Color Theory For Software Engineers + Color Accessibility & Performance with Sarah Shook

Modern Web

محتوای ارائه شده توسط Modern Web. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Modern Web یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

1y ago 26:10

MP3•خانه قسمت

In this episode of the Modern Web podcast, Tracy Lee and Rob Ocel sit down with Sarah Shook, a UI/UX engineer at Hunter Industries. They discuss the topic of Sarah’s THAT Conference talk on color theory, exploring the intricacies of RGB, HSL, and hex color models. The discussion also touches on the importance of understanding how color accessibility impacts your page’s performance.

Chapters

- 00:00 - Introduction and Guest Introduction

- 01:30 - Balancing Work and Parenthood

- 03:20 - Family-Friendly Conferences and THAT Conference Experience

- 05:45 - Overview of Sarah's Presentation on Color Theory

- 07:00 - Understanding Additive and Subtractive Color Models

- 09:00 - RGB to Hex Conversion Explained

- 11:45 - Importance of Color Theory in Web Development

- 14:00 - Accessibility and Color Luminescence

- 16:00 - Tools and Resources for Color Accessibility

- 18:30 - Sarah’s Experience with Vue and Other Frameworks

- 21:00 - Discussion on Framework Deployment and Tooling

- 23:15 - The Challenges and Benefits of Learning Multiple Frameworks

- 25:00 - Tailwind, TypeScript, and Framework Preferences

- 27:00 - Vue Community and Tooling Insights

- 29:00 - Advanced JavaScript and TypeScript Content with DropJS

- 31:00 - Sarah’s Color Utility Project and Where to Find Her

- 32:30 - Closing Thoughts and Outro

Follow Sarah Shook on Social Media

Twitter: https://x.com/shookcodes

Linkedin: https://www.linkedin.com/in/sarahshook/

Github: https://github.com/shookcodes

165 قسمت

#Tech #Traci Lee

Color Theory For Software Engineers + Color Accessibility & Performance with Sarah Shook

Modern Web

published 1y ago

اشتراک گذاری

MP3•خانه قسمت

Chapters

- 00:00 - Introduction and Guest Introduction

- 01:30 - Balancing Work and Parenthood

- 03:20 - Family-Friendly Conferences and THAT Conference Experience

- 05:45 - Overview of Sarah's Presentation on Color Theory

- 07:00 - Understanding Additive and Subtractive Color Models

- 09:00 - RGB to Hex Conversion Explained

- 11:45 - Importance of Color Theory in Web Development

- 14:00 - Accessibility and Color Luminescence

- 16:00 - Tools and Resources for Color Accessibility

- 18:30 - Sarah’s Experience with Vue and Other Frameworks

- 21:00 - Discussion on Framework Deployment and Tooling

- 23:15 - The Challenges and Benefits of Learning Multiple Frameworks

- 25:00 - Tailwind, TypeScript, and Framework Preferences

- 27:00 - Vue Community and Tooling Insights

- 29:00 - Advanced JavaScript and TypeScript Content with DropJS

- 31:00 - Sarah’s Color Utility Project and Where to Find Her

- 32:30 - Closing Thoughts and Outro

Follow Sarah Shook on Social Media

Twitter: https://x.com/shookcodes

Linkedin: https://www.linkedin.com/in/sarahshook/

Github: https://github.com/shookcodes

165 قسمت

#Tech #Traci Lee

همه قسمت ها

Modern Web

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Sentry Has New AI Tools for Monitoring and Developer Workflows 42:18

۸ روز پیش42:18

42:18

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/ThisDotLabs This Dot Media Twitter: https://x.com/ThisDotMedia This 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.social Sponsored by This Dot Labs: https://ai.thisdot.co…

Modern Web

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How Elasticsearch Improves Search Relevance, Log Parsing, Production Systems, + More! 35:34

20 روز پیش35:34

35:34

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/ThisDotLabs This 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.social Sponsored by This Dot Labs: ai.thisdot.co…

Modern Web

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48:00

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/ThisDotLabs This Dot Media Twitter: https://x.com/ThisDotMedia This 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.social Sponsored by This Dot Labs: ai.thisdot.co…

Modern Web

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۹ weeks پیش36:18

36:18

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Modern Web

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What is Agent Experience (AX)? + Scalable AI Agent Orchestration 39:06

۹ weeks پیش39:06

39:06

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Modern Web

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10 weeks پیش40:02

40:02

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Modern Web

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How MCP is Changing AI App Building 49:51

12 weeks پیش49:51

49:51

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47:28

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Modern Web

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14 weeks پیش35:02

35:02

In this episode of the Modern Web Podcast, Danny Thompson sits down with Reed Harmeyer, CTO of Skylight Social, and Brandon Mathis, React Native engineer at This Dot Labs. They unpack the technical and strategic decisions behind Skylight’s meteoric growth: why they built on the AT Protocol, how they tackled video discovery and scaling challenges, and how a fast-tracked in-app video editor gave them an edge. Keypoints from this episode: Skylight Social was built on the AT Protocol, allowing users to retain followers across platforms like Blue Sky and enabling creators to publish interoperable content in a decentralized social network. The team used React Native with Expo to achieve rapid development and cross-platform performance—launching a high-quality, TikTok-like video experience in just days. An in-app video editor was prioritized to reduce friction for creators, built using a native SDK wrapped with Expo Modules, enabling features like clip rearranging, overlays, voiceovers, and AI-generated captions. User behavior data—specifically watch time—drives content recommendations, not just likes or follows, helping Skylight offer a personalized experience while navigating scaling challenges from hypergrowth. Follow Reed Harmeyer on Social Media Bluesky: https://bsky.app/profile/reedharmeyer.bsky.social Linkedin: https://www.linkedin.com/in/reed-harmeyer/…

Modern Web

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What’s New About Heroku in 2025? AI Platform as a Service + What are MCPs? 38:31

15 weeks پیش38:31

38:31

In this episode of the Modern Web Podcast, Rob Ocel and Danny Thompson sit down with Julián Duque, Principal Developer Advocate at Heroku, to talk about Heroku’s evolution into an AI Platform-as-a-Service. Julián breaks down Heroku’s new Managed Inference and Agents (MIA) platform, how they’re supporting Claude, Cohere, and Stable Diffusion, and what makes their developer experience stand out. They also get into Model Context Protocols (MCPs)—what they are, why they matter, and how they’re quickly becoming the USB-C for AI. From internal tooling to agentic infrastructure and secure AI deployments, this episode explores how MCPs, trusted environments, and better AI dev tools are reshaping how we build modern software. Key Points from this episode: - Heroku is evolving into an AI Platform-as-a-Service with its new MIA (Managed Inference and Agents) platform, supporting models like Claude, Cohere, and Stable Diffusion while maintaining a strong developer experience. - MCPs (Model Context Protocols) are becoming a key standard for extending AI capabilities—offering a structured, secure way for LLMs to access tools, run code, and interact with resources. - Heroku's AI agents can perform advanced operations like scaling dynos, analyzing logs, and self-healing failed deployments using grounded MCP integrations tied to the Heroku CLI. - Despite rapid adoption, MCPs still have rough edges—developer experience, tooling, and security protocols are actively improving, and a centralized registry for MCPs is seen as a missing piece. Chapters 0:00 – What is MCP and why it matters 3:00 – Heroku’s pivot to AI Platform-as-a-Service 6:45 – Agentic apps, model hosting, and tool execution 10:50 – Why REST isn’t ideal for LLMs 14:10 – Developer experience challenges with MCP 18:00 – Hosting secure MCPs on Heroku 23:00 – Real-world use cases: scaling, healing, recommendations 30:00 – Common scaling challenges and hallucination risks 34:30 – Testing, security, and architecture tips 36:00 – Where to start and final advice on using AI tools effectively Follow Julián Duque on Social MediaTwitter/X: https://x.com/julian_duque Linkedin: https://www.linkedin.com/in/juliandavidduque/ Sponsored by This Dot: thisdotlabs.com…

Modern Web

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Building Roo Code: Agentic Coding, Boomerang Tasks, and Community 44:11

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44:11

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Modern Web

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Battle of The AI Agents: RooCode, Claude, & Cursor 37:33

18 weeks پیش37:33

37:33

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Modern Web

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Why Unkey Ditched TypeScript and Serverless for GO! 37:17

19 weeks پیش37:17

37:17

In this episode of the Modern Web Podcast, host Danny Thompson and co-host Adam Rackis chat with James Perkins, CEO of Unkey, an open-source API management platform built for scale, security, and developer simplicity. James shares the challenges of building globally distributed infrastructure, and why his team ditched serverless and TypeScript in favor of Go and servers. They talk candidly about the realities of API management at scale, how Unkey balances open source transparency with enterprise-grade performance, and what it takes to build developer trust—both as a brand and as a product. Keypoints from this episode Unkey simplifies API management by acting as middleware for authentication, rate limiting, and security—without requiring deep backend expertise. It's designed for developers to go from idea to production with minimal setup. Go over serverless – James and his team initially explored TypeScript and serverless architecture but ultimately returned to Go and servers for better performance, scalability, and developer experience at scale. Open-source transparency is core to Unkey’s philosophy – The entire codebase is public, and the team maintains a radically open company culture, where even investor updates and customer support emails are shared internally. Customer obsession drives every decision – Regardless of whether a user is paying $0 or $2,000/month, Unkey responds quickly, prioritizes community support, and encourages a culture of ownership and responsiveness across the team. Chapters 00:00 – Intro + Why Unkey exists 02:00 – James' background and API pain points 03:50 – What Unkey actually does 05:45 – Engineering challenges + scaling architecture 07:30 – Tech stack changes: Go, TypeScript, Serverless 08:45 – Unkey as middleware: auth, rate limiting, analytics 10:40 – Future vision: making APIs as easy as deploying on Vercel 11:45 – Why Go instead of Node or TypeScript 13:30 – Go vs TypeScript: hiring, dependencies, developer experience 15:00 – Why API management is hard at scale 17:15 – Case study: Fireworks and Google Apigee performance issues 19:00 – The complexity of modern API platforms 20:00 – Sponsor break: This Dot Labs 20:35 – Will Unkey expand into app hosting? 22:00 – Unkey's focus on doing one thing really well 23:45 – Content strategy: personal brand vs corporate marketing 26:20 – Customer obsession: internal culture and open company model 30:30 – Open source dynamics and being fully transparent 33:45 – Advice for developer-entrepreneurs 36:24 – Wrap up + where to find the speakers Follow James Perkins on Social Media Twitter/X: https://x.com/james_r_perkins Blue Sky: https://bsky.app/profile/jamesperkins.dev Unkey: https://www.unkey.com/ Sponsored by This Dot: thisdot.co…

Modern Web

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20 weeks پیش42:57

42:57

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Modern Web

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Battle of the Agentic AI Platforms: v0 vs Bolt vs Replit 40:37

21 weeks پیش40:37

40:37

In this episode of the Modern Web Podcast, host Danny Thompson sits down with Ben Peeri, Lead Solutions Architect and Entrepreneur, for a candid and energetic conversation on how AI tools are reshaping the way developers build software. They explore the strengths and tradeoffs of platforms like v0, Bolt, and Replit, diving into how these tools fit into modern dev workflows—from quick POCs to potential production use.Ben shares his unique approach to local LLMs, including how he uses them for pen testing and simulating malicious actors to harden apps before release. The conversation also covers the shifting landscape for junior developers, why thinking like a product owner is more critical than ever, and what it means to lead a team of AI agents.Keypoints from this episode:- AI tools compared – v0, Bolt, and Replit each serve different purposes, from fast prototyping to more complex backend support, but all come with trade-offs in control and scalability.- Local LLMs for security – Running local models allows for safe pen testing by simulating bad actors, something API-based LLMs can’t do due to usage restrictions.- The role of prompting – Effective prompting, even using “carrot and stick” tactics, makes a big difference in the quality of LLM outputs and testing accuracy.- The evolving dev role – Junior devs will need to shift from building everything from scratch to refining and scaling AI-generated code—thinking more like operators of agent-powered dev studios.Follow Ben Peeri on Linkedin: https://www.linkedin.com/in/benpeeri/ Sponsored by This Dot: thisdotlabs.com…

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Modern Web « » Color Theory For Software Engineers + Color Accessibility & Performance with Sarah Shook

Color Theory For Software Engineers + Color Accessibility & Performance with Sarah Shook

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Color Theory For Software Engineers + Color Accessibility & Performance with Sarah Shook