Small Talk With Prasun Kumar, CEO and Founder of Oppex AI

Summary

Oppex AI builds AI agents that help developers resolve production incidents by gathering context before the engineer is paged. The agents collect logs, cloud metrics, database health, affected customers, recent code changes, and past incident history, then present a recommendation. Because developer logs are not plain English, the team constructs a knowledge graph of how the entire system connects. They harden the agent by pitting it against a chaos monkey that breaks test systems without revealing the method, forcing the agent to learn. The 15-person team has launched the product with early enterprise customers and aims to bring mean time to resolve under 10 minutes, eventually moving toward autonomous system healing.

Takeaways

1. 1

   Oppex AI’s agent collects logs, cloud metrics, database health, affected customers, recent code changes, and past incident history before waking the developer, providing a contextual recommendation.

2. 2

   The team hardens the agent using a chaos monkey that breaks test systems without revealing the method, forcing the agent to learn through repeated failures in a test environment.

3. 3

   The current workflow is human-in-the-loop; the next goal is AI-recommended, human-approved fixes, and eventually fully autonomous system healing without human intervention.

FAQ