Skip to main content

Running a fully local AI Code Assistant with Continue–Part 6–Troubleshooting

In a previous posted I introduced you to Continue in combination with Ollama, as a way to run a fully local AI Code Assistant.

Remark: This post is part of a bigger series. Here are the other related posts:

Although Continue really looks promising, I stumbled on some hurdles along the way. Here are some tips in case you encounter issues:

Tip 1 - Check the Continue logs

My first tip is to always check the logs. Continue provides good logging inside the IDE, So go to the output tab and switch to the Continue source to get the generated output:


Tip 2 – Check the Continue LLM logs

Next to the output of Continue itself, you can find all the LLM specific logs in the Continue LLM Prompt/Conversation output. So don’t forget to check that output as well:

Tip 3 – Be patient

When executing a heavy operation, like for example indexing a documentation website, be aware that this can take some time. While such a heavy operation is in progress, continue doesn’t give much feedback what could make you think that the action failed.

So be patient and just wait a little longer…

Tip 4 – A restart can help

While using Continue I noticed that a change didn’t immediately had effect. For example, adding a new document source or adding a new custom command. In that case, just restarting VS Code helped a few times.

So give it a try…

Tip 5 – Check the config.json file

There are a lot of things that can be configured and tweaked inside Continue.

So the config.json file is the go to place. Therefore hit ctrl+shift+p and choose Continue: open config.json.

 

Now you can see all the configuration details and start tweaking them(don’t forget tip 4 and restart VS Code after doing your changes).

Tip 6 – Use the Developer Console to get more details

As a last resort, you can check the developer console logs of VSCode. Therefore hit ctrl+shift+p and choose Developer: Toggle Developer Tools.

Here you can go to the console tab and view all the log messages:

Remark: Change the log level to Verbose by clicking the dropdown at the top that says "Default levels" and select "Verbose".

Hope that helps!

More information

Troubleshooting | Continue

config.json Reference | Continue

Popular posts from this blog

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.

Kubernetes–Limit your environmental impact

Reducing the carbon footprint and CO2 emission of our (cloud) workloads, is a responsibility of all of us. If you are running a Kubernetes cluster, have a look at Kube-Green . kube-green is a simple Kubernetes operator that automatically shuts down (some of) your pods when you don't need them. A single pod produces about 11 Kg CO2eq per year( here the calculation). Reason enough to give it a try! Installing kube-green in your cluster The easiest way to install the operator in your cluster is through kubectl. We first need to install a cert-manager: kubectl apply -f https://github.com/cert-manager/cert-manager/releases/download/v1.14.5/cert-manager.yaml Remark: Wait a minute before you continue as it can take some time before the cert-manager is up & running inside your cluster. Now we can install the kube-green operator: kubectl apply -f https://github.com/kube-green/kube-green/releases/latest/download/kube-green.yaml Now in the namespace where we want t...

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...