Summary

In this episode, Andrew Moore and Jess Agnew delve into the multifaceted world of AI, focusing on its implications for business development, security, and the evolving role of developers. They discuss the democratization of development through low code and no code platforms, the importance of natural language processing, and the security concerns surrounding AI code generation. The conversation emphasizes the need for a secure development pipeline, the significance of data quality, and the necessity of governance in low code environments. Ultimately, they highlight the importance of maintaining a balance between innovation and safety in the tech landscape.

Chapters

00:00 Introduction to AI and Business Value
03:01 Democratizing Development: Low Code vs No Code
05:47 Security Implications of AI Code Generation
08:49 The Role of Natural Language Processing
11:59 Protecting Against Vulnerabilities in AI Development
15:03 Building a Secure Development Environment
17:57 Retrieval Augmented Generation: A New Approach
21:00 Data Quality and Its Impact on AI Models
24:00 The Evolving Role of Developers
26:55 Governance in Low Code and No Code Environments
30:04 The Future of Technology and Business Strategy

Links

• https://www.forbes.com/councils/forbestechcouncil/2024/09/25/how-will-ai-affect-low-codeno-code-development/?utm_source=chatgpt.com
• https://www.techrepublic.com/article/ai-generated-code-outages/
• https://www.pillar.security/blog/new-vulnerability-in-github-copilot-and-cursor-how-hackers-can-weaponize-code-agents