AI Agents in the SDLC: Productivity, Security, and the New Developer Paradox

This talk explores the integration of AI agents into the software development lifecycle (SDLC) and their impact on developer productivity and security. It highlights the 'productivity paradox' where AI-assisted coding can lead to slower development cycles due to increased pull request volume and human review requirements. The presentation also discusses the security risks of AI-generated code, noting that a significant percentage of such code introduces new vulnerabilities. Finally, it demonstrates how to use AI agents for automated log analysis and security bug detection.