner to succeed with you. Given that a lot of our audience – especially here in Canada – is smaller solution providers, MSPs, VARs, people who live in the Microsoft ecosystem and serve the mid-market, can you elaborate on what makes for a successful partner for OutSystems in that space? What are the common threads you see, and what do those partners typically get out of it? Ben Yerushalmi: One of the things we’re seeing is partners investing in getting the Elite Delivery Partner status. Before, we just had Delivery Partner – a fairly low threshold. Now we have the Elite Delivery Partner threshold, which is an indication to our customers that our partners, big and small, know our platform every bit as well as our professional services team. Reaching EDP is something that can be done by large and small partners alike, and that’s where we’re going to tend to recommend partners who have achieved those higher levels. Those are the partners that will likely get subcontracting work from us – that becomes super important. It also doesn’t take a large partner to invest in an industry solution. You need to be thinking about the demands of the market you want to serve and where you want to make those investments. It doesn’t take a large partner to offer a managed service. Those are all things that drive faster time to market and faster time to value for our customers. Having a niche in a market where you can sell is also important, because financial impact is a big component of how you level up in the program. We have small to mid-sized partners that have achieved the top tier. You need to be thinking about the buckets of contribution – co-sell, resell, anything adding financial impact, new logos, credentials, CSAT, program track. All of those buckets contain a lot of different areas to earn points for partners that don’t have a giant GSI logo. It was really designed for partners of all sizes. Silver, Gold, even Bronze partners are adding a ton of value to our customers. Our sellers recognize who they need to align with in a given market. We’re also putting tools in the hands of our PAMs and sellers so they can understand the capability, capacity, and competency of every partner in our ecosystem – who knows how to sell our platform, who has flawless delivery, who has expertise in a given industry or geo or domain – so that we can really arm our sellers with the information they need to align with the right partner. Robert Dutt: For a partner who’s living in that Microsoft-centric world and has started delivering Power Platform to their customers, what’s the conversation? Is there a both/and at different tiers of the market, or do you see OutSystems occupying a fundamentally different space? Ben Yerushalmi: Great question. Look, just about everywhere I’ve worked, I’ve competed with Microsoft – I’ve never worked for Microsoft. They’re a great company. Here, as at Automation Anywhere, the question of how we compete with Microsoft has come up. I think at the end of the day, it’s going to be co-opetition in a lot of ways, because there is room for coexistence at a lot of our customers. If you step back and look at the competition – from vibe coding tools to a lot of the traditional players – I think where we all converge is around agentic. The Gartner BOAT quadrant – Business Orchestration and Automation Technology – came out about nine months ago. It has the automation players, the low-code players, some of the big ISVs like Salesforce, ServiceNow, and Microsoft, and the process orchestration players like Pega and Appian – and where we all converge is around agentic. I need to be able to compete and win against each one of those players and understand exactly how I’m going to do that. But I also have to understand that in any enterprise architecture, we’re going to need to coexist. We have partnerships with a number of the companies we compete with in that quadrant. I always want to win when we’re going toe to toe, but the right solution for a customer may have one, two, or more of those players in a given solution. There are some great companies in that mix, and we’re going to need to work alongside them. Robert Dutt: You’ve now built partner programs across cloud CRM, RPA, and low-code/agentic AI – three waves of technology. If you had to tell a solution provider today where to place their bets for the next three to five years in terms of building a practice and generating new service revenue – not necessarily OutSystems-specific, but across the industry – what would you tell them? Ben Yerushalmi: Flexibility has to be inherent in everything people do. The ability to move at speed and adapt has to be critical. Every company is under pressure to do something with AI – not I think, I know. So people who are investing need to be thinking about skating to where the puck is going. I woke up too early this morning and was reading the news, and there was a fully AI-enabled humanoid robot at the White House. You see stuff like that and you think, where is all of this headed? But you know there is a world of changing work patterns, a world where AI touches every aspect of everybody’s job. You’ve got to think about the technologies that are going to help companies get to that clearly agentic future. And at OutSystems, we obviously believe we are well positioned to tackle that challenge. But you also have to think about this: it’s not just having those hands-on keyboard skills anymore. Customers want people who can take them on that journey. They want partners who can help them think about what are the high-value use cases, how are we going to architect that into our existing enterprise architecture, how are we going to build the applications – and then also manage all of the downstream implications and continue to evolve what we’ve built. Because if you look at a lot of the technologies out there today, they’re cool, they’re exciting, but the second you roll them out, you’re creating technical debt. You need to be making bets in platforms that are going to evolve with the market. Robert Dutt: Last question. A year from now, what does success look like for Elevate? What’s the number or the outcome that tells you this worked? Ben Yerushalmi: What we rolled out in February was half of the vision. There’s still a lot coming. Working through the roadmap of additional elements to Elevate is going to be really important – everything from how we leverage MDF and rethink that model, to how we rebuild our resell model to promote growth in the market, to continuing to stay ahead of the enablement challenge. But if I step back – when I originally talked about Elevate, it was about building a program built for growth. As we continue to be a partner-first organization, success looks like seeing partners successful in the program, being able to level up to wherever they want to be contributing, having partners invest in solutions that drive faster time to value for our customers and really help them move into this agentic future, and having our partners clearly driving successful outcomes with AI and agentic for our customers. At the end of the day, it’s not about Elevate partner program success. It’s really about OutSystems, and OutSystems customer and partner success, that matters. If we can sit quietly in the background and see our partners successful, see us continue to grow, and see our customers realize amazing agentic outcomes on our platform – that’s success. And then I can just sort of ride off into the sunset. Robert Dutt: Sounds like a plan – although it sounds like you’ve already got phase two well in mind, so I don’t think you’re riding off any time soon. Ben, thank you for taking the time. I appreciate it. Ben Yerushalmi: Thank you. Robert Dutt: There you have it, Ben Yerushalmi from OutSystems. I’d like to thank Ben for his time – and I thought it was a pretty candid look at how a vendor thinks about structuring a partner program in a market that’s moving as fast as this one. And I want to thank you for listening, as always. A few things that stood out for me from this conversation. First, the shift Ben described from partners doing mostly back-end implementation work to doing a lot more on the front end – design, architecture, change management, helping customers think through how AI agents are actually going to work alongside their people. That’s not unique to OutSystems. If you’re a solution provider building any kind of AI-adjacent practice right now, that front-end advisory is where the value is moving, and it’s a different set of muscles than a lot of partners have built over the years. Second, his point about the Elite Delivery Partner credential being something an individual can earn – not something that requires organizational scale – was worth paying attention to. As the industry moves toward outcome-based partner programs – and it is, across the board – understanding which programs are genuinely accessible to smaller firms and which just say they are is going to be a real differentiator in where you invest your time. And third, the convergence point. Ben talked about the Gartner BOAT category putting low-code vendors, automation vendors, process orchestration players, and the big ISVs like Microsoft, Salesforce, and ServiceNow all in the same quadrant. His argument is that agentic AI is the thread that ties them all together. Whether that’s true or just convenient framing, it’s worth thinking about – because wherever you sit in the channel, you’re going to be navigating that convergence whether you planned on it or not. If you’re enjoying the ChannelBuzz.ca podcast, you can find us on Apple Podcasts, Spotify, YouTube, and most podcast directories. Ratings and reviews are always appreciated – they do help people find the show. Until next time, I’m Robert Dutt for ChannelBuzz.ca, and I’ll see you in the channel.

Matt and Nic are back for more news and deals:  Jameson Lopp's BIP361 gets an official BIP number What about an official salvage process for the quantum-vulnerable Satoshi coins What about recycling Satoshi's bitcoins into long-term tail emissions Why the Satoshi freeze war will be unlike the Blocksize war Kraken confidential files for an IPO The SEC says defi frontends might not be broker dealers even if they list tokenized securities Goldman files for a Bitcoin ETF WLFi is having a feud with Justin Sun Ether Machine, an Ethereum DAT winds down There is a new Satoshi documentary coming out There is an A-list Hollywood movie coming out about Craig Wright Leo Aschenbrenner's secret Tether invests into Drift Protocol post-hack Why is USDC refusing to freeze funds after hacks? Do we need an "on-chain" Chancery Court for blockchains Content mentioned on this episode: Nic on X, How to resolve the matter of the Satoshi coins without a freeze  

Matt and Nic are back for more news and deals:  Jameson Lopp's BIP361 gets an official BIP number What about an official salvage process for the quantum-vulnerable Satoshi coins What about recycling Satoshi's bitcoins into long-term tail emissions Why the Satoshi freeze war will be unlike the Blocksize war Kraken confidential files for an IPO The SEC says defi frontends might not be broker dealers even if they list tokenized securities Goldman files for a Bitcoin ETF WLFi is having a feud with Justin Sun Ether Machine, an Ethereum DAT winds down There is a new Satoshi documentary coming out There is an A-list Hollywood movie coming out about Craig Wright Leo Aschenbrenner's secret Tether invests into Drift Protocol post-hack Why is USDC refusing to freeze funds after hacks? Do we need an "on-chain" Chancery Court for blockchains Content mentioned on this episode: Nic on X, How to resolve the matter of the Satoshi coins without a freeze  

Hoje o papo é sobre vibe coding! Neste episódio, mergulhamos no impacto da IA no fluxo do trabalho de devs, nas diferenças entre usar agentes na CLI ou na IDE, e como tudo isso está puxando profissionais sêniors de volta para o código. Vem ver quem participou desse papo: Paulo Silveira, o host que voltou a blogar Vinny Neves, Líder de Front-End na Alura Rafael Ribeiro, CTO da StartSe Mauricio Aniche, CTO da Alura Crisley Marques, Engenheira de Software IA/LLM na Alura Links: Blog do Paulo Claude Code OpenAI Codex Augment Cursor Windsurf GitHub Copilot Alura – Claude Code: criando sua primeira aplicação Inscreva-se na Hipsters.Builders, a newsletter da comunidade builder. Toda semana, a principal newsletter de quem constrói software no Brasil traz notícias, citações e movimentos da comunidade Builder do X, do Hipsters e do IA Sob Controle, além dos melhores links e eventos. Direto no seu e-mail. Vá para o Vale do Silício com Paulo Silveira, Marcell Almeida, Fabrício Carraro e Marcus Mendes na “Imersão IA Sob Controle e Alura no Vale do Silício“! Vagas limitadas, corra para reservar a sua. TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

Monorepo, Polyrepo, Frontend hier, Backend dort, Mobile-App nochmal woanders. Klingt nach sauberer Trennung, führt in der Praxis aber oft zu genau dem, was wir als Entwickler:innen am wenigsten brauchen: Reibung. Abhängige Pull Requests, aufeinander wartende Releases, doppelte Tooling-Arbeit und jede Menge Koordination zwischen Teams. Die spannende Frage ist also nicht nur, ob Monorepos ein Comeback feiern, sondern ob sie heute, mit besserem Tooling und AI im Rücken, endlich ihr Versprechen einlösen.In dieser Episode sprechen wir mit Max Kless, Senior Software Engineer bei Nx, über den aktuellen Stand von Monorepos. Wir klären, was ein Monorepo eigentlich ist, warum Monorepo nicht gleich Monorepo ist und wieso ein pragmatischer, hybrider Ansatz für viele Teams sinnvoller ist als ein einziges gigantisches Repository. Außerdem schauen wir auf CI, Caching, Project Graphs, Code Ownership, Plattform-Teams und die kulturelle Seite hinter dem Thema. Denn Monorepos sind nicht nur Architektur und Tooling, sondern auch Zusammenarbeit, Standards und ein bisschen Inner Source im Alltag.Besonders spannend wird es bei AI, LLMs und Coding Agents. Wenn mehr Kontext zu besserer Unterstützung führt, werden Monorepos plötzlich wieder hochrelevant. Wir diskutieren, warum ein gemeinsamer Code-Kontext für AI-Systeme ein echter Hebel sein kann, wo die Grenzen liegen und worauf du bei einer Einführung achten solltest. Wenn du wissen willst, ob Monorepos 2026 mehr sind als alter Google-Glanz, dann bist du hier genau richtig.Bonus: Selbst Jenkins bekommt einen kleinen Ehrenmoment.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

The Orioles are looking for more length out of their starting pitching staff. Can Shane Baz be the answer tongiht?

Hoje o papo é sobre o futuro da carreira em tecnologia! Neste episódio, mergulhamos nas transformações do desenvolvimento de software com o avanço da IA, incluindo o novo papel do dev, o impacto do “vibe coding”, e o retorno de profissionais sêniors ao código. Vem ver quem participou desse papo: Paulo Silveira, o host que voltou a ser host Deyvid Nascimento, desenvolvedor e o criador de conteúdo Mano Deyvin Vinny Neves, Líder de Front-End na Alura Links: Claude Code CEO do Shopify otimiza carregamento de templates em 53% em um fim de semana CloudFlare: Como nós reconstruímos o Next.js com IA em uma semana Cursor Augment Windsurf CEO da Shopify impõe nova regra: só há contratação se a IA não der conta do recado DHH: Testes de sistema falharam Estudo de Stanford sobre empregabilidade na era da IA Podcast IA Sob Controle Inscreva-se na Hipsters.Builders, a newsletter da comunidade builder. Toda semana, a principal newsletter de quem constrói software no Brasil traz notícias, citações e movimentos da comunidade Builder do X, do Hipsters e do IA Sob Controle, além dos melhores links e eventos. Direto no seu e-mail. Vá para o Vale do Silício com Paulo Silveira, Marcell Almeida, Fabrício Carraro e Marcus Mendes na “Imersão IA Sob Controle e Alura no Vale do Silício“! Vagas limitadas, corra para reservar a sua. TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

Hoje é o papo é sobre RH e tecnologia! Neste episódio, mergulhamos nos bastidores da Factorial para entender como tecnologia, produto e inteligência artificial estão sendo usados para transformar a gestão de pessoas. Vem ver quem participou desse papo: André David, o host que investiga as novidades do universo Vinny Neves, Líder de Front-End na Alura Renan Conde, CEO Brasil na Factorial Antonia Rocha, CRO Brasil na Factorial Links: Factorial Product Engineer: a nova cara da engenharia de software? Vagas abertas na Factorial Conheça o curso Soft Skills na era da IA: Como fortalecer metacompetências da Alura, e desenvolva inteligência emocional para gerir decisões e relações em contextos profissionais complexos. TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

Onto Innovation is a critical "choke point" in the semiconductor supply chain, providing the essential metrology and inspection gear that makes advanced packaging and high-bandwidth memory (HBM) possible. In this deep dive, we break down why their flagship Dragonfly system is a winner in the AI era and how the company is successfully pivoting growth toward Taiwan and South Korea to offset shifts in China.We also take a close look at Onto's rivalry with industry giant KLA Corp and how their recent Semi Lab acquisition is already fueling a massive ramp-up in 2026 revenue. With free cash flow per share exploding over the last five years, we're explaining why this mid-cap power player has earned its spot as a core long-term holding in our portfolio.Join us on Discord with Semiconductor Insider, sign up on our website: www.chipstockinvestor.com/membershipSupercharge your analysis with AI! Get 15% of your membership with our special link here: https://fiscal.ai/csi/Sign Up For Our Newsletter: https://mailchi.mp/b1228c12f284/sign-up-landing-page-short-formChapters:00:00 The "Fab Five" vs. Onto Innovation 02:22 Metrology, Yield, and Defect Control 03:26 Front-End vs. Advanced Packaging03:32 What is the Dragonfly? Optical Metrology Explained 04:20 High Bandwidth Memory (HBM) & GPU Integration 04:49 Financial Turnaround: Revenue & 2026 Forecasts 05:19 The Semi Lab Acquisition Impact 05:54 Geographic Shift: China vs. Taiwan & South Korea 07:55 Free Cash Flow Growth & Portfolio Status 08:38 Risks: Mind the Industry CycleIf you found this video useful, please make sure to like and subscribe!*********************************************************Affiliate links that are sprinkled in throughout this video. If something catches your eye and you decide to buy it, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction!Content in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal.#Semiconductors #Investing #OntoInnovation #AdvancedPackaging #AI #StockMarket #ChipStockInvestor #Metrology #HBMNick and Kasey own shares of Onto Innovation

Hoje é o papo é sobre .NET! Neste episódio, mergulhamos no ecossistema .NET: o que ele é hoje, como evoluiu ao longo dos anos e por que continua relevante no mercado de desenvolvimento. Conheça a importância da comunidade, as mudanças da Microsoft, e o impacto da IA no desenvolvimento. Vem ver quem participou desse papo: André David, o host que investiga as novidades do universo Vinny Neves, Líder de Front-End na Alura Guilherme Lima, Tech Educator e Professor na Alura e na USP  Links:  .NET .NET Core no Stack Overflow – Hipsters On The Road #20 ASP.NET Core – Hipsters #108 Presente e Futuro do .NET – Hipsters #26 Node Docker Top Gear (SNES) Feito no UNREAL ENGINE 5 JetBrains Aproveite a Semana do Consumidor e estude na Alura com até 35% OFF! Utilize o cupom SEMANADOCONSUMIDOR, válido até 20/3/26! TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

HR Technology is on a collision course with AI companies, desktop productivity tools, and middleware providers. Where is all this going? In this podcast I explain why this is a question of “back-end” vs. “front-end” and how the ERP software architectures of the past (present) are colliding with the AI tools and interfaces of the future. The bottom line is not “who wins” but rather how well do you think through the use-cases and employee experiences you want to provide? Read this article for more details and stay tuned for a bunch of announcements this week that will bring much of this to your company. Additional Information Get Ready For A Wild Time In HR Technology The World of Corporate Training Lurches Toward Enablement Digital Twins Are Here, And They Make You More Productive Get Galileo. We put ALL our research, case studies, and models in there. It's like the Bloomberg Terminal, Encyclopedia Britannica, and HR Expert with new research, vendors, and case studies every day.         Chapters (00:00:00) - HR Technology: The Future of IT(00:11:00) - The Future of HR IT Is AI

Hello and welcome to Front End Chatter, the motorcycling podcast, and none other than Episode 221 – they said we couldn't do it, but we've naysayed the naysayers. His name is Martin Fitz-Gibbons, editor of Bike magazine, and my name isn't but that's not important right now – what's important is we thank Bennetts, Britain's best motorcycle insurers who put more back into biking than insurance companies who put less back into biking, and some of whom put nothing back but merely take take take. Good people one and all. And also uber-thanks to the bikesocial.co.uk, the world of wokecycling on the web and on the YouTubes, with loads of news, views, new bike launches and road tests – all the good stuff.  Right, on with the show – and today Martin and Simon, for it is he, opine about, in no particular order... • Suzuki's marvellous DRZ-Z4S and how old can be better than new • the loss of Phillip Island as a MotoGP circuit • Honda Hornet 1000 recall for excessive oil consumption • UK bikes sales stats for YTD up to Feb • fab epic bike doc by FortNine called Yalla Habibi • plus a selection of your fine emails from the FECSack.  As ever, please keep your questions and queries coming to anything@frontendchatter.com And thank you very much for listening!     

(00:00:00) Xadrez Verbal #451 Israel e EUA atacam o Irã (00:05:30) Giro de Notícias #01 Israel e EUA atacaram o Irã, que retaliou contra alvos nos países vizinhos e recebemos novamente nosso querido Heitor Loureiro para mais de duas horas de conversa, além de outro bloco com as últimas movimentações no sempre complicado tabuleiro do Oriente Médio.No mais, demos aquele tradicional pião pela nossa quebrada latino-americana, com destaque para o Equador expulsando o embaixador cubano de Quito.Se inscreva gratuitamente na Imersão Front-End da Alura: https://alura.tv/xadrezverbal-imersao-frontend-2026Campanha do livro A Teia da Vida, de Mila Massuda e Reinaldo José Lopes: https://www.catarse.me/teiadavidaCampanha e comunicado sobre nosso amigo Pirulla: https://www.pirulla.com.br/

Eligibility errors, missing documentation, and prior authorization gaps may seem small in the moment, but they quietly erode cash flow, inflate AR, and drive avoidable denials. In this episode, we break down why front-end breakdowns still matter most and how AI can either strengthen your foundation or expose the cracks in it.

@kat @odeio e @vidane se reúnem no Vortex 115 para discutir o que configura uma suruba, por que andam dando calote em motel e o que leva alguém à fila do bumbum guloso. Oferta especial nos planos usando o nosso link no Nordvpn: https://nordvpn.com/vortexpodou CUPOM: VORTEXPODGaranta sua vaga na imersão Front-End da Alura com o link do Vortequinho: https://alura.tv/vortex-imersao-frontend-3 Acesse o link do Vortex e ganhe DESCONTO ESPECIAL  na sua matrícula na Alura: https://www.alura.com.br/vortexou CUPOM: VORTEX Host: Katiucha Barcelos. Instagram: @katbarcelos | Twitter/X: @katiuchaCo-Host: Pedro Pinheiro. Instagram: @odeiopepe | Twitter/X: @OdeioPePeConvidado: Príncipe Vidane. Instagram: @principevidane | Twitter/X: @principevidane | Twitch: twitch.tv/principevidane | Vocês também podem escutar o Vidane nos podcasts Dentro da Minha Cabeça,  e Pelada na Net Instagram: @feedvortexBluesky: @feedvortex.bsky.sociaTwitter: @feedvortexTiktok: @feedvortexReddit: r/feedvortexGrupo paralelo não-oficial do Vortex no telegram: https://t.me/+BHlkG92BfPU5ZjdhEsse grupo é dos ouvintes, para os ouvintes e pelos ouvintes. Não temos qualquer afiliação oficial ou responsabilidade por QUALQUER COISA falada neste grupoLinks comentados no episódio:Suruba com picanha e muita cerveja acaba com homens presos em motelHomem destrói portão de motel para não pagar conta de R$ 900Câmera flagra pum Empina, toma e mama: fila do “bumbum guloso” ferve atrás de atacadão no DFProdução: Thyara Castro, Bruno Azevedo e Aparecido SantosEdição: Joel SukeIlustração da capa: Brann Sousa

En este episodio de No Hay Tos, Héctor y Beto entrevistan a Daniel, ingeniero en sistemas, sobre cómo es trabajar en tech en México. Hablan del uso diario del inglés y el spanglish, los tipos de proyectos (backend, frontend, nube, integración), las oportunidades internacionales y el ambiente laboral, desde empresas exigentes hasta startups con mejores condiciones y trabajo remoto. También comentan el estado de la ciberseguridad en México y comparten consejos prácticos para protegerse en línea. If you'd like to listen to our episodes ad-free and get the full word-for-word transcript of this episode — including English explanations and translations of Mexican slang and colloquial expressions — visit us on Patreon. You can also find more content and resources on our website: nohaytospodcast.com If the podcast has been helpful to you, please leave us a review on Apple Podcasts — it really helps! And if you prefer video, check out our YouTube channel. No Hay Tos is a Spanish podcast from Mexico for students who want to improve their listening comprehension, reinforce grammar, and learn about Mexican culture and Mexican Spanish. All rights reserved. No Hay Tos is a Spanish podcast from Mexico for students who want to improve their listening comprehension, reinforce grammar, and learn about Mexican culture and Mexican Spanish. All rights reserved.

Hoje o papo é sobre a experiência de quem desenvolve em dois cenários bem diferentes! Neste episódio, mergulhamos nos motivos que levaram ao surgimento de dois mundos distintos na experiência da pessoa desenvolvedora: o de DevOps, e o da engenharia de plataforma. Além disso, exploramos o que quem desenvolve precisa fazer para se adaptar e sobreviver em cada um desses contextos. Vem ver quem participou desse papo! André David, o host que vê o tamanho do sofrimento Vinny Neves, Líder de Front-End na Alura Igor Regis, Especialista em TI (Distinguished Software Engineer) no BB Links: O Projeto Fênix: um Romance Sobre TI, DevOps e Sobre Ajudar o seu Negócio a Vencer DORA Metrics Entrega Contínua: Como Entregar Software de Forma Rápida e Confiável SCA: Software Composition Analysis SAST: Static Application Security Testing DAST: Dynamic Application Security Testing Team Topologies, 2nd Edition: Organizing Business and Technology for Fast Flow of Value Garanta até 30% de desconto para estudar por até dois anos na Alura antes do preço subir! TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

Frictionless checkout has become one of the most discussed topics in retail technology. But for enterprise retailers, the real question is not whether checkout can be frictionless. It is whether it can perform consistently under pressure. Checkout is where throughput, labor efficiency, compliance, and shrink converge. It is the operational control point of the store. In a conversation hosted by Emily Crowe, Editor-in-Chief at Progressive Grocer, Matt Redwood, VP Retail Technology Solutions at Diebold Nixdorf, joined Zara Ngouen, VP Information Technology at Lidl US, to examine what modern AI-enabled checkout requires at scale. The discussion explores how retailers are applying AI-powered age verification to reduce associate interventions while strengthening regulatory compliance. It addresses how real-time behavioral analytics can proactively identify risk patterns and support shrink reduction strategies. And it examines how retailers are redesigning front-end environments to balance automation with human oversight, preserving both efficiency and customer trust. A key theme throughout the conversation is that frictionless checkout is not about removing people or layering in disconnected technology. It is about intelligent retail infrastructure. AI, software, hardware, and services must work together to optimize front-end performance across diverse store formats. As labor volatility continues and cost pressure intensifies, front-end optimization has become a strategic priority. Retailers are rethinking checkout architecture not only to improve customer experience, but to strengthen operational resilience, reduce shrink exposure, and scale modernization efforts across large store estates. For retail executives evaluating AI checkout solutions, loss prevention technology, and automation strategies, this episode offers practical insight into how leading organizations are approaching front-end transformation today.

In this episode of Talking Industrial Automation, host Lisa Richter sits down with Guru Thakkar, Director of Engineering at Inflexion Point in Neptune, New Jersey. With more than 20 years of experience across pharmaceutical, life sciences, food & beverage, utilities, and building automation, Guru shares how disciplined front-end engineering, standardization, and strong technical fundamentals set the stage for long-term success. From scaling Inflection Point organically from 40 to over 100 employees, to supporting Operation Warp Speed during COVID, Guru explains why early design decisions, rigorous testing, and lifecycle thinking matter more than ever. The conversation explores: What it really means to "put the brain" into industrial systems Why turnkey integration across all layers (from sensors to enterprise systems) is becoming essential How system integrators are navigating AI, cybersecurity, and digital transformation The growing complexity of pharma manufacturing and single-use equipment Why trust, repeat business, and sound non-technical business practices drive sustainable growth Whether you're an end user, engineer, or integrator, this episode offers a thoughtful look at how intelligent systems are shaping the future of process automation—and why fundamentals still matter in a rapidly evolving landscape.

Emmanuel et Guillaume discutent de divers sujets liés à la programmation, notamment les systèmes de fichiers en Java, le Data Oriented Programming, les défis de JPA avec Kotlin, et les nouvelles fonctionnalités de Quarkus. Ils explorent également des sujets un peu fous comme la création de datacenters dans l'espace. Pas mal d'architecture aussi. Enregistré le 13 février 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-337.mp3 ou en vidéo sur YouTube. News Langages Comment implémenter un file system en Java https://foojay.io/today/bootstrapping-a-java-file-system/ Créer un système de fichiers Java personnalisé avec NIO.2 pour des usages variés (VCS, archives, systèmes distants). Évolution Java: java.io.File (1.0) -> NIO (1.4) -> NIO.2 (1.7) pour personnalisation via FileSystem. Recommander conception préalable; API Java est orientée POSIX. Composants clés à considérer: Conception URI (scheme unique, chemin). Gestion de l'arborescence (BD, métadonnées, efficacité). Stockage binaire (emplacement, chiffrement, versions). Minimum pour démarrer (4 composants): Implémenter Path (représente fichier/répertoire). Étendre FileSystem (instance du système). Étendre FileSystemProvider (moteur, enregistré par scheme). Enregistrer FileSystemProvider via META-INF/services. Étapes suivantes: Couche BD (arborescence), opérations répertoire/fichier de base, stockage, tests. Processus long et exigeant, mais gratifiant.   Un article de brian goetz sur le futur du data oriented programming en Java https://openjdk.org/projects/amber/design-notes/beyond-records Le projet Amber de Java introduit les "carrier classes", une évolution des records qui permet plus de flexibilité tout en gardant les avantages du pattern matching et de la reconstruction Les records imposent des contraintes strictes (immutabilité, représentation exacte de l'état) qui limitent leur usage pour des classes avec état muable ou dérivé Les carrier classes permettent de déclarer une state description complète et canonique sans imposer que la représentation interne corresponde exactement à l'API publique Le modificateur "component" sur les champs permet au compilateur de dériver automatiquement les accesseurs pour les composants alignés avec la state description Les compact constructors sont généralisés aux carrier classes, générant automatiquement l'initialisation des component fields Les carrier classes supportent la déconstruction via pattern matching comme les records, rendant possible leur usage dans les instanceof et switch Les carrier interfaces permettent de définir une state description sur une interface, obligeant les implémentations à fournir les accesseurs correspondants L'extension entre carrier classes est possible, avec dérivation automatique des appels super() quand les composants parent sont subsumés par l'enfant Les records deviennent un cas particulier de carrier classes avec des contraintes supplémentaires (final, extends Record, component fields privés et finaux obligatoires) L'évolution compatible des records est améliorée en permettant l'ajout de composants en fin de liste et la déconstruction partielle par préfixe Comment éviter les pièges courants avec JPA et Kotlin - https://blog.jetbrains.com/idea/2026/01/how-to-avoid-common-pitfalls-with-jpa-and-kotlin/ JPA est une spécification Java pour la persistance objet-relationnel, mais son utilisation avec Kotlin présente des incompatibilités dues aux différences de conception des deux langages Les classes Kotlin sont finales par défaut, ce qui empêche la création de proxies par JPA pour le lazy loading et les opérations transactionnelles Le plugin kotlin-jpa génère automatiquement des constructeurs sans argument et rend les classes open, résolvant les problèmes de compatibilité Les data classes Kotlin ne sont pas adaptées aux entités JPA car elles génèrent equals/hashCode basés sur tous les champs, causant des problèmes avec les relations lazy L'utilisation de lateinit var pour les relations peut provoquer des exceptions si on accède aux propriétés avant leur initialisation par JPA Les types non-nullables Kotlin peuvent entrer en conflit avec le comportement de JPA qui initialise les entités avec des valeurs null temporaires Le backing field direct dans les getters/setters personnalisés peut contourner la logique de JPA et casser le lazy loading IntelliJ IDEA 2024.3 introduit des inspections pour détecter automatiquement ces problèmes et propose des quick-fixes L'IDE détecte les entités finales, les data classes inappropriées, les problèmes de constructeurs et l'usage incorrect de lateinit Ces nouvelles fonctionnalités aident les développeurs à éviter les bugs subtils liés à l'utilisation de JPA avec Kotlin Librairies Guide sur MapStruct @IterableMapping - https://www.baeldung.com/java-mapstruct-iterablemapping MapStruct est une bibliothèque Java pour générer automatiquement des mappers entre beans, l'annotation @IterableMapping permet de configurer finement le mapping de collections L'attribut dateFormat permet de formater automatiquement des dates lors du mapping de listes sans écrire de boucle manuelle L'attribut qualifiedByName permet de spécifier quelle méthode custom appliquer sur chaque élément de la collection à mapper Exemple d'usage : filtrer des données sensibles comme des mots de passe en mappant uniquement certains champs via une méthode dédiée L'attribut nullValueMappingStrategy permet de contrôler le comportement quand la collection source est null (retourner null ou une collection vide) L'annotation fonctionne pour tous types de collections Java (List, Set, etc.) et génère le code de boucle nécessaire Possibilité d'appliquer des formats numériques avec numberFormat pour convertir des nombres en chaînes avec un format spécifique MapStruct génère l'implémentation complète du mapper au moment de la compilation, éliminant le code boilerplate L'annotation peut être combinée avec @Named pour créer des méthodes de mapping réutilisables et nommées Le mapping des collections supporte les conversions de types complexes au-delà des simples conversions de types primitifs Accès aux fichiers Samba depuis Java avec JCIFS - https://www.baeldung.com/java-samba-jcifs JCIFS est une bibliothèque Java permettant d'accéder aux partages Samba/SMB sans monter de lecteur réseau, supportant le protocole SMB3 on pense aux galériens qui doivent se connecter aux systèmes dit legacy La configuration nécessite un contexte CIFS (CIFSContext) et des objets SmbFile pour représenter les ressources distantes L'authentification se fait via NtlmPasswordAuthenticator avec domaine, nom d'utilisateur et mot de passe La bibliothèque permet de lister les fichiers et dossiers avec listFiles() et vérifier leurs propriétés (taille, date de modification) Création de fichiers avec createNewFile() et de dossiers avec mkdir() ou mkdirs() pour créer toute une arborescence Suppression via delete() qui peut parcourir et supprimer récursivement des arborescences entières Copie de fichiers entre partages Samba avec copyTo(), mais impossibilité de copier depuis le système de fichiers local Pour copier depuis le système local, utilisation des streams SmbFileInputStream et SmbFileOutputStream Les opérations peuvent cibler différents serveurs Samba et différents partages (anonymes ou protégés par mot de passe) La bibliothèque s'intègre dans des blocs try-with-resources pour une gestion automatique des ressources Quarkus 3.31 - Support complet Java 25, nouveau packaging Maven et Panache Next - https://quarkus.io/blog/quarkus-3-31-released/ Support complet de Java 25 avec images runtime et native Nouveau packaging Maven de type quarkus avec lifecycle optimisé pour des builds plus rapides voici un article complet pour plus de detail https://quarkus.io/blog/building-large-applications/ Introduction de Panache Next, nouvelle génération avec meilleure expérience développeur et API unifiée ORM/Reactive Mise à jour vers Hibernate ORM 7.2, Reactive 3.2, Search 8.2 Support de Hibernate Spatial pour les données géospatiales Passage à Testcontainers 2 et JUnit 6 Annotations de sécurité supportées sur les repositories Jakarta Data Chiffrement des tokens OIDC pour les implémentations custom TokenStateManager Support OAuth 2.0 Pushed Authorization Requests dans l'extension OIDC Maven 3.9 maintenant requis minimum pour les projets Quarkus A2A Java SDK 1.0.0.Alpha1 - Alignement avec la spécification 1.0 du protocole Agent2Agent - https://quarkus.io/blog/a2a-java-sdk-1-0-0-alpha1/ Le SDK Java A2A implémente le protocole Agent2Agent qui permet la communication standardisée entre agents IA pour découvrir des capacités, déléguer des tâches et collaborer Passage à la version 1.0 de la spécification marque la transition d'expérimental à production-ready avec des changements cassants assumés Modernisation complète du module spec avec des Java records partout remplaçant le mix précédent de classes et records pour plus de cohérence Adoption de Protocol Buffers comme source de vérité avec des mappers MapStruct pour la conversion et Gson pour JSON-RPC Les builders utilisent maintenant des méthodes factory statiques au lieu de constructeurs publics suivant les best practices Java modernes Introduction de trois BOMs Maven pour simplifier la gestion des dépendances du SDK core, des extensions et des implémentations de référence Quarkus AgentCard évolue avec une liste supportedInterfaces remplaçant url et preferredTransport pour plus de flexibilité dans la déclaration des protocoles Support de la pagination ajouté pour ListTasks et les endpoints de configuration des notifications push avec des wrappers Result appropriés Interface A2AHttpClient pluggable permettant des implémentations HTTP personnalisées avec une implémentation Vert.x fournie Travail continu vers la conformité complète avec le TCK 1.0 en cours de développement parallèlement à la finalisation de la spécification Pourquoi Quarkus finit par "cliquer" : les 10 questions que se posent les développeurs Java - https://www.the-main-thread.com/p/quarkus-java-developers-top-questions-2025 un article qui revele et repond aux questions des gens qui ont utilisé Quarkus depuis 4-6 mois, les non noob questions Quarkus est un framework Java moderne optimisé pour le cloud qui propose des temps de démarrage ultra-rapides et une empreinte mémoire réduite Pourquoi Quarkus démarre si vite ? Le framework effectue le travail lourd au moment du build (scanning, indexation, génération de bytecode) plutôt qu'au runtime Quand utiliser le mode réactif plutôt qu'impératif ? Le réactif est pertinent pour les workloads avec haute concurrence et dominance I/O, l'impératif reste plus simple dans les autres cas Quelle est la différence entre Dev Services et Testcontainers ? Dev Services utilise Testcontainers en gérant automatiquement le cycle de vie, les ports et la configuration sans cérémonie Comment la DI de Quarkus diffère de Spring ? CDI est un standard basé sur la sécurité des types et la découverte au build-time, différent de l'approche framework de Spring Comment gérer la configuration entre environnements ? Quarkus permet de scaler depuis le développement local jusqu'à Kubernetes avec des profils, fichiers multiples et configuration externe Comment tester correctement les applications Quarkus ? @QuarkusTest démarre l'application une fois pour toute la suite de tests, changeant le modèle mental par rapport à Spring Boot Que fait vraiment Panache en coulisses ? Panache est du JPA avec des opinions fortes et des défauts propres, enveloppant Hibernate avec un style Active Record Doit-on utiliser les images natives et quand ? Les images natives brillent pour le serverless et l'edge grâce au démarrage rapide et la faible empreinte mémoire, mais tous les apps n'en bénéficient pas Comment Quarkus s'intègre avec Kubernetes ? Le framework génère automatiquement les ressources Kubernetes, gère les health checks et métriques comme s'il était nativement conçu pour cet écosystème Comment intégrer l'IA dans une application Quarkus ? LangChain4j permet d'ajouter embeddings, retrieval, guardrails et observabilité directement en Java sans passer par Python Infrastructure Les alternatives à MinIO https://rmoff.net/2026/01/14/alternatives-to-minio-for-single-node-local-s3/ MinIO a abandonné le support single-node fin 2025 pour des raisons commerciales, cassant de nombreuses démos et pipelines CI/CD qui l'utilisaient pour émuler S3 localement L'auteur cherche un remplacement simple avec image Docker, compatibilité S3, licence open source, déploiement mono-nœud facile et communauté active S3Proxy est très léger et facile à configurer, semble être l'option la plus simple mais repose sur un seul contributeur RustFS est facile à utiliser et inclut une GUI, mais c'est un projet très récent en version alpha avec une faille de sécurité majeure récente SeaweedFS existe depuis 2012 avec support S3 depuis 2018, relativement facile à configurer et dispose d'une interface web basique Zenko CloudServer remplace facilement MinIO mais la documentation et le branding (cloudserver/zenko/scality) peuvent prêter à confusion Garage nécessite une configuration complexe avec fichier TOML et conteneur d'initialisation séparé, pas un simple remplacement drop-in Apache Ozone requiert au minimum quatre nœuds pour fonctionner, beaucoup trop lourd pour un usage local simple L'auteur recommande SeaweedFS et S3Proxy comme remplaçants viables, RustFS en maybe, et élimine Garage et Ozone pour leur complexité Garage a une histoire tres associative, il vient du collectif https://deuxfleurs.fr/ qui offre un cloud distribué sans datacenter C'est certainement pas une bonne idée, les datacenters dans l'espace https://taranis.ie/datacenters-in-space-are-a-terrible-horrible-no-good-idea/ Avis d'expert (ex-NASA/Google, Dr en électronique spatiale) : Centres de données spatiaux, une "terrible" idée. Incompatibilité fondamentale : L'électronique (surtout IA/GPU) est inadaptée à l'environnement spatial. Énergie : Accès limité. Le solaire (type ISS) est insuffisant pour l'échelle de l'IA. Le nucléaire (RTG) est trop faible. Refroidissement : L'espace n'est pas "froid" ; absence de convection. Nécessite des radiateurs gigantesques (ex: 531m² pour 200kW). Radiations : Provoque erreurs (SEU, SEL) et dommages. Les GPU sont très vulnérables. Blindage lourd et inefficace. Les puces "durcies" sont très lentes. Communications : Bande passante très limitée (1Gbps radio vs 100Gbps terrestre). Le laser est tributaire des conditions atmosphériques. Conclusion : Projet extrêmement difficile, coûteux et aux performances médiocres. Data et Intelligence Artificielle Guillaume a développé un serveur MCP pour arXiv (le site de publication de papiers de recherche) en Java avec le framework Quarkus https://glaforge.dev/posts/2026/01/18/implementing-an-arxiv-mcp-server-with-quarkus-in-java/ Implémentation d'un serveur MCP (Model Context Protocol) arXiv en Java avec Quarkus. Objectif : Accéder aux publications arXiv et illustrer les fonctionnalités moins connues du protocole MCP. Mise en œuvre : Utilisation du framework Quarkus (Java) et son support MCP étendu. Assistance par Antigravity (IDE agentique) pour le développement et l'intégration de l'API arXiv. Interaction avec l'API arXiv : requêtes HTTP, format XML Atom pour les résultats, parser XML Jackson. Fonctionnalités MCP exposées : Outils (@Tool) : Recherche de publications (search_papers). Ressources (@Resource, @ResourceTemplate) : Taxonomie des catégories arXiv, métadonnées des articles (via un template d'URI). Prompts (@Prompt) : Exemples pour résumer des articles ou construire des requêtes de recherche. Configuration : Le serveur peut fonctionner en STDIO (local) ou via HTTP Streamable (local ou distant), avec une configuration simple dans des clients comme Gemini CLI. Conclusion : Quarkus simplifie la création de serveurs MCP riches en fonctionnalités, rendant les données et services "prêts pour l'IA" avec l'aide d'outils d'IA comme Antigravity. Anthropic ne mettra pas de pub dans Claude https://www.anthropic.com/news/claude-is-a-space-to-think c'est en reaction au plan non public d'OpenAi de mettre de la pub pour pousser les gens au mode payant OpenAI a besoin de cash et est probablement le plus utilisé pour gratuit au monde Anthropic annonce que Claude restera sans publicité pour préserver son rôle d'assistant conversationnel dédié au travail et à la réflexion approfondie. Les conversations avec Claude sont souvent sensibles, personnelles ou impliquent des tâches complexes d'ingénierie logicielle où les publicités seraient inappropriées. L'analyse des conversations montre qu'une part significative aborde des sujets délicats similaires à ceux évoqués avec un conseiller de confiance. Un modèle publicitaire créerait des incitations contradictoires avec le principe fondamental d'être "genuinely helpful" inscrit dans la Constitution de Claude. Les publicités introduiraient un conflit d'intérêt potentiel où les recommandations pourraient être influencées par des motivations commerciales plutôt que par l'intérêt de l'utilisateur. Le modèle économique d'Anthropic repose sur les contrats entreprise et les abonnements payants, permettant de réinvestir dans l'amélioration de Claude. Anthropic maintient l'accès gratuit avec des modèles de pointe et propose des tarifs réduits pour les ONG et l'éducation dans plus de 60 pays. Le commerce "agentique" sera supporté mais uniquement à l'initiative de l'utilisateur, jamais des annonceurs, pour préserver la confiance. Les intégrations tierces comme Figma, Asana ou Canva continueront d'être développées en gardant l'utilisateur aux commandes. Anthropic compare Claude à un cahier ou un tableau blanc : des espaces de pensée purs, sans publicité. Infinispan 16.1 est sorti https://infinispan.org/blog/2026/02/04/infinispan-16-1 déjà le nom de la release mérite une mention Le memory bounded par cache et par ensemble de cache s est pas facile à faire en Java Une nouvelle api OpenAPI AOT caché dans les images container Un serveur MCP local juste avec un fichier Java ? C'est possible avec LangChain4j et JBang https://glaforge.dev/posts/2026/02/11/zero-boilerplate-java-stdio-mcp-servers-with-langchain4j-and-jbang/ Création rapide de serveurs MCP Java sans boilerplate. MCP (Model Context Protocol): standard pour connecter les LLM à des outils et données. Le tutoriel répond au manque d'options simples pour les développeurs Java, face à une prédominance de Python/TypeScript dans l'écosystème MCP. La solution utilise: LangChain4j: qui intègre un nouveau module serveur MCP pour le protocole STDIO. JBang: permet d'exécuter des fichiers Java comme des scripts, éliminant les fichiers de build (pom.xml, Gradle). Implémentation: se fait via un seul fichier .java. JBang gère automatiquement les dépendances (//DEPS). L'annotation @Tool de LangChain4j expose les méthodes Java aux LLM. StdioMcpServerTransport gère la communication JSON-RPC via l'entrée/sortie standard (STDIO). Point crucial: Les logs doivent impérativement être redirigés vers System.err pour éviter de corrompre System.out, qui est réservé à la communication MCP (messages JSON-RPC). Facilite l'intégration locale avec des outils comme Gemini CLI, Claude Code, etc. Reciprocal Rank Fusion : un algorithme utile et souvent utilisé pour faire de la recherche hybride, pour mélanger du RAG et des recherches par mots-clé https://glaforge.dev/posts/2026/02/10/advanced-rag-understanding-reciprocal-rank-fusion-in-hybrid-search/ RAG : Qualité LLM dépend de la récupération. Recherche Hybride : Combiner vectoriel et mots-clés (BM25) est optimal. Défi : Fusionner des scores d'échelles différentes. Solution : Reciprocal Rank Fusion (RRF). RRF : Algorithme robuste qui fusionne des listes de résultats en se basant uniquement sur le rang des documents, ignorant les scores. Avantages RRF : Pas de normalisation de scores, scalable, excellente première étape de réorganisation. Architecture RAG fréquente : RRF (large sélection) + Cross-Encoder / modèle de reranking (précision fine). RAG-Fusion : Utilise un LLM pour générer plusieurs variantes de requête, puis RRF agrège tous les résultats pour renforcer le consensus et réduire les hallucinations. Implémentation : LangChain4j utilise RRF par défaut pour agréger les résultats de plusieurs retrievers. Les dernières fonctionnalités de Gemini et Nano Banana supportées dans LangChain4j https://glaforge.dev/posts/2026/02/06/latest-gemini-and-nano-banana-enhancements-in-langchain4j/ Nouveaux modèles d'images Nano Banana (Gemini 2.5/3.0) pour génération et édition (jusqu'à 4K). "Grounding" via Google Search (pour images et texte) et Google Maps (localisation, Gemini 2.5). Outil de contexte URL (Gemini 3.0) pour lecture directe de pages web. Agents multimodaux (AiServices) capables de générer des images. Configuration de la réflexion (profondeur Chain-of-Thought) pour Gemini 3.0. Métadonnées enrichies : usage des tokens et détails des sources de "grounding". Comment configurer Gemini CLI comment agent de code dans IntelliJ grâce au protocole ACP https://glaforge.dev/posts/2026/02/01/how-to-integrate-gemini-cli-with-intellij-idea-using-acp/ But : Intégrer Gemini CLI à IntelliJ IDEA via l'Agent Client Protocol (ACP). Prérequis : IntelliJ IDEA 2025.3+, Node.js (v20+), Gemini CLI. Étapes : Installer Gemini CLI (npm install -g @google/gemini-cli). Localiser l'exécutable gemini. Configurer ~/.jetbrains/acp.json (chemin exécutable, --experimental-acp, use_idea_mcp: true). Redémarrer IDEA, sélectionner "Gemini CLI" dans l'Assistant IA. Usage : Gemini interagit avec le code et exécute des commandes (contexte projet). Important : S'assurer du flag --experimental-acp dans la configuration. Outillage PipeNet, une alternative (open source aussi) à LocalTunnel, mais un plus évoluée https://pipenet.dev/ pipenet: Alternative open-source et moderne à localtunnel (client + serveur). Usages: Développement local (partage, webhooks), intégration SDK, auto-hébergement sécurisé. Fonctionnalités: Client (expose ports locaux, sous-domaines), Serveur (déploiement, domaines personnalisés, optimisé cloud mono-port). Avantages vs localtunnel: Déploiement cloud sur un seul port, support multi-domaines, TypeScript/ESM, maintenance active. Protocoles: HTTP/S, WebSocket, SSE, HTTP Streaming. Intégration: CLI ou SDK JavaScript. JSON-IO — une librairie comme Jackson ou GSON, supportant JSON5, TOON, et qui pourrait être utile pour l'utilisation du "structured output" des LLMs quand ils ne produisent pas du JSON parfait https://github.com/jdereg/json-io json-io : Librairie Java pour la sérialisation et désérialisation JSON/TOON. Gère les graphes d'objets complexes, les références cycliques et les types polymorphes. Support complet JSON5 (lecture et écriture), y compris des fonctionnalités non prises en charge par Jackson/Gson. Format TOON : Notation orientée token, optimisée pour les LLM, réduisant l'utilisation de tokens de 40 à 50% par rapport au JSON. Légère : Aucune dépendance externe (sauf java-util), taille de JAR réduite (~330K). Compatible JDK 1.8 à 24, ainsi qu'avec les environnements JPMS et OSGi. Deux modes de conversion : vers des objets Java typés (toJava()) ou vers des Map (toMaps()). Options de configuration étendues via ReadOptionsBuilder et WriteOptionsBuilder. Optimisée pour les déploiements cloud natifs et les architectures de microservices. Utiliser mailpit et testcontainer pour tester vos envois d'emails https://foojay.io/today/testing-emails-with-testcontainers-and-mailpit/ l'article montre via SpringBoot et sans. Et voici l'extension Quarkus https://quarkus.io/extensions/io.quarkiverse.mailpit/quarkus-mailpit/?tab=docs Tester l'envoi d'emails en développement est complexe car on ne peut pas utiliser de vrais serveurs SMTP Mailpit est un serveur SMTP de test qui capture les emails et propose une interface web pour les consulter Testcontainers permet de démarrer Mailpit dans un conteneur Docker pour les tests d'intégration L'article montre comment configurer une application SpringBoot pour envoyer des emails via JavaMail Un module Testcontainers dédié à Mailpit facilite son intégration dans les tests Le conteneur Mailpit expose un port SMTP (1025) et une API HTTP (8025) pour vérifier les emails reçus Les tests peuvent interroger l'API HTTP de Mailpit pour valider le contenu des emails envoyés Cette approche évite d'utiliser des mocks et teste réellement l'envoi d'emails Mailpit peut aussi servir en développement local pour visualiser les emails sans les envoyer réellement La solution fonctionne avec n'importe quel framework Java supportant JavaMail Architecture Comment scaler un système de 0 à 10 millions d'utilisateurs https://blog.algomaster.io/p/scaling-a-system-from-0-to-10-million-users Philosophie : Scalabilité incrémentale, résoudre les goulots d'étranglement sans sur-ingénierie. 0-100 utilisateurs : Serveur unique (app, DB, jobs). 100-1K : Séparer app et DB (services gérés, pooling). 1K-10K : Équilibreur de charge, multi-serveurs d'app (stateless via sessions partagées). 10K-100K : Caching, réplicas de lecture DB, CDN (réduire charge DB). 100K-500K : Auto-scaling, applications stateless (authentification JWT). 500K-10M : Sharding DB, microservices, files de messages (traitement asynchrone). 10M+ : Déploiement multi-régions, CQRS, persistance polyglotte, infra personnalisée. Principes clés : Simplicité, mesure, stateless essentiel, cache/asynchrone, sharding prudent, compromis (CAP), coût de la complexité. Patterns d'Architecture 2026 - Du Hype à la Réalité du Terrain (Part 1/2) - https://blog.ippon.fr/2026/01/30/patterns-darchitecture-2026-part-1/ L'article présente quatre patterns d'architecture logicielle pour répondre aux enjeux de scalabilité, résilience et agilité business dans les systèmes modernes Il présentent leurs raisons et leurs pièges Un bon rappel L'Event-Driven Architecture permet une communication asynchrone entre systèmes via des événements publiés et consommés, évitant le couplage direct Les bénéfices de l'EDA incluent la scalabilité indépendante des composants, la résilience face aux pannes et l'ajout facile de nouveaux cas d'usage Le pattern API-First associé à un API Gateway centralise la sécurité, le routage et l'observabilité des APIs avec un catalogue unifié Le Backend for Frontend crée des APIs spécifiques par canal (mobile, web, partenaires) pour optimiser l'expérience utilisateur CQRS sépare les modèles de lecture et d'écriture avec des bases optimisées distinctes, tandis que l'Event Sourcing stocke tous les événements plutôt que l'état actuel Le Saga Pattern gère les transactions distribuées via orchestration centralisée ou chorégraphie événementielle pour coordonner plusieurs microservices Les pièges courants incluent l'explosion d'événements granulaires, la complexité du debugging distribué, et la mauvaise gestion de la cohérence finale Les technologies phares sont Kafka pour l'event streaming, Kong pour l'API Gateway, EventStoreDB pour l'Event Sourcing et Temporal pour les Sagas Ces patterns nécessitent une maturité technique et ne sont pas adaptés aux applications CRUD simples ou aux équipes junior Patterns d'architecture 2026 : du hype à la réalité terrain part. 2 - https://blog.ippon.fr/2026/02/04/patterns-darchitecture-2026-part-2/ Deuxième partie d'un guide pratique sur les patterns d'architecture logicielle et système éprouvés pour moderniser et structurer les applications en 2026 Strangler Fig permet de migrer progressivement un système legacy en l'enveloppant petit à petit plutôt que de tout réécrire d'un coup (70% d'échec pour les big bang) Anti-Corruption Layer protège votre nouveau domaine métier des modèles externes et legacy en créant une couche de traduction entre les systèmes Service Mesh gère automatiquement la communication inter-services dans les architectures microservices (sécurité mTLS, observabilité, résilience) Architecture Hexagonale sépare le coeur métier des détails techniques via des ports et adaptateurs pour améliorer la testabilité et l'évolutivité Chaque pattern est illustré par un cas client concret avec résultats mesurables et liste des pièges à éviter lors de l'implémentation Les technologies 2026 mentionnées incluent Istio, Linkerd pour service mesh, LaunchDarkly pour feature flags, NGINX et Kong pour API gateway Tableau comparatif final aide à choisir le bon pattern selon la complexité, le scope et le use case spécifique du projet L'article insiste sur une approche pragmatique : ne pas utiliser un pattern juste parce qu'il est moderne mais parce qu'il résout un problème réel Pour les systèmes simples type CRUD ou avec peu de services, ces patterns peuvent introduire une complexité inutile qu'il faut savoir éviter Méthodologies Le rêve récurrent de remplacer voire supprimer les développeurs https://www.caimito.net/en/blog/2025/12/07/the-recurring-dream-of-replacing-developers.html Depuis 1969, chaque décennie voit une tentative de réduire le besoin de développeurs (de COBOL, UML, visual builders… à IA). Motivation : frustration des dirigeants face aux délais et coûts de développement. La complexité logicielle est intrinsèque et intellectuelle, non pas une question d'outils. Chaque vague technologique apporte de la valeur mais ne supprime pas l'expertise humaine. L'IA assiste les développeurs, améliore l'efficacité, mais ne remplace ni le jugement ni la gestion de la complexité. La demande de logiciels excède l'offre car la contrainte majeure est la réflexion nécessaire pour gérer cette complexité. Pour les dirigeants : les outils rendent-ils nos développeurs plus efficaces sur les problèmes complexes et réduisent-ils les tâches répétitives ? Le "rêve" de remplacer les développeurs, irréalisable, est un moteur d'innovation créant des outils précieux. Comment creuser des sujets à l'ère de l'IA générative. Quid du partage et la curation de ces recherches ? https://glaforge.dev/posts/2026/02/04/researching-topics-in-the-age-of-ai-rock-solid-webhooks-case-study/ Recherche initiale de l'auteur sur les webhooks en 2019, processus long et manuel. L'IA (Deep Research, Gemini, NotebookLM) facilite désormais la recherche approfondie, l'exploration de sujets et le partage des résultats. L'IA a identifié et validé des pratiques clés pour des déploiements de webhooks résilients, en grande partie les mêmes que celles trouvées précédemment par l'auteur. Génération d'artefacts par l'IA : rapport détaillé, résumé concis, illustration sketchnote, et même une présentation (slide deck). Guillaume s'interroge sur le partage public de ces rapports de recherche générés par l'IA, tout en souhaitant éviter le "AI Slop". Loi, société et organisation Le logiciel menacé par le vibe coding https://www.techbuzz.ai/articles/we-built-a-monday-com-clone-in-under-an-hour-with-ai Deux journalistes de CNBC sans expérience de code ont créé un clone fonctionnel de Monday.com en moins de 60 minutes pour 5 à 15 dollars. L'expérience valide les craintes des investisseurs qui ont provoqué une baisse de 30% des actions des entreprises SaaS. L'IA a non seulement reproduit les fonctionnalités de base mais a aussi recherché Monday.com de manière autonome pour identifier et recréer ses fonctionnalités clés. Cette technique appelée "vibe-coding" permet aux non-développeurs de construire des applications via des instructions en anglais courant. Les entreprises les plus vulnérables sont celles offrant des outils "qui se posent sur le travail" comme Atlassian, Adobe, HubSpot, Zendesk et Smartsheet. Les entreprises de cybersécurité comme CrowdStrike et Palo Alto sont considérées plus protégées grâce aux effets de réseau et aux barrières réglementaires. Les systèmes d'enregistrement comme Salesforce restent plus difficiles à répliquer en raison de leur profondeur d'intégration et de données d'entreprise. Le coût de 5 à 15 dollars par construction permet aux entreprises de prototyper plusieurs solutions personnalisées pour moins cher qu'une seule licence Monday.com. L'expérience soulève des questions sur la pérennité du marché de 5 milliards de dollars des outils de gestion de projet face à l'IA générative. Conférences En complément de l'agenda des conférences de Aurélie Vache, il y a également le site https://javaconferences.org/ (fait par Brian Vermeer) avec toutes les conférences Java à venir ! La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-13 février 2026 : Touraine Tech #26 - Tours (France) 12-13 février 2026 : World Artificial Intelligence Cannes Festival - Cannes (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 6 mars 2026 : WordCamp Nice 2026 - Nice (France) 18 mars 2026 : Jupyter Workshops: AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing - Saint-Maur-des-Fossés (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 20 mars 2026 : Atlantique Day 2026 - Nantes (France) 26 mars 2026 : Data Days Lille - Lille (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 26-27 mars 2026 : REACT PARIS - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 31 mars 2026-1 avril 2026 : FlowCon France 2026 - Paris (France) 1 avril 2026 : AWS Summit Paris - Paris (France) 2 avril 2026 : Pragma Cannes 2026 - Cannes (France) 2-3 avril 2026 : Xen Spring Meetup 2026 - Grenoble (France) 7 avril 2026 : PyTorch Conference Europe - Paris (France) 9-10 avril 2026 : Android Makers by droidcon 2026 - Paris (France) 9-11 avril 2026 : Drupalcamp Grenoble 2026 - Grenoble (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 17-18 avril 2026 : Faiseuses du Web 5 - Dinan (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 12 mai 2026 : Lead Innovation Day - Leadership Edition - Paris (France) 19 mai 2026 : La Product Conf Paris 2026 - Paris (France) 21-22 mai 2026 : Flupa UX Days 2026 - Paris (France) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 28 mai 2026 : DevCon 27 : I.A. & Vibe Coding - Paris (France) 28 mai 2026 : Cloud Toulouse 2026 - Toulouse (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 29 mai 2026 : Agile Tour Strasbourg 2026 - Strasbourg (France) 2-3 juin 2026 : Agile Tour Rennes 2026 - Rennes (France) 2-3 juin 2026 : OW2Con - Paris-Châtillon (France) 3 juin 2026 : IA–NA - La Rochelle (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 9 juin 2026 : JFTL - Montrouge (France) 9 juin 2026 : C: - Caen (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 20-22 août 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 24 septembre 2026 : PlatformCon Live Day Paris 2026 - Paris (France) 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) 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/

When a claim fails because of a missing field or outdated insurance detail, it is easy to blame the billing process, but it is incomplete or inconsistent information captured at registration that is often the root cause. This seemingly innocuous oversight may be the reason why AI adoption in revenue cycle management (RCM) has been slow. In this conversation, Clarissa Riggins, Chief Product Officer at Experian Health, and Amy Trogdon, Vice President of Patient Access at Integris Health, break down why AI adoption in RCM depends on accurate front-end data and workflow fit. They share what they learned rolling out Experian's Patient Access Curator inside Epic and how real-time coverage validation is reshaping staff trust and efficiency. You will hear candid insights about workforce strain, error-prone processes, and why many AI projects stall before they start.

MeetupsHello Stuttgart, 19 FebGo 1.26 is out!Go 1.26 release party with Anton ZhiyanovGo 1.26.0-1 available from MicrosoftLighting RoundBlog: Stepping out of Front-End with Go by ElGophertransition ppc64/linux (big-endian) from ELFv1 to ELFv2 in Go 1.27Discussion: Should Go accept CLs generated by AI? ★ Support this podcast on Patreon ★

Hoje o papo é sobre acessibilidade! Neste episódio, mergulhamos em uma conversa inspiradora sobre o Colibri e o Conversia, duas plataformas que vêm devolvendo a autonomia e até mesmo a voz a pessoas com impedimentos motores e de fala. Vem ver quem participou desse papo! André David, o host que tem um lado que quase não existe Vinny Neves, Líder de Front-End na Alura Adriano Assis, CEO e fundador da Colibri Interfaces Links: Apresentação do Colibri no Shark Tank Brasil Colibrino Face Mesh Projeto Gameface Conversia Garanta até 30% de desconto para estudar por até dois anos na Alura antes do preço subir! TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

What if the best product decision is saying “no” to what everyone else is building?In this episode of Supra Insider, Marc Baselga and Ben Erez sit down with Alexander Danilowicz, founder and CEO of Magic Patterns, to unpack why his AI prototyping tool is the only one refusing to add backend features—even when competitors like Lovable, Bolt, and v0 are racing in that direction. Alex explains how focusing exclusively on front-end code leads to higher quality prototyping, why many use cases don't actually need a database, and how product teams at large companies can't risk connecting production data to prototyping tools anyway.They explore what it takes to maintain conviction when investors, customers, and the entire market seem to be moving the opposite way. Alex shares how using your own product daily keeps you honest about what's actually broken, why real user feedback looks different from “fake” feature requests (like “add dark mode”), and how a strong co-founding relationship helps you resist temptation when external pressure mounts.If you're a product leader wrestling with feature requests that don't align with your vision, trying to figure out when to follow the market versus when to trust your gut, or building tools in the AI coding space, this episode is for you.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Emily revisits Kitt, Rose admits she was wrong about Plymouth. Boycott Deans Car Care! For Japanese models: Specialty Auto 503-902-9778, Son Imports 503 236-3515, and Japanese Auto Repair. Classics: Harold's. Ron's Front End and Brakes. Maxim Auto Care 503 484-3448, kind of scruffy but they do good affordable work. Recorded @iapdx Recorded & mixed by Emdognightmare & Queen of the Vans Editor: Emdognightmare Production & research Queen of the Vans & Emdognightmare Find us: Car Krush Stay updated w/ our newsletter Hugs, thank you & high fives to Greg Meleney for the killer tunez!  

It's great to be back behind the mic! In this episode of JavaScript Jabber, I'm joined by Dan Shapir and our guest Jack Harrington from Netlify and TanStack for a wide-ranging, high-energy conversation that covers everything from modern frontend architecture to AI tooling—and a few entertaining detours along the way.We dig into what's new and exciting in the TanStack ecosystem, including TanStack Start and TanStack AI, and explore how these tools rethink the balance between frontend-first development and server-side capabilities. Along the way, we unpack React Server Components, AI SDKs, agentic workflows, and how developers can realistically use AI today without losing their minds—or their context windows.Links & ResourcesTanStack – https://tanstack.comTanStack Start – https://tanstack.com/startTanStack AI – https://tanstack.com/aiNetlify – https://www.netlify.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

Łukasz Stefański, Senior Software Developer przedstawia perspektywę na rok 2026 dla FrontEnd-u. [more] Rozmawiamy m.in. o technologiach, o zagrożeniach i szansach ze strony AI oraz o sposobach na znalezienie pracy. Pełen opis odcinka, polecane materiały i linki oraz transkrypcję znajdziesz na: https://devmentor.pl/?p=16472 || devmentor.pl/rozmowa ⬅ Chcesz przebranżowić się do IT i poznać rozwiązania, które innym pozwoliły skutecznie znaleźć pracę? Jestem doświadczonym developerem oraz mentorem programowania – chętnie odpowiem na Twoje pytania o naukę programowania oraz świat IT. Umów się na bezpłatną, niezobowiązującą rozmowę! ~ Mateusz Bogolubow, twórca podcastu Pierwsze kroki w IT || devmentor.pl/podcast ⬅ Oficjalna strona podcastu

Hello and welcome to Front End Chatter, the podcast home of all things motorcycle-related, albeit tangentially sometimes, which, let's be honest, it's a slow news decade and we have to talk about something so why not just gossip? He's Martin Fitz-Gibbons and he's Simon Hargreaves, a pair of motorcycle content creators. And they're Bennetts, Britain's Best Bike Insurers, to whom we are all indebted, sometimes quite literally. And they're bikesocial.co.uk, where the web meets the world of bikes.  And on the pod this month we natter about – blimey, where do we start?  • Bennetts pull out of BSB sponsorship – the why and the what it means for BSB • The Buccleuch Arms Hotel, famed as the best hotel in Scotland and catering especially for motorcyclists, is up for sale! Details within • Moors The Merrier FEC Tour in 'almost sold out' shock! • 2025 new bike sales nearly 20% down on 2024 • Voge R625 ain't half bad • Kawasaki Z1100 SE is more than half good • revolutionary solid state battery-powered bike with 10min recharge and 300mile plus range, 'Verge'-ing on the ridiculous • 62 historic MotoGP bikes worth zillions seized in Mexican drug bust • what's your top speed, ever, no names officer • which bike is the GOAT of all time?  All this and more! And it's all in one episode!  Send your questions, thoughts, comments, brain farts, top speeds and nominations for Greatest Bike Of All Time to anything@frontendchatter.com And don't forget to book onto the Moors The Merrier Tour with us! It's in July, it'll be sunny, it's a weekend, and the beer is... well, it's not free but you might get a pint out of it!  May your god go with you. 

פרק מספר 510 של רברס עם פלטפורמה, שהוקלט ב-6 בינואר 2026. אורי ורן מקליטים בכרכור ומארחים את טל (מאזין ותיק!) מחברת Rhino Federated Computing לשיחה על עולם של חישוב מבוזר, פרטיות רפואית, הצפנות הומומורפיות ונוסטלגיה ל-SETI@home (ולא AI! טוב, גם…).

פרק מספר 508 של רברס עם פלטפורמה, שהוקלט ב-30 בדצמבר 2025, קצת לפני שנגמרה השנה וקצת אחרי שבאמת התחיל סוג של חורף - אורי ורן לוגמים תה ומארחים את מישה פיינשטיין מחברת Bria AI כדי לדבר על איך עושים תמונות בצורה שבאמת התכוונתם (וגם קצת על חורף).

Hoje o papo é sobre criatividade e tecnologia! Neste episódio, mergulhamos na origem, nos cases, e na ideologia por trás dos projetos da Caramelo Biônico, que une engenharia, tecnologia, criatividade e arte para criar experiências verdadeiramente mágicas. Vem ver quem participou desse papo: André David, o host que sempre reflete Vinny Neves, Líder de Front-End na Alura Roberto “Pena” Spinelli, Fundador e CTO da Caramelo Biônico Vitor Moreira, Fundador e Apresentador da Caramelo Biônico Links: Caramelo Biônico no YouTube Manual do Mundo no YouTube Show de Turing Zoltron do Caramelo Biônico TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Mike Bakon to explore the fascinating intersection of hardware hacking, blockchain technology, and decentralized systems. Their conversation spans from Mike's childhood fascination with taking apart electronics in 1980s Poland to his current work with ESP32 microcontrollers, LoRa mesh networks, and Cardano blockchain development. They discuss the technical differences between UTXO and account-based blockchains, the challenges of true decentralization versus hybrid systems, and how AI tools are changing the development landscape. Mike shares his vision for incentivizing mesh networks through blockchain technology and explains why he believes mass adoption of decentralized systems will come through abstraction rather than technical education. The discussion also touches on the potential for creating new internet infrastructure using ad hoc mesh networks and the importance of maintaining truly decentralized, permissionless systems in an increasingly surveilled world. You can find Mike in Twitter as @anothervariable.Check out this GPT we trained on the conversationTimestamps00:00 Introduction to Hardware and Early Experiences02:59 The Evolution of AI in Hardware Development05:56 Decentralization and Blockchain Technology09:02 Understanding UTXO vs Account-Based Blockchains11:59 Smart Contracts and Their Functionality14:58 The Importance of Decentralization in Blockchain17:59 The Process of Data Verification in Blockchain20:48 The Future of Blockchain and Its Applications34:38 Decentralization and Trustless Systems37:42 Mainstream Adoption of Blockchain39:58 The Role of Currency in Blockchain43:27 Interoperability vs Bridging in Blockchain47:27 Exploring Mesh Networks and LoRa Technology01:00:25 The Future of AI and DecentralizationKey Insights1. Hardware curiosity drives innovation from childhood - Mike's journey into hardware began as a child in 1980s Poland, where he would disassemble toys like battery-powered cars to understand how they worked. This natural curiosity about taking things apart and understanding their inner workings laid the foundation for his later expertise in microcontrollers like the ESP32 and his deep understanding of both hardware and software integration.2. AI as a research companion, not a replacement for coding - Mike uses AI and LLMs primarily as research tools and coding companions rather than letting them write entire applications. He finds them invaluable for getting quick answers to coding problems, analyzing Git repositories, and avoiding the need to search through Stack Overflow, but maintains anxiety when AI writes whole functions, preferring to understand and write his own code.3. Blockchain decentralization requires trustless consensus verification - The fundamental difference between blockchain databases and traditional databases lies in the consensus process that data must go through before being recorded. Unlike centralized systems where one entity controls data validation, blockchains require hundreds of nodes to verify each block through trustless consensus mechanisms, ensuring data integrity without relying on any single authority.4. UTXO vs account-based blockchains have fundamentally different architectures - Cardano uses an extended UTXO model (like Bitcoin but with smart contracts) where transactions consume existing UTXOs and create new ones, keeping the ledger lean. Ethereum uses account-based ledgers that store persistent state, leading to much larger data requirements over time and making it increasingly difficult for individuals to sync and maintain full nodes independently.5. True interoperability differs fundamentally from bridging - Real blockchain interoperability means being able to send assets directly between different blockchains (like sending ADA to a Bitcoin wallet) without intermediaries. This is possible between UTXO-based chains like Cardano and Bitcoin. Bridges, in contrast, require centralized entities to listen for transactions on one chain and trigger corresponding actions on another, introducing centralization risks.6. Mesh networks need economic incentives for sustainable infrastructure - While technologies like LoRa and Meshtastic enable impressive decentralized communication networks, the challenge lies in incentivizing people to maintain the hardware infrastructure. Mike sees potential in combining blockchain-based rewards (like earning ADA for running mesh network nodes) with existing decentralized communication protocols to create self-sustaining networks.7. Mass adoption comes through abstraction, not education - Rather than trying to educate everyone about blockchain technology, mass adoption will happen when developers can build applications on decentralized infrastructure that users interact with seamlessly, without needing to understand the underlying blockchain mechanics. Users should be able to benefit from decentralization through well-designed interfaces that abstract away the complexity of wallets, addresses, and consensus mechanisms.

Hoje o papo é sobre leitura! Neste episódio, mergulhamos naqueles livros que ensinam, que inspiram, e que carregamos todos os dias nas nossas jornadas de dev, de liderança, e além. Vem ver quem participou desse papo: André David, o host que sempre reflete Vinny Neves, Líder de Front-End na Alura Roberta Arcoverde, Software Engineering Manager no Google Simara Conceicao, Senior Software Developer na Thoughtworks Nicolás Morales, IT & Tech Excellence Manager na Ford Links: Grandes livros de Tecnologia – Hipsters #113 Clean Code, por Robert Cecil Martin Algoritmos para viver, de Brian Christian e Tom Griffiths O Programador Pragmático, de Andrew Hunt e David Thomas Trabalho Eficaz com Código Legado, por Michael C. Feathers A Philosophy of Software Design, de John K. Ousterhout O Projeto Phoenix, de Gene Kim, George Spafford e Kevin Behr Nexus, de Yuval Harari AI Snake Oil, de Arvind Narayanan e Sayash Kapoor Building Evolutionary Architectures: Support Constant Change, de Neal Ford, Rebecca Parsons e Patrick Kua Staff Engineer: Leadership beyond the management track, de Will Larson Team Topologies, de Matthew Skelton Organizações Cognitivas, de Kenneth Corrêa Hipsters Network no Instagram TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

Hello and welcome indeed to Front End Chatter, Episode 219, in which Martin and Simon use their vast misunderstanding of motorcycles as a basis for interminable waffling on a podcast. As ever, they are supported in their efforts by Bennetts, Britain's best bike insurers, and bikesocial.co.uk, all your motorcycling info needs on the web.  And on this pod, Simon and Martin natter about:  • the forthcoming FEC Tour 2026 – The Moors The Merrier – on July 17-20th in the N Yorks Moors • smashing phones on bikes • Triumph's Tiger Sport 800 • why bikes aren't as fast as they used to be, and why no-one cares • Honda's CB1000GT • Honda's VR3 • Honda's NW7 • BMW's F450GS • Norton's Atlases • CFMoto's KTM 990 Adventure ...and much much much more. Thank you for listening, please spread the word amongst your peers, and please sign up to the FEC Tour by emailing anything@frontendchatter.com and registering your interest. Onwards!

Hoje o papo é sobre carreira! Neste episódio, mergulhamos nos desafios, nos percalços e, sim, nos prazeres de ser aquela pessoa cujo bom trabalho é inevitavelmente recompensado com ainda mais trabalho. Como é a vida e as responsabilidades da pessoa tech lead? Vem ver quem participou desse papo: André David, o host que fala de tecnologias que estão por todas as partes  Vinny Neves, Líder de Front-End na Alura Vanessa Tonini, Engenheira de Software e Pesquisadora de Micro Frontends Yago Oliveira, Coordenador de Conteúdo Técnico na Alura

Hoje o papo é sobre Node.JS! Neste episódio, mergulhamos em um papo sobre aquele nome que está por trás de algumas das principais ferramentas utilizadas no mercado atualmente, inclusive quando o assunto é IA. Vem ver quem participou desse papo: André David, o host que fala de tecnologias que estão por todas as partes Vinny Neves, Líder de Front-End na Alura Juliana Amoasei, Desenvolvedora JavaScript e Instrutora da Alura Monica Craveiro, Desenvolvedora Back-End

Are you building tech that looks good—or tech that actually solves problems? The front end is more than design — it's business strategy.What if your next innovation didn't cost more… it saved more?In this episode of The Business Ownership Podcast I interviewed Matt Strippelhoff. Matt is a seasoned expert in traditional and interactive media, has significantly shaped Red Hawk's technological landscape. Leading the development of web and mobile applications, e-commerce sites, and interactive marketing programs, he has driven innovative growth, secured multi-year recurring revenue contracts, and achieved over 95% customer retention. From real-life client wins to practical innovation strategies, this episode shows how thoughtful front-end planning leads to business transformation.Check this out!Show Links:Matt Strippelhoff on LinkedIn: https://www.linkedin.com/in/redhawktech/Red Hawk Technologies Website: https://www.redhawk-tech.com/Book a call with Michelle: https://go.appointmentcore.com/book/IcFD4cGJoin our Facebook group for business owners to get help or help other business owners!The Business Ownership Group - Secrets to Scaling: https://www.facebook.com/groups/businessownershipsecretstoscalingLooking to scale your business? Get free gifts here to help you on your way: https://www.awarenessstrategies.com/ 

Hoje o papo é sobre soft skills! Neste episódio, mergulhamos no que, afinal, significam as famosas soft skills. Como desenvolvê-las, como cultivá-las e, principalmente, quais são as principais soft skills que as empresas estão buscando atualmente. Vem ver quem participou desse papo: André David, o host que cresceu ouvindo que a área tech precisava aprender algumas coisinhas Vinny Neves, Líder de Front-End na Alura Carlos Simidu, IT Manager no F1RST Thais Manzano, Tech Recruiter do Grupo Alun

Hello and welcome to Front End Chatter, Britain's Best Biking Podcast presented by 'Fox Mulder' Hargreaves and 'Dana Scully' Fitz-Gibbons – because, spookily, this is FEC Episode 218; exactly the same number of episodes as TV's The X-Files. Except it's not spooky at all because it's not a coincidence. It's inevitable there's a TV show with exactly 218 episodes, and it's the X-Files; if we waited until FEC 219 to make the connection, it would be the same number of episodes as the original ABC run of the American improvisational comedy series Whose Line Is It Anyway? Insert your own joke here.  And thanks as always to our benevolent benefactors Bennetts, Britain's Best Bike insurers, and bikesocial.co.uk, the website/YouTube channel for all your biking needs. And remember to become a BikeSocial Member – it's automatic if you're insured with Bennetts, or it's £60 per year or £6 per month if not. But it means you get access to loads of competitions, offers and money-off deals on a veritable panoply of kit – basically, if you're thinking of buying anything for your bike, check to see if it's on the list; you might be able to save more than the cost of membership. For a list of current offers and discounts, visit rewards.bennetts.co.uk/categories Right, on with the show, and this week Simon and Martin natter about: • Triumph's new Trident 800 • Ducati's new Monster • Kawasaki's new KLE500 • Honda's new CB1000F • Yamaha's new Ténéré 700 World Raid Plus • BMW R1300 GSA v RS v RT, and the merits of riding 600 miles for one photo • Has motorcycling got too easy; if you don't have to earn it, is it worth anything? • What's it like riding Honda's RC213V-S in 2025? • Riding 'signatures' • What's the easiest engine to work on? • And loads of other hot air and nonsense Thanks for listening, please tell your motorcycling pals and spread the FEC message of love, hope, friendship and riding as far and fast as possible at all times... And please continue to grace the inbox and anything@fronteendchatter.com with your thoughts, questions, queries and general bantz. Aye. Carry on.    

Most AI agent frameworks are backend-focused and written in Python, which introduces complexity when building full-stack AI applications with JavaScript or TypeScript frontends. This gap makes it harder for frontend developers to prototype, integrate, and iterate on AI-powered features. Mastra is an open-source TypeScript framework focused on building AI agents and has primitives such as The post Building AI Agents on the Frontend with Sam Bhagwat and Abhi Aiyer appeared first on Software Engineering Daily.

Hoje o papo é sobre arquitetura orientada a eventos. Neste episódio, mergulhamos no que é a arquitetura orientada a eventos, quando ela é necessária, e em quais são os conceitos, as tecnologias e as ferramentas que você precisa saber para dominar o assunto. Vem ver quem participou desse papo: André David, o host que começa contextualizando o papo Vinny Neves, Líder de Front-End na Alura Felipe “Cachoeira” Rodrigues, Senior Staff Software Engineer LuizaLabs Patrícia Silva, Tech Lead Thiago Adriano, Coordenador da Pós-Tech, FIAP

In Episode 324 You Will Discover: The four different overwhelm types How they present First steps to support ourselves from overwhelm to action Work With Me:

Hello everyone and welcome to THE 2025 FECSTIVAL – live from the beautiful Buccleuch Arms Hotel in stunning, sun-drenched (cough, ish, ahem) Moffat, Scotlandshire! After a couple of fantastic (truth), incident-free (truth-ish) and bone-dry (truth-adjacent) days riding through the very best of the Scottish Borders and the Galloway Forest, Front End Chatter – Britain's best biking podcast – has retired to the bar for a small sweet sherry, a roaring radiator, and 43 minutes of inspired, improvised, impromptu biking banter and deep-drivel discussions including: Marc Marquez's ninth (or is it seventh?) world championship, if his comeback really is the greatest return ever witnessed across the near-infinite history of sporting achievement, and whether MotoGP's new owners are trying to control our collective thoughts Witnessing hostility towards Chinese-branded bikes thaw in real time, the reasons we're starting to be interested (b£¥ond the obviou$), and how soon before the first one is part of a FEC tour Nominations for the greatest, must-ride, can't-miss riding roads in all of mainland continental Europe, especially if the definition of ‘mainland continental Europe' now includes the UK and a bit of America… Could electric bikes be the future of trackdays? Simon & Mufga's mixed fortunes with electric bikes on track. And could Front End Chatter's future lie in someone's fuel tank? Radical suggestions for reorganising bike ergonomics and controls, featuring foot clutch, backwards-action left-hand throttle and bum brake The perfect bike for when you're retiring to live in Japan Thank you FECers one and all - and to Paul, Jo and Anthea at MCi Tours - for joining us at the 2025 FECstival, either live and in person or via time-travelling earholes. And, of course, sincerest gratitudes as ever to Bennetts, Britain's best bike insurers, for continuing to enhance, advance and romance Front End Chatter – don't forget to get a quote direct from Bennetts the next time your motorcycle insurance is up for renewal, then be sure to buy your policy direct so you can enjoy more than 100 offers, discounts and exclusive opportunities all thanks to a year's free BikeSocial membership! Ciao for now – and maybe see you at Motorcycle Live in November…