Captain Stack
GitHub Copilot
TabNine
Amazon CodeWhisperer
Visual Studio IntelliCode
GPT-Code-Clippy
Kite
Second Mate
Codex by OpenAI
GitHub Copilot
TabNine
Kite
Visual Studio IntelliCode
Codota
GitHub Student Developer Pack
OpenAI
Codex by OpenAINo Codex by OpenAI videos yet. You could help us improve this page by suggesting one.
Based on our record, Codex by OpenAI seems to be a lot more popular than Captain Stack. While we know about 69 links to Codex by OpenAI, we've tracked only 2 mentions of Captain Stack. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I caught up with Hieu Nguyen (@hieunc) of ishim, Rebit, Captain Stack, and more. He told me exactly how he made his first sale for ishim within five days of kicking off development, and another $1K+ within a month. Source: 11 months ago
In fact, many have pointed out that Copilot’s process of looking up code based on its expected constraints is similar to one that a developer might experience by searching StackOverflow for code snippets. Funnily, some thought the idea so similar they decided to build an alternative VSCode plugin to Copilot that simply looks up StackOverflow answers as suggestions. - Source: dev.to / about 2 years ago
> it would need some human touch but most of the work will be done already By that very loose standard, the matter of time is 2 years 6 months 18 days ago — August 10, 2021 was OpenAI's blog post about the Codex model, with a chat interface producing functional JavaScript: https://openai.com/blog/openai-codex Right now, what I see coming out of these tools (and what I see in the jobs market) gives me the... - Source: Hacker News / 2 months ago
- Then there's this live demo of OpenAI's Codex but it's not an AI OS like the pin. It does something much better... It creates a script based on what you voice command it to do. So it basically translates that whatever you want into the code to execute that what you said. > However... "As of March 2023, the Codex Models are now deprecated. Please check out our newer Chat models which are able to do many... Source: 6 months ago
Footnote 1 on page 2 explicitly mentions the 3.5 model and the research in this paper is only about auto completion: https://arxiv.org/pdf/2306.15033.pdf And this blog post states “beyond Codex”, again for auto completion: https://github.blog/2023-07-28-smarter-more-efficient-coding-github-copilot-goes-beyond-codex-with-improved-ai-model/ Lastly, OpenAI states on the original Codex page: “OpenAI Codex is a... - Source: Hacker News / 7 months ago
As someone who constantly searches for ways to improve personal coding performance and performance of my development teams, I have been experimenting a lot with AI driven utilities that might assist developers in writing code. TabNine, ChatGPT 3 & 4 and, finally, GitHub Copilot that wraps a special version of OpenAI's CodeX in a tool that is easy-to-integrate with modern IDEs. - Source: dev.to / 7 months ago
They all work off of https://openai.com/blog/openai-codex. Source: 11 months ago
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
TabNine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.
Amazon CodeWhisperer - Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE).
Kite - Kite helps you write code faster by bringing the web's programming knowledge into your editor.
Visual Studio IntelliCode - Visual Studio IntelliCode is an experimental set of AI-assisted development capabilities for next-generation developer productivity.
GPT-Code-Clippy - GPT-Code-Clippy (GPT-CC) is an open source version of GitHub Copilot, a language model -- based on GPT-3, called GPT-Codex -- that is fine-tuned on publicly available code from GitHub.