DEVELOPER EXPERIENCE

DevX - Enhancing developers experience

DevXLLMsPromt EngineeringGen AI

Easing developer tools for general audience

I have struggled to write my own code and make it work, and here I am building a design system, replacing my own website from platforms like webflow, wordpress, and other to React, and easily host it on vercel.

A year back this was not feasiable for designers, and even if it was, I would take a year to fetch this feat. Studying from time at hand even advanced prompting techniques dosen't gurantee certainity.

Prompting techniques
Prompting techniques

Key changes in the development flows and structure due to Generative AI

  1. Easy boiler plate code
  2. Deep dive of code
  3. Production grade optimization
  4. Debugging and easy prompting

Looking at the sequence of actions that allow anyone with priliminary knowledge to run and debug code. Most folks who would pursue code, would be pulled in the whirlwind of errors, the stigma of developer language(terminal commands), and syntax. When this arena gets an easy way to fiddle and concur issues, interface development democratize.

Are we there yet

Currently Copilot, Cursor and other platforms, are competing to create a seamless experience for the world of developers, but looking at emerging trends we might shift back to writing Pseudo code like prompts.

As the models perfect to achieve +90% of accuracy with respect to worlds best developers, the journey of writing promts demands accuracy as well.

Prompting sequence can be generalized as Prompt -> Generate -> Insert -> Validate
Prompting sequence can be generalized as Prompt -> Generate -> Insert -> Validate

Using guided prompts for generating
Using guided prompts for generating

While users can't just keep hitting the GPU resource, eventually thwy would want achieve accuracy with least prompting, writing the perfect prompt and moving to resolve test cases.

Heavy prompting just means higher task completion rates, editors like VS Code, Cursor, etc might get us to prompt templates which have higher accuracy to fulfil development needs.

Conclusion

As we know prompt efficiency will lead us to better code outcomes, features around accuracy of prompts, prompt structuring, low-code no-code like structures can be seen in near future.



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