codespin VS openai-python

Shameless plug. I have a VS Code extension that's very nearly ready.

Codespin CLI tools (ready to use): https://github.com/codespin-ai/codespin

VS Code extension for the CLI tool (soon): https://www.youtube.com/watch?v=2TJqosFmkao

I'll do a Show HN in a week or two.

Shameless plug: https://github.com/codespin-ai/codespin-cli

It's similar to aider (which is a great tool btw) in goals, but with a different recipe.

That AI is transformative for development is not in doubt any more. Just this past week, I've been able to build two medium sized services (a couple of thousand lines of code in python, a language I hadn't used for more than a decade!). What's truly impressive is that for the large part, it's better than the code I'd have written anyway. Want a nice README.md? Just provide the source code that contains routes/cli args/whatever, and it'll generate it for you. Want tests? Sure. Developers have never had it so easy.

Another thing to note is that for code generation, GPT4 runs circles around GPT3.5. GPT35 is alright at copying if you provide very tight examples, but GPT4 kinda "thinks".

Shameless plug: I have this open source app which automates a lot of grunt work in prompt generation - https://github.com/codespin-ai/codespin-cli

The ongoing model anchoring/grounding issue likely affects all GPT-4 checkpoints/variants, but is most prominent with the latest "gpt-4-turbo-2024-04-09" variant due to its most recent cutoff date, might imply deeper issues with the current model architecture, or at least how it's been updated:

https://github.com/openai/openai-python/issues/1310

See also the original thread on OpenAI's developer forums (linked on the GitHub issue) with confirmations from others.

A test code snippet is included in the GitHub issue to A/B test the problem yourself with your own questions if need be.

- Iterate on large codebases quickly: we use Rust for maximum performance

GritQL has already been used on thousands of repositories for complex migrations[1] but we're excited to collaborate more with the open source community.

[1] Ex. https://github.com/openai/openai-python/discussions/742

Explore OpenAI and learn how to easily integrate it into your existing application with the OpenAI Python module.

You tried to access openai.Completion, but this is no longer supported in openai>=1.0.0 - see the README at https://github.com/openai/openai-python for the API. You can run `openai migrate` to automatically upgrade your codebase to use the 1.0.0 interface. Alternatively, you can pin your installation to the old version, e.g. `pip install openai==0.28` A detailed migration guide is available here: https://github.com/openai/openai-python/discussions/742

Relatedly, I checked and OpenAI deleted all references to their ChatML spec from their GitHub repo.

This is what it said in an earlier commit: https://github.com/openai/openai-python/blob/2942bf4bb635b1e...

Make sure to install the OpenAI library first. Since I'm using Python, I need

Source: https://github.com/openai/openai-python/discussions/742