Webinar Highlights
00:00 Introduction to Agentic AI
06:00 Defining Agentic AI
09:35 The Role of Agents in Software Development
15:22 Vibe Coding vs. Agentic Development
18:17 Security Implications of Agentic AI
20:26 Understanding Data Access and Security Risks
26:01 Prompt Injection and Its Risks
28:16 Understanding Prompt Injection and AI Security
32:24 The Rapid Evolution of AI Technologies
34:45 Navigating the AI Landscape for Businesses
39:30 Choosing the Right Development Partner
44:17 The Future of Work in an AI-Driven World
Introduction:
The concept of agentic AI has emerged as a force, particularly in the realm of software development and security. In this webinar, Mikel and I explored the implications of this technology, highlighting its potential to reshape industries and streamline processes.
1. What is Agentic AI?
Agentic AI represents a shift from traditional AI systems that merely respond to commands to those that can autonomously take action. As Mikel aptly put it, agentic AI is about moving from a passive, reactionary system to one that actively works on behalf of users. This transition allows for a more proactive approach, where AI can execute tasks without constant human input.
2. Examples of Agentic AI in Action
Mikel shared his own experience in developing a software as a service (SaaS) application using agentic AI. Remarkably, he did not write a single line of code; instead, he directed a team of AI agents that performed various tasks, from coding to user experience design. He illustrated this with a fictional team of agents named Baxter, Steve, Woz, and Linus, each designed with distinct personalities and roles. For example, Baxter acts as a communicator, while Woz focuses on coding, and Linus reviews for quality and security. This collaborative dynamic enhances productivity and ensures high-quality outputs.
3. The Role of Human Oversight
Despite the capabilities of agentic AI, Mikel emphasised the importance of human oversight. While agents can handle many tasks, programmers still play a critical role in architecture and decision-making. They ensure that the outputs align with business goals and maintain quality standards, highlighting that the human touch remains invaluable in the development process.
4. The Future of Software Development
As the conversation progressed, we discussed how the role of developers is changing. With the rise of agentic AI, developers are transitioning from traditional coding roles to positions that require strategic oversight and architectural understanding. This evolution presents new opportunities for programmers to leverage AI efficiencies while retaining their creative and critical thinking skills.
5. Security Implications
The shift towards agentic AI also raises important questions about security. Mikel pointed out that while AI can streamline development processes, the inherent risks of automation must be addressed. Security reviews and quality checks become even more critical in this new landscape, as developers must trust that their AI systems are functioning correctly and securely.
Conclusion:
Agentic AI is set to change the way we approach software development and security. Its ability to perform tasks autonomously will enhance efficiency and productivity, but it also necessitates a careful balance of human oversight and security measures. As industries adapt to this new technology, the role of developers will continue to evolve, emphasising the need for architectural understanding and strategic decision-making.
Key Takeaways:
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Agentic AI moves from reactive to proactive systems, enabling autonomous task execution.
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Human oversight remains critical to ensure quality and alignment with business goals.
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The role of developers is shifting towards strategic oversight rather than traditional coding.
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Security considerations are paramount as automation becomes more prevalent.
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