I used Amazon Q in my hackathon, and after that, I have not used it. For automating coding tasks and implementing AWS services in my project, I used Amazon Q Developer. I did not use Amazon Q Developer for my organization but rather for one of my hackathon projects.
Amazon Q saved my time more than other products, such as GitHub Copilot, because it is conscious about particular AWS services. If I encounter any error, it provides a perfect solution that I can follow to resolve the issue.
The best feature of Amazon Q is that it has the data of all AWS services which it processes using RAG. By performing RAG on the particular data, it is specialized for AWS services. If you want to integrate AWS services in your project, then Amazon Q Developer is the best product available.
One of the best features of Amazon Q is the inline coding, which I appreciate.
Amazon Q saved a considerable amount of time.
Amazon Q Developer is only personalized for AWS, but I hope it can be personalized for other areas, such as Google Cloud service or Azure Cloud service. Amazon Q Developer provides only one LLM model, which is Amazon's LLM. However, GitHub Copilot provides a list of LLMs, allowing users to choose their preferred LLM, which is not possible in Amazon Q Developer.
In coding terms, sometimes I do not trust Amazon Q Developer's coding suggestions.
I used Amazon Q in my hackathon, and after that, I have not used it.
We completed the project within one month. If we had not used Amazon Q Developer, it would have taken three or four months. On a scale of 1-10, I rate Amazon Q an 8.
