Open Loyalty is loyalty software for developing dedicated loyalty applications, prepared for large-scale projects, proven by partners. It is a technological stack for all kinds of loyalty applications. Created by developers for developers.
With Open Loyalty you can build applications like: loyalty modules for eCommerce, full loyalty programs for off-line and on-line, motivational programs for sales department or customer care programs with mobile app. The variety applications depends on your imagination.
As a customer you will get new additional loyalty and gamification features in eCommerce which we call the eCommerce Cockpit. Customers can also access loyalty programs through the web service on a subdomain where they can interact with the whole loyalty program - we call this web service Client Cockpit. Everything is fully customizable in design.
On the other hand administrators can manage and monitor every piece of the loyalty program with a dashboard which we call Admin Cockpit. Merchants in off-line stores can use POS Cockpit - a mobile friendly web application thanks to which they can register customers and match customer with transactions.
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In the wild: Code assistance plug-ins in IDEs (such as Genie AI, Amazon Q, CodeGPT, Codeium and Llama Coder) and dedicated IDEs (such as Cursor). Email and text message completion, as seen in Gmail, LinkedIn messaging and Apple Messages. - Source: dev.to / about 1 year ago
Is there a way to use Visual Studio Code and a co-pilot AI tool to help with pair programming ? Github Co-pilot needs to pay. What about codegpt.co ? Does this work. Any suggestions ? Source: almost 2 years ago
I work all the code with the Code GPT extension to create and learn code. You can review it at this link: https://codegpt.co. Source: over 2 years ago
1- improve your prompts 2- use โembeddingโ for large texts 3- train your own model with fine tuning to get better completions 4- try others providers like Cohere or AI21 5- you could test diferente prompts and providers with this Visual Studio Code extension https://codegpt.co. Source: over 2 years ago
Any suggestion for improvement is welcome. In this link, you can find the complete documentation: https://codegpt.co. Source: over 2 years ago
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