🤖Devin, the first AI software engineer, shows promise but still has some limitations.
💡Devin successfully completed projects like a tic-tac-toe game and a digit classification application.
🚀Devin's GitHub integration and migration of TensorFlow 1 code to TensorFlow 2 impressed me.
🔑Devin allows for user input and corrections during its work process.
❌Devon encountered issues, such as unused code and misplacement of buttons.
Did Devin live up to the hype of being the first AI software engineer?
—Devin shows promise, but it still has some limitations and encountered issues during the projects.
Was Devin able to complete all of the assigned projects?
—Devin successfully completed projects like a tic-tac-toe game and a digit classification application, but encountered issues with the lunar lander project.
Did Devin integrate well with GitHub?
—Yes, Devin was able to integrate with GitHub and successfully run the code from the assigned GitHub repository.
Did Devin handle user input and corrections well?
—Yes, Devin allows for user input and corrections during its work process, making it interactive and adaptable.
Were there any notable issues or limitations with Devin?
—Yes, Devin encountered issues such as unused code and misplacement of buttons, which affected its overall performance.
00:00Introduction to my experience testing Devin, the first AI software engineer.
02:44Overview of Devin's features and interface for project collaboration.
03:18Evaluation of the first project: a digit classification application.
05:59Evaluation of the second project: a tic-tac-toe game.
09:14Evaluation of the third project: the lunar lander application, with a focus on the GitHub integration.
12:12Discussion of Devin's performance and limitations.
13:11Final thoughts and assessment of Devin's potential and areas for improvement.
