Ever wished you could just describe a coding problem and have an AI automatically generate comprehensive test cases, implement the solution, and iteratively improve it until everything works perfectly?
What a great tutorial! This is very interesting. But is it really useful in corporate and multidisciplinary environments? As a programmer, I don't see any way to do something that first indexes an entire monstrous project, such as a real-life application for an international client, and then, knowing the context of the entire project, identifies styles and patterns used by the team, as well as functions and variables used in the project, such as utility functions created by the team. That is, the agent can create a function, but if a function has already been created for that case, use it; don't create a new one yourself. Also, refactoring legacy code or parts of the code without affecting or corrupting the integration branch or Git workflow for your other colleagues is impossible. Testing everything well and generating quality, production-ready code without duplication and without creating conflicts between branches is something that is currently impossible.
Thank you for sharing this amazing PocketFlow tutorial! The intelligent code generator described in the article is truly impressive, especially its implementation and application in the Python environment. However, I'm currently working primarily with Java for my development projects. I'm curious to know: Are there any plans for a PocketFlow-Java tutorial in the future? If so, I'd be really excited to learn how to apply similar intelligent workflows to my Java projects, which would significantly boost my development efficiency!
What a great tutorial! This is very interesting. But is it really useful in corporate and multidisciplinary environments? As a programmer, I don't see any way to do something that first indexes an entire monstrous project, such as a real-life application for an international client, and then, knowing the context of the entire project, identifies styles and patterns used by the team, as well as functions and variables used in the project, such as utility functions created by the team. That is, the agent can create a function, but if a function has already been created for that case, use it; don't create a new one yourself. Also, refactoring legacy code or parts of the code without affecting or corrupting the integration branch or Git workflow for your other colleagues is impossible. Testing everything well and generating quality, production-ready code without duplication and without creating conflicts between branches is something that is currently impossible.
What a great tutorial! This is very interesting. But is it really useful in corporate and multidisciplinary environments? As a programmer, I don't see any way to do something that first indexes an entire monstrous project, such as a real-life application for an international client, and then, knowing the context of the entire project, identifies styles and patterns used by the team, as well as functions and variables used in the project, such as utility functions created by the team. That is, the agent can create a function, but if a function has already been created for that case, use it; don't create a new one yourself. Also, refactoring legacy code or parts of the code without affecting or corrupting the integration branch or Git workflow for your other colleagues is impossible. Testing everything well and generating quality, production-ready code without duplication and without creating conflicts between branches is something that is currently impossible.
Agree this is more a tutorial for a simple task, but not for practical use.
Thank you for sharing this amazing PocketFlow tutorial! The intelligent code generator described in the article is truly impressive, especially its implementation and application in the Python environment. However, I'm currently working primarily with Java for my development projects. I'm curious to know: Are there any plans for a PocketFlow-Java tutorial in the future? If so, I'd be really excited to learn how to apply similar intelligent workflows to my Java projects, which would significantly boost my development efficiency!
Will try to write some but i haven't used java for like 5 years 😅
What a great tutorial! This is very interesting. But is it really useful in corporate and multidisciplinary environments? As a programmer, I don't see any way to do something that first indexes an entire monstrous project, such as a real-life application for an international client, and then, knowing the context of the entire project, identifies styles and patterns used by the team, as well as functions and variables used in the project, such as utility functions created by the team. That is, the agent can create a function, but if a function has already been created for that case, use it; don't create a new one yourself. Also, refactoring legacy code or parts of the code without affecting or corrupting the integration branch or Git workflow for your other colleagues is impossible. Testing everything well and generating quality, production-ready code without duplication and without creating conflicts between branches is something that is currently impossible.