What works best for me using Claude Code is to let the CC engineer its own context. You need to provide it with tools that it can use to engineer its context. CC comes with a lot of tools already (grep, sed, curl, etc), but for specific domain you may want to add more, e.g., access to a database, a cms, a parser for a bespoke language, etc.

With these i'll mostly just give it questions: what are some approaches to implement x, what are the pros and cons, what libraries are available to handle x? What data would you need to create x screen, or y report? And then let it google it, or run queries on your data.

I'll have it create markdown documents or skills to persist the insights it comes back with that will be useful in the future.

LLMs are pretty good at plan/do/check/act: create a plan (maybe to run a query to see what tables you have in your database), run the query, understand the output, and then determine the next step.

Your main goal should be to enable the PDCA loop of the LLM through tools you provide.