Building AI coding tools, there are two common options.
The AI suggests code and you run it. Or the AI runs code on your actual machine. We decided to go with the third option: The AI gets its own computer.
Sandboxed Linux workspaces that CoChat LLMs spin up on demand.
It Write code, installs dependencies, runs tests and start servers.
We are now running an automation that gets triggered every time an error is logged in Grafana Labs, the agent then spins up the workspace to verify and fix the issue before creating a PR and Issue on GitHub. If it had already addressed the issue previously it will just track occurrences.
The AI suggests code and you run it. Or the AI runs code on your actual machine. We decided to go with the third option: The AI gets its own computer.
Sandboxed Linux workspaces that CoChat LLMs spin up on demand. It Write code, installs dependencies, runs tests and start servers.
We are now running an automation that gets triggered every time an error is logged in Grafana Labs, the agent then spins up the workspace to verify and fix the issue before creating a PR and Issue on GitHub. If it had already addressed the issue previously it will just track occurrences.
We get notified on Slack.