Why I Quit Copilot | Prime Reacts

The speaker discusses their recent decision to stop using Co-Pilot, an AI coding assistant. They explain that the reason stems from a fresh start with their neovim configuration on a new computer, which led to forgetting to sign back into Co-Pilot. This experience has prompted them to reflect on the implications of relying on such tools and to consider the future without them. The speaker also raises questions about the number of people actively using Co-Pilot and the potential financial implications for Microsoft, the company behind the tool.

The speaker delves into a newly recognized behavior they've termed 'the Co-Pilot pause,' where they would start typing code and then wait for Co-Pilot to complete their thoughts. This behavior was not as noticeable while using the tool but became more apparent once they stopped. The speaker reflects on the potential loss of coding skills due to over-reliance on AI and the importance of maintaining and improving one's own coding abilities. They also discuss the impact of Co-Pilot on their enjoyment of coding and the creative process.

The speaker shares their thoughts on the balance between using AI like Co-Pilot to aid in coding and the importance of personal growth and learning. They highlight the benefits of turning off AI assistance occasionally to strengthen one's own skills and knowledge. The speaker also discusses the impact of Co-Pilot on their coding habits and the potential risks of letting AI take the lead in generating ideas and code. They emphasize the importance of directing AI and not letting it dictate the coding process.

The speaker talks about how the use of Co-Pilot has affected their creativity and enjoyment in coding. They express concerns that relying on AI might diminish the乐趣 of writing code and solving problems independently. While the speaker acknowledges that Co-Pilot can increase productivity, they also question whether it truly enhances the overall coding experience, especially for those who are passionate about programming. The speaker also mentions a GitHub study on developer satisfaction and happiness, suggesting that Co-Pilot might be more beneficial for those who are less experienced or struggle with programming.

The speaker discusses the importance of enjoyment in learning and mastering a skill, using the example of learning to play the guitar. They argue that to become really good at something, one must enjoy the process. The speaker also talks about the transition from initially finding programming challenging to eventually enjoying it as one gets better at it. They suggest that the key to improvement is constant learning and making time for it, and that AI tools like Co-Pilot should be used mindfully to avoid hindering personal growth.

The speaker raises concerns about the quality of code generated by Co-Pilot, especially when it is allowed to lead the coding process. They argue that this can result in bugs and poorly thought-out code. The speaker also discusses the limitations of Co-Pilot's training data, which can lead to out-of-date suggestions. They mention the importance of using good language servers and the benefits of using TypeScript for better completions. The speaker shares their decision to stop using Co-Pilot due to these quality concerns and the impact on future maintainability of code.

The speaker addresses the privacy concerns associated with using Co-Pilot, as it sends snippets of code to a remote server. They express discomfort with this practice, especially considering their interest in self-hosting and open-source projects. The speaker also discusses the default settings of Co-Pilot's individual plan, which save code snippets unless opted out of. They mention considering self-hosted, open-source AI models as an alternative to address these concerns.

The speaker reflects on the hype surrounding AI in coding, expressing feelings of fatigue and underwhelm. They consider taking a break from AI tools like Co-Pilot, questioning whether the past might be better in some aspects. The speaker also discusses the potential benefits and drawbacks of AI in coding, including the impact on productivity and the concern about contributing to the improvement of AI tools. They end with a contemplation of a future where a privacy-focused version of Co-Pilot might exist, but at a higher cost.

The speaker reiterates the concept of 'the Co-Pilot pause,' emphasizing its reality and impact on coding habits. They encourage users of Co-Pilot to try turning it off to experience and recognize this pause in their own coding process. The speaker shares their positive reaction to the video they are discussing, highlighting the importance of being aware of how AI tools can shape our behavior and思维方式.