Today, I’ll share my journey with ChatGPT and Copilot. These tools have provided me with fresh perspectives and strategic insights, enhancing my day-to-day development tasks. I’ve even participated in 4 hackathons, where I built projects from scratch using ChatGPT and Copilot. Join me as we explore the evolving world of development and uncover the incredible advantages of those AI tools.

Every single day starts with . Here, ChatGPT and Copilot function key allies, offering fresh insights and usable code snippets for my projects. On the Nextgen Gen AI hackathon I spent greater than half of my time talking to other participants and mentors to groom the issue statement and 0 in on a superb MVP/Demoable use case for my project “Pathways”.

It’s vital to keep in mind that these AI tools enhance, not replace, human developers. They’re good at generating code snippets and solutions for common problems, but lack complete context understanding and creativity. , not full substitutes. For FiddleJam, I had to construct FE charts for my backend. I only have basic understanding of React at best. ChatGPT helped with the boilerplate which I can then adapt and enhance with copilot’s help. Fixing logic bugs along the best way.

The facility of ChatGPT and Copilot shines in code creation. They facilitate . By employing AI-crafted code snippets, developers can save effort and time, while maintaining high coding standards. When constructing out caching framework for timeseries data, iterated with various solutions. Tried out solutions where we kept all of the timeseries in memory on a regular basis, we kept only required timeseries “blocks” in memory, we pre-cached v/s we passively cached. We could construct all these configurations out in a short time and integrate it with our backend and see what works best.

In my experience, , especially for brand spanking new projects. It facilitated tailored code generation, while Copilot shined in speeding up ongoing projects. The alternative between these tools trusted the project at hand. ChatGPT eased the strategy of coding experimentation. It helps developers test various solutions before deciding on one of the best approach. Copilot, then again, accelerates coding once the answer is obvious.

When using ChatGPT, one challenge I encountered was the limitation of the context window, which made the model’s responses unreliable once exceeding that limit. Moreover, there may be a difference in response quality between GPT-3.5-turbo and GPT-4, with GPT-4 generally producing higher results. Nonetheless, there may be currently a limit on the variety of messages GPT-4 can support. To beat these challenges, I discovered a workaround through the use of and getting it to a workable state, after which transferring the conversation to . This mix allowed me to leverage the improved quality of GPT-4 while bypassing the restrictions of context windows and message restrictions.

A necessary aspect of product development is documentation. That is where ChatGPT stands out. It simplifies the creation of comprehensible guides, making complex code functionalities accessible to users. ChatGPT’s interface helps developers get detailed explanations for code elements, easing the documentation process.

This exploration also raises questions on the tech hiring process. For instance, should we prioritize someone’s knowledge of the right way to “implement” Red-Black trees, or should we focus more on their ability to articulate the advantages and appropriate use cases for such trees, in addition to ensuring the correctness of an implementation? We must always evaluate individuals based on their logical reasoning, their ability to differentiate between good and bad solutions, their communication skills, and their broad understanding of software development.

I strongly encourage developers to embrace AI tools of their toolkit, as they supply significant leverage. By doing so, they will alleviate concerns about AI replacing coding and as an alternative cultivate a way of awe for the remarkable opportunities these tools bring to the realm of software development. It’s crucial to shift our interested by “coding” beyond merely producing lines of code and adopt a holistic, strategic perspective. This shift enables developers to take ownership of problems from end to finish, spanning from the shopper to delivery, and empowers them to turn out to be more impactful contributors within the software development process.