Podcasts about Atlassian

What happens when AI stops helping with work—and starts doing the work itself?This episode connects a set of developments that business leaders should not ignore. From Sequoia's thesis that AI is replacing services, not just software, to Anthropic's findings that AI adoption is still far behind AI capability, the message is clear: the bottleneck is no longer technology. It is implementation.The bigger takeaway is even more important. Google, Microsoft, and Anthropic all released capabilities this week that make autonomous, business-ready AI workflows far more practical than they were even a few months ago. For leaders, that means the window to experiment is still open—but it may not stay open for long.In this session, you'll discover:Why AI is increasingly targeting work itself rather than the software layer around itThe difference between intelligence work and judgment work, and why that matters for business leadersWhat Anthropic's Claude usage data reveals about the gap between AI capability and actual adoptionWhy friction—not technical limitations—is slowing AI transformation inside companiesHow Google's new Workspace CLI expands agent access across Gmail, Drive, Docs, Sheets, and moreWhat Microsoft Copilot Cowork could mean for enterprise automation inside Microsoft 365Why AI review systems will become essential as AI-generated output scales across functionsHow autonomous agent loops could reshape software, marketing, sales, customer service, and product developmentWhat recent layoffs at Meta and Atlassian suggest about the future of knowledge workThe legal battles emerging around AI, from copyright to legal advice to data privacyAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

March 13, 2026: Most companies are cutting headcount to fund AI — but do they actually know what AI costs? When agentic AI runs autonomously overnight, the compute bill can hit $120,000 to $270,000 a year. Add hidden infrastructure costs running 200 to 400 percent above vendor quotes, plus the human oversight that never goes away, and the "AI is cheaper than people" math falls apart fast. Meanwhile Elon Musk is going the other direction — Tesla is increasing headcount while Atlassian and Block are cutting thousands, betting that output per human will get "nutty high." And an AI agent autonomously applied for 278 jobs this week, nearly got hired, and is still running. HR has no governance framework for any of this. Today's episode is about the gap between what organizations think AI costs, what it actually costs, and who's responsible for closing that gap.

Alex Coonce (Chief People Officer) and Patrick Quigley (CEO) from Sidecar Health joined us on The Modern People Leader. We talked about building a strong CEO–CPO partnership, why culture must scale before headcount does, and how companies can become AI-native while staying transparent with employees.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode287Sponsor Links:

– Oil and volatility. Shortages and stockpiles – Atlassian cuts 1600 jobs – Allegra Spender’s great contribution on tax – How can a fertiliser plant be sold for $1?See omnystudio.com/listener for privacy information.

This week I discuss the AI, HR Tech, and consumer AI market in front of announcements next week at the Unleash Conference in Vegas. I discuss how HR Tech is now becoming “Life Tech” (not just Work Tech) and the dynamics of big players like Microsoft, Oracle, Workday, SAP, ServiceNow, Anthropic, OpenAI, Google, and smaller vendors like Cornerstone, Findem, Lightcast, Maki People, Eightfold, WorkHuman and others who are vying for attention with their AI offerings. Next week I'll detail many of these announcements in my keynote and I hope to see many of you in Vegas at Unleash and the following week at Transform. So much to absorb and understand: we are here to help you sort it all out. Additional Information Layoffs at Atlassian, Block, Amazon are Misleading. AI Alone Is Not The Story. The World of Corporate Training Lurches Toward Enablement Oracle's Earnings Prove That AI Infrastructure Is Eating Enterprise Software Enterprise AI Architecture: Imperatives for 2026 Webinar: Watch a replay of Josh's walkthrough of the 11 essential imperatives HR & business leaders need to know for success and progress in 2026. Galileo Learn: Complete The Superworker Organization: AI Goes Enterprise learning program, and discover the hands-on skills required to navigate the redefinition of work, HR teams, and organizations in the era of superworkers and superagents. Get Galileo: The Enterprise AI Agent for HR  Chapters (00:00:00) - All the HR Technology Announcements(00:07:29) - Oracle's strategy for growth(00:10:37) - Microsoft's Copilot, and More

En este episodio de El Brieff, analizamos la capacidad de respuesta de Claudia Sheinbaum ante su primer revés legislativo y la ingeniería detrás de su nuevo "Plan B" electoral. Desmenuzamos el impacto geopolítico del cierre del Estrecho de Hormuz por parte de Irán y cómo el alza en el diésel amenaza con descarrilar la meta de inflación de Banxico. Además, exploramos el movimiento estratégico de TV Azteca hacia el concurso mercantil y los despidos en Atlassian que confirman una verdad incómoda: la IA ya no solo ayuda a programar, está reemplazando programadores.Este episodio es traído a ti por STRTGY, la plataforma líder en inteligencia de expansión y ejecución estratégica. En un mundo donde la geopolítica cambia cada minuto, necesitas datos, no opiniones. Optimiza tu toma de decisiones hoy mismo. Visita strtgy.ai y domina tu mercado.Recibe gratis nuestro newsletter con las noticias más importantes del día.Si te interesa una mención en El Brieff, escríbenos a arturo@strtgy.ai Hosted on Acast. See acast.com/privacy for more information.

Atlassian announced that it is letting about 10% of its workforce go today. Management said it was because AI is making the company more efficient, but we're wondering if there is more to it than that. Plus, some napkin math on the Strategic Petroleum Reserve release and Dollar General's most recent earnings Tyler Crowe, Matt Frankel, and Jon Quast discuss: - Altassian's Layoffs - The challenges facing SaaS companies in an age of efficiency - Assessing the impact of the SPR release and how it changes our investing approach - Dollar General's earnings and its ongoing turnaround project Companies discussed: TEAM, XYZ, DG, FIVE, WMT, TGT Host: Tyler Crowe Guests: Matt Frankel, Jon Quast Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

More AI inspired job cuts. I gotta say, adding AI to Google Maps makes it sound like it might work much, much better. A new entrant into the AI health space. An Iran-war-related hacking takes down a company. And Mark Gurman tells us what to expect from a foldable iPhone. Atlassian slashes 10% of workforce to ‘self-fund' investments in AI and enterprise sales (CNBC) You can now ask Google Maps ‘complex, real-world questions' — and Gemini will answer (The Verge) Anthropic's Claude AI can respond with charts, diagrams, and other visuals now (The Verge) Microsoft's New AI Health Tool Can Read Your Medical Records and Give Advice (WSJ) Iran Expands War With Major Cyberattack Against U.S. Company (WSJ) Apple's Foldable iPhone to Feature iPad-Like Interface When Opened (Bloomberg) Learn more about your ad choices. Visit megaphone.fm/adchoices

The Iran war/Mideast tensions effect: Carl Quintanilla and Jim Cramer discussed stocks down sharply and oil prices spiking on a day which saw Brent crude briefly top $100/barrel — the International Energy Agency said the world is facing the “largest supply disruption in the history of the global oil market.” In a CNBC Exclusive, Seema Mody and the anchors interviewed Palantir CEO Alex Karp about the Iran war, defense technology and the company's AI strategy.  Also in focus: Cramer's message on private credit and beaten-down shares of alternative asset managers, Oracle and Atlassian job cuts, Dollar General under pressure, reaction to Dick's Sporting Goods' earnings and guidance, Petco soars.   Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The Iran war/Mideast tensions effect: Carl Quintanilla and Jim Cramer discussed stocks down sharply and oil prices spiking on a day which saw Brent crude briefly top $100/barrel — the International Energy Agency said the world is facing the “largest supply disruption in the history of the global oil market.” In a CNBC Exclusive, Seema Mody and the anchors interviewed Palantir CEO Alex Karp about the Iran war, defense technology and the company's AI strategy.  Also in focus: Cramer's message on private credit and beaten-down shares of alternative asset managers, Oracle and Atlassian job cuts, Dollar General under pressure, reaction to Dick's Sporting Goods' earnings and guidance, Petco soars.   Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI deployment is compressing margins and altering the economic structure of the IT services market, with digital platforms and private equity–backed consulting now determining who controls distribution, interfaces, and downstream value capture. As referenced by Dave Sobel, developments such as large language models reshaping search, IT distributors repositioning as digital marketplaces, and private equity standardizing AI consulting are reducing the role of traditional MSPs to commoditized implementation labor. Concrete market evidence includes the Global Technology Distribution Council's report citing that 80% of vendors see partner ecosystem growth as key, while 86% are using or testing digital platforms to drive cloud and AI services. Examples such as Anthropic's discussions to create AI consulting joint ventures with Blackstone and Hellman Friedman, as well as OpenAI's partnerships with Thrive Holdings and Shield Technology Partners, show that operational models are being standardized and consolidated. Meanwhile, AI-powered search is reducing clicks to original content by up to 89%, transferring value to whoever controls the user interface. Supporting data from surveys conducted by the SMB Group, Pega Systems, and Atlassian highlight that 53% of SMBs are using AI, but only 3% of organizations report measurable business transformation despite a 33% productivity boost. Consumers show distrust in AI-driven customer service, and employee burnout and reduced confidence indicate that MSPs are absorbing increased operational complexity and support burdens even as margins compress. These developments reinforce the channel consolidation and margin repricing mechanisms described above. For MSPs and IT leaders, the practical risks include growing dependency on distributor and vendor digital marketplaces, narrowing ability to influence platform economics, and the transfer of governance obligations without matching margin. Priority areas are building defensible, repeatable governance frameworks around AI, owning escalation and validation paths, and repositioning services toward process redesign engagements—not commoditized tool deployment. Failing to establish an IP or governance wedge may result in MSPs being locked into subcontractor roles with little leverage over pricing or client outcomes. Three things to know today: 00:00 Channel Bypassed 02:26 Delivery Commoditized 04:15 MSPs Left Holding 07:12 Why Do We Care?  Supported by:  ScalePadSmall biz Thought Community    

Atlassian is cutting 10% of its workforce as AI reshapes its business… and it tries to fight back against its plummeting share price. Australia’s biggest super fund wants to borrow billions… which could be the biggest shake up in the super industry in over 30 years. Better Beer, the low-carb brewer backed by The Inspired Unemployed, is raising up to $15 million to double down on the boom in low-strength beer. _ Download the free app (App Store): http://bit.ly/FluxAppStore Download the free app (Google Play): http://bit.ly/FluxappGooglePlay Daily newsletter: https://bit.ly/fluxnewsletter Flux on Instagram: http://bit.ly/fluxinsta Flux on TikTok: https://www.tiktok.com/@flux.finance —- The content in this podcast reflects the views and opinions of the hosts, and is intended for personal and not commercial use. We do not represent or endorse the accuracy or reliability of any opinion, statement or other information provided or distributed in these episodes.__See omnystudio.com/listener for privacy information.

Josh Wolfe, Co-founder of Lux Capital, talks with TITV Host Akash Pasricha about the mounting macro risks for startups and why he believes the massive CapEx spend on data centers is fundamentally irrational. We also talk with Jason Celino from KeyBanc about Atlassian's 10% staff reduction and its pivot toward AI agents, and we get into the details of Microsoft's new Texas data center deal with our reporter Anissa Gardizy. Finally, we look at Gemini & the Winklevosses' attempt at a turnaround in the prediction market with reporter Yueqi Yang.Articles discussed on this episode: https://www.theinformation.com/articles/microsoft-talks-lease-large-texas-data-center-site-oracle-walked-awayhttps://www.theinformation.com/briefings/atlassian-lays-10-staff-ceo-plans-investment-aihttps://www.theinformation.com/articles/winklevosses-bet-big-crypto-bull-market-bet-wrongSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

An initial military investigation says the United States accidentally hit a girls’ school in Minab, Iran, with a missile. Meanwhile, President Donald Trump says the U.S. has basically already won its conflict with Iran; Atlassian co-founder Mike Cannon-Brookes has apologised after cutting 10% of the company’s global workforce; Billie Eilish is making her acting debut, playing Esther Greenwood in a new film adaptation of Sylvia Plath’s classic novel The Bell Jar. THE END BITS Support independent women's media Check out The Quicky Instagram here GET IN TOUCHShare your story, feedback, or dilemma! Send us a voice note or email us at thequicky@mamamia.com.au CREDITS Host: Tahli Blackman Audio Producer: Lu HillBecome a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

SBS Finance Editor Ricardo Gonçalves speaks with Tom Gilbertson from Loftus Peak about the future of AI and the workforce and what it means for investors as Atlassian becomes the first major Software as a Service to slash jobs; Trent Sauders from CBA details why the bank is now predicting the RBA will lift interest rates two more times this cycle; and Angus Geddes from Fat Prophets shares his thoughts on the investment environment as the war in the Middle-East continues.

In der heutigen Folge sprechen die Finanzjournalisten Anja Ettel und Holger Zschäpitz über Amazon, Disney, Rheinmetall, Wacker Chemie, Atlassian, Bumble, Match Group, Constellation Energy, Energy Fuels, NextEra, Cameco, NexGen Energy, Uranium Energy, Oklo, NuScale, Rolls Royce Holdings, UBS Nuclear Economies UCITS ETF (WKN: A41F41), WisdomTree Uranium and Nuclear Energy UCITS ETF (WKN: A40Y9J), VanEck Uranium and Nuclear Technologies UCITS ETF (WKN: A3D47K), YieldMax Semiconductor Option Income ETF (WKN:A417E0 ), Yieldmax Big Tech Option Income ETF (WKN: A410XV), YieldMax Future of Defence Option Income ETF (WKN: A41SP2), Yieldmax MSTR Option Income Strategy ETC (WKN: A4A5J2), YieldMax ULTY Ultra Option Income Strategy ETC (WKN: A4AQSE). Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Der Börsen-Podcast Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Kim Smith from Tilt joined us on The Modern People Leader. We talked about how personalized leave support creates a better employee experience, what managers and HR teams often miss during leave transitions, and how to build a modern leave process that balances compliance, communication, and care.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode286Sponsor Links:

By day, Ashley Faus is the Head of Lifecycle Marketing Portfolio at Atlassian. By night (and weekend), she's a kiteboarder, musical theater performer, and survivor of some truly epic wardrobe malfunctions. In this episode of Punch Out with Katie and Kerry, we talk with Ashley about the steep learning curve of kiteboarding, why "punching out" is a life-saving skill on the water, and her "almost" Broadway career that led her to the world of marketing. In this episode we learned: What a "dry hair session" is in kiteboarding and why it's the ultimate status symbol (or a sign of being too safe). Why kiteboarding is essentially intentional waterboarding for the first few months of learning. The "Show Must Go On" reality of having a 7-foot zipper fail in the middle of a musical theater performance. How to handle a "loose bustle" on stage when it starts looking like a dead animal following you around. Why Ashley prefers a "changing poncho" (a cross between a nun's habit and a muumuu) as the ultimate beach-adjacent compromise. Want to know more about Ashley? You can find her at: LinkedIn: https://www.linkedin.com/in/ashleyfaus/ Professional Topics: Marketing Strategy, Thought Leadership, and Content Distribution. Easter Eggs: Keep an eye out for the occasional kiteboarding video or theater update in her feed! This episode is sponsored by  Chloë Forbes-Kindlen. Chloë helps teams like yours build and manage their business operating system in Notion. Head to businessops.co/punchout to access your free starter kit. Punch Out with Katie and Kerry is the show that dives deeper into topics you care about. We don't ask the questions everyone else does. We get to the real insights (and the weird hobbies, the guilty pleasures, the secret side hustles...the good stuff)! We find out what really makes your favorite folks tick. Punch out with Katie and Kerry! Have a cool hobby or side interest you want to talk about on Punch Out with Katie and Kerry Let us know:  Website: www.punchoutwithus.com Email: punchoutwithus@gmail.com Hosts: Kerry O'Shea Gorgone (@KerryGorgone) & Katie Robbert (@katierobbert)

Miles Clements is a Partner @ Accel where he helps to lead their growth fund. At Accel, Miles has led or invested in Atlassian, Cursor, Linear, and more.  AGENDA:  03:38 Where is True Alpha and Value in a World of AI  05:10 Why it is Total BS that Cursor is Dead 07:55 Why Cursor Were Not Wrong to Build Their Own Models 09:38 What is the Upside When Investing in Cursor at $27BN? 15:12 Do Sub $10BN Outcomes Even Matter to a Fund the Size of Accel? 17:07 Losing ServiceTitan: Investing Lesson Learned… 19:55 Missing Rippling: What We Learned 27:20 What is Accel's Win Rate 30:22 How VCs Approach Ownership Has Changed 35:09 Does Miles Feel Happier or Sadder to be an Anthropic Investor Post Pentagon Debacle 36:45 What Happens to Companies Like Miro and Snyk with High Prices to Live Upto? 38:05 Why it is a Great Time to Be Thoma Bravo and Vista  38:36 Why Founder-Led Companies Are Always Better 41:12 Why Would Any Founder Go Public Today 43:48 When is the Right Time to Take Chips Off The Table? 45:24 Should VC Firms Have Evergreen Funds and Be Responsible for Public Positions 50:28 You Can Pick Any VC to Join Accel, Who Does Miles Choose…     

Let us go through some of the recent updates from the @atlassian ecosystem#TeaWithSparxsys #CreateWithRovo #Confluence #WinTeam26Tickets #DataLakeUpdateshttps://www.ravisagar.in/videos/atlassian-updates-create-rovo-win-team26-tickets-data-lake-updates

On this episode of The Jira Life, we're joined by Walter Buggenhout for a deep dive into modern work planning across the Atlassian ecosystem. Planning work in Jira is about more than just creating issues and moving them across a board. Walter brings his expertise to the table to explore how teams can connect vision to execution using Jira and complementary tools like Jira Product Discovery, Rovo, and the Strategy Collection. We'll unpack how to: Align product ideas and strategic goals with delivery work Prioritize effectively using Jira Product Discovery Leverage Rovo's AI-powered insights to surface knowledge and accelerate decision-making Connect high-level strategy to day-to-day execution with the Strategy Collection Avoid common pitfalls when scaling planning across teams Whether you're a product leader mapping out long-term initiatives or a delivery team trying to bring clarity to your backlog, this episode is packed with practical insights on creating a cohesive planning system inside Atlassian Cloud. If you've ever struggled to bridge the gap between strategy and sprint work, this conversation is one you won't want to miss.The Jira Life ===================================== Having trouble keeping up with when we are live? Sign up for our Atlassian Community Group! https://ace.atlassian.com/the-jira-life/Or Follow us on LinkedIn! https://www.linkedin.com/company/the-jira-life/Become a member on YouTube to get access to perks: https://www.youtube.com/@thejiralife/joinHosts: - Alex "Dr. Jira" Ortiz https://www.linkedin.com/in/alexortiz89/ https://www.youtube.com/@ApetechTechTutorials- Rodney "The Jira Guy" Nissen https://www.linkedin.com/in/rgnissen/ https://thejiraguy.com- Sarah Wright https://www.linkedin.com/in/satwright/Producer: - "King Bob" Robert Wen https://www.linkedin.com/in/robert-wen-csm-spc6-a552051/Executive Producer: - Lina Ortiz Music provided by Monstercat: ===================================== Intro: Nitro Fun - Cheat Codes https://www.youtube.com/c/monstercatOutro: Fractal - Atrium https://www.youtube.com/c/monstercatinstinct

In this emergency episode, Alex and King Bob talk about the upcoming closing of the Austin and Manila Atlassian offices, the current performance of Atlassian's stock and whether storm clouds are ahead for Atlassian.

Alex Rampell and Erik Torenberg speak with Mike Cannon-Brookes, cofounder and CEO of Atlassian, about how to make sense of the SaaS selloff, why not all software companies face the same AI-driven risks, and how Atlassian is thinking about the shift from records to processes. They also examine the real design challenge of getting everyday users to trust and benefit from AI agents in enterprise workflows.   Resources: Follow Alex Rampell on X:  https://twitter.com/arampell Follow Erik Torenberg on X:   https://twitter.com/eriktorenberg Follow Mike Cannon-Brookes on X: https://twitter.com/mcannonbrookes Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In today's hyper-connected world, we have more ways to communicate than ever before — yet meaningful human connection is becoming increasingly rare.In this solo episode, Penny Zenker explores what she calls the growing “connection deficit” and why it is one of the biggest challenges facing leaders and organizations today.Despite constant messaging, video calls, and social media interactions, many teams feel more disconnected than ever. With workplace disengagement reaching record levels, leaders must rethink how they create trust, belonging, and meaningful collaboration.Penny shares practical examples of how organizations like Shopify, Atlassian, and GitLab intentionally design connection into their cultures — and how leaders can do the same.In this episode, you'll learn:• Why we are experiencing a modern connection deficit • How shallow communication is impacting employee engagement and leadership • The key psychological drivers behind real human connection at work • Why trust and vulnerability accelerate execution and collaboration • Simple practices leaders can use to design deeper connections in meetings and teamsAs technology and AI continue to reshape the workplace, the organizations that succeed will be the ones that intentionally cultivate human connection, trust, and purpose.Because in a digital world, connection doesn't happen by accident — it must be designed.

Melissa Theiss, Head of People Ops at Kit, joined us on The Modern People Leader to break down how HR leaders can build real business acumen using practical frameworks like Track-Racehorse-Jockey, her PeopleOps maturity diagnostic, and a 90-in-90 listening tour. We also walked through how to turn employee feedback into an actionable backlog and use it to shape a people strategy that supports the business first while staying people-centric.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode285Sponsor Links:

The best managers are the ones who never wanted the job. Today, we're talking to Rajeev Rajan, CTO at Atlassian. We discuss why developer joy outperforms productivity as an engineering goal, how the best managers are the ones who never wanted the job, and why every leadership playbook you've built stops working the moment your team grows. All of this right here, right now, on the Modern CTO Podcast!  To learn more about Atlassian, check out their website here.

Tim travelled to the Atlassian Williams F1 Team's London office to meet with James Bower, Commercial Director. A rare deep-dive into the inner workings on an F1 team before James jetted off to Australia for the season opener. Hosted on Acast. See acast.com/privacy for more information.

Change is easy to talk about and hard to embrace. Most people don't refuse change out of logic — they resist it out of instinct. Try the classic "fold your arms the other way" exercise: nothing meaningful is at stake, yet your body argues back. So if a tiny shift feels awkward, imagine what your team feels when you ask for a restructure, new CRM, new KPIs, or a new strategy. This transcript is a practical talk design that helps people move from grumbling compliance to genuine buy-in — especially when the change is big, public, or politically messy.  How do you define the change so people can actually embrace it? If the change isn't crystal clear, your audience will fill the gaps with fear, rumour, and resistance. Leaders often say "We're transforming" or "We're becoming more customer-centric," but that's fog, not a destination. Define the change like you're writing a survey question: precise, measurable, and impossible to misunderstand. In a Japanese context (where ambiguity can be read as risk), clarity matters even more; in a US or Australian context (where speed is prized), unclear messaging triggers frustration and scepticism. Spell out the outcome: what stops, what starts, what stays. Name the systems involved (Salesforce, Microsoft Teams, SAP, OKRs), the timeframe (this quarter, post-pandemic reality, as of 2026), and what "good" looks like. People embrace what they can picture. Do now: Write the change in one sentence + three bullets (Stop/Start/Continue). Read it aloud until it's clean. Why should you design the closing before the opening? Because your close is what people remember when they decide whether to support you — or quietly sabotage you.  Most presenters obsess over the opening and then improvise the ending, which is backwards. Start at the end for design clarity: you need two closes. Close #1 is what you say before Q&A. Close #2 is what you say after Q&A — and that second close is vital, because one random question can hijack attention. If a listener leaves thinking about an off-topic tangent, your recommendation dies in the carpark. Great executives at companies like Toyota, Rakuten, Amazon, and Atlassian know messaging discipline wins. Your final words should "ring in their ears" after the talk is over. Do now: Draft two 20–30 second closes: one to summarise, one to re-anchor after questions. What questions will kill your credibility — and how do you pre-empt them? Unprepared Q&A is where good change proposals go to die. You can have a brilliant idea, but if you stumble on obvious questions, people don't just doubt the detail — they doubt you. Anticipate likely objections: cost, workload, timing, fairness, risk, and "what's in it for my team?" Think in categories: frontline (time and tools), middle managers (authority and KPIs), executives (risk and ROI), and support functions (process and compliance). In multinationals, you'll also face "global vs local" questions; in SMEs, it's "we don't have resources." Pre-empt with short, confident answers and one supporting example each. You're not trying to win an argument; you're trying to protect trust. Do now: List the top 10 brutal questions. Write crisp answers. Rehearse them out loud with a colleague playing the sceptic.                                        How do you justify the need for change without sounding pushy? People accept change faster when you give a clear "why" and a compelling "proof," not a lecture. Your justification has two parts: (1) a direct statement of the need, and (2) an example that makes the need undeniable. The "why" should connect to real-world pressures: customer expectations, competitor moves, cost blowouts, quality issues, cyber risk, talent retention, or post-pandemic work patterns. The example should be specific: a client churn story, a missed deadline, a compliance near-miss, a sales cycle slowdown, or a service failure. In Japan, the example must be respectful and non-blaming; in the US, it can be more direct; in Australia, it should be straight but not self-righteous. Make it human, not abstract. Do now: Write your "why" in one sentence. Add one concrete example with numbers (even rough ones) and a short story. Why do you need three viable solutions, not one "obvious" answer? If you present one "perfect" option and two silly decoys, people feel manipulated — and they'll resist on principle. The goal is credibility. Offer three genuinely workable solutions, each realistic in cost, capability, and timeline. This signals balance and respect. Option sets also help different cultures and personalities: some audiences prefer incremental change (risk-managed), others want bold change (speed). Your job is to show you've done the thinking. Then — and this is the trick — you list pros and cons for each option in detail. Real options have real downsides; naming them makes you look objective and trustworthy. You're not hiding the pain; you're managing it. Do now: Build three options that could all work. For each, list 3 pros + 3 cons, including cost, time, and operational impact. How do you recommend "Option 3" without sounding like you've already decided? You earn the right to recommend Option 3 by making Options 1 and 2 feel genuinely credible first. Then you place your preferred choice last because recency bias is real: people remember what they heard most recently. But don't just declare it — prove it. State clearly: "We recommend Option 3." Then give evidence: impact on customers, speed to value, risk controls, resource fit, alignment to strategy, and what success looks like. If possible, anchor it in known frameworks (Kotter's change model, ADKAR, OKRs) or operational realities (training time, adoption curves, budget cycles). Finally, design an opening that punches through distraction — phones, notifications, social media — because the hardest part of public speaking in 2026 is winning attention in the first 30 seconds. Do now: Make Option 3 last, strongest, and evidence-backed. Write a punchy opening that earns attention fast. Conclusion If you follow this delivery structure — Opening → Need → Example → Option 1 (pros/cons) → Option 2 (pros/cons) → Option 3 (pros/cons) → Recommendation → Close #1 → Q&A → Final Close — you dramatically increase the odds of people adopting your change willingly. Getting people to change is hard. Getting them to embrace it takes design discipline. We have a bonus for you packed with free resources—one that'll make you go, 'Yep, this is exactly what I wanted.' Head to the link now.  dale-carnegie.co.jp/en/about/freebundles Author bio Dr. Greg Story, Ph.D. in Japanese Decision-Making, is President of Dale Carnegie Tokyo Training and Adjunct Professor at Griffith University. He is a two-time winner of the Dale Carnegie "One Carnegie Award" (2018, 2021) and recipient of the Griffith University Business School Outstanding Alumnus Award (2012). As a Dale Carnegie Master Trainer, Greg is certified to deliver globally across all leadership, communication, sales, and presentation programs, including Leadership Training for Results. Greg has written several books, including three best-sellers — Japan Business Mastery, Japan Sales Mastery, and Japan Presentations Mastery — along with Japan Leadership Mastery and How to Stop Wasting Money on Training. His works have been translated into Japanese, including Za Eigyō (ザ営業), Purezen no Tatsujin (プレゼンの達人), Torēningu de Okane o Muda ni Suru no wa Yamemashō (トレーニングでお金を無駄にするのはやめましょう), and Gendaiban "Hito o Ugokasu" Rīdā (現代版「人を動かす」リーダー). Greg also publishes daily business insights on LinkedIn, Facebook, and Twitter, and hosts six weekly podcasts. On YouTube, he produces The Cutting Edge Japan Business Show, Japan Business Mastery, and Japan's Top Business Interviews, which are widely followed by executives seeking success strategies in Japan.

Send a textThis episode features a candid conversation with Tiffany To, Executive Vice President of Atlassian Products and Platforms, about her non-linear career in tech, the evolving landscape for women leaders, and what it really takes to build courageous teams. Shivam and Igor unpack how risk-taking, failure, and experimentation shape meaningful careers, while Tiffany shares specific stories about listening to internal signals, choosing unconventional paths, and leveraging her perspective as a woman in tech to drive change. Together, they explore why psychological safety is the foundation for innovation, how leaders can create “safe-to-fail” environments, and the critical role of mentorship, coaching, and continuous learning in becoming the kind of leader others want to follow.Sound bites "You don't have to conform as much, especially when you've earned the right to bet on yourself.""You learn so much more about yourself from the risks that don't work out than from the ones that do.""You have to read your internal signals; your body often knows before your brain catches up."Chapters 00:00 Introduction to Tiffany Ko and Her Journey01:16 Tiffany's Non-Linear Career Path07:56 The Evolution of Women in Tech11:48 Redefining Success: The Pyramid Analogy18:53 Lessons from Early Career Experiences22:32 Navigating Systemic Challenges in Technology23:41 Building New Product Categories28:15 The Dynamics of Experimentation and Courage29:41 Creating Psychological Safety for Innovation36:11 Women in Leadership and Risk-Taking38:15 Learning from Failures and Personal Growth40:50 Resources for Personal and Professional DevelopmentFeatured Topics & InsightsThe Career Pyramid: Why starting broad across regions (like Japan and China) and functions builds the best leadership foundation.Systems of Work: Moving beyond "raw technology" to help customers realize a clear ROI through AI-powered workflows.Internal Signals: Why high achievers need to stop focusing solely on "winning" and start listening to what brings them joy.Leadership Resources: Tiffany's top picks include Brené Brown's Dare to Lead and The Knowledge Project podcast.

Jessica Zwaan joined us on The Modern People Leader for MPL Build's first-ever AMA, alongside Jalene Vandermey-Jackson from Workleap. We talked about what traditional HR mindsets must be let go to become builders, how to collect lightweight employee feedback to help build the right products, and more.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode284Sponsor Links:

In der heutigen Folge sprechen die Finanzjournalisten Anja Ettel und Holger Zschäpitz über einen Absturz bei Nvidia, einen Rebound bei Software und eine Wende im Warner Brothers Drama. Außerdem geht es um Atlassian, Zscaler, Datadog, Applovin, Crowdstrike, Workday, Salesforce, Opendoor, Intuitive Machines, Carvana, IonQ, Rigetti, Netflix, Paramount Skydance, Allianz, Deutsche Telekom, Münchener Rück (Munich Re), Scout24, Heidelberg Materials, Deutsche Börse, Kion, Hensoldt, Puma, Block (Square), WiseTech, Amazon, Nike, Verizon, Papa Johns, Pinterest, Autodesk, Ebay, UPS, Hypoport, Xtrackers MSCI World Industrials ETF (WKN: A113FN), Amundi S&P World Industrials Screened ETF (WKN: A3DSTE), iShares MSCI Europe Industrials Sector ETF (WKN: A2QBZ6), iShares S&P 500 Industrials Sector ETF (WKN: A142N0). Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Der Börsen-Podcast Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Atlas Camp 2026 has wrapped in Amsterdam, and this week on The Jira Life we're bringing you the inside scoop.Join us as we welcome Peter Van de Voorde and Dan Hardiker to break down everything that mattered from Atlas Camp 2026.From AI-first app development to the continued evolution of Forge and platform extensibility, Peter and Dan share their firsthand insights on:The biggest themes shaping the Atlassian ecosystem in 2026How AI agents and automation are changing the way developers build on Jira and ConfluenceWhat's new (and what's next) for Forge and the Atlassian developer platformRoadmap signals that solution partners and app vendors should be paying attention toThe hallway conversations and community energy you didn't seeAtlas Camp isn't just another conference — it's where Atlassian's developer future takes shape. If you build, administer, or extend Atlassian apps, this episode will help you understand how AI, extensibility, and ecosystem strategy are converging — and what that means for your work in the year ahead.Whether you attended in Amsterdam or followed from afar, this is your definitive Atlas Camp 2026 recap.

Diane Sadowski-Joseph, Co-Founder of Clarinet, joined us on The Modern People Leader. We talked about why most AI adoption stalls at “talking the talk,” how to choose the right AI use cases using the “trifecta” and the Five Frictions framework, and how “click cutters” can unlock compounding gains by removing cognitive and workflow friction.----  Here's everything Diane referenced: https://modernpeopleleader.kit.com/fivefrictionsSponsor Links:

At Davos this year, some of the biggest names in tech sent a clear signal. AI is no longer a novelty. It is no longer a proof-of-concept exercise. As Demis Hassabis of Google DeepMind suggested, AI will shape more meaningful work. And Satya Nadella of Microsoft was even more direct. AI only matters if it improves real outcomes for people. So what does that look like inside the enterprise? In this episode of Tech Talks Daily, I'm joined by Andrew Boyagi, Customer CTO at Atlassian, to unpack how the conversation has shifted from experimentation to execution. Developers, in many ways, are the perfect lens for understanding this moment. Over the last two decades, their role has expanded far beyond writing code. They now own products, infrastructure, operations, and business outcomes. AI is simply the next chapter in that evolution. Andrew argues that AI will not replace engineers. It will raise expectations. As intelligent tools absorb repetitive work, the real value moves up the stack. System design. Architectural thinking. Reviewing and refining AI-generated output and orchestrating solutions that solve genuine business problems. And through it all, humans remain firmly in the loop. We also explore what this means for leadership, why mindset is starting to matter more than technical skill alone, how organizations can avoid layering AI on top of broken processes. And why the companies pulling ahead are treating AI as a strategic discipline, not a feature upgrade. This is a conversation grounded in reality. It speaks to product leaders, CTOs, CIOs, and anyone asking a simple but powerful question. If we are investing in AI, what are we actually getting back? And before we close, we look ahead to Team '26 and the themes Andrew and his team are already working on.  If this year has been about proving value, what will the next chapter demand from enterprise leaders? As always, I'd love to hear your thoughts. Are you seeing proof of value in your organization yet, or are you still working through the pilot phase?

Link to episode page This week's Department of Know is hosted by Sarah Lane with guests Jon Collins, Field CTO, GigaOm, and Adam Palmer, CISO, First Hawaiian Bank Thanks to our show sponsor, Conveyor Ever dream of giving customers instant answers to their security questions without ever filling out another questionnaire? Meet Conveyor's new Trust Center Agent. The Agent lives in your Conveyor Trust Center and answers every customer question, surfaces documents and even completes full questionnaires instantly so customers can finish their review and be on their way. Top tech companies like Atlassian, Zapier, and more are using Conveyor to automate away tedious work. Learn more at www. conveyor.com. All links and the video of this episode can be found on CISO Series.com    

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/

Perform 2026 felt like a turning point for Dynatrace, and when Steve Tack joined me for his fourth appearance on the show, it was clear this was not business as usual.  We began with a little Perform nostalgia, from Dave Anderson's unforgettable "Full Stack Baby" moment to the debut of AI Rick on the keynote stage. But the humor quickly gave way to substance. Because beneath the spectacle, Dynatrace introduced something that signals a broader shift in observability: Dynatrace Intelligence. Steve was candid about the problem they set out to solve. Too much focus on ingesting data. Too much time spent stitching tools together. Too many dashboards. Too many alerts. The real opportunity, he argued, is turning telemetry into trusted, automated action. And that means blending deterministic AI with agentic systems in a way enterprises can actually trust. We unpacked what that looks like in practice. From United Airlines using a digital cockpit to improve operational performance, to TELUS and Vodafone demonstrating measurable ROI on stage, the emphasis at Perform was firmly on production outcomes rather than pilot projects. As Steve put it, the industry has spent long enough in "pilot purgatory." The next phase demands real-world deployment and real return. A big part of that confidence comes from the foundations Dynatrace has laid with Grail and Smartscape. By combining unified telemetry in its data lakehouse with real-time topology mapping and causal AI, Dynatrace is positioning itself as the engine behind explainable, trustworthy automation. When hyperscaler agents from AWS, Azure, or Google Cloud call Dynatrace Intelligence, they are expected to receive answers grounded in causal context rather than probabilistic guesswork. We also explored what this means for developers, who often carry the burden of alert fatigue and fragmented tooling. New integrations into VS Code, Slack, Atlassian, and ServiceNow aim to bring observability directly into the developer workflow. The goal is simple in theory and complex in execution: keep engineers in their flow, reduce toil, and amplify human decision-making rather than replace it. Of course, autonomy raises questions about risk. Steve acknowledged that for now, humans remain firmly in the loop, with most agentic interactions still requiring checkpoints. But as trust grows, so will the willingness to let systems self-optimize, self-heal, and remediate issues automatically. We closed by zooming out. In a market saturated with AI claims, Steve encouraged listeners to bet on change rather than cling to the status quo. There will be hype. There will be agent washing. But there is also real value emerging for those prepared to experiment, learn, and scale responsibly. If you want to understand where AI observability is heading, and how deterministic and agentic intelligence can coexist inside enterprise operations, this episode offers a grounded, practical perspective straight from the Perform show floor.

Liz Bronson, VP of People at Skimmer, joined us on The Modern People Leader to talk about intentionally “flatlining” her career for a period of time to prioritize parenting. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode282Sponsor Links:

After 12 years as the Work Futurist at Atlassian, Dom Price made the decision to leave a role so intertwined with who he was that even introducing himself meant saying those two things in the same breath. In this episode, Dom and I explore the human side of change - the fog, the discomfort, the loss of structure, and the surprising freedom that comes when you finally say out loud, “I don’t know yet.” Dom walks me through the reflection process that led to this moment, how he’s sitting with uncertainty rather than trying to outrun it, and the identity untangling that comes with stepping away from a global brand. We also dive into what he’s seeing inside boardrooms right now, why so many leaders are struggling to adapt to AI, and the mindset shift that separates those who thrive from those who wait it out. Dom and I discuss: The realisation that it was time for change - even without knowing what came next How Dom uses the “five Ls” every 90 days to check in on what’s working and what’s not The emotional rollercoaster of losing structure, status, and the adrenaline of a big corporate role How trusted friends helped Dom challenge his assumptions and experiment with “trying before buying” in his next chapter What leaders are getting wrong about AI and transformation - and the three patterns Dom sees repeatedly in boardrooms The human side of tech change and why organisations must upgrade their human systems, not just their technical ones Why productivity gains don’t matter unless you know how to reinvest the time The leadership behaviours that matter most in times of rapid change KEY QUOTES “Even though it was just one word, it felt like the wrapper around my whole identity.” “I had to say out loud, I’m okay not knowing what that is — and that was the hard bit.” “When you take away those foundations, it’s like a shot of discomfort I hadn’t felt for a long time.” Connect with Dom Price on Instagram, LinkedIn and his website. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits:Host: Amantha Imber Sound Engineer: The Podcast Butler See omnystudio.com/listener for privacy information.

Isabel Naidoo, Chief People Officer at Wise, joined us on The Modern People Leader to share how Wise builds a cohesive employee experience across global offices while still honoring local identity. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode281Sponsor Links:

In der heutigen Folge sprechen die Finanzjournalisten Philipp Vetter und Holger Zschäpitz über gute Laune dank OpenAI, einen krassen Einbruch bei Hims & Hers und einen schwachen Tag für deutsche Immobilienwerte. Nvidia, Oracle, Microsoft, SAP, Siemens, Novo Nordisk, Samsung Electronics, Micron, Vonovia, TAG Immobilien, Kyndryl, Monday.com, Workday, AppLovin, On Semi, Amazon, Meta, J.C. Penney, Salesforce, ServiceNow, Crowdstrike, Palo Alto Networks, Asana, Atlassian, Cognizant, den Expanded Tech-Software Sector ETF (WKN: A0B6MN) und die Anleihen von Nvidia Dollar bis 2050 (WKN: A28VHH), Alphabet bis 2050 (WKN: A2802E), Alphabet Dollar 2027 (WKN: A2802B), Oracle Dollar bis 2064 (WKN: A3L339). Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Der Börsen-Podcast Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Show DescriptionWhen Dave dies, who gets his domain name? How OpenClaw is a massive security concern, tips on handling a broad design surface area with a design system, changing database values with text-transform, should you declare CSS properties with @property, and was Chris wrong about CSS? Listen on WebsiteWatch on YouTubeLinks Your Home for a Century: Our 100-Year Domains and Plans 1Password Access after Death, Legacy Contacts | 1Password Community From magic to malware: How OpenClaw's agent skills become an attack surface | 1Password Openclaw (clawdbot), Agents and the Age of Personal Software - YouTube bbPress.org WooCommerce cap - no cap Nice Select · February 3, 2026 SponsorsAxe-ConAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.

The government is eyeing a major shake-up of the capital gains tax discount, and investors might be about to feel the pain. Atlassian’s share price fell 5% despite a double-digit growth in revenue as investors get worried that AI will eat its entire business up…for breakfast! KPMG is planning to outsource three quarters of its executive assistant positions to the Philippines. _ Download the free app (App Store): http://bit.ly/FluxAppStore Download the free app (Google Play): http://bit.ly/FluxappGooglePlay Daily newsletter: https://bit.ly/fluxnewsletter Flux on Instagram: http://bit.ly/fluxinsta Flux on TikTok: https://www.tiktok.com/@flux.finance —- The content in this podcast reflects the views and opinions of the hosts, and is intended for personal and not commercial use. We do not represent or endorse the accuracy or reliability of any opinion, statement or other information provided or distributed in these episodes.__See omnystudio.com/listener for privacy information.

Chase Warrington, Head of Operations at Doist, joined us on The Modern People Leader to break down how async-first work enables faster decision-making, stronger culture, and scalable operations. We talked about building trust without offices, the systems and rituals behind Doist's execution velocity, and why async workflows are foundational to effective AI adoption.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode280Sponsor Links:

The Product Momentum team first met Oji Udezue following his keynote at INDUSTRY 2025. And we just knew we had to have him on the pod. Oji is a highly skilled product leader whose CV includes companies like Calendly, Atlassian, and Microsoft. In addition, he co-authored (with wife, Ezinne Udezue) Building Rocket Ships, Product Management for High-Growth Companies a manual for product leaders, product managers, and executives who want to build faster, better, and more profitably (raise your hand if that describes you!). In this episode, we begin broadly by discussing the evolving role of product management in the era of AI. We then pivot quickly, drilling into some of the new challenges that require today’s product leaders to: Readjust to the accelerated pace of product development in today's AI-empowered world (the three-speed problem), Re-emphasize product management's core principles that remain constant, and Reconsider what counts as essential skills for today's product manager. AI's Impact and the Three-Speed Problem Companies do three things to build great technology products, Oji says: customer science, construction/development, and go-to-market. Each step on this cycle moves at its own pace. Before AI, engineering speed was the process bottleneck. But with AI-driven automation, construction has become much faster, creating new challenges in synchronizing these three phases. “We're all going to spend a lot of time balancing that equation,” Oji adds, “finding the practices, the team structure, the team ratios, the new AI tools that help us keep this thing fast but then speed up customer science and GTM.“ Essential Skills for Today's ‘Renaissance PM' The AI transformation calls on product managers to add new arrows to their quiver of skills – e.g., curiosity, humility, agency among them. In the same way we transitioned from a pre-internet to internet environment, Oji adds, AI “requires brand new thinking.” But the old skills still apply: “These are worth bringing up because a lot of PMs don't have them: communication, creativity, the ability to ship, and leadership – being the kind of person people want to follow – all of that has to do with judgment. The role is evolving into that of a “renaissance PM” who blends traditional skills with new AI-related capabilities. Evolution of the PM Role Has the PM role evolved so much that the skills required to perform it are now preeminent to the role itself? Is that where AI is taking us? “I’ve always thought the skills…the mindset…was way more important,” Oji offers. “The title just gives us a way to put it in a box. The title is nothing without the skills. That's why I wrote the book. Because I want more people to have the skillsets” required to succeed in this new world order. The post 180 / Oji Udezue: The Renaissance PM – Core Skills for Today's AI-Driven World appeared first on ITX Corp..

Show DescriptionWe're passing over another milestone episode and answering your Q's with our A's while we do it: Dave goes 3D printing, should CSS be inside a web component, Chris is trying to build web component for popovers, why isn't Vue used or talked about more, finding bugs in blocks in the new CodePen, and we're grateful for 700 episodes. Listen on WebsiteWatch on YouTubeLinks Vue.js - The Progressive JavaScript Framework | Vue.js vuejs/petite-vue Syntax: Hacking Pizza Ordering For Fun And Profit - YouTube Theo - Twitch SponsorsAxe-ConAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.

Jani Sanguino joined us on The Modern People Leader to share how Viva built an award-winning, manager-led AI transformation. We talked about the three AI competencies they prioritized, their 13-week manager-led learning path, and the most impactful use cases for their business.----  Go deeper on Viva's AI Journey in Roundtable with Jani (only 10 seats)Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode279----Sponsor Links:

We recapped MPL Live Austin with attendees Cindy Lopez (Senior Director, People & Culture, Pattern Bioscience) and Marlene Arroyo (Founder, Peoplecraft).----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode278Sponsor Links:

Show DescriptionWeb Day Out is coming up and Jeremy Keith from Clearleft (name pending the ShopTalk Show rebrand) is here to chat about it and while we've got him, Dave throws him on the hot seat to answer some hard hitting journalism questions about the state of the web in 2026. Listen on WebsiteWatch on YouTubeLinks Web Day Out in Brighton, March 12th 2026 Strategic design partners for website and service design | Clearleft css.properties Raycast - Your shortcut to everything Rachel Andrew – Doing stuff on the web since 1996. Browser support at Clearleft CSS Day 2026, 11th & 12th of June, Amsterdam SponsorsAxe-conAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.

Show DescriptionWhy are AI tools so bad at CSS layout, Robin Rendle inspired monospaced fonts, CodePen's slideVars library, why are Safari dev tools so hard to use, button follow up, and what player component does ShopTalk use for it's website? Listen on WebsiteWatch on YouTubeLinks Clair Obscur | Expedition 33 Apple One Where's the AI design renaissance? Outlyne Bolt Lando Norris Robin Rendle Dave Rupert Casey Newton slideVars - Automatic Sliders for CSS Custom Properties Media Chrome Docs SponsorsAxe-conAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.