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Introduction
Copilot has become a major buzzword when it comes to the new functions and features based on Generative AI technologies. These large language models practically spell out the steps to accomplish a task in the manner requested by a user. In their optimum state, they not only teach or advise but also follow up and perform the activity.
What are Copilots?
The idea behind Generative AI is to use parameters like specialized roles in a specific technology. This drives work towards specific goals or outcomes tied to the resulting outputs. The prompt might include phrases like “As a Java Developer” and “Using Azure Communication Services” to request initial class creation for a program. Essentially, the Copilot provides context-aware responses that can include actionable commands rather than just instructions or code.
Copilots are like the “Wizards” of the past, guiding you to an outcome using natural language instead of checkboxes and dropdowns. These features accelerate work by removing the requirement for precise machine or system instructions. Low Code tools exemplify rapid development, as they handle underlying details with minimal effort.
Benefits of Copilots for Low Code Development
Despite simplification, complex needs may persist, and even so-called Low Code solutions can seem monolithic, filled with arcane formulas that raise the bar. In this vein, we witness Copilots in Low code rising to aid us at a higher level, where the air is thinner than before.
What does life look like in the sky with these tools? Let’s look at some advantages to using those Copilots such as the ones with Power Platform or even GitHub:
• They can reduce the learning curve for new or unfamiliar technologies by providing guidance and examples in natural language.
• They can increase productivity and efficiency by automating some tedious or repetitive tasks such as generating code, testing, debugging, or deploying applications.
• They can enhance creativity and innovation by suggesting alternative or novel solutions that may not be obvious or conventional.
• They can improve quality and reliability by checking for errors, inconsistencies, or best practices and offering suggestions for improvement.
Conclusion
To conclude, Copilots aren’t hype; they’re the logical evolution needed for thriving Low Code development and ROI. We must embrace ongoing innovation and technology advancements to stay ahead. Copilots can be our allies in this journey, helping us achieve more with less effort and time. They can be our mentors, collaborators, and assistants in creating amazing applications that solve real-world problems. Copilots are good for Low Code development because they empower us to do even more with much less.
A quick disclaimer: I’ll always mention if AI was used in my articles. Here, it was used as an editor for rating, suggesting headers, formatting, and potential missing content. The headers I liked and even the formatting suggestion for my bullet list was nice, but the extra content was a case of either doubling your reading or creating a new article. I used the AI to give me a middle ground by looking at some sources I use as part of my daily work and happily produced the following links showing great examples of Copilots in action. Feel free to check them out to further your understanding of the topic! Happy Copiloting!
- Announcing a next-generation AI Copilot in Microsoft Power Apps that will transform low-code development | Microsoft Power Apps
- Copilots – Code With Engineering Playbook (microsoft.github.io)
- How to generate code with prompts using Copilot [2 of 6] | Microsoft Learn
- Learn about Azure, AI, and Microsoft Copilots – Microsoft Community Hub
