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
Gorilla
An AI assistant enabling large language models (LLMs) to accurately invoke APIs through semantic and syntactic natural language queries.
Rating:
3.7/5
Tool Overview
1st
Amazon Q Developer
Agentic AI Assistant
2nd
Gorilla
AI Assistant
Features
Features
| Feature | Amazon Q Developer | Gorilla |
|---|---|---|
| Subtype | CLI, Plugin | Web App |
| 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| Legacy Code Modernization | Upgrade outdated codebases (e.g., Java 8 to Java 17) | — |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 | — |
| API Invocation | — | Enables LLMs to invoke over 1,600 APIs accurately |
| Semantic Matching | — | Ensures API calls are semantically and syntactically correct |
| Reduced Hallucination | — | Minimizes LLM-generated errors in API usage |
| APIBench Integration | — | Leverages the APIBench dataset for extensive API training |
| Scalable API Store | — | Supports an ever-growing collection of APIs |
Pricing
Pricing Plans
| Plan | Amazon Q Developer | Gorilla |
|---|---|---|
| Free | $0 Basic AI capabilities for AWS-integrated projects | $0 Basic API invocation capabilities |
| Pro | $25/month Advanced collaboration and modernization tools | $18/month Enhanced API matching and lower latency |
| Enterprise | Custom Scalable AWS-integrated AI for large teams | Custom Scalable deployment with enterprise-level API integration |
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
Gorilla
Pros
- •Accurate API invocation through LLMs
- •Minimized API call hallucinations
- •Extensive APIBench dataset integration
Cons
- •Requires precise natural language input for accuracy
- •Limited flexibility for uncommon APIs
- •Early-stage product with ongoing refinements
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