From the course: AI-Powered Software Development: Coding, Testing, and System Design
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AI-assisted error resolution
From the course: AI-Powered Software Development: Coding, Testing, and System Design
AI-assisted error resolution
- [Instructor] All right, so now that we've kind of built our way up and shown how these AI tools can build code at the level of a script or at higher levels such as building multiple functions at a time or even multiple classes, the next thing that we're gonna take a look at is how AI tools can be used for simple debugging and error resolution. Now I'll start off by saying here that in my experience the extent of debugging an error resolution that AI is capable of is generally limited to smaller problems. If you have some very large wide ranging problem that involves many different files, in general, I haven't had great luck with AI tools finding problems in situations like that. But in smaller situations like what we have in this file here, AI tools are usually pretty good at figuring out what's wrong and fixing it. So what I have here are two examples of very common but also very subtle problems in Python…
Contents
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Code generation and completion: What are my options?5m 9s
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(Locked)
Generating scripts8m 40s
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(Locked)
Generating functions8m 27s
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(Locked)
Generating classes5m 4s
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(Locked)
AI-assisted error resolution5m 8s
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(Locked)
Code review and quality checks3m 44s
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(Locked)
Creating documentation3m 3s
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(Locked)
Challenge: Creating a simple application2m 6s
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(Locked)
Solution: Creating a simple application9m 6s
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