GitHub Copilot vs. SonarQube for IDE

Copilit is fantastic at the following: 1. Solving simple, well-defined problems, such as implementing an algorithm, manipulating a data structure, or string manipulation and regex. 2. Implementing simple APIs that are mainly CRUD in nature, with moderate business logic inside them, which may involve some processing or passing the data through an algorithm. 3. Implementation of well-defined activities, such as implementing a connection to an Oracle DB using Hibernate or JDBC, or implementing boilerplate code for a backend service to listen to Kafka events. It is not that great when it comes to understanding and implementing code in a proprietary DSL. It struggles when implementing a major feature across a complex codebase. I believe developers should also adopt the trust-but-verify paradigm when expecting highly secure or regulated code from GitHub Copilot.

Incentivized

• Make code development faster and quicker.
• Helps write better code standards for projects.
• Provide the latest functions from the technology.
• Notifies about the deprecated functions.

Incentivized

• SonarLint highlights all the issues in our codes and also displays the severity of each issue.
• SonarLint also provides suggestions for how to fix those code issues which are highlighted.
• SonarLint starts the processing of the file as soon as it is opened and highlights all the issues which it found.
• When we fix the issue, we don't even need to create a new build or generate fresh code quality report, as soon as we save the file with the changes, it does the processing again and shows the result if the issue is fixed or not.
• SonarLint saves a lot of time and effort by saving us from doing fresh build every time and generating new code quality report every time, thus increasing the efficiency and output which is in return beneficial for the client.

Incentivized

• The only issue I faced is the context token size, it can be increase.
• Sometime with agent mode it takes too much time, which can be reduced but I understand it also depends on the complexity of the given task.

Incentivized

• Sometimes, SonarLint does not highlight the issues in the code correctly.
• The severity of the issues highlighted is according to the default rules set, we should also be given authority to set the severity of the issues.
• The default fixes which SonarLint provides should be more enhanced and there should be more fixes available.
• Sometimes it takes a lot of time for processing of the file when any new file is loaded or changes are saved in a file.

Incentivized

I feel that GitHub Copilot's overall usability is good due to its tight integration with Visual Studio and the workspace. However, developers expect greater ease of use, as there is a learning curve to realize productivity gains with the tool fully. I think there is room for improvement in GitHub Copilot's UI integration within Visual Studio.

Incentivized

It is useful that copilot integrates so well with vscode, which is a very common IDE. I used Tabnine for a little while but it was not that intuitive, and did not seem as helpful as GitHub copilot was. I have enjoyed GitHub copilot a lot, especially the ease of hitting the tab key and seeing quick progress in my tasks.

Incentivized

SonarLint works along with SonarQube

Incentivized

• Our ROI of the purchase of Copilot was met in less than a day. The timesave cannot be overstated
• Programmer boredom/dissatisfaction is down because of less repetetive crud work.

Incentivized

• SonarLint helps in achieving all the business requirements in a more efficient way.
• It reduces the manual and redundant work which we would have to do else every time if we did not use SonarLint.
• SonarLint helps in maintaining code quality, and thus also highlights the loopholes for the cyber attacks and phishing attacks.
• SonarLint makes work easy and helps the developer to invest less time in manual work thereby increasing their capacity to deliver the maximum output to the client.

Incentivized