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ConTejas Code

Tejas Kumar
ConTejas Code
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  • 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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  • 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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  • 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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  • 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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  • Liran Tal: How to Secure Your Apps and AI Agents
    Links- Codecrafters (partner): https://tej.as/codecrafters- Snyk: https://snyk.io/- Liran on X: https://x.com/liran_tal- Tejas on X: https://x.com/tejaskumar_SummaryIn this conversation, we explore the complexities of software security, particularly focusing on the challenges posed by Node.js and the broader software supply chain. We discuss the evolution of security practices, the importance of awareness among developers, and the role of automation in enhancing security measures. The conversation highlights the need for a balance between automated tools and manual audits, emphasizing that human oversight remains crucial in high-risk environments. We also explore the vulnerabilities associated with open-source software and the trust developers place in third-party tools and extensions, specifically the importance of SBOMs in understanding software dependencies. We discuss the SolarWinds attack as a pivotal case in supply chain security and the role of tools like lockfile lint in enforcing security policies. Finally, we discuss AI and the role of LLMs in security, particularly regarding attack vectors and the reliability of AI-generated code.Chapters00:00 Liran Tal01:44 Introduction to Security in Software Development04:53 The Evolution of Node.js and Security Challenges07:29 Understanding Software Supply Chain Vulnerabilities10:49 The Role of Open Source in Security13:51 Exploring Security in Development Tools and Extensions16:40 The Importance of Security Awareness and Training19:40 Automating Security: Tools and Best Practices22:30 The Balance Between Automation and Manual Audits25:43 Conclusion and Future of Security in Software Development35:00 Balancing Automation and Human Intervention in Security38:08 Understanding S-BOMs and Their Importance41:14 The SolarWinds Attack: A Case Study in Supply Chain Security43:29 Lockfile Lint: Enforcing Security Policies in Code46:49 Generating SBOMs: A Practical Approach49:03 Demystifying CVSS: Understanding Vulnerability Scoring52:50 AI in Security: Attack Vectors and Defense Strategies59:52 Navigating Security in AI-Generated Code01:05:39 The Role of LLMs in Security Vulnerability Detection01:08:24 Integrating Agents for Secure Code Generation01:11:16 Challenges of LLMs in Security Validation01:14:42 The Complexity of Security in AI Systems01:20:56 Understanding Fuzzing and AI's Role01:24:08 Container Breakout Threats and Mitigation Strategies Hosted on Acast. See acast.com/privacy for more information.
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Over ConTejas Code

ConTejas Code is a podcast in the web engineering space that has deep dives on various topics between frontend engineering with React, TypeScript, Next.js, and backend engineering with Kafka, Postgres, and more. The series is a mix of long-form content and guest episodes with industry leaders in the web engineering space.From the podcast, listeners will take away actionable best practices that you can integrate into your workflows as well as valuable insights from prominent people in the industry. Hosted on Acast. See acast.com/privacy for more information.
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