Agents in the database (Interview)

December 18, 2025

82 min episode · 2 min read

Ajay Kulkarni,Kyle Galbraith

Episode

82 min

Read time

2 min

Topics

Software Development, Science & Discovery

AI-Generated Summary

Published Dec 21, 2025

Key Takeaways

✓Founder authenticity: Trust your instincts over external advice - Kulkarni learned that changing his natural communication style (cooperative overlapping) weakened his leadership effectiveness and company culture.
✓Database evolution: The industry shifted from CIO steakhouse deals to developer-driven decisions at their computers, requiring databases to embrace open source, cloud-native, and product-led growth strategies.
✓Agent tooling design: Build CLIs with MCP servers baked in as single binaries - this enables both human command-line usage and agent integration without separate API infrastructure.
✓AI development velocity: Teams can go from idea to shipped product in hours instead of months, with 70% of customer code now written by agents rather than humans.
✓Skills over agents: Focus on building composable, teachable skills that empower developers rather than trying to replace them - skills compound over time and integrate better into workflows.

What It Covers

Ajay Kulkarni traces his journey from IoT startup to Tiger Data CEO, exploring how databases evolved from enterprise sales to product-led growth and introducing agentic Postgres capabilities.

Key Questions Answered

•Founder authenticity: Trust your instincts over external advice - Kulkarni learned that changing his natural communication style (cooperative overlapping) weakened his leadership effectiveness and company culture.
•Database evolution: The industry shifted from CIO steakhouse deals to developer-driven decisions at their computers, requiring databases to embrace open source, cloud-native, and product-led growth strategies.
•Agent tooling design: Build CLIs with MCP servers baked in as single binaries - this enables both human command-line usage and agent integration without separate API infrastructure.
•AI development velocity: Teams can go from idea to shipped product in hours instead of months, with 70% of customer code now written by agents rather than humans.
•Skills over agents: Focus on building composable, teachable skills that empower developers rather than trying to replace them - skills compound over time and integrate better into workflows.

Notable Moment

Kulkarni describes using Claude Code to build a computer vision pushup-tracking mobile app in 45 minutes, recreating the same childlike wonder he felt using the internet for the first time.

Know someone who'd find this useful?