Heavybit

On episode 33 of @opensourceready, Brian Douglas and John McBride sit down with James Strong and Marco Ebert to discuss the sunsetting of Ingress NGINX. They explore the technical and human challenges of maintaining a project used by half of Kubernetes clusters, including security incidents and maintainer burnout. Tune in! hubs.ly/Q046ntq60

On episode 49 of The Kubelist Podcast (@readkubelist), Marc (@marccampbell) and Benjie (@shipyardbuild) join Felipe Huici (@felipehuici) for a deep technical conversation on virtualization, performance, and the future of cloud computing. A must-listen for platform engineers and cloud architects! hubs.ly/Q045g8GN0

was a blast chatting with the @heavybit team about the future of coding agents

On episode 7 of High Leverage, @josephruscio joins @PeterBell (@GatherDev) for a deep technical discussion on scaling engineering organizations in the age of AI. They cover the micro-transitions every CTO faces, why context and documentation are becoming strategic assets, and how to prepare teams for agentic development workflows. If you’re leading technical teams through rapid change, this episode offers a practical blueprint. Tune in! hubs.ly/Q045ptVV0

What's missing to make AI agents mainstream? For more perspective on putting agents into production for real-world engineering teams, we spoke with founder @dexhorthy of @humanlayer_dev. hubs.ly/Q047cLd80

On episode 53 of Generationship, @rachelchalmers sits down with Dr. Mehdi Nourbakhsh to explore how AI is transforming the physical and digital worlds. They discuss the origins of generative design, why many AI initiatives fail inside organizations, and how leaders can move beyond experimentation toward real adoption. Tune in! hubs.ly/Q046dngM0

What exactly is Progressive Delivery, and where did the idea come from? In this debut episode of Third Loop, the hosts unpack the origin story behind the term, tracing its roots through cloud-native infrastructure, feature management, and modern deployment practices. Tune in! hubs.ly/Q046bv5C0

Throughout startup history, an acqui-hire meant a company had failed. But in the AI era, a new category of expensive acqui-hires has emerged, including Inflection, LoveForm, Windsurf, Scale AI, Adept, OpenClaw. @amirzo breaks it down: hubs.ly/Q046Y_YY0

Throughout startup history, an acqui-hire meant a company had failed. But in the AI era, a new category of expensive acqui-hires has emerged, including Inflection, LoveForm, Windsurf, Scale AI, Adept, OpenClaw. @amirzo breaks it down: hubs.ly/Q046Z0Lh0

On episode 9 of Data Renegades, Wes McKinney (@wesmckinn) of @posit_pbc and @ComposedVC unpacks how AI is transforming software creation and the modern data stack. He explains why semantics remain a hard problem for LLMs and why the future may belong to smaller, more credible builders. Tune in! hubs.ly/Q045dS-70

Is mass adoption of agents right around the corner? Will the world of software soon be dominated by millions of autonomous agents hammering APIs non-stop?hubs.ly/Q046CYKP0

Are you DIr+, Staff+ or dev tool founder in NYC? Join me to discuss "Scaling Agentic AI in the SDLC" - 3/31 6pm, NYC Most of the CTOs I speak to have had their “claude code moment” by now, but the question is how to safely and reliably scale from augmented to agentic engineering in complex brownfield code bases and how to propagate good practices across larger engineering orgs. On Tuesday, March 31st in conjunction with @heavybit and @radarlabs  I'll be co-hosting an evening of short talks, an engineering leadership panel, and honest conversation about what's actually working as engineering teams work on scaling agentic workflows across the software development lifecycle. luma.com/2026-03-agenti…

It's said that in a few years, 80% of API calls will come from AI agents. Back-end systems will need to become significantly more durable and flexible. @mfpiccolo shares his thoughts on how the architecture needs to evolve, and how teams should think about the future to come. hubs.ly/Q046CqWP0

On episode 33 of @opensourceready, @bdougieYO and @johncodes sit down with James Strong and Marco Ebert. They discuss the retirement of Ingress NGINX, one of the most widely used Kubernetes ingress controllers, and the factors that led to its deprecation. The conversation explores maintainer burnout, major security vulnerabilities like IngressNightmare, and the ecosystem’s shift toward Gateway API. hubs.ly/Q046ngvN0

🚨 New Podcast Alert: Check out Third Loop, the show examining technology through the perspectives of builders, users, and observers. This debut episode unpacks the origins of Progressive Delivery. Tune in! hubs.ly/Q046bmsP0

On episode 49 of The Kubelist Podcast(@readkubelist), Marc (@marccampbell) and Benjie (@shipyardbuild) speak with Felipe Huici (@felipehuici) about building a more efficient cloud using unikernels. Felipe shares the research journey behind Unikraft, explains how scale-to-zero virtual machines work, and discusses why AI workloads are forcing a rethink of traditional infrastructure design. hubs.ly/Q045gg8H0

In this debut episode of Third Loop, @monkchips, Kim Harrison, Heidi Waterhouse, and @azimman explore how the concept of Progressive Delivery emerged from real-world frustrations with how the industry talked about shipping software. The conversation also sets the stage for the podcast’s broader mission: examining technology through the perspectives of builders, users, and observers. Tune in! hubs.ly/Q046brr70

We did a thing 👀 Heavybit is officially on TikTok 🎥 @heavybitindustries" target="_blank" rel="nofollow noopener">tiktok.com/@heavybitindus…

On episode 32 of @opensourceready, Brian Douglas (@bdougieYO) and John McBride (@johncodes) sit down with Glauber Costa (@glcst) to unpack the future of embedded databases and open source infrastructure. They cover Turso’s (@tursodatabase) Rust-based architecture, lessons from Linux kernel development, and how AI is changing everything from bug fixing to product design. hubs.ly/Q043mDQN0

On episode 7 of High Leverage, @josephruscio speaks with @PeterBell (@GatherDev) about the changing responsibilities of today’s CTO, and how AI is accelerating that shift. From minimizing cycle time in the early days to orchestrating alignment at scale, they discuss the structural transitions technical leaders must navigate. Tune in! hubs.ly/Q045prDB0