Software Alternatives, Accelerators & Startups

Visual Studio IntelliCode VS Amazon API Gateway

Compare Visual Studio IntelliCode VS Amazon API Gateway 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.

Visual Studio IntelliCode logo Visual Studio IntelliCode

Visual Studio IntelliCode is an experimental set of AI-assisted development capabilities for next-generation developer productivity.

Amazon API Gateway logo Amazon API Gateway

Create, publish, maintain, monitor, and secure APIs at any scale
  • Visual Studio IntelliCode Landing page
    Landing page //
    2023-02-23
  • Amazon API Gateway Landing page
    Landing page //
    2023-03-12

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.

Amazon API Gateway features and specs

  • Scalability
    API Gateway automatically scales to handle the number of requests your API receives, ensuring high availability and reliability.
  • Ease of Integration
    Seamlessly integrates with other AWS services like Lambda, DynamoDB, and IAM, enabling a cohesive environment for developing serverless applications.
  • Built-in Security
    Provides features such as IAM roles, API keys, and AWS WAF integration for safeguarding your APIs from potential threats.
  • Monitoring and Logging
    Supports CloudWatch integration for monitoring API requests and responses, helping you maintain observability and troubleshoot issues effectively.
  • Cost-Effective
    You only pay for the requests made to your APIs and the amount of data transferred out, making it a cost-effective solution for many use cases.
  • Caching
    Built-in caching at the API Gateway level can improve performance and reduce latency for frequently accessed data.

Possible disadvantages of Amazon API Gateway

  • Complexity in Configuration
    Setting up and managing API Gateway can be complex, especially for users who are not familiar with AWS services and cloud infrastructure.
  • Cold Start Latency
    When integrated with AWS Lambda, cold starts can introduce latency which can affect the performance of your API.
  • Cost for High Throughput
    While cost-effective for low to moderate usage, the costs can escalate with high throughput and large data transfers.
  • Debugging Issues
    Diagnosis can be complicated due to the multi-tenant nature of the service and the need to dive into multiple AWS logs and services.
  • Limited Customization
    There might be constraints regarding customizations and fine-tuning your APIs compared to self-hosting solutions.
  • Vendor Lock-in
    Dependence on AWS infrastructure can lead to vendor lock-in, making it challenging to migrate to other cloud providers or solutions.

Visual Studio IntelliCode videos

Visual Studio IntelliCode

More videos:

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

Amazon API Gateway videos

Building APIs with Amazon API Gateway

More videos:

  • Review - Create API using AWS API Gateway service - Amazon API Gateway p1

Category Popularity

0-100% (relative to Visual Studio IntelliCode and Amazon API Gateway)
AI
100 100%
0% 0
API Tools
0 0%
100% 100
Developer Tools
100 100%
0% 0
APIs
0 0%
100% 100

User comments

Share your experience with using Visual Studio IntelliCode and Amazon API Gateway. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Visual Studio IntelliCode and Amazon API Gateway

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

Amazon API Gateway Reviews

We have no reviews of Amazon API Gateway yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Amazon API Gateway should be more popular than Visual Studio IntelliCode. It has been mentiond 107 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.

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

Amazon API Gateway mentions (107)

  • 10 Lightweight API Gateways for Your Next Project
    AWS API Gateway is Amazon’s managed gateway service, designed to work seamlessly within the AWS ecosystem. It supports both REST and WebSocket APIs, with HTTP APIs being the lightweight, lower-cost option for simple proxying and routing use cases. - Source: dev.to / 17 days ago
  • 4 Cognito User Pools features you might not know about
    This opens up a world of customization options for controlling app access. For example, we can embed custom data in the ID token for the front-end client to use, enabling guards to restrict content. Alternatively, we can add custom scopes to the access token and implement fine-grained access control in an API Gateway API. All it takes is some Lambda function code, and Cognito triggers it at the right time. - Source: dev.to / about 1 month ago
  • Verifying Cognito access tokens - Comparing three JWT packages for Lambda authorizers
    When the built-in Amazon API Gateway authorization methods don’t fully meet our needs, we can set up Lambda authorizers to manage the access control process. Even when using Cognito user pools and Cognito access tokens, there may still be a need for custom authorization logic. - Source: dev.to / about 1 month ago
  • Implementing advanced authorization with AWS Lambda for endpoint-specific access
    The API Gateway includes an endpoint structured like this:. - Source: dev.to / about 2 months ago
  • Turning APIs into Revenue: Passive Income Strategies for Developers
    Amazon Web Services exemplifies this approach with automatic volume discounts that encourage increased usage while maximizing revenue at each consumption level. - Source: dev.to / about 2 months ago
View more

What are some alternatives?

When comparing Visual Studio IntelliCode and Amazon API Gateway, you can also consider the following products

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

Postman - The Collaboration Platform for API Development

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

AWS Lambda - Automatic, event-driven compute service

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

Apigee - Intelligent and complete API platform