GitHub Copilot vs. Qlerify

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

Extremely well suited for process development and since it closes the gap between ICT and Business, for software development. It is less appropriate in cases where swimlane type of process map doesn't suit well.

• 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

• Streamlined UI
• Real-time collaboration
• Jira integration

• 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

• We would have like to known about them a bit earlier.

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

I haven't officially evaluated other process mapping tools. I have however used many tool during the past 30 years. Qlerify is first I am excited about.

• 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

• It has enabled me to achieve results faster
• Qlerify helps find better solutions
• Qlerify has enabled results we have not achieved with other tools
• Qlerify's collaboration features improve team and management buy-in