Code Compare vs. GitHub Copilot vs. IBM DevOps Model Architect

If your developer team is well-versed with standard VCS then I don't think they need this additional software to occupy their memory, they already have those capabilities within all VCS. A well-suited use case can be a team where not everybody has knowledge of VCS but has to collaborate on a project.

Incentivized

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

• Easy to compare files and folders as it provides many features to set different colors while matching.
• Easy to sync local clones with the production system.
• It allows to user to compare the file within multiple windows.

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

• Dark mode would have been a welcome change.
• UI could be updated to latest standard rather than old windows square looking UI.
• Despite being simple to use, a user guide would be appreciated.

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

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

• It helps to save a lot of effort hours as we can synch code with few simple steps.
• Easily to check customers issues with the help of local and production changes.
• Helps to deploy the service packs on a production system.

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