Agentic Debugging allows you to delegate debugging tasks to an AI agent that uses contextual data, integrated tools, and reasoning to:
Agentic Debugging can be triggered in two ways:
Scenario | Behavior |
---|---|
No integrations connected | The agent provides general debugging guidance—questions to ask, commands to run, and logs to inspect manually. |
Integrations connected | The agent actively runs queries and fetches data (e.g., logs, metrics, infra info), uses that to reason, and then shares the diagnosis and remediation suggestions. |
For example, if a Kubernetes pod is CrashLooping, and you have observability integrations configured:
Agentic Debugging allows you to delegate debugging tasks to an AI agent that uses contextual data, integrated tools, and reasoning to:
Agentic Debugging can be triggered in two ways:
Scenario | Behavior |
---|---|
No integrations connected | The agent provides general debugging guidance—questions to ask, commands to run, and logs to inspect manually. |
Integrations connected | The agent actively runs queries and fetches data (e.g., logs, metrics, infra info), uses that to reason, and then shares the diagnosis and remediation suggestions. |
For example, if a Kubernetes pod is CrashLooping, and you have observability integrations configured: