Agentic AI
summary
Infosys outlines a platform-first path called IDP that integrates 100+ tools, uses a backend fabric to pick models and manage data, and ships self-healing pipelines plus AI “coaches” that score and raise maturity. Code provenance, fingerprinting and versioning govern models and open source; 51% of developer time now goes to reviewing AI-generated code. ROI targets hit about 1:5 within 12–18 months. Claim: by around 2030 agents will handle vague, architect-level tasks if governance and brakes scale with autonomy.
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chapters (10)
- 0:00Introduction and speaker background
- 1:13AI agents in software pipelines
- 6:48Infosys Development Platform overview
- 10:43Evolution of IDP from build automation
- 12:30Governance for open source dependencies
- 16:04AI-generated code quality and security
- 21:22Measuring ROI on AI and DevSecOps
- 24:56Governing AI models in supply chains
- 28:44Key advice for AI adoption at scale
- 29:47Lessons learned and closing remarks
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