GitHub Copilot is presented as an AI pair programmer, that plugs into the user's editor. It then turns natural language prompts into code, offers multi-line function suggestions, speeds up test generation, filters out common vulnerable coding patterns, and blocks suggestions matching public code.
$10
per month
Piper the AI SDR by Qualified
Score8.9 out of 10
N/A
The Qualified product suite automatically identifies, engages, and converts website visitors into pipeline. Piper the AI SDR Agent engages these buyers around the clock with live chat, answers questions, to convert prospects into pipeline.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Piper the AI SDR is perfect for a global marketing team who wants to have greater control over conversations that are happening on the website. She does an excellent job of qualifying leads and getting meetings booked. In addition she does an excellent job routing people to support and away from sales if that is not an area they are interested. There aren't many areas we have found Piper to be not appropriate. As we continue to hone in and improve her capabilities.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Piper the AI SDR can get tripped up when someone asks a question we weren't prepared for. Example Does the webinar cost money? Of course not but we didn't specifically put anywhere that it doesn't, and she can get confused
Piper the AI SDR can sometimes get overzealous and try do things she isn't able to like help someone download an ebook
There are some trigger limitations for email but we are aware it is on the features roadmap
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The Qualified tool itself if superb. It comes with so many features, not just the AI SDR - Sani, in our case, but additional features and benefits which I've started to take full advantage of. It's allowed us to drive engagement across the website within just days, and has already begun to see leads converted to open, and in some cases, won opportunities in under two weeks. Our AI SDR - Sani, has opened so many doors for the business. We've learned so much from our customers, website structure and content that resonates with prospects.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We chose Qualified over their competitors because of our interactions with their team and the product. Their team made it feel like this was a partnership and that we weren't just some other customer. Implementation was fast and the tool is very user-friendly. Their customer support is next level and we really appreciate that. All in all, we love their implementation time and great service
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
