- We don’t just stream raw logs/traces into an LLM, we build execution trees and correlate data across services and threads. That gives our agent causal context, not just pattern matching.
- It’s designed to debug real issues in production, where things are messy, not just dev or staging.
- We are aiming for automatic bug detection and remediation soon, not just copiloting, but a debugging agent that can spot regressions and trigger fixes proactively.
- We are working on persist historical incidents, fixes, and infra quirks, so the agent improves with each investigation, and doesn’t start from scratch every time.
Happy to dive deeper! Let me know if you have more questions.
xinweihe|7 months ago
- We don’t just stream raw logs/traces into an LLM, we build execution trees and correlate data across services and threads. That gives our agent causal context, not just pattern matching.
- It’s designed to debug real issues in production, where things are messy, not just dev or staging.
- We are aiming for automatic bug detection and remediation soon, not just copiloting, but a debugging agent that can spot regressions and trigger fixes proactively.
- We are working on persist historical incidents, fixes, and infra quirks, so the agent improves with each investigation, and doesn’t start from scratch every time.
Happy to dive deeper! Let me know if you have more questions.
sand_9999|7 months ago
I saw your video...and I see that it makes things easy to understand (in right panel) at any node.