GitHub Copilot Meta Prompts

What are Meta Prompts

What are we talking about?

Developers gladly use GitHub Copilot while new developing applications
But they encounter challenges for more complex use cases - reverse engineering, or optimizing code etc

Yeah, I've heard about it, how are we solving it?

The root cause analysis revealed Developers

Weren't sure how to provide "adequate" problem context
Weren't comfortable with the "black box" nature of Copilot and demanded clarity on "the how"
Required the suggestions in particular format - like a JSON payload, and Copilot responses wasn't matching

This is where Meta Prompts come in

Sounds interesting tell me more

Meta Prompts

are a recent Phenomenon (Check References below)
emphasize Structure and Syntax of the prompt
use Type Theory for clearer classification of the prompt elements
leverage LLMs ability to parse and understand Structured data (XML, JSON etc) better
are more effective when emphasis is on the "how" rather than the "what"?

Makes Sense, is there a prescribed format

Could be XML or JSON
Could follow one of the Prompt crafting frameworks like CO-STAR or TIDD-EC

Got it, How does this look in real life?!

Let's do a quick demo!

References