Podcasts about Apis

ZITADEL is pioneering the next generation of identity infrastructure, providing a developer-first platform that handles everything from basic authentication to complex multi-tenant B2B scenarios. With $11.5 million in funding and a unique open-source approach, ZITADEL has positioned itself as the "GitLab for identity" - offering both self-hosted and SaaS deployment options while maintaining flexibility through comprehensive APIs. In a recent episode of Category Visionaries, I sat down with Florian Forster, CEO and Co-Founder of ZITADEL, who recently relocated from Switzerland to the Bay Area to accelerate the company's go-to-market efforts and tap into the massive US opportunity. Topics Discussed: ZITADEL's comprehensive identity platform covering authentication, authorization, and multi-tenant scenarios The company's innovative dual-licensing approach combining AGPL open source with commercial offerings Florian's strategic decision to relocate his entire family from Switzerland to the Bay Area The evolution from per-user pricing to capability-based pricing models Building a global team across three regions: Europe for engineering, US for go-to-market, and Argentina for customer success Marketing strategy focused 80/20 on developers versus buyers Cultural differences between European and American go-to-market approaches Future vision for AI risk mitigation and behavioral analytics in identity management GTM Lessons For B2B Founders: Embrace "cash or code" open source strategy: Florian introduced the concept of "cash or code" - users either pay for commercial features or contribute meaningfully to the open source project. ZITADEL's shift from Apache to AGPL licensing ensures that free users contribute back to the community while commercial customers get enterprise features and SLAs. This dual-licensing approach creates sustainable economics while building a strong community foundation. Rethink pricing to align with customer value creation: ZITADEL is moving away from per-user pricing because, as Florian explains, "we are the system that makes users useful. So if we hinder our customers on creating users in the first place, it kind of defeats the whole idea." Instead, they're shifting to capability-based pricing where customers pay for specific features like compliance notifications rather than user seats. This removes friction from customer growth and better aligns pricing with actual value delivered. Focus marketing efforts on developers, not just buyers: ZITADEL discovered that an 80/20 split between developer-focused and buyer-focused marketing works best. Florian notes that "targeting the developer ultimately leads to us being in the debate when somebody procures a system like ours." Developers do the initial evaluation and recommendation, so winning them over is crucial for getting into procurement discussions with buyers. Leverage geographic arbitrage strategically: ZITADEL operates across three regions - Europe for core engineering (quality engineers at $100-250K vs $250-500K in Bay Area), US for go-to-market, and Argentina for customer success and sales engineering. This approach optimizes for both cost efficiency and timezone coverage while maintaining quality across all functions. Adapt messaging for cultural differences: Moving from Switzerland to the US taught Florian that "in US marketing, things get overinflated quite severely, but the buyer knows that and automatically deducts some of it." Europeans tend to under-market solid products, while US buyers expect and discount for marketing inflation. B2B founders must calibrate their messaging appropriately for different markets and buyer expectations.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co   //   Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM   

Alistair Ross, creator of Al's Retro Geek Lab and the Back to the BBS documentary series, joins Alex to trace a life in computers from Atari 2600/VCS, ZX Spectrum, and IBM PC XT to today's maker scene, and to explain how modern cybersecurity practice shapes the way he runs and protects vintage systems. We talk nostalgia's pull (the smells, sounds, and CRT glow), the move from Scotland to New Zealand and what that meant for access to gear (hello, rare Poly-1), and even why the famously beefy UK plug reflects a tradition of safety‑first engineering, much like the internet standards that still underpin the modern net.Alistair unpacks the BBS resurgence: disappointment with a homogenized, corporate web drove hobbyists back to sysop‑run spaces where community matters. Modern boards run over Telnet/SSH and can bridge to APIs for news, weather, and chats; clients like SyncTERM and Netrunner make dialing in easy.From a security lens he recommends containerizing BBS services, strict least privilege, and favoring Linux for isolation; user access should start at low levels and only be elevated after trust is earned. For home labs: split traffic with two SSIDs and VLANs, keep retro boxes on untrusted segments, and remember old machines often can't do SSH - so plan defenses around clear‑text Telnet where needed.We cover counterfeit parts (how to spot sanded/re‑marked ICs, why to verify with ROM dumps, and when to buy from Mouser vs. eBay/AliExpress/Temu) and celebrate a community that helps each other, from FujiNet's fast hardware/software iteration to Perifractic's bid to revive the Commodore brand, plus forums like VCFed and Vogons.Asked which late retro icon he'd most like to interview, Alistair chooses Gary Kildall, outlining how CP/M's APIs and BIOS abstraction seeded the microcomputer era and how history often gets the story wrong. He also recalls lessons from interviews with Ken & Roberta Williams (Sierra): pioneers built from passion; today's breakthroughs feel iterative except for inflection points like AI.Media that shaped him? BBC's push around the BBC Micro with serious engineering, Econet networking, and classroom focus, plus magazines that taught kids to type, debug, and learn. He argues for hands‑on, offline-first learning again.On building for old platforms, Alistair mixes joyfully simple QuickBasic with modern workflows: write on a fast machine, cross‑compile with OpenWatcom or DJGPP, test in DOSBox, then copy to real hardwae and even draft small games with Gemini CLI before refining. He notes id Software's Doom used a similar cross‑compile workflow on NeXT.Future collabs he'd love? Deep hardware/firmware projects with teams like FujiNet, and admiration for projects such as PicoGUS and PicoMem that extend 8‑bit ISA machines, ideally while keeping upgrades removable so the original hardware (and smells!) remain. He also walks through software preservation, flux‑level imaging with Greaseweazle, sharing drivers to archive.org, and his balanced view on abandonware vs. active copyrights.Finally, Alistair offers guidance for newcomers: try emulation first, then step into hardware as budget allows (prices are rising); participate in forums; contribute images, manuals and code so others can restore machines tomorrow.

ITSPmagazine Weekly Update | From Black Hat to Black Sabbath / Ozzy: AI Agents and Guitars (again!) + Entry Level Cybersecurity Jobs, Robots Evolution, and the Weekly Recap You Didn't Expect  -  On Marco & Sean's Random & Unscripted Podcast  __________________Marco Ciappelli and Sean Martin are back with another random and unscripted weekly recap—from pre-Black Hat buzz and AI agents to vintage wood guitars, talent gaps, and Glen Miller debates. This week's reflection hits tech, music, and philosophy in all the right ways. Tune in, ramble with us, and subscribe. __________________Full Blog Article This week's recap was a ride.Sean and I kicked things off with the big news: we're officially consistent. Weekly recap number… I lost count. But we're doing it. We covered what ITSPmagazine's been working on, what we've been publishing, and where our minds are wandering lately (spoiler: everywhere).Black Hat USA 2025 is just around the corner, and we're deep into prep mode. I even bought a paper map. Why? I don't know. But we've got some great pre-event conversations already out—like our annual chat with Black Hat GM Steve Wylie, plus briefings with Dropzone AI (get ready for “agentic automation” to be the next big buzzword) and Akamai (yes, bots and APIs again, but with a solid strategy twist).We also talked about a fantastic episode Sean did on resonance and reinvention—featuring Cindy, a luthier in NYC who builds custom guitars using century-old beams from historic buildings. The pickups even use the old nails. Music and wood with a past life. It's beautiful stuff.Speaking of stories, I officially closed down the Storytelling podcast. But don't worry—I'm still telling stories. I've just shifted focus to “Redefining Society and Technology,” my newsletter and podcast series where I explore how humans and tech evolve together. This week's edition tackled the merging of humans and machines as a new species. Isaac Asimov meets Andy Clark.We also got a bit philosophical about AI and jobs. If machines take over the “easy” roles, where do humans begin? Are we cutting off our own training paths?Sean's episode with John Solomon dug into the cybersecurity hiring crisis—challenging the idea that we have a “talent gap.” The real issue? We're not hiring or nurturing people properly.Oh, and I finally released my long-overdue interview with Michael Sheldrick from Global Citizen. Music. Social impact. Doing good. It's all there. I'm honored to support even a small piece of what he's building.And yes… Ozzy. RIP. Music never dies.So if you're into random reflections with meaning, tech with humanity, and stories that don't always follow the rules—subscribe, share, and join the ride.See you in Vegas. Or the future. Or somewhere in between.________________ KeywordsBlack Hat USA 2025, ITSPmagazine recap, Marco Ciappelli, Sean Martin, cybersecurity podcast, AI in cybersecurity, agentic automation, Dropzone AI, Akamai APIs, HITRUST security, Global Citizen, Michael Sheldrick, storytelling podcast, Redefining Society, Andy Clark, Isaac Asimov, human-machine evolution, cybersecurity talent gap, custom guitar NYC, Ozzy tributeHosts links:

Ahead of Black Hat USA 2025, Sean Martin and Marco Ciappelli sit down once again with Rupesh Chokshi, Senior Vice President and General Manager of the Application Security Group at Akamai, for a forward-looking conversation on the state of AI security. From new threat trends to enterprise missteps, Rupesh lays out three focal points for this year's security conversation: protecting generative AI at runtime, addressing the surge in AI scraper bots, and defending the APIs that serve as the foundation for AI systems.Rupesh shares that Akamai is now detecting over 150 billion AI scraping attempts—a staggering signal of the scale and sophistication of machine-to-machine activity. These scraper bots are not only siphoning off data but also undermining digital business models by bypassing monetization channels, especially in publishing, media, and content-driven sectors.While AI introduces productivity gains and operational efficiency, it also introduces new and uncharted risks. Agentic AI, where autonomous systems operate on behalf of users or other systems, is pushing cybersecurity teams to rethink their strategies. Traditional firewalls aren't enough—because these threats don't behave like yesterday's attacks. Prompt injection, toxic output, and AI-generated hallucinations are some of the issues now surfacing in enterprise environments, with over 70% of organizations already experiencing AI-related incidents.This brings the focus to the runtime. Akamai's newly launched Firewall for AI is purpose-built to detect and mitigate risks in generative AI and LLM applications—without disrupting performance. Designed to flag issues like toxic output, remote code execution, or compliance violations, it operates with real-time visibility across inputs and outputs. It's not just about defense—it's about building trust as AI moves deeper into decision-making and workflow automation.CISOs, says Rupesh, need to shift from high-level discussions to deep, tactical understanding of where and how their organizations are deploying AI. This means not only securing AI but also working hand-in-hand with the business to establish governance, drive discovery, and embed security into the fabric of innovation.Learn more about Akamai: https://itspm.ag/akamailbwcNote: This story contains promotional content. Learn more.Guests:Rupesh Chokshi, SVP & General Manager, Application Security, Akamai | https://www.linkedin.com/in/rupeshchokshi/Hosts:Sean Martin, Co-Founder at ITSPmagazine | Website: https://www.seanmartin.comMarco Ciappelli, Co-Founder at ITSPmagazine | Website: https://www.marcociappelli.com______________________ResourcesLearn more and catch more stories from Akamai: https://www.itspmagazine.com/directory/akamaiLearn more about ITSPmagazine Brand Story Podcasts: https://www.itspmagazine.com/purchase-programsNewsletter Archive: https://www.linkedin.com/newsletters/tune-into-the-latest-podcasts-7109347022809309184/Business Newsletter Signup: https://www.itspmagazine.com/itspmagazine-business-updates-sign-upAre you interested in telling your story?https://www.itspmagazine.com/telling-your-story

Fal.ai, once focused on machine learning infrastructure, has evolved into a major player in generative media. In this episode of The New Stack Agents, hosts speak with Fal.ai CEO Burkay Gur and investor Glenn Solomon of Notable Capital. Originally aiming to optimize Python runtimes, Fal.ai shifted direction as generative AI exploded, driven by tools like DALL·E and ChatGPT. Today, Fal.ai hosts hundreds of models—from image to audio and video—and emphasizes fast, optimized inference to meet growing demand.Speed became Fal.ai's competitive edge, especially as newer generative models require GPU power not just for training but also for inference. Solomon noted that while optimization alone isn't a sustainable business model, Fal's value lies in speed and developer experience. Fal.ai offers both an easy-to-use web interface and developer-focused APIs, appealing to both technical and non-technical users.Gur also addressed generative AI's impact on creatives, arguing that while the cost of creation has plummeted, the cost of creativity remains—and may even increase as content becomes easier to produce.Learn more from The New Stack about AI's impact on creatives:AI Will Steal Developer Jobs (But Not How You Think) How AI Agents Will Change the Web for Users and Developers Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

In this episode, the conversation centres on embedded finance and digital transformation with Christie Kristensen, Partnership Manager at Danske Bank. Christie shares her experience working across fintech and banking, and how Danske is evolving to meet the needs of corporate clients by embedding financial services directly into enterprise systems such as ERPs and treasury platforms. The discussion explores how Danske is moving beyond regulatory open banking APIs to offer premium APIs that support real-time, data-driven decision-making. These APIs are designed to automate traditionally manual workflows like financial reporting and cash management, reducing reliance on outdated file-based systems. Christie emphasises a strong co-creation model, where product development is informed directly by customer and partner feedback, ensuring relevance and tangible impact. She also describes how Danske's strategy, known as the 428 plan, aims to position the bank as a vital infrastructure player in the ecosystem—focusing on powering finance rather than owning the user interface. The integration of AI and real-time data is also touched upon, with a view towards future-proofing financial operations and enabling predictive insights for finance professionals. With a culture that mirrors fintech agility, cross-functional collaboration between tech and business, and a firm commitment to customer-centric innovation, Danske Bank is setting a benchmark for how traditional institutions can reinvent themselves in the embedded finance era.

OAI ambassador Erik Wilde explores how new specs like Arazzo and MCP are shaping AI-driven workflows, and why APIs may soon be your last line of defense. 

Protecting against sophisticated AI-powered attacks on APIs - identifying anomalies and threatsMeeting API compliance and data protection challenges with emerging technologiesMoving towards a mature posture for API securityThom Langford, Host, teissTalkhttps://www.linkedin.com/in/thomlangford/Tiago Rosado, Chief Information Security Officer, Asitehttps://www.linkedin.com/in/tiagorosado/Anne Coulombe, CISO, Bleuet LLChttps://www.linkedin.com/in/annecoulombe/Menachem Perlman,  Director, Global Solutions Engineering at Akamai Technologies - API Security,  Akamaihttps://www.linkedin.com/in/menachemperlman/

How Tech Enables Circular Innovation – with Patrick HypscherWhat does it really take to build circular business models — and how can technology accelerate that transformation?In this episode of HappyPorch Radio, we're joined by Patrick Hypscher, a circular business strategist, advisor, and the voice behind Circularity.fm. Patrick brings unique insights from working at the intersection of digital innovation and the circular economy — from launching a software startup to building BlueMovement, a home appliance subscription service inside Bosch Siemens Home Appliances (BSH).We explore the vital role of technology in enabling, scaling, and adapting circular models, particularly product-as-a-service (PaaS). Patrick shares honest reflections on what worked, what didn't, and how thoughtful use of digital tools can remove friction, support iteration, and accelerate progress.In this episode:Patrick explains why building in-house tech is often unnecessary — and even risky — for early-stage PaaS ventures.We discuss how SaaS tools, APIs, and no-code platforms offer the flexibility needed to support fast iteration and growth.Patrick explores the enabling role of IoT and remote condition monitoring in rental and performance-based models.He shares real-world examples, including cooling-as-a-service from Kaer, pay-per-part manufacturing at Trumpf, HP Instant Ink, and Hilti subscriptions.We reflect on organisational culture, channel conflict, and internal buy-in — and how to navigate these in large businesses.Finally, we explore the importance of iteration, adaptability, and learning cycles when piloting circular models.This episode offers practical insights for anyone working at the intersection of digital systems and circular design.Mentioned in this episode:BlueMovement (BSH): https://www.bluemovement.com/nl-enKaer – Cooling-as-a-Service: https://www.kaer.com/Trumpf – Pay-per-Part Manufacturing: https://www.trumpf.com/en_INT/HP Instant Ink: https://instantink.hpconnected.com/uk/en/l/v2Hilti Tool Subscriptions: https://www.hilti.co.uk/content/hilti/E1/GB/en/support/support/faqs/subscription-portal/general-subscription-portal.htmlAbout our guest:Patrick Hypscher is a circular strategist and the host of Circularity.fm, where he interviews founders and practitioners building real-world circular business models. With a background in economics, philosophy, and entrepreneurship, Patrick brings a systems-thinking lens to his work.He previously led the

In this episode of the Netwealth Portfolio Construction podcast, Paul O'Connor is joined by Eric Almeraz from APIS Capital Advisors, Eric offers a window into the world of global small caps, where 90% of listed companies live. Eric shares his thoughts on: How to spot value and avoid traps in a universe of 19,000 stocks, many of which they think are under-researched and mispriced. Why small caps are a goldmine for shorting, with themes like Chinese renewables and broken growth stories - companies that are over-earning or benefiting from temporary booms. What makes a contrarian view profitable, and how APIS used deep research to uncover a multi-year opportunity in overlooked tech. How regulation is reshaping industries, with real-world examples. Why AI isn't just hype, discover how AI is impacting investment strategies.

In Folge 160 werfen Daniel Höhnke und Tim Schestag einen Blick in die Zukunft des digitalen Handels – und stellen euch Mirakl Nexus vor: eine Plattformvision, die klassische Marktplatztechnologie mit AI-native Services und Agentic Commerce verbindet. Was steckt hinter diesem Next-Level-Baukasten für skalierbare Commerce-Experiences? Welche Rolle spielen KI-Agenten, APIs und modulare Commerce-Architekturen im neuen Ökosystem? Daniel und Tim ordnen ein, diskutieren das Potenzial und sprechen über konkrete Anwendungsfälle.

On the podcast today we have Adam Silverstein. He's here to discuss how new browser APIs and web technologies are transforming the WordPress experience. Adam explains advancements like the Popover API, Scroll Animations, CSS carousels, customisable selects, view transitions, and speculative loading, many of which reduce reliance on heavy JavaScript and improve accessibility, performance, and user experience. He also touches upon modern image formats, browser-based image processing, and running AI directly in the browser. Adam highlights the growing collaboration among browser vendors and encourages developers to engage in shaping browser standards for the open web. Whether you're a theme designer, plugin developer, or site owner simply curious about what's next, this episode is for you.

Luke Marsden, CEO and Founder, HelixML talks about Private GenAI. What is it? Why do you need it? We also discuss integration into CI/CD pipelines, the layers of a Private GenAI Stack, and why most organizations are opting for RAG over fine-tuning LLMs.SHOW: 943SHOW TRANSCRIPT: The Cloudcast #943 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS" SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their website[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:HelixML websiteHelixML GitHubHelix 1.0 Announcement BlogTopic 1 - Welcome to the show Luke. Give everyone a brief intro.Topic 2 - Let's start with Priavte GenAI. What is it? Why should organizations out there consider it? Why not just use OpenAI GPT's and fine tune them?Topic 2a Follow up - Regulatory Compliance - take the opposing forces in the EU for instance to using SaaS based services based in the United States.Topic 3 - Let's break down the layers in a typical Private AI stack. I'm seen various ways to represent this such as infrastructure layer, MLOps layer, models, data layer (typically RAG), etc. How do you break up the stack into individual componentsTopic 4 - My mind immediately jumps to similarities in the DevOps space. Abstraction layers and components like Docker and containers comes to mind, integration into CI/CD pipelines, etc. I feel like MLOps is it's own thing with specific tools and workflows. Does this all come together and if so how?Topic 5 - Also, what does this mean for versioning and lifecycle management of the models and the data?Topic 6 - We are seeing more and more data pipelines with backed by multiple models, sometimes in multiple locations. How do handle this from both a scheduling and interface standpoint? Is everything hidden behind APIs for instance?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

APIs have often been cited as one of the most useful among the recently developed tools for treasurers, but are they really delivering? We look at current and future use cases, obstacles to adoption, and what exactly treasurers need to do in order to extract the most from this technology.

In this podcast, Jakub Konieczny, Senior Analyst, is joined by Ameer Gaili, Senior Analyst, as they discuss the findings of their recently published Network APIs: worldwide forecast 2024–2030 report. While Analysys Mason forecasts the network application programming interface (API) market to reach USD7.6 billion by 2030, Jakub and Ameer explain why the true opportunity lies in the long-term, with the market potentially growing four to eight times larger by 2035. Their discussion examines the APIs expected to drive this growth, highlights early monetisation trends, assesses the potential for communications quality APIs (such as Quality on Demand) and offers strategic recommendations for operators. Their conversation also explores why Analysys Mason's forecast numbers are more grounded compared to other forecasts.

In this Beekeeping Today Podcast Short, Dr. Dewey Caron returns with another insightful “audio postcard,” this time exploring the marvel of honey—its meaning for honey bees, its significance for beekeepers, and its surprising impact on human health. Dewey begins by examining how we define honey, touching on both scientific and regulatory perspectives, including recent efforts like the proposed Honey Integrity Act. He then dives into how honey is processed by bees—from nectar foraging to enzyme transformation and evaporation—highlighting the bee-to-bee communication system of trophallaxis that powers the hive's food-sharing network. Beyond the hive, Dewey explores honey's powerful medicinal properties. Drawing from a comprehensive mega-review of over 100 studies, he outlines honey's antimicrobial, anti-inflammatory, antioxidant, and even anti-cancer effects, with a focus on manuka honey's growing use in clinical wound care. Finally, he turns the spotlight on beekeeper-to-bee communication—urging beekeepers to proactively manage supers and recognize nectar flows to support colony health and maximize harvest. Whether you're fascinated by bee biology or interested in honey as a functional food, this episode is packed with sweet insight. Links & Resources: Saeed Samarghandian, Tahereh Farkhondeh and Fariborz Samini, 2017. Honey and Health: A Review of Recent Clinical Research. Pharmacognosy Res. Apr-Jun;9(2):121– 27. doi: 10.4103/0974-8490.204647 Crailsheim, Craig, 1998. Trophallactic interactions in the adult honeybee (Apis mellifera L). https://www.apidologie.org/articles/apido/pdf/1998/01/Apidologie_0044-8435_1998_29_1-2_ART0006.pdf Collison, Clarence 2017. Trophallaxis. Bee Culture https://beeculture.com/a-closer-look-12/ Tezze, A.A. and W.M. Farina 1999.  Trophallaxis in the honeybee, Apis mellifera: the interactions between viscosity and sucrose concentration of the transferred solution. Anim. Behav. 57: 1319-1326. Brought to you by Betterbee – your partners in better beekeeping. ______________ Betterbee is the presenting sponsor of Beekeeping Today Podcast. Betterbee's mission is to support every beekeeper with excellent customer service, continued education and quality equipment. From their colorful and informative catalog to their support of beekeeper educational activities, including this podcast series, Betterbee truly is Beekeepers Serving Beekeepers. See for yourself at www.betterbee.com Copyright © 2025 by Growing Planet Media, LLC

Influencing without authority is the hidden superpower of security leadership—and a crucial skill every engineering leader must master. In this episode, Srinath Kuruvadi (Head of Cloud Security @ JPMorgan Chase) breaks down how to influence without formal authority and advocate when ROI isn't immediately clear. We cover tactics for shaping problems from the POV of other stakeholders, Plus, strategies to establish shared outcomes, insights on optimizing your time, emerging AI x security trends, and how his team is operationalizing curiosity & experimentation through The Innovation Lab.ABOUT SRINATH KURUVADISrinath Kuruvadi is a globally recognized cybersecurity executive and cloud security leader with over two decades of experience driving security innovation at some of the world's most influential technology companies, including Netflix, Meta, Google, Lyft, and JPMorgan Chase. Currently serving as Managing Director and Head of Cloud Security at JPMorgan Chase, he leads the enterprise-wide security strategy across APIs, containers, and cloud platforms, shaping the future of banking technology.Srinath's approach blends deep technical expertise with executive-level risk management. At Netflix, he headed cloud security for one of the largest AWS environments globally, pioneering scalable governance and identity systems that supported massive data throughput. At Meta and Google, he led the development of custom infrastructure security systems protecting billions of users, including Facebook's Blackbird SIEM+SOAR platform.Beyond his executive roles, Srinath is a strategic advisor and angel investor, with five successful startup exits including Bridgecrew, Lightspin, Oxeye, Gem Security, and Kivera. He is also a trusted advisor to venture capital firms like YL Ventures and Glilot Capital Partners, and served on Amazon's Global CISO Advisory Council.He holds multiple patents in web application security, database protection, and abuse detection, and has authored research on algorithmic solutions in industrial systems. Srinath is also multilingual and committed to lifelong learning, exemplified by a sabbatical that took him to over 35 countries for cultural, linguistic, and creative growth.With a Master's degree in Computer Science from North Carolina State University and a Bachelor's from BITS Pilani, Srinath is known for transforming security from a blocker into a business accelerator.Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!

In Episode 182 of The Citrix Session, host Bill Sutton and Citrix's Todd Smith dive into the expanded capabilities of XenServer 8.4, Citrix's enterprise-grade hypervisor. No longer just for Citrix workloads, XenServer is now fully supported for all workloads under both Citrix Platform Licensing and UHMC—making it a strong contender for organizations exploring alternatives to VMware and Hyper-V.

Sherwood Callaway, tech lead at 11X, joins us to talk about building digital workers—specifically Alice (an AI sales rep) and Julian (a voice agent)—that are shaking up sales outreach by automating complex, messy tasks.He looks back on his YC days at OpKit, where he first got his hands dirty with voice AI, and compares the wild ride of building voice vs. text agents. We get into the use of Langgraph Cloud, integrating observability tools like Langsmith and Arize, and keeping hallucinations in check with regular Evals.Sherwood and Demetrios wrap up with a look ahead: will today's sprawling AI agent stacks eventually simplify? // BioSherwood Callaway is an emerging leader in the world of AI startups and AI product development. He currently serves as the first engineering manager at 11x, a series B AI startup backed by Benchmark and Andreessen Horowitz, where he oversees technical work on "Alice", an AI sales rep that outperforms top human SDRs.Alice is an advanced agentic AI working in production and at scale. Under Sherwood's leadership, the system grew from initial prototype to handling over 1 million prospect interactions per month across 300+ customers, leveraging partnerships with OpenAI, Anthropic, and LangChain while maintaining consistent performance and reliability. Alice is now generating eight figures in ARR.Sherwood joined 11x in 2024 through the acquisition of his YC-backed startup, Opkit, where he built and commercialized one of the first-ever AI phone calling solutions for a specific industry vertical (healthcare). Prior to Opkit, he was the second infrastructure engineer at Brex, where he designed, built, and scaled the production infrastructure that supported Brex's application and engineering org through hypergrowth. He currently lives in San Francisco, CA.// Related Links~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Sherwood on LinkedIn: /sherwoodcallaway/ #aiengineering Timestamps:[00:00] AI Takes Over Health Calls[05:05] What Can Agents Really Do?[08:25] Who's in Charge—User or Agent?[11:20] Why Graphs Matter in Agents[15:03] How Complex Should Agents Be?[18:33] The Hidden Cost of Model Upgrades[21:57] Inside the LLM Agent Loop[25:08] Turning Agents into APIs[29:06] Scaling Agents Without Meltdowns[30:04] The Monorepo Tangle, Explained[34:01] Building Agents the Open Source Way[38:49] What Production-Ready Agents Look Like[41:23] AI That Fixes Code on Its Own[43:26] Tracking Agent Behavior with OpenTelemetry[46:43] Running Agents Locally with Phoenix[52:55] LangGraph Meets Arise for Agent Control[53:29] Hunting Hallucinations in Agent Traces[56:45] Off-Script Insights Worth Hearing

Industrial Talk is talking to Tacoma Zach, Co-Founder and CEO at MentorAPM about "Functionally unite end-to-end asset lifecycle management". Scott Mackenzie interviews Tacoma Zach Mentor about Mentor APM, a comprehensive asset management solution. Tacoma shares his background in chemical engineering and asset management, highlighting his experience with Veolia and ExxonMobil. Mentor APM offers a 29-day implementation process, leveraging pre-loaded asset libraries and failure modes. The platform integrates with existing ERP systems and uses AI for rapid, accurate asset assessments. Tacoma emphasizes the importance of proactive asset management, prioritization, and the human component in change management. Mentor APM aims to enhance reliability, reduce costs, and improve operational stability. Action Items [ ] Reach out to Tacoma Zach at mentor APM to learn more about the solution. [ ] Connect with Tacoma Zach on LinkedIn. Outline Introduction and Welcome to Industrial Talk Scott MacKenzie welcomes listeners to the Industrial Talk podcast, emphasizing the importance of celebrating industrial heroes. Scott introduces Tacoma Scott encourages listeners to dive into the industry, emphasizing the need for education, collaboration, and innovation. Scott announces the launch of the Industrial News Network (INN) to keep up with the fast-moving industry and connect people with the right information. Tacoma Zack Mentor's Background and Journey Tacoma Zach Mentor shares his background, starting as a graduate chemical engineer from the University of Toronto. Tacoma discusses his career in contract operations, eventually leading to Veolia, and his transition into asset management. He explains the founding of his engineering company in 2005 and his involvement with Herbalytics, a spin-out from Veolia focused on risk and criticality analysis. Tacoma describes the development of Mentor APM in 2017, aiming to unify various asset management functionalities into one comprehensive solution. Mentor APM's Unique Value Proposition Scott and Tacoma discuss the crowded market of asset management platforms and what sets Mentor APM apart. Tacoma explains the origins of the name "Mentor," derived from the best practices and experiences from Veolia and other companies. He highlights the importance of automation and pre-loading data to reduce rework and manual processes. Tacoma emphasizes the need for a unified solution that integrates various aspects of asset management, from failure modes to prioritization. Implementation and Adoption of Mentor APM Scott inquires about the implementation process and timeline for Mentor APM. Tacoma explains that Mentor APM can be implemented in as little as 29 days, thanks to pre-loaded asset libraries and failure modes. He discusses the importance of prioritization and the ability to quickly assess and manage critical assets. Tacoma highlights the flexibility of Mentor APM to adapt to different customer needs and the importance of change management in the adoption process. Integration with Existing Systems and AI Advancements Scott asks about the integration of Mentor APM with existing ERP systems. Tacoma explains that Mentor APM has published APIs to seamlessly integrate with various systems, including ERP solutions. He introduces Mentor Lens, a tool that allows for...

What You'll LearnThe origins of integrated parcel shipping systems and Clippership's impact (1991)Why traditional carrier APIs limit cost optimization and how Sendflex's engine solves thisThe critical gap between expected shipping costs and actual carrier invoices (north of 15%)How a multi-carrier strategy is essential for modern fulfillment, especially PO box and regional delivery- The rising complexity of omnichannel distribution and its impact on 3PL operations- Lessons from enterprise acquisition failures and maintaining agile, mission-driven growth- How data-driven carrier diversification can unlock real savings versus sales pitchesTimestamped Segments00:00–00:50 – Introduction to Bob Malley and his legacy in parcel logistics00:50–04:39 – Bob's early career and development of Clippership & Tracer04:39–07:24 – The evolving parcel market, rise of multi-carrier shipping, complexities of e-commerce07:24–10:57 – The critical issue of landing cost variance versus expected shipping costs10:57–15:02 – Operationalizing auditing and cost variance fixes through automation15:02–20:04 – Carrier perspectives on load optimization, dimensional weight, and waste20:04–23:30 – Insights on carrier integration and the promise of new, niche carriers23:30–27:33 – B2B ecommerce growth, omnichannel maturity, and the rise of 3PL dynamics27:33–31:17 – Hard lessons on acquisitions and maintaining agility in logistics tech companies31:17–33:06 – Closing thoughts and where to learn more about Sendflex Quotes[10:13] "The cost variance between expected costs and actual costs is north of 15%.” — Bob Malley[06:13] “The real question is: how do shippers narrow the gap that's been growing between expected costs all through that journey of the order...” — Bob Malley[30:44] “I believe in companies that have a mission, are small enough to be agile, and stick to what they do well.” — Bob Malley[21:52] “That's what we're really excited about — data-backed carrier diversification that makes business sense, not just sales sense.” — Bob MalleyAbout the GuestBob Malley is a pioneer in parcel logistics technology with a track record spanning over three decades. He launched Clippership, the first integrated parcel shipping system, scaled Tracer, led e-commerce at Kewill as CEO, and founded Pierbridge, creating the first enterprise cloud-based parcel TMS. Today, as CEO of Sendflex, he is driving innovation in intelligent modular delivery software built for omnichannel complexity and global shipping optimization.Links MentionedSendflex websiteSendflex LinkedIn Subscribe and Keep Learning!If you're a logistics leader looking to scale sustainably, don't miss out! Subscribe for more expert strategies on tackling modern supply chain challenges.Be sure to follow and tag the eCom Logistics Podcast on LinkedIn and YouTube

Aviatrix survey reveals only 8% of enterprises have effective Zero Trust — and why network security needs to catch up “Without all three legs, you don't have a stool — therefore, you don't really have Zero Trust.” — Doug Merritt, CEO, Aviatrix In a revealing interview with Technology Reseller News, Aviatrix CEO Doug Merritt joins publisher Doug Green to spotlight the cloud security gap most enterprises don't yet realize they have — and what Aviatrix is doing to solve it. Drawing on a just-released survey of 403 U.S. IT professionals, Merritt paints a sobering picture: only 8% of respondents believe they have an effective Zero Trust security stance in the cloud. While identity and endpoint protections have advanced, the third critical leg — network security — is largely missing. That gap, says Merritt, is what Aviatrix is closing with its Cloud Native Security Fabric (CNSF). Founded by a pioneering female Cisco engineer, Aviatrix brings deep roots in software-defined networking and cloud infrastructure. Today, the company is evolving into a cloud security leader by embedding inline network protection that adapts to cloud-native realities: atomized perimeters, ephemeral workloads, and increasingly complex DevOps pipelines. “The internet is now the enterprise network,” Merritt explains. “Your perimeter isn't five data centers — it's tens of thousands of ephemeral endpoints, APIs, and SaaS services.” Key insights from the podcast include: Why CNSF matters: CNSF forms the third leg of a Zero Trust framework alongside identity and endpoint security — bringing visibility, enforcement, and micro/macrosegmentation into cloud network traffic. Alarming survey findings: 2 out of 3 enterprises struggle with deploying cloud firewalls, over 50% cite visibility blind spots, and 85% report difficulties securing DevOps pipelines. Cloud threats on the rise: The shift to agentic AI and increasingly automated cyber threats make it essential to monitor east-west and egress traffic within the cloud — stopping lateral movement and command-and-control attacks before they spread. Channel opportunity: Aviatrix offers a partner-friendly CNSF solution that complements existing tools like CrowdStrike, Zscaler, Wiz, and cloud-native firewalls — with modular deployment, flexible integration, and a well-designed partner program. For organizations seeking to close their cloud network security blind spots, Aviatrix provides a free Network Security Blind Spot Assessment. And for those wanting to dig deeper, the full survey is available at aviatrix.com/resources. Learn more: https://aviatrix.com

Intermedia's Brian Gregory on portfolios, Teams integration, and AI that partners can actually resell “We're not just selling AI—we're giving service providers real products they can sell under their own brand.” — Brian Gregory, Director of Product Marketing, Intermedia As cloud communications enters a new chapter shaped by Microsoft Teams, agentic AI, and rising customer expectations, Intermedia is helping service providers rethink and rebuild their portfolios from the ground up. In this episode of Technology Reseller News, Brian Gregory, Director of Product Marketing at Intermedia, joins Doug Green to explore how service providers can capitalize on their home-field advantage—strong customer relationships, existing network services, and trusted brands—by delivering white-labeled UCaaS, CCaaS, and integrated Teams solutions with Intermedia. Key Takeaways: White Label Everything Intermedia's business is 92% channel-driven, enabling providers to fully brand and resell its unified communications, contact center, and Microsoft 365 offerings—keeping customer ownership and brand equity intact. Monetizing Microsoft Teams With Microsoft Teams commanding nearly 50% of the collaboration market, Intermedia's Teams-integrated telephony solution (launched August 2024) gives providers a clear path to offer high-margin, full-featured phone and contact center services—all within the Teams interface. AI You Can Sell Intermedia integrates real-world AI functions—like meeting summarization, sentiment analysis, real-time assist, and CRM integrations—into its UCaaS and CCaaS platforms. These features are practical, deployable today, and tailored for mid-market customers and partners. Service Provider-Ready No minimums. No upfront hurdles. Just a success-based model designed to align with provider needs. Vertical integrations (like recent auto dealer CRM tie-ins) and robust APIs help expand revenue streams across industries. Intermedia's Formula for Service Provider Growth: ✅ Strong economics and white-label branding ✅ Integrated Teams calling and contact center ✅ AI-powered productivity tools (resellable today) ✅ Flexible contracts with no minimums ✅ Vertical solutions + CRM/API support To learn more about Intermedia's full service provider offering, visit: www.intermedia.com.

In this episode of the Broadband Bunch, recorded live at Fiber Connect 2025 in Nashville, host Brad Hine welcomes Stephen Farnsworth, Chief Revenue Officer at gaiia. Stephen shares gaiia's compelling origin story—how it evolved from the in-house OSS/BSS platform of Canada's fastest-growing ISP, OXIO, into one of the most talked-about disruptors in the U.S. broadband market. The conversation explores how gaiia is redefining the way ISPs manage their operations, emphasizing simplicity, flexibility, and intuitive design. Stephen discusses the importance of adapting technology to fit an ISP's existing workflows, rather than forcing change through rigid systems. He explains how gaiia's cloud-based platform, native APIs, and workflow engine empower ISPs to streamline subscriber onboarding, automate field service, and deliver a seamless customer experience. Throughout the conversation, Stephen reflects on the challenges legacy platforms pose, the accelerating demand for modern solutions, and how gaiia is positioned to help ISPs transform their business. Whether it's supporting fixed wireless providers, fiber-funded startups, or multi-tenant rollups, gaiia is focused on delivering practical innovation and driving industry-wide change.

OpenAI has launched Agent Mode, a major upgrade to ChatGPT that enables it to take real-world actions like browsing, coding, using APIs, and handling complex tasks on its own virtual computer, with safeguards against prompt injection, data leaks, and risky actions.Featured Guest: Ben Narasin, founder & general partner, Tenacity VC

OpenAI officially launches the ChatGPT "Agent," a new feature allowing users to delegate complex digital tasks directly to AI, enabling autonomous online actions and decision-making.Users can assign Agent tasks like travel planning, event bookings, detailed research, and personal schedule management, all without needing continuous interaction beyond the initial command.ChatGPT Agent learns and adapts to individual preferences over time by analyzing previous user choices, creating a more personalized and efficient experience.Integration with external services via APIs allows the Agent to seamlessly navigate multiple platforms, automatically completing bookings, research, or other digital tasks independently.OpenAI has secured key partnerships with travel platforms, booking services, financial tools, and productivity apps to streamline these integrations and enhance usability.Security and data privacy have become priority focuses, with OpenAI employing encryption and implementing clear data-usage policies and protective guidelines for sensitive personal information.Built-in protective measures include preset limits to prevent unauthorized high-risk actions or financial transactions without explicit user verification and oversight.Early user experiences with the ChatGPT Agent will critically influence public adoption and trust in AI-based autonomy; initial successes will likely expand future reliance and adoption.Competitors, including Google's Gemini Assistant and Meta's autonomous AI tools, are launching similar automated agent services, intensifying pressure on OpenAI to deliver superior performance and privacy protections.Analysts caution that long-term success requires consistent reliability, accuracy in task execution, and user confidence in AI decisions, aspects OpenAI pledges to address through regular updates and performance improvements.OpenAI's release of ChatGPT Agent marks an important advancement toward practical, widely accessible autonomous AI tools intended for daily user productivity.Listen to this episode for a detailed exploration of OpenAI's new ChatGPT Agent, how it functions, and what it means for AI-driven task automation.

Recorded live at the reect SAP for Treasury and Working Capital Management Conference in Rome, Eleanor Hill (TMI) chats with Luke Carlson (Carlson Cash) about how treasury teams are embracing real-time tools and smarter tech.  From the evolution of bank connectivity to the rise of APIs, AI, and in-house banking, this candid conversation unpacks what's driving real change. Listen today to gain actionable insights on optimising liquidity, managing risk, and staying agile in today's volatile interest rate and geopolitical landscape.

This week on the Omni Talk Retail Fast Five podcast, sponsored by the A&M Consumer and Retail Group, Simbe, Mirakl, and Ocampo Capital, we examine Shopify's proactive stance on AI agent regulation. Shopify is drawing boundaries around agentic AI with new language in merchant websites' robots.txt files, stating "scraping, buy from me agents, or any end-to-end flow that completes payment without a final review step is not permitted." The move shows Shopify thinking ahead to protect its ecosystem while directing legitimate integrators to use official APIs.

Send us a textSecurity vulnerabilities lurk in the most unexpected places – even in your home internet modem. Today we kick off with breaking news about a security flaw discovered in Cox modems that could potentially allow unauthorized access to run malicious commands on connected devices. While Cox reports fixing the issue within 24 hours, this real-world example perfectly illustrates a critical concept we explore further: how exposed APIs often become significant data exfiltration points because organizations fail to track and manage their connections properly.Diving into our CISSP Question Thursday, we tackle fifteen practice questions specifically targeting Domain 3.1.2 and 3.1.3 concepts. These questions explore fundamental security principles including encryption standards (why AES-256 trumps proprietary algorithms), access controls (how custom APIs demonstrate both abstraction and access restriction), and defense in depth strategies (protecting data across multiple states). Each question builds practical understanding of how these principles apply in real-world scenarios – from secure boot configurations that hide complexity from users to the dangers of storing all encryption keys on a single, inadequately protected server.The beauty of these practice questions lies in their practical applications. We examine how stenography conceals data within other files, how security defaults strengthen systems through pre-configuration, and how patching vulnerabilities relates to maintaining secure environments (while acknowledging that patches themselves can sometimes introduce new issues). Whether you're actively preparing for the CISSP exam or simply looking to strengthen your cybersecurity knowledge, these practice scenarios provide valuable training in identifying and addressing common security challenges. Visit cisspcybertraining.com to access this episode's questions and many more resources to support your cybersecurity journey.Gain exclusive access to 360 FREE CISSP Practice Questions delivered directly to your inbox! Sign up at FreeCISSPQuestions.com and receive 30 expertly crafted practice questions every 15 days for the next 6 months—completely free! Don't miss this valuable opportunity to strengthen your CISSP exam preparation and boost your chances of certification success. Join now and start your journey toward CISSP mastery today!

Recebemos o Daniel Romeiro — mais conhecido como Infoslack — para mergulhar de cabeça no universo em ebulição de Inteligência Artificial, DevOps e Machine Learning. Neste episódio, exploramos como filtrar o ruído do hype com uma abordagem de filtro reverso e discutimos os bastidores do deploy de modelos de Machine Learning em produção.Trocamos experiências sobre observabilidade avançada em pipelines de IA e compartilhamos insights sobre como acumular habilidades DevOps ao longo da carreira, sem jamais perder o pé no chão. Entre uma piada e outra, analisamos também o impacto dos testes A/B em tempo real e a complexidade de gerenciar artefatos de IA em escala.Por fim, refletimos sobre as perspectivas futuras: qual será o próximo grande passo para SREs que querem continuar relevantes em um cenário dominado por IA generativa? Nós conversamos sobre como arquiteturas mal planejadas podem se tornar gargalos de latência e apresentamos estratégias para garantir alta disponibilidade mesmo quando as APIs externas decidem ficar fora do ar.Links Importantes:- Daniel Romeiro - https://www.linkedin.com/in/infoslack/- João Brito - https://www.linkedin.com/in/juniorjbn- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflMParticipe de nosso programa de acesso antecipado e tenha um ambiente mais seguro em instantes!https://getup.io/zerocveO Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

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

In this episode, Kwindla Kramer, co-founder and CEO of Daily and creator of the open source Pipecat framework, joins us to discuss the architecture and challenges of building real-time, production-ready conversational voice AI. Kwin breaks down the full stack for voice agents—from the models and APIs to the critical orchestration layer that manages the complexities of multi-turn conversations. We explore why many production systems favor a modular, multi-model approach over the end-to-end models demonstrated by large AI labs, and how this impacts everything from latency and cost to observability and evaluation. Kwin also digs into the core challenges of interruption handling, turn-taking, and creating truly natural conversational dynamics, and how to overcome them. We discuss use cases, thoughts on where the technology is headed, the move toward hybrid edge-cloud pipelines, and the exciting future of real-time video avatars, and much more. The complete show notes for this episode can be found at https://twimlai.com/go/739.

Ep. 172 features Richard Acosta from Vor Interactive, a UK-based sports data provider creating proprietary first-party data and predictive models.    Hear him discuss: How a soccer algorithm built by his co-founder sparked Vor's launch and first predictive model Why their proprietary data now generates 2,000+ prediction points per soccer match across 50+ global leagues How they've expanded from soccer into NFL, college sports, cricket, and tennis while focusing on first-party data Why they chose a B2B model delivering data products to affiliates and operators instead of professional betting How their predictive data powers both marketing widgets and pricing models for iGaming companies How Vor designed a simple integration process that lets partners go live in under 48 hours The early traction they've seen with Odds Shark in the US and Hub Affiliations in Italy, including strong early conversion rates Why Richard believes staying lean and agile is key as they scale globally and expand their APIs and productized solutions His long-term vision to grow Vor Interactive into a major global sports data supplier over the next five years   Applications now open for SBC Summit First Pitch competition returning to Lisbon this September 16-18. Eligible startups can submit their applications until July 25 for a shot at over $100,000 worth of prizes.    Catch the video version of this episode here.   Learn more

In this discussion, Cristina Flaschen, CEO of Pandium, speaks with Heather Flanagan, Principal at Spherical Cow Consulting, and Shon Urbas, CTO of Pandium, about the complex realities of building integrations when identity, compliance, and data governance are on the line.Heather's Background and Identity-Centric LensHeather Flanagan draws on years of experience in identity standards, advising governments, nonprofits, and tech companies on secure identity flows. At Spherical Cow Consulting, she emphasizes that integrations are not just about API connections. They must preserve identity and policy context across systems. This lens shapes how she evaluates long-term integration quality.Identity is the DataIn many cases, identity itself is the data being transferred. Systems are not just passing files. They are transmitting roles, permissions, and group memberships. A failure in handling identity correctly can result in unauthorized access or users being locked out. This is especially critical in sectors like government and education.The Hidden Work Behind “It Just Works”Heather and Shon note that behind every seamless integration is complex logic. Connecting identity systems like SCIM, SAML, and OpenID Connect requires shared understanding across platforms. A major challenge is the assumption that systems interpret identity attributes the same way.Integration as InfrastructureShon sees integrations as core infrastructure, not just product features. At Pandium, his team treats them as reusable, composable flows. Even with modern tools, reliable integrations depend on clear contracts around data formats, identity handling, and error recovery.MCP: Open Source, Not a StandardHeather and Shon discuss the growing hype around MCP, the Model Context Protocol, often mislabeled as a standard. Heather explains that MCP is an open source project from Anthropic, not a true standard, since it lacks formal security reviews, governance, and cross-industry consensus. Shon notes that while it may help drive adoption of existing protocols like OAuth 2, it adds little technical innovation and risks moving too fast without proper safeguards.When Identity Meets GovernanceHeather stresses that integration design must align with governance requirements. In regulated environments, even passing a field like email may require approval. Developers must understand what data can be shared and what must stay controlled.Building Trust Into the StackTrust requires more than encryption. It depends on visibility into what moved, when, and why. Heather advocates for logging and traceability as essential for debugging and for building confidence in identity-driven systems.For more insights on integrations, identity, and APIs, visit www.pandium.com.Read Heather's blog: https://sphericalcowconsulting.com/Heather's book recommendation: Clockspeed: Winning Industry Control in the Age of Temporary Advantage

Listen now: Spotify, Apple and YouTubeWhat if you had a personalized AI toolkit—not just a chatbot—that actually remembered your projects, your workflows, and even your family's preferences?In this episode, Marc and Ben sit down with Mike Bal, a product leader experimenting at the frontier of AI tooling. Mike shares how he built a local memory system for Claude using Model Context Protocols (MCPs), enabling persistent knowledge graphs that connect everything from his product designs to his family's vacation plans. They walk through how it works—step-by-step—including a live demo of Fleur (essentially a mini app marketplace to make it easy for non technical people to add MCPs to Claude), how Mike structures entities and relationships, and why this setup beats traditional RAG approaches for real-world usage.If you've ever wanted your AI to truly understand you and the work you do—or you're curious how a product leader uses AI to streamline everything from design reviews to family logistics—this episode is packed with real-world inspiration and actionable examples.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Send us a textThe medieval castle with its moat, high walls, and sentries provides the perfect metaphor for modern cybersecurity. Just as each defensive element served a specific purpose in protecting the castle, today's information security requires multiple layers working in concert to safeguard digital assets.Shon Gerber opens this episode with a timely discussion of the UnitedHealthcare ransomware attack, which reportedly cost $22 million and sparked controversy around the CISO's qualifications. This real-world example perfectly frames the importance of defense in depth strategies that could have prevented such a catastrophic breach.The core of defense in depth involves implementing multiple security controls that protect various aspects of information systems. Shon walks through each layer, starting with perimeter security (firewalls, IDS/IPS systems), moving to access controls and data security (encryption, DLP), and continuing through system hardening and detection mechanisms. Each layer serves two crucial purposes: stopping attackers altogether or, at minimum, slowing them down enough that they move on to easier targets.Particularly enlightening is Shon's breakdown of abstraction in security - how operating systems, networking protocols, databases, and APIs hide complexity from users while maintaining protection. This concept extends to data hiding techniques like steganography, tokenization, and encryption that conceal sensitive information from prying eyes.The episode concludes with an examination of secure defaults - the principle that systems should ship with security enabled rather than requiring manual configuration. Shon provides practical guidance on implementing secure defaults and overcoming common challenges like vendor limitations and legacy systems.Whether you're studying for the CISSP exam or looking to strengthen your organization's security posture, this episode delivers actionable insights on building robust, multi-layered defense strategies that balance protection with usability. Visit CISSP Cyber Training for additional resources, including practice questions and comprehensive study materials.Gain exclusive access to 360 FREE CISSP Practice Questions delivered directly to your inbox! Sign up at FreeCISSPQuestions.com and receive 30 expertly crafted practice questions every 15 days for the next 6 months—completely free! Don't miss this valuable opportunity to strengthen your CISSP exam preparation and boost your chances of certification success. Join now and start your journey toward CISSP mastery today!

Subscriber-Only: Today's episode is available only to subscribers. If you are a Point-Free subscriber you can access your private podcast feed by visiting https://www.pointfree.co/account. --- We build a bunch of triggers in a schema-safe, type-safe way using APIs from the StructuredQueries library, including a callback that ensures the Reminders app always has at least one list, and a callback that helps us support drag–drop positional ordering of lists.

Babak Hodjat, CTO for AI at Cognizant and a pioneer behind the technology that became Siri, joins us to discuss the new era of agentic AI. We dig into his early days building natural language systems, the evolution of multi-agent architectures, and how language interfaces are shaping the future of human-AI collaboration. We also discuss the safeguards needed to ensure trust in autonomous systems, the challenge of AI's black box, and the emerging standards for interoperability. Subscribe to the YouTube channel! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@aiinsideshow⁠⁠⁠⁠⁠ Enjoying the AI Inside podcast? Please rate us ⭐⭐⭐⭐⭐ in your podcatcher of choice! Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 00:00⁠ - Podcast begins01:45⁠ - Introducing Babak Hodjat and his journey from Dejima to Siri02:47⁠ - The origins of agent-based AI and early natural language systems06:21⁠ - Language as the ultimate interface: strengths and limitations09:35⁠ - How modern AI capabilities could have changed early voice agents13:08 - Agentic systems versus traditional APIs in enterprise tech16:10⁠ - How Cognizant builds and deploys agent-based AI for clients18:18 - The need for interoperability and emerging agent standards20:49 - Do agents develop their own languages? Internal communication in LLMs23:01⁠ - Multilingual models, cultural context, and emotional abstraction26:49⁠ - Can AI truly understand meaning? Perspectives on abstraction27:50 - Safeguards, kill switches, and trust in agentic automation32:05 - Marketing, influence, and negotiation in an agent-driven world35:07⁠ - The risks of over-trusting black box AI systems36:47⁠ - The evolution of AI: what's truly new versus what's rediscovered39:26 - Thank you to Babak Hodjat for joining the AI Inside podcast Learn more about your ad choices. Visit megaphone.fm/adchoices

Speak (https://speak.com) may not be very well known to native English speakers, but they have come from a slow start in 2016 to emerge as one of the favorite partners of OpenAI, with their Startup Fund leading and joining their Series B and C as one of the new AI-native unicorns, noting that “Speak has the potential to revolutionize not just language learning, but education broadly”. Today we speak with Speak's CTO, Andrew Hsu, on the journey of building the “3rd generation” of language learning software (with Rosetta Stone being Gen 1, and Duolingo being Gen 2). Speak's premise is that speech and language models can now do what was previously only possible with human tutors—provide fluent, responsive, and adaptive instruction—and this belief has shaped its product and company strategy since its early days. https://www.linkedin.com/in/adhsu/ https://speak.com One of the most interesting strategic decisions discussed in the episode is Speak's early focus on South Korea. While counterintuitive for a San Francisco-based startup, the decision was influenced by a combination of market opportunity and founder proximity via a Korean first employee. South Korea's intense demand for English fluency and a highly competitive education market made it a proving ground for a deeply AI-native product. By succeeding in a market saturated with human-based education solutions, Speak validated its model and built strong product-market fit before expanding to other Asian markets and eventually, globally. The arrival of Whisper and GPT-based LLMs in 2022 marked a turning point for Speak. Suddenly, capabilities that were once theoretical—real-time feedback, semantic understanding, conversational memory—became technically feasible. Speak didn't pivot, but rather evolved into its second phase: from a supplemental practice tool to a full-featured language tutor. This transition required significant engineering work, including building custom ASR models, managing latency, and integrating real-time APIs for interactive lessons. It also unlocked the possibility of developing voice-first, immersive roleplay experiences and a roadmap to real-time conversational fluency. To scale globally and support many languages, Speak is investing heavily in AI-generated curriculum and content. Instead of manually scripting all lessons, they are building agents and pipelines that can scaffold curriculum, generate lesson content, and adapt pedagogically to the learner. This ties into one of Speak's most ambitious goals: creating a knowledge graph that captures what a learner knows and can do in a target language, and then adapting the course path accordingly. This level-adjusting tutor model aims to personalize learning at scale and could eventually be applied beyond language learning to any educational domain. Finally, the conversation touches on the broader implications of AI-powered education and the slow real-world adoption of transformative AI technologies. Despite the capabilities of GPT-4 and others, most people's daily lives haven't changed dramatically. Speak sees itself as part of the generation of startups that will translate AI's raw power into tangible consumer value. The company is also a testament to long-term conviction—founded in 2016, it weathered years of slow growth before AI caught up to its vision. Now, with over $50M ARR, a growing B2B arm, and plans to expand across languages and learning domains, Speak represents what AI-native education could look like in the next decade. Chapters 00:00:00 Introductions & Thiel Fellowship Origins 00:02:13 Genesis of Speak: Early Vision & Market Focus 00:03:44 Building the Product: Iterations and Lessons Learned 00:10:59 AI's Role in Language Learning 00:13:49 Scaling Globally & B2B Expansion 00:16:30 Why Korea? Localizing for Success 00:19:08 Content Creation, The Speak Method, and Engineering Culture 00:23:31 The Impact of Whisper and LLM Advances 00:29:08 AI-Generated Content & Measuring Fluency 00:35:30 Personalization, Dialects, and Pronunciation 00:39:38 Immersive Learning, Multimodality, and Real-Time Voice 00:50:02 Engineering Challenges & Company Culture 00:53:20 Beyond Languages: B2B, Knowledge Graphs, and Broader Learning 00:57:32 Fun Stories, Lessons, and Reflections 01:02:03 Final Thoughts: The Future of AI Learning & Slow Takeoff

In this episode of Hanselminutes, Scott Hanselman chats with Roderick Rabah, Head of Product at Postman Flows, about the evolution of software development, the intersection of APIs and AI, and finding the "right layer of abstraction" for problem-solving. Drawing on his deep expertise in compiler optimization, distributed systems, and serverless computing, Rabah shares his perspectives on building tools that empower developers to create efficiently and explores the paradigm shift toward visual programming and AI-driven automation.The conversation dives into how Postman is innovating in the software space, how approaches to software engineering are transforming with generative AI, and why embracing new ways of working is critical for staying ahead in this rapidly evolving technological landscape.  Key Topics[01:08] Introduction of Roderick Rabah: From research scientist to API innovator[02:14] Evolution of software development: From FPGAs to serverless computing[03:23] APIs and AI: The transformative intersection powering workflows[05:33] The rise of tool-calling and agents: Simplifying backend tasks[07:33] Managing complexity: Why structured APIs make integration seamless[12:08] Visual programming languages: The paradigm shift for developers[16:42] Postman Flows: Building applications through visual workflows[20:24] Embracing generative AI: How senior and junior engineers benefit[29:02] Deploying with WebAssembly: Making cloud integration accessible[30:33] Reflections on the future of technology and its impact on software careersMain TakeawaysAPI + AI Integration: APIs combined with large language models are unlocking new capabilities for software development by abstracting complex operations and enabling automation.Visual Programming Paradigm Shift: Applications are increasingly built using visual workflows where developers focus on intent rather than low-level code implementation, driving efficiency and accessibility.Generative AI Empowerment: Generative AI tools are accelerating the pace of innovation, empowering engineers to fix bugs, streamline workflows, and manage edge cases efficiently.Structured APIs Critical for AI: Thoughtfully designed APIs with proper documentation and safeguards are essential to ensure that autonomous AI agents interact correctly and securely.Accessible Deployment: New runtime frameworks, like serverless with WebAssembly, make it easier for developers to deploy applications across the cloud, enabling broader adoption of AI-driven solutions.Notable Quotes"Serverless is where you think about servers less." – Scott Hanselman"At what point does communicating your intent to AI become programming again?" – Roderick Rabah"Visual programming resonates with builders because it matches the mental model of decomposing problems." – Roderick Rabah"Technology transforms rapidly. You have to figure out how to wield this immense power." – Roderick Rabah"Don't throw away your critical thinking just because AI makes building faster." – Roderick RabahResources MentionedPostman Flows – Tools for visual programming and API integrations: postman.comReplit – Generative coding platform for automating development tasks: replit.comWebAssembly – Runtime framework for deploying serverless applications: webassembly.orgBooks on Compiler Theory: Suggested resource for expanding understanding of abstractionsFollow along for more insights, tips, and conversations with industry leaders. These show notes summarize key moments in the podcast for easy reference and understanding - these show notes were generated by a custom gpt-4o-nano model trained in previous episodes of Hanselminutes

On this episode of Metrology Today, we go global with Sandeep Nair, founder and CEO of Metquay, whose software is helping commercial calibration labs around the world break out of the Excel rut. Sandeep's story is unlike any other: He started as a computer scientist in India, found his way into calibration by chance, and wound up building a platform that empowers labs to create their own uncertainty calculations, templates, and workflows—no “black box” required. Sandeep shares: His journey from services in India to running a tech company for metrology labs across Asia, Australia, the Middle East, and the U.S. Why most labs are still stuck in spreadsheets—and what it takes to break free How true software customization is changing the calibration business model The importance of data sharing, open APIs, and industry collaboration (and why holding your data too tightly might actually be a red flag!) How AI and modern software can help labs with quality, documentation, and even workforce training in a rapidly changing industry His vision for Metquay's unified measurement platform and what's coming next If you care about the intersection of technology, quality, and business—or just want a fresh perspective on the calibration world—this conversation will get you thinking. Listen now and connect with Sandeep on LinkedIn or at metquay.com.

In this special bonus episode brought to you in partnership with Mastercard, Suneera Madhani explores one of the biggest opportunities in fintech today: open banking. If you're a fintech founder building tools for small businesses, this episode is packed with insights to help you create more impactful, data-driven solutions. With over 33 million SMBs in the U.S. powering nearly half the workforce, the demand for modern financial tools is only growing. Inside the episode: The real reason small businesses struggle with cash flow—and how fintech can help A breakdown of what open banking is and why it matters right now Five powerful ways to leverage open banking APIs—from payments and lending to fraud prevention and financial visibility How to get started: choosing the right partners, using AI for better insights, and staying up-to-date on compliance needs This conversation is especially for founders building the next generation of fintech products that support small business success. This episode is sponsored by Mastercard. #MastercardAmbassador Learn more about your ad choices. Visit podcastchoices.com/adchoices

Episode Title: Market Resilience, Counterfeit Realities, and the Future of Authentication with Perry Nguyen of Check Check Show Notes: In this episode, I'm joined by Perry Nguyen with Check Check, a cutting-edge digital authentication platform reshaping the luxury resale landscape. Our conversation explores the parallels between nature's most resilient species and the dynamic, ever-evolving global marketplace, particularly the explosive growth of luxury resale and the counterfeit economy. Perry shares how Check Check leverages a global team of expert authenticators to verify high-value goods, including sneakers, designer items, and collectibles. With the rise of “super fakes” and consumer trust hanging in the balance, Perry explains why real-time, mobile-first authentication is no longer a luxury—it's a necessity. We dig into Perry's fascinating career journey—from scaling a cannabis startup from zero to $11M in sales, to lobbying Congress (cowboy hat and all) in support of a groundbreaking antifungal vaccine for animals. His background in the music industry also adds a creative twist to his leadership style, which I found incredibly relatable. Perry also opens up about joining Check Check just 12 months ago and partnering with co-founders Arnold Luck and Eddie Abramov to scale their sneaker authentication platform into a robust enterprise solution. With over 3.3 million app downloads and 2.2 million items authenticated, they're redefining trust in the secondary market. We wrap the conversation with a look at global expansion—including a powerful new partnership with India's Culture Kicks—and discuss how APIs and mobile tech are driving the next phase of authentication for streetwear and luxury resale. I even encouraged my brother to download the app—because if you're going to invest in high-value items, you need to make sure they're the real deal. And yes, I even share a story about tracking down an elusive 90s rock vocalist named Kurt, plus what my cousin's DIY guitar pedal business taught me about creative frustration, innovation, and self-determination in leadership.

#306: In this episode of DevOps Paradox, we delve into the role of GraphQL in modern APIs with guest Sophia Willows from Rye. They discuss the pros and cons of using GraphQL versus REST and gRPC, highlighting the efficiencies and complexities each brings to API development, especially in developer tools. They tackle common misconceptions and usage pitfalls of GraphQL, offering valuable insights into its optimal application. Sophia explains the rationale behind Rye's choice of GraphQL for public-facing APIs while opting for REST and gRPC for internal microservices, reflecting on the trade-offs between performance and flexibility. The episode also touches on the evolution of API standards and speculations on potential future innovations.   Sophia's contact information: LinkedIn: https://www.linkedin.com/in/sophia-willows/   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

How does a PowerApp become a fully-fledged software application? Richard chats with Luise Freese about her experience of taking a PowerApp built by an individual through the "onboarding process" of becoming a complete software application, including requirements, tests, deployment pipeline, security, user training, and more. It's easy to create a prototype of an application with PowerApps, but once you move beyond the basics, there's a significant amount of work that's essential to the long-term health of the app. Luise discusses how often PowerApps utilizes "free" data sources, such as SharePoint lists, rather than the underlying datasets that require a license. This hinders performance and reliability; it's better to work with the right APIs and data sources. It's also an accomplishment, as what started as an individual's automation is now a part of the suite of applications that a company depends on!LinksPower Apps and Power AutomateLuise's Blog PostMicrosoft Power Platform Center of Excellence Starter KitEntra ID for Power AppsRecorded June 27, 2025

APIs are products but they don't always get the same focus they deserve to be successful.In this episode of the Product for Product Podcast, we sit down with Deepa Goyal, Product Strategy Leader at Postman and author of API Analytics for Product Managers: Understand key API metrics that can help you grow your business, to explore what it takes to manage APIs as products.Deepa shares her journey from PayPal and Twilio to her current role at Postman, and discusses the rise of the API Product Manager and how APIs are shaping modern organizations.We explore why Deepa wrote her book, who it's for, and what product managers—whether or not they work directly with APIs—can learn from it. Deepa explains how analytics are critical for measuring API success, the unique challenges of building API products, and why developers are often the primary customers. In addition, she shares insights from her research for the book and the writing process, including how she validated her ideas and what she learned about the API lifecycle, onboarding, and product-market fit. Join Matt and Moshe as they explore with Deepa:The rise of the API Product Manager and how APIs are transforming businessesDifferent types of APIs—internal, external, and partner—and their strategic impactWhy analytics are essential for measuring API product successUnique challenges of building API products Insights from writing and validating her book, API Analytics for PMsThe impact of AI on product management and the future of APIsStrategies for API pricing and revenue modelsKey metrics and leading indicators for API adoption and activationAdvice for product managers looking to build technical skills and drive impactAnd much moreYou can connect with Deepa at:LinkedIn: https://www.linkedin.com/in/deepag/ X: @1sprintatatimeAPI Analytics for Product Managers book: https://www.amazon.com/API-Analytics-Product-Managers-Understand/dp/1803247657 You can find the podcast's page, and connect with Matt and Moshe on Linkedin:     -  Product for Product Podcast - linkedin.com/company/product-for-product-podcast    Matt Green - linkedin.com/in/mattgreenproduct/Moshe Mikanovsky - linkedin.com/in/mikanovsky/Note: any views mentioned in the podcast are the sole views of our hosts and guests,  and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

In episode 79 of Venture Everywhere, Jenny Fielding talks with Jason Saltzman, founder and CEO of Relief — a mission-driven fintech company transforming how Americans navigate consumer debt. Jason shares Relief's origin story, sparked by a deep frustration with predatory industry practices and a desire to build accessible, tech-driven alternatives. Jason also discusses how Relief automates debt settlement through a mobile-first platform, making it faster, cheaper, and less intimidating for users to resolve what they owe.In this episode, you will hear:The pitfalls of traditional debt relief and how Relief provides a smarter, fairer solutionAutomating debt settlements via the app, helping users save around 50% on delinquent accountsHow AI and APIs are tailoring solutions to individual financial needsOffering in-app tools for student loan refinancing and debt consolidationChallenging stigmas around debt by normalizing financial struggles and promoting transparencyLearn more about Jason Saltzman | ReliefLinkedIn: https://www.linkedin.com/in/jasonsaltzman Website: https://www.relief.app Learn more about Jenny Fielding | Everywhere VCLinkedin: https://www.linkedin.com/in/jennyfielding Website: https://everywhere.vc/

Two-time Emmy and three-time NAACP Image Award-winning television Executive Producer Rushion McDonald interviewed Suli Salaam. The founder of Paint Your Heaven, on Money Making Conversations Masterclass. Here’s a breakdown of the key topics, highlights, and an about section: Key Themes & Highlights Origins of Paint Your Heaven Salaam explains the inspiration behind the company name, emphasizing the power of vision and positive thinking. He shares how the phrase Paint Your Heaven motivated him at 22 years old to pursue entrepreneurship. Full-Stack Development Expertise Salaam discusses his skills as a full-stack developer, differentiating his work from basic web design. He explains the importance of front-end and back-end development, particularly in creating complex applications like Uber. Challenges & Representation in Tech He highlights the lack of Black full-stack developers and attributes it to self-belief and limited exposure. He shares his personal journey growing up in a challenging neighborhood and how his mother and a supportive teacher encouraged him. AI & Software Innovation Salaam discusses his company’s use of AI and APIs to enhance software development. He reveals a project aimed at simplifying audio production, allowing users to clean up sound with one-click technology. Entrepreneurial Advice & Community Impact He encourages young people to embrace change and pursue careers in programming and AI. His company aims to serve businesses worldwide while also promoting positive thinking in inner-city communities. About Suli Salaam & Paint Your Heaven Suli Salaam is a full-stack developer and entrepreneur based in Kansas City. His company, Paint Your Heaven, specializes in web, app, and software design and development. The company combines technical expertise with creative design, making it a valuable resource for businesses looking to scale. Beyond business, Salaam is passionate about mentoring young people, promoting positive thinking, and helping communities embrace technology. #BEST #STRAW #SHMS Steve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Wanna hear a lil secret?You (likely) have no clue what custom GPTs are capable of inside of ChatGPT. OpenAI just updated their capabilities, yet no one's talking about it. Why? The original hype and hoopla from their late 2023 launched fizzled and faded away, and now many AI users have written GPTs off. Big mistake. You won't believe what the newly upgraded GPTs are capable of.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Custom GPTs Launch & Initial ReceptionUpdated OpenAI Custom GPT CapabilitiesExpanded Model Support for Custom GPTsBusiness Applications of Custom GPT UpdatesLive Demo of New Custom GPT FeaturesInsight Synthesizer GPT's Unique AbilitiesMeeting Actionizer GPT for Business EfficiencyPersonalizing with the Updated GPT ModelsTimestamps:00:00 "Upgraded Custom GPTs Revolution"04:52 GPT Building: Web Access Only06:46 "Podcast Rambling Concerns"09:56 Benefits of Using Custom GPTs13:18 Using Custom GPTs and GPT Store17:16 Simple AI Tool Usage Guide21:32 Custom ChatGPT Limitations Explained25:17 Exploring AI's Efficiency in Tasks27:06 "AI Impact Dashboard for 2025"32:03 GPT-4 vs. GPT-3: Agentic Abilities35:33 Reasoning Models Enhance Meeting Analysis36:53 AI Meeting Summary Features40:40 Personalized NVIDIA Stock Insights42:38 GPT Custom Models: New DevelopmentsKeywords:Custom GPTs, OpenAI updates, Expanded model support, No code creation, Custom actions, GPT store, Enterprise rollout, Recommended model, O3 model, O3 Pro model, GPT-4.5, Data storytelling, AI humanizer, Multimodal capabilities, Sentiment analysis, Thematic clustering, Research analyst, Meeting actionizer, Personalized learning architect, Financial snapshot, Web search, Canvas mode, Python coding, Boolean search, AGSentic reasoning, Chain of thought, Knowledge files, Fine-tuning, Domain expertise, Automated workflows, Generative AI, Creative marketing, Information synthesis, Meeting analysis, Decision automation, Webhooks, APIs, Knowledge tokenization.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

As AI continues to dominate headlines and crypto continues to evolve behind the scenes, the real story may lie in their convergence. In this episode of Tech Talks Daily, I sat down with Dan Kim from Coinbase to discuss how these two technologies are shaping the future of digital commerce and development. Dan leads the Coinbase Developer Platform, a project focused on simplifying blockchain development for millions of developers worldwide. He shared how the platform abstracts away complexity through familiar SDKs and APIs, removing the need for deep blockchain expertise. This isn't just about making it easier to code on-chain. It's about opening the door for new kinds of applications, many of which are being driven by AI. We dug into the emerging concept of "agentic commerce," where AI agents can autonomously carry out transactions using blockchain infrastructure. These agents are now capable of acting on our behalf, making purchases and managing digital assets within defined parameters. This shift is already changing how developers think about building tools for e-commerce, travel, and digital services. Dan also discussed the evolving role of creators in this new landscape. Blockchain technology combined with AI is creating new ways to monetize content, build applications, and launch experiences without relying on traditional platforms. He even shared a personal example—his own AI-powered music project that turns complex crypto topics into relatable Top 40 tracks. From the reawakening of HTTP's long-forgotten 402 payment code to the real-world implications of AI agents handling financial transactions, this conversation revealed just how quickly things are moving. For developers and business leaders alike, the fusion of AI and crypto is no longer speculative. It's here, and it's changing how we interact, build, and pay.