It's good for what all other LLMs are good for: semantic search, where the output can be generated texts to help you. But never get wrapped into the illusion that there is actual causal thinking. The thinking is still your responsibility, LLMs are just newer discovery/browsing engines.
There are nascent signs of emergent world models in current LLMs, the problem is that they decohere very quickly due to them lacking any kind of hierarchical long term memory.
A lot of what is structurally important the model knows about your code gets lost whenever the context gets compressed.
Solving this problem will mark the next big leap in agentic coding I think.