Software Alternatives, Accelerators & Startups

Harness VS Codex by OpenAI

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

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Harness logo Harness

Automated Tests For Your Web App

Codex by OpenAI logo Codex by OpenAI

AI that writes the code for you
  • Harness Landing page
    Landing page //
    2023-07-24
  • Codex by OpenAI Landing page
    Landing page //
    2023-05-19

Harness

Website
harness.io
Release Date
2016 January
Startup details
Country
United States
State
California
Founder(s)
Jyoti Bansal
Employees
250 - 499

Harness features and specs

  • Continuous Delivery Automation
    Harness provides robust continuous delivery automation, allowing teams to automate deployment processes, reduce errors, and improve the speed of releasing software.
  • Finance Efficiency
    Harness includes a cost management feature that helps organizations control cloud infrastructure costs by providing insights and optimizing resource usage.
  • Simplified CI/CD Pipelines
    It offers simplified CI/CD pipeline creation with an easy-to-use interface, which reduces the complexity and time required to set up these processes.
  • Advanced Security Features
    Integrates advanced security features, such as vulnerability scanning and role-based access control, ensuring that deployments meet security compliance requirements.
  • Smart Rollbacks
    Harness has the capability of smart rollbacks that enable teams to automatically revert to a stable version if a new deployment faces issues, minimizing downtime.

Possible disadvantages of Harness

  • Learning Curve
    There can be a significant learning curve for teams new to Harness, as understanding its full capabilities and integrating it into existing workflows can take time.
  • Cost
    Harness might represent a higher cost than some other CI/CD tools, which can be a concern for smaller businesses or teams with tighter budgets.
  • Complex Configurations
    Some users report that setting up complex configurations can require advanced technical expertise, potentially necessitating additional training or hiring.
  • Integration Limitations
    Although Harness integrates with various tools, there can be limitations or complexities in configuring and maintaining these integrations, especially with less common tools.
  • Dependence on Internet Connectivity
    As a cloud-based solution, Harness requires reliable internet connectivity, which might pose challenges for teams with unstable internet connections or strict data residency requirements.

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

Harness videos

How to FIT & CHOOSE a CLIMBING HARNESS w/ Black Diamond! VLOG

More videos:

  • Review - Best Climbing Harnesses - Top 7 Climbing Harness Reviews
  • Review - Best Dog Harness in 2019 - Top 5 Dog Harness Review

Codex by OpenAI videos

No Codex by OpenAI videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Harness and Codex by OpenAI)
DevOps Tools
100 100%
0% 0
Developer Tools
0 0%
100% 100
Cloud Computing
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

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

Harness 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 should be more popular than Harness. 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.

Harness mentions (15)

  • DevOps in 2025: the future is automated, git-ified, and kinda scary but fun.
    Harness — AI-powered delivery pipelines. - Source: dev.to / about 1 month ago
  • Best CI/CD for AWS services?
    Can check out our products at harness.io. Source: almost 2 years ago
  • How we moved from Artifactory and saved $200k p.a. Part 3 of 5 - The future is Advanced Artefacts
    Harness is our Continuous Delivery (CD) tool of choice. It provides a flexible template engine, that we were able to utilise to create templates that could be reused across our teams. - Source: dev.to / over 2 years ago
  • How to Install Drone CI Server in Kubernetes
    Drone by Harness is a continuous integration service that enables you to conveniently set up projects to automatically build, test, and deploy as you make changes to your code. Drone integrates seamlessly with Github, Bitbucket and Google Code as well as third party services such as Heroku, Dotcloud, Google AppEngine and more. - Source: dev.to / almost 3 years ago
  • Harness
    Does anyone have any opinion about the DevOps company Harness - harness.io? (they also have a defunct sub r/Harnessio/). How is the pay in India (Glassdoor and AmbitionBox gives very different figures). How is the work-life balance? In Glassdoor, it doesn't look good at all. If you are a current or ex-employee, would you advise rather to not join it? Source: almost 3 years ago
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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 / 30 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 Harness and Codex by OpenAI, you can also consider the following products

Deployment.io - Deployment.io makes it super easy for startups and agile engineering teams to automate application deployments on AWS cloud.

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

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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

GitHub Actions - Automate your workflow from idea to production

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