A Private Chef's Table: Your Agents Are Intelligent, Is Your SDLC?
What to expect
This is an intimate executive dinner, not a panel or product pitch.
We’ll bring together a small group of engineering, platform, security, technology leaders and investors for an off-the-record conversation about what changes when AI moves from assisting developers to participating directly in software delivery.
The discussion may start with practical questions teams are now facing: how review changes when code volume rises, where context gets lost across the SDLC, but then move towards discussing what trustworthy autonomy looks like in production, and what operating model will make autonomous software development a reality.
Attendance will be capped to keep the conversation candid and useful.
Who it’s for
Senior technology leaders responsible for building, securing, or operating modern software platforms and investors who have vested interest in fostering eco-system of products in this domain.
This gathering is best suited for leaders actively evaluating or deploying coding agents, AI-native release workflows, or autonomous software-delivery capabilities.
What you’ll leave with
A clearer view of how peers are approaching AI adoption across engineering and the emerging operating model around:
Context, provenance, and accountability
Explainability of AI generated code
Engineering productivity and release confidence
The path from AI experimentation to trusted enterprise-scale outcomes
You’ll also leave with new relationships and an opportunity to compare notes with leaders working through similar decisions without the noise of a large conference setting.
The dinner
A private, hosted dinner with curated introductions, a short opening perspective, and a guided but informal conversation over dinner. This will be not just another dinner, but curated by celebrated chef at her specially designed Studio in Indiranagar.
No presentations. No sales pitches. Just thoughtful discussion with a small group of peers.
Hosts
CognitivTrust is building the trust intelligence layer for the agentic software-development lifecycle helping organizations preserve context, verify outcomes, and make AI-assisted software delivery understandable and accountable at scale.