However, some users also express concerns about the accuracy of the code generated by these AI tools, and the need to thoroughly vet the code before use. Some users also find the integration of these tools in their IDEs awkward. Despite these concerns, many users find these AI tools to be a valuable addition to their workflow, helping them save time and effort on mundane tasks, and even aiding in learning new skills.
Key takeaways:
- AI tools like ChatGPT and Copilot are being used extensively by software engineers for tasks such as writing boilerplate code, debugging, and context immersion. They are seen as a force multiplier in the field.
- These tools are also being used for tasks like generating code for specific tasks, assisting with engineering management, and even as a conversational search tool.
- There are mixed opinions on the effectiveness of these tools. Some users find them extremely helpful, while others express caution and verify the code generated by these tools before using it.
- Despite some skepticism, many users find value in these tools, especially in their ability to save time on mundane tasks, provide immediate responses, and offer a form of pair programming that's available round the clock.