Software Alternatives, Accelerators & Startups

ishim VS Codex by OpenAI

Compare ishim VS Codex by OpenAI and see what are their differences

ishim logo ishim

Find the perfect name for your next project

Codex by OpenAI logo Codex by OpenAI

AI that writes the code for you
  • ishim Landing page
    Landing page //
    2023-05-17
  • Codex by OpenAI Landing page
    Landing page //
    2023-05-19

ishim features and specs

No features have been listed yet.

Codex by OpenAI features and specs

  • 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.

Possible disadvantages of Codex by OpenAI

  • Accuracy Issues
    The generated code might not always be accurate or optimized, requiring close scrutiny and modifications by the developers.
  • Dependence on Input Quality
    The quality and clarity of the generated code are highly dependent on the quality and specificity of the input prompts.
  • Limited Context Understanding
    Codex may struggle with understanding complex or context-specific requirements, which can lead to inappropriate code suggestions.
  • Security Risks
    There is a potential risk of generating insecure or vulnerable code, which can be a concern for sensitive applications.
  • Cost
    Depending on the usage model, incorporating Codex into development processes may involve significant costs.

Category Popularity

0-100% (relative to ishim and Codex by OpenAI)
Developer Tools
8 8%
92% 92
Coding
100 100%
0% 0
AI
0 0%
100% 100
GitHub
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ishim and Codex by OpenAI

ishim Reviews

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Codex by OpenAI Reviews

Top 10 Vercel v0 Open Source Alternatives | Medium
Kicking off our list is OpenAI Codex, a powerful AI model that’s capable of generating code based on natural language descriptions. While not a complete platform like Vercel v0, Codex can be integrated into various development environments to provide AI-assisted coding capabilities.
Source: medium.com

Social recommendations and mentions

Based on our record, Codex by OpenAI seems to be a lot more popular than ishim. While we know about 72 links to Codex by OpenAI, we've tracked only 1 mention of ishim. 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.

ishim mentions (1)

Codex by OpenAI mentions (72)

  • OpenAI o3 and o4-mini – OpenAI
    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 / 18 days ago
  • AI Agents — A Software Engineer’s Overview
    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 / 4 months ago
  • Codestral: Mistral's Code Model
    > 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 / 11 months ago
  • Klarna AI assistant handles two-thirds of customer service chats in first month
    > 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 / about 1 year ago
  • Seriously How Far Are We Before We Just Prompt An AI In Any OS to Complete Any Task?
    - 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
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What are some alternatives?

When comparing ishim and Codex by OpenAI, you can also consider the following products

Captain Stack - An open source alternative to GitHub Copilot

GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.

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.

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.

Tabnine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.