I find Amazon Q Developer ideal for cloud-native teams on AWS who want to accelerate coding, automate upgrades, and embed AI into DevSecOps workflows. I appreciate how it reduces manual effort in writing, testing, and documenting code while helping optimize AWS resources. The guidance on cloud architecture, cost optimization, and resolving operational incidents directly in the AWS Console, Teams, or Slack is really helpful. It's easy to use and effective for new users too. Review collected by and hosted on G2.com.

Over-reliance on AI: Developers must still review generated code for correctness. Review collected by and hosted on G2.com.

I appreciate Amazon Q Developer for its fast and intelligent code suggestions, which help me improve development efficiency and code quality. The real-time debugging and code optimization features are extremely useful, allowing me to solve complex tasks more effectively. It's also great for understanding complex code structures and learning new programming concepts. Additionally, I enjoy the smoother onboarding experience with the improved 2-step setup process provided by AWS. Review collected by and hosted on G2.com.

Performance consistency could also be improved, as response times occasionally vary. Additionally, better explanations for certain suggestions would help users understand the reasoning behind the code more clearly. Review collected by and hosted on G2.com.

The UI is easy to use for troubleshooting AWS services. It checks and identifies issues within seconds. Performance is very good, the support team is the best, and integrating with other tools or services is easy. Review collected by and hosted on G2.com.

I haven't found any issues so far; it's been performing great. Review collected by and hosted on G2.com.

Amazon Q Developer improves coding speed with useful code suggestions and debugging assistance Review collected by and hosted on G2.com.

sometimes responses lack context for complex tasks Review collected by and hosted on G2.com.

AI-powered code assistant tool that helps fix code issues and supports many languages. It also has agentic capabilities to perform many tasks. Review collected by and hosted on G2.com.

It works best in an AWS environment; otherwise, it still looks good overall. Review collected by and hosted on G2.com.

What I like most about Amazon Q Developer is that it helps students understand code instead of just giving quick answers. In the lab, I use it to explain how each line of code works and to show how to fix common mistakes. It also helps me demonstrate how different AWS services connect with code. The chat and explanation features make learning more interactive and easy to follow. Since it supports many languages like Python, Java, and JavaScript, students can all use the same tool. Overall, it saves time and makes coding sessions more engaging and educational. Review collected by and hosted on G2.com.

What I dislike about Amazon Q Developer is that it sometimes gives incomplete or complicated answers, which can confuse beginners. In the lab, students need clear and correct feedback, but sometimes the tool suggests code that doesn’t run properly. Setting it up with AWS credentials also takes extra time and can slow down class activities. I wish the setup was easier and the explanations were more reliable for new learners. Review collected by and hosted on G2.com.

The best part about Q is it helps me learn more about a specific AWS service in depth. I am happy that i can clear my doubts within the dashboard itself easily. Since it is a AWS service Customer Support works well for higher plans. I use it very often to know more about the best budget friendly service or plans to make my products cost effective. Review collected by and hosted on G2.com.

I wouldn't say i dislike, but integrating Q with Amazon Connect needs more refinement. In terms of agentic AI implementation. Though they provide templates to customize the prompts, I see no much difference. for example, I have a KB article in s3 and I want it to behave more like a human, pausing and confirming before proceeding to next step. It needs more improvement in terms of empathy. Review collected by and hosted on G2.com.

Amazon Q Developer helps developers write, understand, and debug code faster with deep AWS service awareness.

It provides context aware code suggestions, AWS best practices, and infrastructure guidance.

A major upside is built-in security scanning and least-privilege IAM recommendations.

It’s especially powerful for AWS-based projects, legacy code understanding, and cloud modernization. Review collected by and hosted on G2.com.

Amazon Q Developer is less helpful outside the AWS ecosystem and offers limited value for non-AWS or frontend-heavy projects.

Its suggestions can be overly AWS-specific, sometimes verbose, or require manual validation.

Advanced customization and fine-grained control are limited compared to open AI coding tools.

It also depends heavily on AWS context and permissions, which can reduce usefulness in small or offline projects. Review collected by and hosted on G2.com.

What I like the most is how it helps me write and debug code faster. The AI suggestions are usually accurate and save a lot of time, especially when I’m working on repetitive tasks. It also understands context pretty well, so it gives code that actually fits what I need instead of random snippets. Review collected by and hosted on G2.com.

Sometimes the AI suggestions can be a bit off, especially with more complex or less common code structures. Also, it can feel a bit slow when working with large files or heavy projects. I think it could improve in recognizing custom frameworks or libraries. Review collected by and hosted on G2.com.

Beyond simple inline completions, it can read project files and iteratively implement features end-to-end based on natural language prompts. Review collected by and hosted on G2.com.

Nothing as such for now. Everything is working fine Review collected by and hosted on G2.com.