1. Defining SDLC 2.0 – The transition from passive AI assistance to active AI autonomy.
2. Multi Agent workflows: Design, Code, & Self-Healing QA – How specialized agents interact to automatically translate requirements into architecture, execute repository-wide code changes, and independently write tests to auto-patch bugs.
3. Human-in-the-loop evolution – The shift in the human developer’s responsibilities from syntax execution to high-level intent validation, system architecture, and final gatekeeping.
4. Governance, Security and vulnerabilities – Navigating the real-world friction of agentic deployment, including managing code hallucinations, security vulnerabilities, and repository access control.
5. Impact on Velocity and value – How hyper-accelerated development cycles change business dynamics, shifting the ultimate competitive advantage from code output volume to product strategy and design
6. QA and self-healing – How the testing has evolved and how to auto-generate self-healing patches
Key Takeaways:
1. Change in mindset of shifting from assisted coding to autonomous coding
2. How to adapt to the new ways of working and how to bring in human in the loop
3. understanding the impact and possible way forward
4. Governance and security – how it works in agentic world
5. Mitigating risks
- Date:22/08/2026
- Time:10:20
- Event:SDLC 2.0: The Agentic Shift @Chennai
