The Stack Overflow Podcast One thing enterprise AI projects need to succeed? Community.
14 snips
Nov 13, 2025 Ramprasad Rai, VP of Platform Engineering at JPMorgan Chase & Co., dives into the challenges of deploying AI in regulated environments. He emphasizes the necessity of community-driven knowledge to ground AI tools, preventing hallucinations that arise from a lack of context. Rai discusses how Stack Overflow's structured Q&A can finely tune AI models and foster trust in generated code. He highlights the importance of active learning loops to maintain institutional expertise and the potential of Stack Overflow as a vital knowledge layer for AI-driven developer tools.
AI Snips
Chapters
Transcript
Episode notes
VP Of Platform Engineering At JPMorgan
- Ramprasad Rai described his role leading platform architecture and developer experience at JPMorgan digital banking.
- He emphasized his focus on regulated environments, reliability, and LLM applications.
Trust Gradient Between Deterministic Tools And AI
- Enterprises must balance deterministic controls for critical infrastructure with AI-driven productivity for general code.
- Grounding AI in internal, community-vetted knowledge creates a trust gradient that enables safe AI use.
Ground AI Responses In Internal Knowledge
- Fill AI's context gaps by letting it query organizational knowledge before answering sensitive questions.
- Use community-validated references so reviewers see evidence, reasoning, and discussion behind suggestions.