Our engineering team’s success with GitHub co-pilot

As a software development company, we’re constantly looking for ways to improve our productivity...

As a software development company, we’re constantly looking for ways to improve our productivity and deliver better results for our clients. That’s why we were thrilled to try out GitHub Co-pilot when it was launched earlier this year. Co-pilot is an AI-powered tool that leverages machine learning to suggest code snippets and help developers write better code faster.


Since adopting Co-pilot, our engineering team has seen a significant increase in productivity and efficiency. One of the most remarkable examples of how Co-pilot has helped our team was when our Spanish engineer, Meritxell, wanted to write a blog post in her native language about RSpec doubles. Meritxell is a talented developer, but was struggling to find the right words and phrasing to convey her ideas clearly.


That’s when Co-pilot came to the rescue. Meritxell simply typed her thoughts in Spanish, and to her surprise, Co-pilot generated the most perfect Spanish blog post she could have imagined. The tool not only provided accurate translations, but it also helped her to identify and correct mistakes in her grammar and vocabulary, giving her the confidence to produce a polished and professional piece of writing. Meritxell was pleased to see that Co-pilot was able to capture the nuance and complexity of the Spanish language, even better than she expected, and she was thrilled with the final result.


Co-pilot also provided Meritxell with suggestions for code snippets and technical terms related to RSpec doubles that she could incorporate into her post to make it more informative and engaging for our Spanish-speaking audience.


The result was a blog post that not only met but exceeded our expectations. Meritxell’s use of Co-pilot helped her to write with clarity and precision, and her ability to incorporate technical terms and concepts made the post a valuable resource for developers in the Spanish-speaking community who were interested in test doubles.


Since then, we’ve continued to use Co-pilot on a daily basis to help us write better code faster. The tool has become an integral part of our workflow, and we’re constantly discovering new ways to leverage its power to improve our productivity and output.


We’re excited about the future of AI and where it can take us. As Co-pilot and other AI-powered tools continue to improve, we believe that they will become even more essential for software developers who want to stay competitive in a rapidly-evolving industry. We’re looking forward to exploring new applications of AI and discovering new ways to use it to supercharge our engineering team and deliver better results for our clients.


Of course, Co-pilot is not a substitute for human creativity or expertise. But as a tool that can help developers work more efficiently and effectively, it has certainly made a positive impact on our team’s productivity and output. It’s helped us to save time, reduce errors, and produce better-quality code.


We’re excited to see how else we can leverage Co-pilot to improve our work and deliver better results for our clients. If you haven’t tried it yet, we highly recommend giving it a shot and seeing how it can supercharge your own development efforts.

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