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.
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.
Links
- Codecrafters: https://tej.as/codecrafters
- Tiny Fish: https://tinyfish.io
- AgentQL: https://www.agentql.com/
Summary
In 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.
Chapters
03:25 Introduction to AgentQL
06:33 The Technical Framework of AgentQL
09:34 Challenges with Traditional Web Access
12:35 The Role of TinyFish and Future Products
15:25 Technical Hurdles in Building AgentQL
18:26 Interacting with the DOM
21:29 Use Cases for Developers
24:21 Building with AgentQL
27:35 Disambiguation and Query Context
30:32 Balancing Precision and Flexibility
33:30 Future Directions and Enhancements
36:36 Integrating Playwright with AgentQL
38:56 Building Infrastructure for Remote Browsing
39:30 Engineering Decisions in AgentQL Development
45:05 Web Test Automation and AgentQL
45:55 SDK Development: Python vs JavaScript
47:39 Maintaining Consistency Across Languages
51:40 Cross-Browser Support with Playwright
54:17 Security Concerns in Remote Browsing
59:14 Navigating Complex Data Structures
01:03:36 Operating Modes of AgentQL
01:04:20 Understanding Browser Fingerprinting and Anti-Bot Measures
01:06:31 Exploring AgentQL's Browser Toolkit for Langchain
01:09:15 AgentQL's Potential in Automating Workflows
01:10:17 The Future of Email Automation with AgentQL
01:11:34 Navigating the Challenges of Building a Startup
01:16:20 Achieving Success on Product Hunt
01:19:30 Implementation Pitfalls for New AgentQL Developers
01:21:37 Founder's Playbook: Lessons Learned
Hosted on Acast. See acast.com/privacy for more information.
