What is Amazon Q Developer?
Amazon Q Developer (previously Amazon CodeWhisperer) The most capable generative AI–powered assistant for software development. To accelerate building across the entire software development lifecycle, Amazon Q agents can autonomously perform a range of tasks–everything from implementing features, documenting, testing, reviewing, and refactoring code, to performing software upgrades.
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
85 Likeliness to Recommend
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Since last award
95 Plan to Renew
1
Since last award
83 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+94 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Amazon Q Developer?
Pros
- Respectful
- Generous Negotitation
- Saves Time
- Altruistic
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Bug Detection
Natural Language Generation
IDE Integration
Commenting
Summarization & Explanation
Multi-Language Support
Code Completion
Refactoring
Unit Tests
Vendor Capability Ratings
Ease of Implementation
Business Value Created
Vendor Support
Availability and Quality of Training
Quality of Features
Ease of Customization
Breadth of Features
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Ease of Data Integration
Ease of IT Administration
Amazon Q Developer Reviews
Alicia S.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Oct 2024
Helpful AWS Coding with Amazon CodeWhisperer
Likeliness to Recommend
What differentiates Amazon Q Developer from other similar products?
Amazon CodeWhisperer is tightly integrated with AWS services, making it an ideal choice for developers working within the AWS ecosystem. Its AI-powered code suggestions are tailored for cloud applications, offering more precise recommendations compared to other general-purpose coding assistants.
What is your favorite aspect of this product?
The seamless integration with AWS tools and services is incredibly valuable, especially when working on cloud projects.
What do you dislike most about this product?
At times, the suggestions can be repetitive or less contextually relevant, particularly for more complex or niche use cases, which can slow down productivity. This is one of the reason we have stopped using it now.
What recommendations would you give to someone considering this product?
If team is already embedded in the AWS ecosystem, CodeWhisperer can be a great asset for accelerating development.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
Aarna J.
- Role: Information Technology
- Industry: Other
- Involvement: End User of Application
Submitted Apr 2026
Works best when AWS is your world
Likeliness to Recommend
What differentiates Amazon Q Developer from other similar products?
It's is not just smarter than other it's that they're optimized for different jobs that's make different Amazon Q Developer to other and Copilot is about writing code quickly, it's is understanding and working inside an AWS based system.
What is your favorite aspect of this product?
Honestly, I like most about Amazon Q Developer is that it leans into those moments and it's not just sitting in my editor waiting to autocomplete and it can actually look at logs.
What do you dislike most about this product?
I dislike that's is the biggest drawback is how it's tightly tied to AWS and one more thing that frustrating me is that it's not a lightweight or immediate as tools like GitHub Copilot. Copilot is kind of always there helping me move fast in small ways constantly.
What recommendations would you give to someone considering this product?
My recommendations would be first thing I want to suggest you be honest about how deep you are into AWS and if most of you services live there Lambda, IAM, CloudWatch all that then it's worth trying and I also recommend not expecting it to replace something like GitHub Copilot. And take the time to set it up properly.
Pros
- Continually Improving Product
- Reliable
- Trustworthy
- Effective Service
Cons
- Charges for Enhancements
Medha S.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Mar 2026
Practical Recommendation for AWS-Based Productivit
Likeliness to Recommend
What differentiates Amazon Q Developer from other similar products?
It works inside cloud as well as company systems and gives answer based on internal documents.
What is your favorite aspect of this product?
It can code ,debug ,deploy and analyse data and automate workflow.
What do you dislike most about this product?
I dislike that Amazon Q can feel too tightly integrated with AWS, making it less flexible for non-AWS environments. It sometimes lacks the conversational ease and creativity seen in other AI tools. Additionally, responses can feel more technical than user-friendly, and the learning curve can be slightly steep for new or non-technical users.
What recommendations would you give to someone considering this product?
I would recommend Amazon Q to organizations already using AWS who want to improve productivity and automate workflows using their internal data. It is especially useful for developers and business teams who need quick insights, coding assistance, and task automation. However, new users should be prepared for a learning curve and ensure proper data integration to get the best results.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing