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RAML VS Visual Studio IntelliCode

Compare RAML VS Visual Studio IntelliCode and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

RAML logo RAML

RAML is a solution that manages an API lifecycle from design to sharing.

Visual Studio IntelliCode logo Visual Studio IntelliCode

Visual Studio IntelliCode is an experimental set of AI-assisted development capabilities for next-generation developer productivity.
  • RAML Landing page
    Landing page //
    2023-09-19
  • Visual Studio IntelliCode Landing page
    Landing page //
    2023-02-23

RAML features and specs

  • Human Readability
    RAML (RESTful API Modeling Language) uses a YAML-based syntax which makes it highly readable and easy for developers to understand and write.
  • Reusability
    RAML allows for the reusability of various components like data types, which helps in maintaining consistency across different APIs and reduces redundancy.
  • Modularity
    With RAML, APIs can be divided into modules and fragments, making them easier to manage and update. This also promotes cleaner organization of complex APIs.
  • Documentation Generation
    RAML supports automatic generation of API documentation, which helps in seamlessly updating and maintaining up-to-date documentation for the APIs.
  • Tooling Support
    There is substantial tooling support for RAML, including API design platforms, code generators, and documentation tools, which enhances developer productivity.

Possible disadvantages of RAML

  • Learning Curve
    Developers new to RAML may face a learning curve, especially if they are not familiar with YAML or similar modeling languages.
  • Limited Ecosystem
    Compared to other API description languages like OpenAPI, RAML has a relatively smaller ecosystem of tools and community support.
  • Market Adoption
    RAML is less widely adopted than competing specifications like OpenAPI, which may limit collaboration and job opportunities focusing specifically on RAML.
  • Complexity in Large APIs
    For very large APIs, managing numerous RAML fragments and dependencies can become complex and may require additional overhead to manage effectively.

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.

RAML videos

+ Add

RAML Tutorial

More videos:

  • Review - API Design - Creating Reusable RAML with Mock-Service in 5 Minutes

Visual Studio IntelliCode videos

+ Add

Visual Studio IntelliCode

More videos:

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

Category Popularity

0-100% (relative to RAML and Visual Studio IntelliCode)

RAML

Visual Studio IntelliCode

API Tools
100 100%
API Tools
0% 0
AI
0 0%
AI
100% 100
APIs
100 100%
APIs
0% 0
Developer Tools
0 0%
Developer Tools
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 RAML and Visual Studio IntelliCode

RAML Reviews

We have no reviews of RAML yet.
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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.
Source: www.geeksforgeeks.org
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 should be more popular than RAML. It has been mentiond 11 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.

RAML mentions (5)

  • The Good, the Bad, and the OpenAPI: Why Developers Love and Hate It
    While alternatives like RAML and API Blueprint exist, OpenAPI’s widespread adoption and comprehensive tooling make it the go-to choice for most developers. - Source: dev.to / 3 months ago
  • Mastering API Definitions: A Comprehensive Guide
    RAML is another popular format for RESTful APIs, focusing on making it easier to design and document APIs. - Source: dev.to / 5 months ago
  • Introduction to TypeSpec
    In this context, a "dispute" began between some API specification languages; as more and more teams adopted APIs, something was needed that would make it possible to define, document, and detail them. Among the competitors, I can remember RAML and the one I was betting my chips on, API Blueprint, but the winner was Swagger, later renamed to OpenAPI. - Source: dev.to / 7 months ago
  • Navigating Microservices Code Repos
    This happened when I was working for one of my previous employers. I had just joined the company and was working on a microservice that was consuming a REST api exposed by another microservice. There was this JIRA ticket I was working on and I was not sure about the data model exposed by this REST api call. At this point in time the adoption to OpenAPI / Swagger / RAML was just beginning. I was new and was... - Source: dev.to / over 3 years ago
  • What is Developer Experience and why should we care?
    Provide consistent and easy-to-use documentation. Provide an OpenAPI or RAML file that describes your API and the endpoints. Also, provide easy-to-use interactive online API documentation like Swagger if possible. - Source: dev.to / almost 4 years 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 RAML and Visual Studio IntelliCode, you can also consider the following products

Postman - The Collaboration Platform for API Development

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

Apiary - Collaborative design, instant API mock, generated documentation, integrated code samples, debugging and automated testing

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

Apigee - Intelligent and complete API platform

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

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