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  5. Amazon CodeGuru vs TSLint

Amazon CodeGuru vs TSLint

OverviewDecisionsComparisonAlternatives

Overview

TSLint
TSLint
Stacks3.4K
Followers234
Votes0
Amazon CodeGuru
Amazon CodeGuru
Stacks68
Followers151
Votes24

Amazon CodeGuru vs TSLint: What are the differences?

Introduction

In this markdown, we will discuss the key differences between Amazon CodeGuru and TSLint, focusing on six specific points.

  1. Code Analysis Capabilities: Amazon CodeGuru is an AI-driven cloud-based service that provides automatic code review recommendations and profiling information. It uses machine learning algorithms to analyze the code and suggest potential optimizations and improvements. On the other hand, TSLint is a static analysis tool specifically designed for TypeScript that checks for coding errors and enforces coding standards. It does not provide in-depth performance profiling or optimization recommendations like CodeGuru.

  2. Language Support: CodeGuru supports multiple programming languages like Java, Python, and Ruby. It can analyze code written in these languages and provide relevant recommendations. TSLint, on the other hand, is exclusively focused on TypeScript, a superset of JavaScript, and provides linting and static analysis specifically for TypeScript projects.

  3. Integration with Development Environments: CodeGuru seamlessly integrates with popular integrated development environments (IDEs) like IntelliJ, Eclipse, and Visual Studio Code. It provides real-time recommendations and suggestions while developers are writing code. TSLint also offers IDE integration, but typically requires additional setup and configuration to work within specific development environments.

  4. Continuous Improvement with Machine Learning: CodeGuru leverages machine learning to continuously improve its code analysis capabilities. It automatically learns from the feedback it receives from developers and evolves its recommendations over time. TSLint, on the other hand, relies on pre-defined rulesets and does not adapt or learn from individual coding patterns or project-specific requirements.

  5. Performance Profiling: One of the key differentiators of CodeGuru is its performance profiling capabilities. It can identify performance bottlenecks in code and provide recommendations to improve the code's execution time. TSLint, being primarily a static analysis tool, does not offer comprehensive performance profiling features.

  6. Integration with CI/CD Pipelines: CodeGuru can be seamlessly integrated into CI/CD (Continuous Integration/Continuous Deployment) pipelines, allowing developers to automatically analyze their code during the build and deployment process. This ensures that the code is continuously optimized and follows best practices. TSLint can also be integrated into CI/CD pipelines but requires additional setup and configuration.

In summary, CodeGuru leverages machine learning to provide automatic code review recommendations along with performance profiling capabilities, supporting multiple programming languages and seamless integration with popular IDEs and CI/CD pipelines. TSLint, on the other hand, is specifically focused on TypeScript static analysis and enforcing coding standards, with less emphasis on performance optimization and broader language support.

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Advice on TSLint, Amazon CodeGuru

Budi
Budi

Programmer

Aug 19, 2020

Review

I think you scan skip MongoDB for now and focussing on creating web component with Reactjs or Vue, I would also recommend to use TypeScript for type hinting support.

For styling, learn CSS first then upgrade to SASS/SCSS or LESS (pick one as mostly same concept) to make CSS more maintainable.

Also to improve your skill on both sectors, install linters if available. For TypeScipt, there are TSLint and for styling, i think there are Stylint. Linter will help you adapt to make a clean code and understand how other peoples usually styled their code.

41.6k views41.6k
Comments

Detailed Comparison

TSLint
TSLint
Amazon CodeGuru
Amazon CodeGuru

An extensible static analysis tool that checks TypeScript code for readability, maintainability, and functionality errors. It is widely supported across modern editors & build systems and can be customized with your own lint rules, configurations, and formatters.

It is a machine learning service for automated code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific recommendations to fix or improve your code.

Extensive set of core rules; Custom lint rules; Custom formatters (failure reporters); Configuration presets; Composition; Automatic fixing of formatting & style violations
Automate code reviews; Fast and reliable code issue detection; Trained on decades of knowledge and experience; Understand the runtime behavior of applications; Intelligent recommendations; Always-on profiling of applications in production
Statistics
Stacks
3.4K
Stacks
68
Followers
234
Followers
151
Votes
0
Votes
24
Pros & Cons
No community feedback yet
Pros
  • 24
    What programming languages are supported?
Cons
  • 1
    Works only on Java code
Integrations
Vim
Vim
Visual Studio Code
Visual Studio Code
TypeScript
TypeScript
Atom
Atom
WebStorm
WebStorm
Emacs
Emacs
gulp
gulp
Sublime Text
Sublime Text
Visual Studio
Visual Studio
Grunt
Grunt
GitHub
GitHub
Amazon EC2
Amazon EC2
Java
Java
Amazon EC2 Container Service
Amazon EC2 Container Service
AWS CodeCommit
AWS CodeCommit
Amazon EKS
Amazon EKS
AWS Fargate
AWS Fargate

What are some alternatives to TSLint, Amazon CodeGuru?

Code Climate

Code Climate

After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.

Codacy

Codacy

Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.

Phabricator

Phabricator

Phabricator is a collection of open source web applications that help software companies build better software.

PullReview

PullReview

PullReview helps Ruby and Rails developers to develop new features cleanly, on-time, and with confidence by automatically reviewing their code.

Gerrit Code Review

Gerrit Code Review

Gerrit is a self-hosted pre-commit code review tool. It serves as a Git hosting server with option to comment incoming changes. It is highly configurable and extensible with default guarding policies, webhooks, project access control and more.

SonarQube

SonarQube

SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.

RuboCop

RuboCop

RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide.

CodeFactor.io

CodeFactor.io

CodeFactor.io automatically and continuously tracks code quality with every GitHub or BitBucket commit and pull request, helping software developers save time in code reviews and efficiently tackle technical debt.

ESLint

ESLint

A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.

Reviewable

Reviewable

A code review tool for GitHub pull requests inspired by Google's internal tool. Powerful diffing and workflow features wrapped in a beautiful UI, with seamless GitHub integration. Free for public repos.

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