I can import my entire codebase to Gemini and get more than a nuanced similarity score in terms of agent guidance.
What’s the differentiator or plan for arbitrary query matching?
Latency? If you think about it - not really a huge issue. Spend 20s-1M mapping an entire plan with Gemini for a feature.
Pass that to Claude Code.
At this point you want non-disruptive context moving forward and presumably any new findings would only be redundant with what is in long context already.
Agentic discovery is fairly powerful even without any augmentations. I think Claude Code devs abandoned early embedding architectures.
What’s the differentiator or plan for arbitrary query matching?
Latency? If you think about it - not really a huge issue. Spend 20s-1M mapping an entire plan with Gemini for a feature.
Pass that to Claude Code.
At this point you want non-disruptive context moving forward and presumably any new findings would only be redundant with what is in long context already.
Agentic discovery is fairly powerful even without any augmentations. I think Claude Code devs abandoned early embedding architectures.