Modern Web

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/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: https://ai.thisdot.co/

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/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/

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/This Dot Labs Twitter: https://x.com/ThisDotLabsThis Dot Media Twitter: https://x.com/ThisDotMediaThis Dot LabsInstagram: 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

Sean Roberts, Head of AX Architecture at Netlify, dives into the innovative world of Agentic Experience (AX). He explains how AX transforms digital service design for AI agents, discussing why user flows often falter in agent-driven settings. Sean highlights the importance of effective discoverability through SEO and structured content. He also questions the relevance of traditional CMS platforms amid evolving AI needs, sharing a humorous incident where an AI agent took down Netlify’s homepage, underscoring the growing complexity of web content interaction.

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

Tejas Kumar, host of The Contagious Code podcast and Developer Relations Engineer at DataStax, dives into the revolutionary Model Context Protocol (MCP). He explains how MCP enables seamless communication between AI apps and servers, essentially making AI interactions more intuitive. The conversation highlights real-world use cases like AI managing emails or booking flights. They also tackle the challenge of AI hallucinations and discuss the balance between user convenience and data privacy, envisioning a voice-driven future for online transactions.

In this episode of the Modern Web Podcast, Rob Ocel, Danny Thompson, and Adam Rackis sit down with Ahmad Awais, CEO and founder of LangBase, to talk about agents, context, and the future of AI-assisted software development. Ahmad shares the origin story of Chai.new, an agent that builds agents, and why he believes context, not code, is the true value layer in the AI era. The group unpacks how "vibe coding" is reshaping who can build software, why Chai isn’t just another AI assistant, and how agents might evolve into personalized, production-grade tools for everyone, technical or not. Plus: Tailwind analogies, Stanford lectures, sports nutrition agents, and a CLI that went viral in a hospital.Key points from this episode:- Ahmad Awais explains that AI agents aren't magic; they're just a new paradigm for writing software. What makes them powerful is their ability to act autonomously with relevant context, not just generate text.- Chai.new helps developers (and non-developers) create purpose-built agents without needing deep ML expertise. It abstracts complex concepts like memory, retrieval, and orchestration into an approachable interface.- Ahmad emphasizes that the real opportunity lies in agents tailored to individual users and use cases. Personal agents with custom context outperform generic ones, much like small teams beat massive frameworks for specific problems.- Chai and LangBase aim to bring AI development to the millions of engineers who aren't AI researchers. With tools like Chai, you don’t need a PhD to build powerful, production-ready AI agents.Follow Ahmad Awais on Social MediaTwitter: https://x.com/MrAhmadAwaisLinkedin: https://www.linkedin.com/in/mrahmadawais/Sponsored by This Dot: thisdot.co