GitHub Copilot vs. Google Gemini

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

With some practice in crafting prompts, works well for generating cartoons, photos, simulated paintings, etc. for use in posters without requiring too much editing. The resolution however is not especially high, so for high end printwork, it might not be as appropriate. If you need to be sure of copyright, I don't feel confident that it follows all the rules, so if that is important, be sure to research further.

Incentivized

• Fills in popular functions that we use throughout our code base.
• Offers solutions to bugs and errors in the code.
• Reads the docs for things that we may have missed.

Incentivized

• Deep research for getting first business research draft from Gemini, post which i use series of prompts to improve it and use my understanding to refine it further
• Canvas to produce structured business topic research and newsletter. Direct edits to the sections and making client ready reports
• Learning mode to get help on step by step automation of AI workflows

Incentivized

• Sometimes generates nonsensical code, "hallucination," which can require additional review and correction
• Sometimes can contain security vulnerabilities
• It is a paid service

Incentivized

• Currently the document database caps out at 10, requiring us to condense some of our policies
• It's large context window is a blessing and a curse. Sometimes it stops generating half way through a very ambitious request as it delivers page after page of content
• There is no way to share Gems currently, so we have to publish guides to our employees on how to best configure them

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's standard usability interface - no problems or challenges using it. I do prefer Claude still because of the different options/modes you can toggle on and off. I don't think Gemini has those options. It's a great daily companion for quick problem solving but not great for larger projects or conversations

Incentivized

I used Cursor AI as well, along with CoPilot. Curson has its own AI editor, but Copilot works with almost every code editor. So I don't need to depend on just one editor, and I get the flexibility to choose my own editors. The billing is also good and doesn't require many coupons to write prompts.

Incentivized

I prefer Gemini because of how integrated it is with the rest of Google Workspace. It also can be used by the children to support their learning although as a school we have not pursued this opportunity yet. Gemini also has a better free tier on its API than competitors do, making it a great way to test out new features without needing to pay.

Incentivized

• It has very positive impact in our organization, it saves lots of time.
• Helps us to build more efficient and secure Apps.
• Helps in fast product development.

Incentivized

• The problem is that few companies conduct a serious study of the profitability associated with integrating AI into their business, but it clearly offers advantages
• However, it is essential to have professionals who can leverage AI effectively; otherwise, the investment will be pointless
• In general, AI can significantly reduce the time an employee spends on their work; however, it is necessary to define how that freed-up time will be used
• Some companies are evaluating Gemini and other similar systems as replacements for people, but I don't see this as a general-purpose solution, and I still see commercially available AI technology as a long way off

Incentivized