Hey! I really see the power in Zed and the extensibility and simplicity. Great approach.
I posted this above, but want you to see it:
Two areas where I think Zed might fall behind: Cursor Tab is REALLY good and probably requires some finetuning/ML chops and some boutique training data.
For composer, there's going to be more use of "shadow workspace" https://www.cursor.com/blog/shadow-workspace to create an agentic feedback loop/ objective function for codegen, along with an ability to navigate the language server and look up definitions and just generally have full context like an engineer
Also, cursor has a model agnostic apply model, whereas you all are leaning on claude.
Any plans to address this from the core team or more of a community thing? I think some of this might be a heavy lift
I really like the shared context idea, and the transparency and building primitives for an ecosystem
Two areas where I think Zed might fall behind: Cursor Tab is REALLY good and probably requires some finetuning/ML chops and some boutique training data.
For composer, there's going to be more use of "shadow workspace" https://www.cursor.com/blog/shadow-workspace to create an agentic feedback loop/ objective function for codegen along with an ability to navigate the language server and look up definitions and just generally have full context like an engineer. Are there plans for the same in zed?
Also, cursor has a model agnostic apply model, whereas you all are leaning on claude.
I think Zed is starting with a more transparent elegant foundations and then they'll build in more optional magic from there. For example, they're working on automatic codebase RAG
You can't legally practice as a primary care physician without one year of internship, after which you get unrestricted licensed. If you're unmatched, no internship. Is that not correct?
Why have residency spots shrunk per capita? Why do unmatched grads have to work at mcdonalds but NP's and PA's can practice with more latitude than some residents?
Sorry. I have a brilliant, extremely driven friend who did undergrad at an ivy. After getting covid, She had to drop out of her grad school program and her new life is a shell compared to what it used to be like. 2 years later, and there's a tiny fraction of improvement which she attributes to extreme rest. I forward her literature about emerging LC treatments and mechanisms of which her physicians are laughably ignorant.
But it's still not comparable to GPT 4, nor will it likely be for some time at least. And by the time we have GPT 4 class open source models, I'd imagine there'd be significant advancements in closed source models, such as inference time symbolic reasoning using MCTS, something google is working on for gemini...or just bigger/better architectures, data etc