Modern Web

Danny Thompson sits down with Marino Wijay, Staff Solutions Architect at Kong and CNCF Ambassador, for a wide-ranging conversation on modern cloud-native development. They start with Kubernetes as the entry point into the ecosystem and explore what it really means to be a CNCF ambassador. Marino explains the difference between an API gateway and a service mesh, when small teams should adopt each, and why managed services often make more sense than running infrastructure yourself.The discussion then shifts to reliability and observability, with a focus on automation, pipelines, and creating a seamless developer experience. Finally, Marino shares lessons from working with enterprises rolling out AI, covering vector caching, cost optimization, latency concerns, and the importance of data governance when dealing with LLM traffic. It’s an episode full of practical advice for builders navigating the realities of APIs, microservices, and AI in production today.Key points from this episode:- Kubernetes remains the entry point into the cloud-native ecosystem, giving teams the foundation to operationalize applications and join the CNCF community.- Marino breaks down the distinction between an API gateway and a service mesh, showing how a gateway like Kong secures APIs at the edge while a mesh like Kuma manages traffic, authentication, and encryption between services.- For smaller teams, the smartest path is to rely on managed services and an API gateway, introducing a service mesh only when scale and complexity demand it.- As organizations adopt AI, Marino highlights how vector caching, governance policies, and PII sanitization help control costs, cut latency, and protect sensitive data when working with LLMs.Marino Wijay on Linkedin: https://www.linkedin.com/in/mwijay/Rob Ocel on Linkedin: https://www.linkedin.com/in/robocel/Danny Thompson on Linkedin: https://www.linkedin.com/in/dthompsondev/This Dot Labs Twitter: https://x.com/ThisDotLabsThis Dot Media Twitter: https://x.com/ThisDotMediaThis Dot Labs Instagram: https://www.instagram.com/thisdotlabs/This Dot Labs Facebook: https://www.facebook.com/thisdot/This Dot Labs Bluesky: https://bsky.app/profile/thisdotlabs.bsky.socialSponsored by This Dot Labs: https://ai.thisdot.co/

Rob Ocel and Danny Thompson sit down with Andy Bell to treat CSS as a craft, not a chore. Andy explains why he mentors the browser instead of micromanaging it, how progressive enhancement keeps products resilient, and which modern features deserve attention right now, including has, anchor positioning, and clamp. The conversation gets practical on grid versus flexbox, why grid is often simpler than people think, and how ecosystems and tooling skew usage. They unpack the real reasons Tailwind spread across teams, where it helps with speed and onboarding, and why core CSS skills plus a clear methodology prevent long-term debt. Expect candid consultancy stories, smarter debugging with today’s devtools, and a reminder that play, standards knowledge, and strong communication habits lead to cleaner, more maintainable front ends.Key Takeaways:- Andy Bell stresses mentoring the browser instead of micromanaging it, leaning on progressive enhancement and letting it adapt to context.- Features like :has(), anchor positioning, and clamp are changing how developers approach layouts, interactions, and responsive design.- Despite its power, Grid hasn’t caught on like flexbox, partly due to ecosystem and tooling choices. Andy suggests learning grid first for a clearer foundation.- Tailwind solves organizational and onboarding challenges, but without solid CSS fundamentals and consistent methodologies, teams risk piling up technical debt.

Andy Bell on Linkedin: https://www.linkedin.com/in/andy-bell-347971255/

Rob Ocel on Linkedin: https://www.linkedin.com/in/robocel/

Danny Thompson on Linkedin: https://www.linkedin.com/in/dthompsondev/

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In this episode of the Modern Web Podcast, Rob Ocel and Danny Thompson are joined by Rishab Kumar, Staff Developer Evangelist at Twilio, to explore the evolving landscape of voice and AI interactions. They discuss the rise of conversational AI, how voice interfaces are becoming the natural medium for human-computer interaction, and the tools and best practices for integrating AI into real-world applications. Rishab shares insights from Twilio on building voice-enabled AI experiences, tackling challenges like latency and prompt design, and how AI is shaping the future of productivity and problem-solving. The conversation also highlights community-focused events, like the upcoming Commit Your Code Conference in Dallas, where networking, learning, and giving back to charity take center stage.

Key Takeaways:

- Voice interfaces are becoming more natural and conversational, moving beyond simple commands to context-aware, agentic interactions that can assist with tasks in real time.

- AI is being integrated into real-world use cases, from coding assistants and productivity tools to hands-on guidance for tasks like furniture assembly, car troubleshooting, and lab work.

- Platforms like Twilio provide APIs, Conversation Relay, and integrations with voice models to streamline AI voice interactions, handling challenges like latency, speech-to-text, and interruption management.

- There’s a growing need for specialized, reliable AI tools tailored to specific industries and tasks, as well as careful consideration of ethical implications, user trust, and contextual accuracy.

Rishab Kumar on Linkedin: https://www.linkedin.com/in/rishabkumar7/

Rob Ocel on Linkedin: https://www.linkedin.com/in/robocel/

Danny Thompson on Linkedin: https://www.linkedin.com/in/dthompsondev/

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In this episode, Rob Ocel and Danny Thompson enjoy a conversation with Kilian Valkhof, founder of Polypane, a browser built for developers who care deeply about their craft. The discussion explores the shifting landscape of online developer communities as conversations migrate from Twitter to Blue Sky, Mastodon, Discord, and local meetups. Kilian shares how this decentralization has shaped advocacy around accessibility, performance, and front-end principles, while Rob and Danny reflect on what developers lose and gain when there’s no longer a single central hub. They also dig into guiding principles for building quality front-end experiences, from usability and accessibility to balancing trade-offs between performance, readability, and SEO.

Key points from this episode

- Developers are finding their communities scattered across Blue Sky, Mastodon, Discord, and meetups, changing how ideas about accessibility and performance spread.

- Practical frameworks like “rule of three” and “make it run, make it right, make it fast” give developers clearer guidance than vague advice such as “don’t repeat yourself.”

- Building with craft means going beyond visual accuracy to include accessibility, usability, and small details that improve the overall user experience.

- Teams need to agree on priorities so they can navigate trade-offs between things like accessibility, performance, SEO, and readability.

Kilian Valkhof on Linkedin: https://www.linkedin.com/in/kilianvalkhof/

Rob Ocel on Linkedin: https://www.linkedin.com/in/robocel/

Danny Thompson on Linkedin: https://www.linkedin.com/in/dthompsondev/

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This episode of the Modern Web Podcast features Cody De Arkland, Head of Developer Experience at Sentry, in conversation with hosts Rob Ocel and Danny Thompson. They explore how Sentry has embraced a culture of experimentation with AI, from grassroots innovation in Slack channels to leadership setting the tone for rapid adoption. Cody shares insights into Sentry’s new AI monitoring tools, including MCP support and agent tracing, which give developers visibility into token usage, tool calls, and debugging flows. The discussion also touches on how AI is reshaping developer workflows, the balance between writing code and prompting, and why structured thinking is key to getting useful results.Keypoints from this episode:- Sentry fosters a playful, experimental environment where both grassroots initiatives and leadership drive AI adoption.- Sentry has rolled out AI monitoring with MCP support and agent tracing to give visibility into token usage, tool calls, and debugging.- AI is changing how developers approach coding, blending prompting with traditional programming.- Success with AI depends on framing problems clearly, not just relying on raw prompts.Cody De Arkland on Linkedin: https://www.linkedin.com/in/codydearkland/ Rob Ocel on Linkedin: https://www.linkedin.com/in/robocel/Danny Thompson on Linkedin: https://www.linkedin.com/in/dthompsondev/This Dot Labs Twitter: https://x.com/ThisDotLabsThis Dot Media Twitter: https://x.com/ThisDotMediaThis Dot Labs Instagram: https://www.instagram.com/thisdotlabs/This Dot Labs Facebook: https://www.facebook.com/thisdot/This Dot Labs Bluesky: https://bsky.app/profile/thisdotlabs.bsky.socialSponsored by This Dot Labs: https://ai.thisdot.co

In this episode of the Modern Web Podcast, Rob Ocel and Danny Thompson talk with Philipp Krenn, Head of Developer Advocacy at Elastic, about how Elasticsearch has evolved from a search engine into a foundation for observability, security, and AI-powered systems. Philipp explains how Elastic approaches information retrieval beyond just vector search, using tools like LLMs for smarter querying, log parsing, and context-aware data access.

They also discuss how Elastic balances innovation with stability through regular releases and a focus on long-term reliability. For teams building with AI, Elastic offers a way to handle search, monitoring, and logging in one platform, making it easier to ship faster without adding complexity.

Key points from this episode:

• Elasticsearch has expanded beyond search to support observability and security by treating all of them as information retrieval problems.

• Elastic integrates with AI tools like LLMs to improve search relevance, automate log parsing, and enable features like query rewriting and retrieval-augmented generation.

• Vector search is just one feature in a larger toolkit for finding relevant data, and Elastic supports hybrid and traditional search approaches.

• Elastic maintains a steady release cadence with a focus on stability, making it a reliable choice for both fast-moving AI projects and long-term production systems.

Philipp Krenn on Linkedin: https://www.linkedin.com/in/philippkrenn/

Rob Ocel on Linkedin: https://www.linkedin.com/in/robocel/

Danny Thompson on Linkedin: https://www.linkedin.com/in/dthompsondev/

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In this episode of the Modern Web Podcast, hosts Rob Ocel and Danny Thompson talk with Sean Roberts, Head of AX Architecture and Distinguished Engineer at Netlify, about the emerging discipline of Agentic Experience (AX). They explore how AX is reshaping how we design services for AI agents, what makes an agent experience successful, and why traditional user flows often break down in agent-driven systems. Sean discusses the role of MCPs, the challenges of discoverability, and the future of content delivery in an agent-first web. They also dig into real-world examples, like how an agent accidentally took down Netlify’s homepage, and debate whether CMSs still have a place in this new landscape. Key points from this episode- Agent experience is already part of every digital service and needs to be intentionally designed to ensure agents can interact effectively- SEO still matters but new practices like lightweight pages, structured content, and llm dot txt files help improve discoverability for agents- Systems that require human confirmation for basic actions create friction for agents and should be redesigned to allow autonomous task completion- LLMs make it possible to turn unstructured content into structured data on demand which raises questions about whether traditional CMS platforms are still necessary.Sean Roberts: https://www.linkedin.com/in/developsean/Danny Thompson: https://www.linkedin.com/in/dthompsondev/Rob Ocel: https://www.linkedin.com/in/robocel/This Dot Labs Twitter: https://x.com/ThisDotLabsThis Dot Media Twitter: https://x.com/ThisDotMediaThis Dot Labs Instagram: https://www.instagram.com/thisdotlabs/This Dot Labs Facebook: https://www.facebook.com/thisdot/This Dot Labs Bluesky: https://bsky.app/profile/thisdotlabs.bsky.socialSponsored by This Dot Labs: ai.thisdot.co

In this episode of Modern Web, Danny Thompson chats with MelkeyDev, a Machine Learning Infrastructure Engineer at Twitch, about AI’s real-world applications, developer productivity, and the future of careers in Go.

They cover everything from the rise of tiny AI-driven teams competing with large enterprises to how system prompts may matter more than model choice. Melkey shares his thoughts on cost-effective LLMs, production pitfalls, and the cognitive downsides of over-relying on AI. The conversation also explores backend development with Go, what makes it great for fast-moving teams, and how new developers can get started.Keypoints from this episode:- AI’s real value lies in business use cases. Melkey emphasizes that AI isn’t just a productivity tool; it enables small teams to build faster, cheaper, and more effectively than ever before.

- System prompts are underrated. When it comes to LLM performance, prompt engineering often matters more than the model itself, especially for UI generation and agent design.

- Cognitive cost of AI reliance. Referencing recent research, Melkey warns that overusing AI tools can reduce your ability to retain knowledge and perform certain tasks independently.- Go remains a strong backend choice. Despite being “boring,” Go continues to power developer velocity and scalable infrastructure, making it a smart language for backend-focused engineers.Follow MelkeyDev on Twitter: https://x.com/MelkeyDevSponsored by This Dot Labs: thisdot.co

In this episode of the Modern Web Podcast, hosts Rob Ocel and Danny Thompson sit down with Andre Landgraf, Senior Developer Advocate at Neon (now part of Databricks), to explore the evolving role of AI agents in developer workflows. They discuss how more Neon databases are being spun up by agents than humans, what that means for developer and agent experience (DX vs AX), and how tools like MCP and step functions are enabling scalable agent orchestration.

The conversation also touches on agent security concerns, real-time vs. async UX, and how developers can build resilient, human-in-the-loop AI systems today. Plus, Andre shares practical insights from building his own personal CRM agent and experimenting with tools like Cortex and Ingest.Keypoints from this episode:- Agents now outpace humans in provisioning databases on Neon, thanks to agent-friendly APIs, early MCP support, and seamless integration with platforms like Replit and v0.dev.- Developer experience (DX) principles directly inform agent experience (AX), tools designed for simplicity and clarity often translate well to agent interactions, but agents still need unique guardrails like resumability and fine-grained permissions.- Agent orchestration is the next big frontier, with tools like LangBase, Ingest, and step functions offering patterns for chaining tasks, running agents in parallel, and retrying failed steps—enabling more resilient and scalable AI systems.- Async UX patterns are crucial for agent-powered apps, especially as LLMs become slower and more complex. Real-time feedback, task progress indicators, and human-in-the-loop controls will define effective agent interactions.Chapters00:00 Why apps don’t talk to each other 01:44 Meet Andre Landgraf from Neon 02:39 Agents now outnumber humans on Neon 05:03 DX vs AX: Building for agents 08:58 Security and authorization for agents 13:06 What’s missing for real adoption 17:06 Building a personal CRM with agents 20:04 MCP as the universal app interface 23:32 Agent orchestration and async UX 26:46 Step functions and background tasks 30:04 Are agents ready for real-time UX? 33:19 Human-in-the-loop patterns 35:59 Where to find Andre Follow Andre Landgraf on Social Media:Twitter: https://x.com/AndreLandgraf94Linkedin: https://www.linkedin.com/in/andre-landgraf/Sponsored by This Dot Labs: thisdotlabs.com

On this episode of the Modern Web Podcast, Rob Ocel and Danny Thompson talk with Brian Morrison, Senior Developer Educator at Clerk. They cover the state of authentication today, what makes Clerk stand out for small teams and indie builders, and how thoughtful developer experience design can make or break adoption.Brian shares why bundling tools like auth, billing, and user management is becoming more common, how Clerk handles real-world concerns like bot protection and social login, and why starting with a great developer experience matters more than ever.The conversation also explores the role of AI in software development and content creation, where it helps, where it hurts, and how to use it responsibly without losing quality or trust.Keypoints for this Episode:

• Modern auth is about experience, not just security. Clerk simplifies user management, social login, bot protection, and subscription billing with developer-friendly APIs and polished default UIs.

• Bundled platforms are making a comeback. Developers are shifting from handpicking tools to using tightly integrated services that reduce setup time and complexity.

• Developer education needs more care and creativity. Brian emphasizes the importance of visual storytelling, thoughtful structure, and anticipating confusion to help devs learn faster and retain more.

• AI is a productivity multiplier, not a replacement. The group discusses how AI can accelerate development and content creation when used with oversight, but warn against using it to blindly build entire apps.

Follow Brian Morrison on Social MediaTwitter: https://x.com/brianmmdevLinkedin: https://www.linkedin.com/in/brianmmdev/Sponsored by This Dot: thisdotlabs.com