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TermHere VS Codex by OpenAI

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

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TermHere logo TermHere

“Open Terminal Here” shortcut for Finder

Codex by OpenAI logo Codex by OpenAI

AI that writes the code for you
  • TermHere Landing page
    Landing page //
    2019-08-04
  • Codex by OpenAI Landing page
    Landing page //
    2023-05-19

TermHere features and specs

  • Integration
    TermHere integrates seamlessly with Finder, providing a convenient context menu option to open the Terminal directly in the folder you are browsing.
  • Efficiency
    The app enhances productivity by eliminating the need to manually navigate to directories within the Terminal.
  • Ease of Use
    Users can quickly access Terminal without needing to input any additional commands, making it user-friendly even for those less familiar with command-line interfaces.
  • Customization
    Offers customization options to fit different user preferences and workflows, such as choosing which terminal to open.

Possible disadvantages of TermHere

  • Compatibility
    May not be compatible with all versions of macOS or may require specific system settings to function properly.
  • Limited Functionality
    Primarily focused on opening Terminal in a specific directory, lacking broader features found in full-fledged terminal applications.
  • Dependency
    Dependent on Finder integration, meaning it may not work well with other file management solutions.
  • Learning Curve
    While designed to be simple, new users might still face a learning curve when customizing or managing its settings effectively.

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.

Analysis of Codex by OpenAI

Overall verdict

  • 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.

Why this product is good

  • Codex by OpenAI is designed as a powerful AI model for understanding and generating human-like text. It is a successor to GPT-3 with specialized capabilities in understanding and writing code, making it well-suited for programming-related tasks. Codex can assist developers by auto-completing code snippets, offering code suggestions, and helping with language interpretation across different programming languages.

Recommended for

  • Software developers seeking coding efficiency
  • Programmers looking for code suggestions
  • Individuals learning to code
  • Developer teams aiming to streamline their workflow
  • Data scientists requiring quick script and data analysis tool generation

Category Popularity

0-100% (relative to TermHere and Codex by OpenAI)

TermHere

Codex by OpenAI

Developer Tools
23 23%
Developer Tools
77% 77
Productivity
38 38%
Productivity
62% 62
AI
0 0%
AI
100% 100
Terminal Tools
100 100%
Terminal Tools
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 TermHere and Codex by OpenAI

TermHere Reviews

We have no reviews of TermHere yet.
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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 more popular. It has been mentiond 73 times since March 2021. 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.

TermHere mentions (0)

We have not tracked any mentions of TermHere yet. Tracking of TermHere recommendations started around Mar 2021.

Codex by OpenAI mentions (73)

  • OpenAI Codex Review
    > 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 / 26 days ago
  • 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 / 2 months 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 / 5 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 / about 1 year 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 / over 1 year ago
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What are some alternatives?

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

Fig - Fast, isolated development environments using Docker.

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

Shell Notebook - MacOS Terminal, reimagined

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

Teleconsole - Teleconsole is a free service to share your terminal session with people you trust.

Kite - Kite helps you write code faster by bringing the web's programming knowledge into your editor.

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