Quick Summary

Amazon Q Developer

An AI-powered coding assistant integrated into the AWS ecosystem, offering intelligent assistance, legacy code modernization, and secure development workflows.

Rating:
4.2/5

AI Code Review Action

An AI-powered GitHub Action designed to automate code reviews, generate comments, and provide feedback on pull requests.

Rating:
3.5/5

Tool Overview

1st
Amazon Q Developer

Amazon Q Developer

Agentic AI Assistant

2nd
AI Code Review Action

AI Code Review Action

AI Code Review Assistant

Features

Features

FeatureAmazon Q DeveloperAI Code Review Action
Subtype
CLI, Plugin
GitHub Action
Recommendation
Developing
Ignore
Conversational Development Support
Natural language interactions for AWS services and troubleshooting
Smart Code Completion
Context-aware code suggestions to streamline development
Security-First Development
Automated vulnerability scanning with actionable recommendations
Legacy Code Modernization
Upgrade outdated codebases (e.g., Java 8 to Java 17)
Seamless IDE Integration
Supports popular IDEs like Visual Studio Code and JetBrains
Automated Documentation
Generates real-time documentation and performance analytics
Integration with GitHub Actions
Seamless integration into GitHub workflows for automated code reviews
GPT-3.5 Turbo Model
Uses the GPT-3.5 Turbo model for analyzing and generating code feedback
Line-by-Line Review
Provides detailed feedback on pull request changes
Duplicate Comment Reduction
Minimizes duplicate and redundant feedback comments

Pricing

Pricing Plans

PlanAmazon Q DeveloperAI Code Review Action
Free
$0
Basic AI capabilities for AWS-integrated projects
$0
Basic automated code review capabilities
Pro
$25/month
Advanced collaboration and modernization tools
$15/month
Enhanced comment management and priority processing
Enterprise
Custom
Scalable AWS-integrated AI for large teams
Custom
Scalable workflows and advanced integrations

Pros & Cons

Amazon Q Developer

Pros

  • Deep integration with AWS ecosystem
  • Strong legacy code modernization capabilities
  • Automated vulnerability scanning and security recommendations
  • Effective documentation and analytics tools

Cons

  • Slower response times under heavy loads
  • Limited AI model flexibility
  • Context management across larger projects is inconsistent

AI Code Review Action

Pros

  • Easy integration into GitHub workflows
  • Automated pull request reviews
  • Context-aware line-by-line comments

Cons

  • Generates redundant comments
  • Struggles with larger code diffs
  • Overwhelming volume of feedback

Our Recommendation

Based on the comparison above, we recommend Amazon Q Developer for most users because:

  • Best overall feature set
  • Competitive pricing
  • Strong user ratings