
Founded by Max Lu & Lydia Ding
Software engineering has evolved, but on-call hasn’t. Even with the best observability tools, finding the root cause is slow and frustrating: systems grow more complex, documentation becomes scattered, and tribal knowledge gets lost as engineers leave the company.
Companies need a faster, more intelligent way to diagnose and resolve issues.
Lynx is an AI-powered incident resolution platform that allows engineers to easily investigate and resolve issues directly in their development environment.
Check out their product demo!
When incidents arise, Lynx will automatically gather information, pinpoint root causes, and perform actions to help fix the issue. Lynx lives on your dev server, so it can connect with all the tools and integrations in your environment. You can directly run code or execute commands on the Lynx platform in order to resolve your issues.
Lynx Demo - Directly Resolve Incidents
They built out chain-of-thought command execution so Lynx can automatically generate queries step-by-step and retrieve all the context it needs.
Lynx Demo - Chain of Thought Command Execution
They implemented several safeguards to ensure Lynx only executes read-only commands, but if you want a bit more control, you can opt to manually approve each command before it runs:
Lynx Demo - Manual Command Execution
Lynx focuses on helping engineers resolve incidents instead of just managing them.
The team started by building self-hosted, fine-tuned AI coding assistants, but they quickly realized coding was just a fraction of an engineer’s workflow. Teams spend just as much—if not more—time testing, debugging, and deploying.
They saw an opportunity to apply AI beyond generating new code, with on-call standing out as a major pain point. Engineers were losing hours digging through logs, retracing past incidents, and manually correlating data across tools.
Lynx was created to streamline incident resolution, but it goes beyond just on-call incidents. Their vision is to create an AI agent that can understands all the ins and outs of your tech stack so it can predict, investigate, and resolve any technical issue.