With AI, we can really improve our efficiency in writing and programming. In particular, the programming does not need to be completely rewritten, but can be directly repaired after being generated by AI tools. In this article, Lao Jiang recorded that Amazon Q AI programming assistant tool of Amazon Cloud can be bound to our common script editor, such as VS Code, which I often use for auxiliary code development.
Search "Amazon Q" in the external VS Code, and you can see that it is installed directly as shown in the figure below.
If we are deep users, we need to use the development version, which costs 19 dollars per month. If it is a simple experience, we will use the free version.
Log in to our AWS account. If we don't register, we can Application for registration . Registration now also gives away 12 months of ECS and other 100+free cloud application experiences.
Authorize our cloud application. After confirming that there is no problem, we return to VS CODE.
We can see that Q&A has been used. Entering commands directly can help us to work as an AI programming assistant.
Very efficient. However, the free version is limited. We can experience it. If we really need to use a lot, we can use the paid version. Let's compare the free and professional versions.
| function |
prix fixe |
|
Free Admission |
major |
|
Free Admission |
$19 per user per month |
| IDE |
|
|
| Code completion |
contain |
contain |
| Chat (project wide context) |
50 chats per month |
contain |
| Amazon Q Developer Agent for Software Development* |
5 calls per month |
30 calls per month |
| Amazon Q Developer Agent for Code Transformation** |
1000 lines of code per month |
Each user merges 4000 lines of code at the account level each month. Provide additional code lines, and pay 0.003 US dollars for each line of code submitted** |
| Security vulnerability and code quality scanning |
50 project scans per month |
500 project scans per month, including automatic scanning |
| Custom Amazon Q Developer Edition embedded code recommendation (now released) and chat reply (preview) |
Not applicable |
Create up to 8 custom settings and keep up to 2 active at the same time |
| Amazon Q Developer Edition in SageMaker Studio |
Not included |
contain |
| AWS management console (as well as AWS documents and AWS marketing pages * * *) |
|
|
| Console |
|
|
| General Q&A |
contain |
contain |
| EC2 instance selection |
contain |
contain |
| Generated SQL (Preview) |
contain |
contain |
| Common errors in the diagnostic console |
contain |
contain |
| Analyze network accessibility |
20 requests per day |
20 requests per day |
| data Integration |
contain |
contain |
| Chat using AWS account and resource context |
25 per account per month |
contain |
| command line |
|
|
| Public CLI completion |
contain |
contain |
| chat |
50 chats per month |
contain |
| Amazon CodeCatalyst |
|
|
| Amazon Q Developer Agent for Software Development* |
5 per month |
30 per month |
| Pull Request Summary |
5 per month |
20 per month |
| Administration |
|
|
| Analysis Control Panel |
no |
yes |
| user management |
no |
yes |
| Policy management |
no |
yes |
| Security and privacy |
|
|
| Reference tracking |
yes |
yes |
| Hide public code suggestions |
yes |
yes |
| Authentication |
AWS builder ID or IAM user |
IAM Identity Center |
| data collection |
Optional Exit |
Auto Select Exit |
| IP Indemnity |
no |
yes |
Of course, the specific cost is subject to the actual situation. Here I just experience that Amazon Q can be bound to our code editor, and the efficiency can greatly improve the development speed.
