Table of contents
Code Generation
OpenAI Codex can generate code snippets based on natural language prompts, saving time for developers and enhancing productivity.
Language Versatility
It supports multiple programming languages, allowing developers to work in a variety of coding environments.
Learning Tool
Codex serves as an educational tool, helping new programmers understand coding concepts by providing instant code examples.
Debugging Assistance
Codex can assist in debugging by providing possible corrections and optimizations for existing code.
Integration Friendly
It can be integrated into various IDEs and development tools, making it accessible directly within a developer’s workflow.
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Codex is generally considered good, especially for its specific applications in coding and software development. Its ability to streamline coding tasks and provide intelligent code assistance makes it a valuable tool for developers looking to enhance productivity and accuracy.
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The latest comments about Codex by OpenAI on Reddit. This can help you find out how popualr the product is and what people think about it.
> incorrect, its an o3 finetune. This is Open AI's fault (and literally every AI company is guilty of the same horrid naming schemes). Codex was an old model based on GPT-3, but then they reused the same name for both their Codex CLI and this Codex tool... I mean, just look at the updates to their own blog post, I can see why people are confused. https://openai.com/index/openai-codex/. - Source: Hacker News / 28 days ago
The big step function here seems to be RL on tool calling. Claude 3.7/3.5 are the only models that seem to be able to handle "pure agent" usecases well (agent in a loop, not in an agentic workflow scaffold[0]). OpenAI has made a bet on reasoning models as the core to a purely agentic loop, but it hasn't worked particularly well yet (in my own tests, though folks have hacked a Claude Code workaround[1]). o3-mini... - Source: Hacker News / 2 months ago
Fine-tuning based learning (pre-trained optimization). For example, a language model (e.g., OpenAI Codex) fine-tuned for the software development tasks. - Source: dev.to / 5 months ago
> there's no CodeGPT, its just GPT4 Codex[1] is OpenAI's CodeGPT. It's what powers GitHub Copilot and it is very good but not publicly accessible. Maybe they don't want something else to outcompete Copilot. [1] https://openai.com/index/openai-codex/. - Source: Hacker News / about 1 year 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 / over 1 year 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: over 1 year 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 / over 1 year 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 / over 1 year ago
They all work off of https://openai.com/blog/openai-codex. Source: about 2 years ago
GitHub Copilot is just one of the generative AI tools that have taken the world by storm. If you’re a developer and haven’t heard of it, Copilot is an “AI-pair programmer.” It auto-completes code, boosts developer productivity, and eliminates bottlenecks and mundane coding tasks. Copilot helps developers get out of the weeds and become more creative, thereby building better software. GitHub Copilot uses OpenAI's... - Source: dev.to / about 2 years ago
I've considered using other AI tools, such as Google's TensorFlow or OpenAI's Codex, which are also powerful and popular in the industry. However, I'm not sure if they will be the right fit for my specific needs. Source: about 2 years ago
I’ve heard of tools like the OpenAI Codex Playground where I can experiment with the OpenAI API but I think that uses tokens and at some point I have to pay? I also heard of PromptEngine (although I don’t have a github account yet) and PromptPerfect which I think are both tools that are designed to help you optimize your prompts for AI-generated content. Source: about 2 years ago
Seems like Codex api is used in Github copilot https://openai.com/blog/openai-codex ; from their page, we are seriously worried about losing the tab completions features of codex api we have come to rely on in the excellent Github Copilot for neovim in our team >> Codex is the model that powers GitHub Copilot, which we built and launched in partnership with GitHub a month ago. Proficient in more than a dozen... - Source: Hacker News / about 2 years ago
The original was mostly trained on Python[1], but JS seems a close second. So I assume python has the highest quality. If you don't specify a language, it seems pick either of these. [1] https://openai.com/blog/openai-codex. - Source: Hacker News / over 2 years ago
OpenAI is currently working on an AI that could certainly replace some: Https://openai.com/blog/openai-codex. Source: over 2 years ago
The codex models are free during the beta https://openai.com/blog/openai-codex. Source: over 2 years ago
Do you have the source code? COBOL isn't terribly difficult to read for both machines or people and you could run it through something like Codex that could convert it (kinda, sorta) into Javascript or Python. Source: over 2 years ago
It's not guarantee for working code, since white often it just makes some stuff up since it's a chat LLM, not a specific Coding LLM. There are coding Llama like Codex from OpenAI (https://openai.com/blog/openai-codex/) Or CoPilot from GitHub Https://docs.github.com/en/copilot/quickstart. Source: over 2 years ago
Yes, but an ai built for coding, such as Codex, would be better for coding things than an ai for general purpose. Source: over 2 years ago
ChatGPT is built upon the GPT-3 language models, including Codex, which, as you may or may not know, is intended to output working code. Source: over 2 years ago
It's a sobering thought. But even before comforting ourselves by considering all the aspects of our job that an AI couldn't do (like clarifying requirements between multiple stakeholders, managing projects, or handling production issues), let's take a look at how good a job AI can actually do at coding. Specifically, let's see how well GitHub Copilot, a generative AI model powered by OpenAI's Codex, does at... - Source: dev.to / over 2 years ago
OpenAI Codex has garnered significant attention as a potent AI model developed to generate code from natural language inputs. Positioned within the Developer Tools and AI categories, Codex stands alongside competitors like GitHub Copilot, Tabnine, and Visual Studio IntelliCode, among others. Here is a summary of the public opinion and recent discussions surrounding OpenAI Codex, based on the available context.
Codex is largely recognized for its ability to facilitate AI-assisted coding, contributing to efficiency and productivity for developers. The model is often linked with GitHub Copilot, where it serves as the underlying technology that enables the tool's real-time code completion capabilities. This collaboration has led to a surge of positive experiences for many developers, who appreciate the reduction in mundane coding tasks and the enhanced creativity and focus on solving complex problems.
However, Codex is not without criticism. The naming conventions and versioning of Codex have been points of confusion, with some users expressing dissatisfaction over repeated use of the Codex name for different models and updates. This has led to misunderstanding among users about the exact functionality and evolution of the Codex offerings.
Codex is praised for its proficiency in understanding and translating natural language into code, which is evident in tools like GitHub Copilot. It boasts support across multiple programming languages, which makes it versatile for a wide range of software development tasks. Despite this, some users have observed limitations, particularly when it comes to handling complex tool calling and reasoning tasks, which requires finer tuning and adaptation.
Public discussions indicate that while Codex fundamentally improves developer productivity, there are scenarios where it lags behind human expertise, especially in interpreting high-level project requirements and addressing intricate production issues. Such tasks often necessitate a deeper contextual understanding that AI models like Codex still struggle to replicate fully.
In terms of availability, OpenAI has begun shifting focus from the original Codex API towards newer Chat models that also offer coding assistance. This transition marks the deprecation of the Codex API as of March 2023, highlighting an evolutionary step towards integrating more advanced language models that maintain similar capabilities for coding tasks.
The decision has prompted concern among existing Codex users, particularly regarding the potential loss of features they have grown to depend on. Nonetheless, the integration within platforms, such as GitHub Copilot, ensures continuity in service for many users who continue to enjoy improved workflows.
Public opinion highlights awareness around security implications associated with AI-generated code. Users are increasingly vigilant about potential security vulnerabilities or lapses that could arise from relying too heavily on AI-generated outputs. These concerns underscore the need for careful review and testing of code, even when generated by sophisticated tools like Codex.
In summary, OpenAI Codex is recognized for its transformative role in AI-assisted coding, fostering productivity and innovation within the developer community. Despite some challenges in terms of model transitions and technical limitations, Codex maintains a pivotal place in the realm of AI-driven developer tools, backed by its integration in successful platforms like GitHub Copilot.
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