Software Alternatives, Accelerators & Startups

Deployment.io VS Visual Studio IntelliCode

Compare Deployment.io VS Visual Studio IntelliCode and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Deployment.io logo Deployment.io

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

Visual Studio IntelliCode logo Visual Studio IntelliCode

Visual Studio IntelliCode is an experimental set of AI-assisted development capabilities for next-generation developer productivity.
  • Deployment.io deployment home
    deployment home //
    2024-03-23
  • Deployment.io deployment repositories
    deployment repositories //
    2024-03-23
  • Deployment.io deployment environments
    deployment environments //
    2024-03-23
  • Deployment.io deployment deployments
    deployment deployments //
    2024-03-23

Deployment simplifies continuous code integration and delivery automation for startups and agile engineering teams on the AWS cloud, eliminating the need for DevOps engineering. A developer can deploy static sites, web services, and environments without knowledge of AWS or DevOps. Deployment supports previews on pull requests and automatic deployments on code push without manual setup or scripting. It enables engineering teams to focus on tasks that add customer value instead of worrying about DevOps-related grunt work.

  • Visual Studio IntelliCode Landing page
    Landing page //
    2023-02-23

Deployment.io features and specs

  • Automatic Deployments
    Automated deployments to AWS cloud
  • Previews
    Previews deployed to AWS on pull requests
  • Slack Alerts
    Slack alerts for for any updates to deployments
  • Unlimited static sites
    Deploy static sites with one click without any AWS setup
  • Unlimited web services
    Deploy web services and backend APIs without any AWS setup
  • Unlimited environments
    Create development, staging, and production environments on the fly on your AWS account
  • Unlimited repositories
    Connect your GitHub and GitLab repositories for automated CI/CD

Visual Studio IntelliCode features and specs

  • Intelligent Code Recommendations
    IntelliCode uses machine learning models trained on open-source GitHub projects to provide contextual code recommendations, helping developers write better code faster.
  • Custom Models for Teams
    Teams can train their own models based on their codebase, enhancing the relevance of IntelliCode's suggestions and ensuring they conform to the team's coding standards and practices.
  • Improved Code Quality
    By suggesting best practices and common code patterns, IntelliCode aids in maintaining high code quality and consistency across projects.
  • Supports Multiple Languages
    IntelliCode supports a wide range of programming languages, including Python, Java, JavaScript, and more, making it versatile for different types of projects.
  • Code Completion and Refactoring Assistance
    It provides intelligent code completions and helps with code refactoring tasks, making the development process more efficient and less error-prone.

Possible disadvantages of Visual Studio IntelliCode

  • Limited Training Data
    The effectiveness of IntelliCode's suggestions depends on the quality and breadth of the training data. For very unique or proprietary codebases, the recommendations may not be as relevant.
  • Dependency on Visual Studio
    IntelliCode is integrated with Visual Studio, so developers using other IDEs might not be able to benefit from its features unless they switch to Visual Studio.
  • Resource Intensive
    Running IntelliCode, especially with custom models, can be resource-intensive, potentially impacting the performance of the development environment.
  • Privacy Concerns
    Using custom models might raise privacy concerns as code from the team’s repository could be used to train the AI, potentially exposing sensitive information.
  • Learning Curve
    There might be a slight learning curve for new users to understand and effectively use the recommendations provided by IntelliCode.

Deployment.io videos

Deploying a Golang API on AWS using deployment.io

Visual Studio IntelliCode videos

Visual Studio IntelliCode

More videos:

  • Review - Visual Studio IntelliCode -- AI meets IntelliSense!

Category Popularity

0-100% (relative to Deployment.io and Visual Studio IntelliCode)
DevOps Tools
100 100%
0% 0
AI
0 0%
100% 100
Cloud Computing
100 100%
0% 0
Developer Tools
0 0%
100% 100

Questions and Answers

As answered by people managing Deployment.io and Visual Studio IntelliCode.

What's the story behind your product?

Deployment.io's answer

I led engineering teams at early-stage startups and realized that startups waste 70% of valuable engineering time on tedious, non-coding tasks that they can easily automate.

To solve this problem, we've built Deployment.io so engineering teams at startups can focus on writing more code that adds value and helps them achieve PMF faster.

Which are the primary technologies used for building your product?

Deployment.io's answer

ReactJs using Typescript, GatsbyJs using Typescript, GoLang, and AWS

What makes your product unique?

Deployment.io's answer

Deployment.io is built and designed for startups. Our customers can onboard in 5 minutes and start deploying apps to AWS without any DevOps or AWS knowledge. Other platforms are complex and require scripting or DevOps knowledge. They are built for bigger companies with a lot of resources.

Why should a person choose your product over its competitors?

Deployment.io's answer

Startups and agile engineering teams should choose Deployment.io for the simplicity and ease of use. Our competitors are complex and are designed for bigger companies.

How would you describe your primary audience?

Deployment.io's answer

For startups, speed and focus are crucial. Our primary audience is engineering teams at startups that want to focus on building code that adds value and not on DevOps related grunt work.

User comments

Share your experience with using Deployment.io and Visual Studio IntelliCode. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Deployment.io and Visual Studio IntelliCode

Deployment.io Reviews

  1. Super easy deployments to AWS

    Deploying web apps on AWS has never been this easy and it also takes care of scaling based on usage.

Visual Studio IntelliCode Reviews

Top 10 Vercel v0 Open Source Alternatives | Medium
While not entirely open-source, Microsoft’s IntelliCode deserves a mention on this list due to its powerful AI-assisted coding capabilities and integration with popular development tools. IntelliCode uses machine learning to provide intelligent code completions and suggestions.
Source: medium.com
10 Best Github Copilot Alternatives in 2024
Some of the best free GitHub Copilot alternatives are Kite, Codeium, and IntelliCode. These tools offer AI-powered code completions without costing you anything. They help you write code faster and are great options if you’re looking for a Copilot alternative free of charge.
6 GitHub Copilot Alternatives You Should Know
Visual Studio IntelliCode is an extension for Visual Studio and Visual Studio Code that provides AI-assisted code completions and recommendations. IntelliCode is based on the previous generation of machine learning techniques, so it provides a more basic level of code completion compared to other tools. One of its key features is the ability to learn patterns from the...
Source: swimm.io
Top 10 GitHub Copilot Alternatives
A Microsoft tool exclusively accessible through Visual Studio, IntelliCode is an experimental AI coding assistance trained on a sample of GitHub projects. Your completion list is prioritized by IntelliCode so that the items you’re most likely to utilize are at the front.
Source: hashdork.com
Top 9 GitHub Copilot alternatives to try in 2022 (free and paid)
IntelliCode is an experimental AI coding assistant trained on a subset of GitHub projects, a Microsoft product available for Visual Studio only. One of the more attractive features of IntelliCode is team completion. Team completion may prove beneficial for organizations with a Microsoft-based architecture and developers accustomed to Visual Studio in an age of remote...
Source: www.tabnine.com

Social recommendations and mentions

Based on our record, Visual Studio IntelliCode seems to be a lot more popular than Deployment.io. While we know about 11 links to Visual Studio IntelliCode, we've tracked only 1 mention of Deployment.io. 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.

Deployment.io mentions (1)

  • Easily automate Rust web service deployments on AWS without DevOps
    Deployment.io is an AI-powered, self-serve developer platform that simplifies deployment of complex backend services on AWS. - Source: dev.to / 7 months ago

Visual Studio IntelliCode mentions (11)

  • 🎈5 AI Coding Tools That Will Change the Way You Develop Forever🎇(You Won't Believe #3!)
    IntelliCode is Microsoft’s own AI-powered code completion tool, and it integrates seamlessly with Visual Studio and Visual Studio Code. With IntelliCode, developers get context-aware suggestions based on a vast number of GitHub repositories, allowing them to write more efficient and error-free code. - Source: dev.to / 4 months ago
  • Beware the Mid-Career Crisis for Programmers: The Four Major Causes
    Visual Studio IntelliCode is an intelligent code editor that offers efficient and personalized code completion suggestions based on context and your coding habits, making coding smoother. - Source: dev.to / about 1 year ago
  • 6 AI tool that you should use as a developer
    IntelliCode is a machine learning-powered intelligent code assistant that significantly boosts developer productivity. IntelliCode suggests context-aware code completions by analyzing millions of lines of code from various open-source projects, making coding faster and more efficient. Its advanced algorithms recognize coding patterns and make intelligent suggestions, saving developers time and reducing errors.... - Source: dev.to / almost 2 years ago
  • Rider: Refact vs CoPilot
    OP is referring to IntelliCode. It's a step beyond IntelliSense, but I agree with other posts here: you should be really sure you're not leaking business code this way or implement code from sources you didn't approve yourself. Source: about 2 years ago
  • GitHub Copilot X: The AI-powered developer experience
    You might be thinking of IntelliCode, which was released in 2019. https://visualstudio.microsoft.com/services/intellicode/. - Source: Hacker News / about 2 years ago
View more

What are some alternatives?

When comparing Deployment.io and Visual Studio IntelliCode, you can also consider the following products

Harness - Automated Tests For Your Web App

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

Codeium - Free AI-powered code completion for *everyone*, *everywhere*