ConTejas Code

• Kent C. Dodds: Model Context Protocol (MCP) and how it changes UX

  Links- Codecrafters (sponsor): https://tej.as/codecrafters- Epic AI: https://epicai.pro/- MCP: https://www.anthropic.com/news/model-context-protocol- Kent on X: https://x.com/kentcdodds- Tejas on X: https://x.com/tejaskumar_SummaryIn this episode, we explore the evolution of user interaction, particularly in the context of AI and the Model Context Protocol (MCP). We discuss how user experiences are shifting from traditional UI elements to more natural language interactions, akin to conversing with a human assistant. We also discuss the potential of AI to enhance user experiences and the implications of MCP in creating more efficient workflows. Kent shares his vision for a Jarvis-like AI assistant that could revolutionize how we interact with technology, emphasizing the importance of understanding and implementing MCP for developers and users alike. We also talk about security concerns, particularly tool poisoning, highlighted as significant issues that need addressing. Chapters00:00:00 Intro00:03:35 The Evolution of User Interaction00:07:41 AI and the Future of User Experience00:11:45 Building the Future: Jarvis and MCP00:15:34 MCP: Understanding the Model Context Protocol00:28:28 The Practical Implications of MCP00:42:14 Understanding MCP and LLM Interactions00:47:12 The Evolution and Maturity of MCP Spec00:52:07 The Future of MCP and Its Adoption01:01:07 Security Concerns in MCP: Tool Poisoning01:05:20 MCP's Impact on Digital Strategies01:22:25 The Future of AI and MCP01:28:18 User Experience and Adoption of AI01:33:44 How to Get Started with MCP01:40:50 Building MCP Servers and Best Practices01:45:46 Exploring AI Developments Beyond MCP01:52:45 Agent Communication and Tool Management01:57:31 Where to find Kent C. Dodds Hosted on Acast. See acast.com/privacy for more information.

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  2:01:25
• Kendo UI Team: How to build quality design systems, Kendo UI, collaboration

  Links- Kendo React: https://www.telerik.com/kendo-react-ui/components/free- Kathryn's Book: https://www.telerik.com/campaigns/design-story/ebook--foundations-of-design-for-developers- Progress: https://progress.com - Sam on X: https://x.com/samidip- Kathryn on X: https://x.com/kathryngrayson- Kiril on X: https://x.com/kirchoniSummaryIn this episode, we talk with Sam Basu, Kathryn Grayson Nanz, and Kiril to explore Kendo UI and Kendo React. We discuss the evolution of UI libraries, the engineering behind Kendo's components, and the importance of accessibility in modern applications. The conversation delves into the unique offerings of Kendo React, particularly its data grid and virtualization techniques, as well as the design considerations that enhance user experience. The introduction of the Theme Builder is highlighted as a tool that bridges the gap between design and development, allowing for seamless collaboration and customization. We also cover the importance of collaboration between designers and developers, the significance of design tokens, and the incremental adoption of Kendo React in existing applications. Chapters00:00:00 Intro00:04:24 Kendo UI and Progress00:07:19 Kendo React's Unique Offerings00:10:35 The Engineering Behind Kendo UI Components00:13:10 Kendo React: A Case Study in UI Libraries00:16:19 Accessibility and Compliance in Kendo React00:19:35 Deep Dive into Kendo React's Data Grid00:22:26 Virtualization Techniques in Kendo React00:25:31 Design Considerations for Kendo UI Components00:28:37 Theme Builder: Bridging Design and Development00:38:15 Version Control in Design Workflows00:39:22 The Evolution of Theme Builder00:40:41 User-Centric Design and Feedback00:42:35 The Role of Design Systems00:44:37 Bridging the Gap: Designer-Developer Collaboration00:46:12 Understanding Design Tokens00:47:57 Incremental Adoption of Kendo React00:55:53 State Management in Kendo React00:62:37 Bundle Size Considerations01:10:35 Measuring the Success of a Design System01:15:14 Design Systems and Component Libraries01:19:45 The Role of Progress and Kendo UI01:24:21 Learning Resources for Developers01:27:56 Evaluating UI Component Libraries01:33:56 Collaboration in UI Design and Development01:36:14 Emerging Technologies and AI in UI Development01:44:23 Future Trends in React and UI Components Hosted on Acast. See acast.com/privacy for more information.

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  1:47:44
• Event Sourced Architecture: A Deep Dive

  Follow me on 𝕏: https://x.com/tejaskumar_This podcast episode dives deep into the world of Event Sourcing, a powerful architectural pattern used in modern software development. Beginning with a clear definition of Event Sourcing, the episode explores its roots in Domain Driven Design and its critical role in recording and storing every change made to the state of an application in an event store. I break down complex topics, such as the nature of events, the intricacies of implementing Event Sourcing in real-world applications, and the various benefits and challenges associated with this approach.Listeners will gain insights into the practical aspects of Event Sourcing, including detailed discussions on storage costs, computational expenses, and the practice of snapshotting to optimize performance. The episode also covers the concept of event ownership, Command Query Responsibility Segregation (CQRS), and ensuring data consistency using Apache Kafka, a distributed event streaming platform known for its high throughput, reliability, and scalability.Further, the episode delves into Kafka's performance mechanisms, its use as an event store, and the transition from Zookeeper to KRaft for cluster coordination. Alternatives to Kafka, such as using Postgres' Write-Ahead Logging (WAL) as an event store, are examined, providing listeners with a comprehensive view of the options available for implementing Event Sourcing.The discussion extends to real-life use cases of Event Sourcing, highlighting its application across various industries and projects. The experts also tackle some of the common problems encountered when adopting Event Sourcing, offering practical advice and solutions. Finally, the episode concludes with a thoughtful analysis on whether Event Sourcing is the right choice for your project, helping listeners to make informed decisions based on their specific needs and project requirements.This episode is a must-listen for software developers, architects, and technology leaders looking to understand Event Sourcing, its benefits, challenges, and implementation strategies. Whether you're new to Event Sourcing or looking to refine your existing knowledge, this episode provides valuable insights into making the most of this powerful architectural pattern.Chapters00:00 - Intro03:33 - Sponsor (CrabNebula.dev)04:21 - Defining Event Sourcing07:47 - What are Events? (Domain Driven Design)14:45 - Real-World Examples of Event Sourcing19:52 - Complexities of Event Sourcing21:33 - Storage Costs23:36 - Computational Costs24:10 - Snapshotting35:15 - Event Ownership36:19 - CQRS44:08 - Consistency with Kafka54:10 - Kafka Performance Mechanisms01:03:05 - Kafka as an Event Store01:04:13 - Zookeeper & KRaft01:09:47 - Postgres WAL as an Event Store?01:13:24 - Event Sourcing Use Cases01:18:50 - Event Sourcing Problems01:26:22 - Should You Event Source?01:27:44 - Conclusion Hosted on Acast. See acast.com/privacy for more information.

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  1:29:34
• Get up to date with AI in 2025: Agents, Model Context Protocol (MCP), Hybrid Search, RAG, and more...

  Links- Codecrafters: https://tej.as/codecrafters- Tejas on X: https://x.com/tejaskumar_- JSHeroes conference: https://jsheroes.io- Attention is All You Need Paper: https://scispace.com/pdf/attention-is-all-you-need-1hodz0wcqb.pdf- Google Agents paper: https://ppc.land/content/files/2025/01/Newwhitepaper_Agents2.pdf- Jack Herrington episode about implementing MCP server:- YouTube: https://www.youtube.com/watch?v=0zXyCQV4A84- Apple: https://podcasts.apple.com/nz/podcast/jack-herrington-model-context-protocol-mcp-growing/id1731855333?i=1000698551942- Spotify: https://open.spotify.com/episode/5u7ReU2AMnS3TOYuiSwVY1?si=HrBzavRGThOITtYdXDloTA- John McBride episode about fine-tuning Mistral 7B at OpenSauced- YouTube: https://www.youtube.com/watch?v=ipbhB3k0ik0- Apple: https://podcasts.apple.com/us/podcast/1731855333?i=1000663298584- Spotify: https://open.spotify.com/episode/77UWTis0TxCd1uPOZhGAnJ?si=CUGmHtJ2RxWhmW5MI3XYbgSummaryThis episode is a long-form lecture on AI innovation in 2025. We cover a wide range of topics. For more details, see chapters below.Chapters00:00:00 Intro00:02:31 What is AI?00:07:30 Limitations of AI00:14:29 Solving AI Problems with RAG00:22:51 Embeddings and Vector Databases Explained00:31:23 Hybrid Search: Vectors and Keywords (BM25)00:38:17 Rerankers for Maximum Accuracy00:43:51 RAG vs. Fine-Tuning00:54:29 AI Agents01:13:12 Model Context Protocol (MCP)01:26:12 How to Get Started01:34:04 Conclusion Hosted on Acast. See acast.com/privacy for more information.

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  1:35:50
• Shuhao Zhang, founder Tiny Fish: How to Turn Any Website into an API for AI Agents

  Links- Codecrafters: https://tej.as/codecrafters- Tiny Fish: https://tinyfish.io- AgentQL: https://www.agentql.com/SummaryIn this conversation, we discuss AgentQL, a framework designed to enable AI agents to access the web using natural language. Together, we explore the technical aspects of AgentQL, its advantages over traditional web access methods, and the challenges faced in its development. The discussion also covers the role of TinyFish, the parent company of AgentQL, and the future direction of their products. Key use cases for developers are highlighted, showcasing how AgentQL can simplify web scraping and automation tasks. We deep dive into the integration of Playwright with AgentQL, the engineering decisions behind its development, and the importance of maintaining consistency across different SDKs. The conversation also touches on the challenges of remote browsing, security concerns, and the complexities of navigating data structures. Additionally, the various operating modes of AgentQL are explored, highlighting the trade-offs between speed and accuracy. Chapters03:25 Introduction to AgentQL06:33 The Technical Framework of AgentQL09:34 Challenges with Traditional Web Access12:35 The Role of TinyFish and Future Products15:25 Technical Hurdles in Building AgentQL18:26 Interacting with the DOM21:29 Use Cases for Developers24:21 Building with AgentQL27:35 Disambiguation and Query Context30:32 Balancing Precision and Flexibility33:30 Future Directions and Enhancements36:36 Integrating Playwright with AgentQL38:56 Building Infrastructure for Remote Browsing39:30 Engineering Decisions in AgentQL Development45:05 Web Test Automation and AgentQL45:55 SDK Development: Python vs JavaScript47:39 Maintaining Consistency Across Languages51:40 Cross-Browser Support with Playwright54:17 Security Concerns in Remote Browsing59:14 Navigating Complex Data Structures01:03:36 Operating Modes of AgentQL01:04:20 Understanding Browser Fingerprinting and Anti-Bot Measures01:06:31 Exploring AgentQL's Browser Toolkit for Langchain01:09:15 AgentQL's Potential in Automating Workflows01:10:17 The Future of Email Automation with AgentQL01:11:34 Navigating the Challenges of Building a Startup01:16:20 Achieving Success on Product Hunt01:19:30 Implementation Pitfalls for New AgentQL Developers01:21:37 Founder's Playbook: Lessons Learned Hosted on Acast. See acast.com/privacy for more information.

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  1:36:33

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