Go explained: a practical look at customisation

[lukeonnorth]

When working with Go, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment.

One important area is customisation. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome.

Another area is useful tools. Keep examples of both strong and weak outputs, check important facts or generated code independently, and document settings that produce consistent results.

The main takeaway is that Go becomes much more reliable when the workflow includes clear inputs, repeatable checks, and a way to learn from previous results.

 

[leahtherunner]

For Go explained: a practical look at customisation, I would separate the problem into setup, output quality and repeatability. customisation and repeatable fits into that because it can change the result quite a lot depending on the workflow. That should make it easier to tell whether the change is actually helping.