Developer experience, concrete examples, contextualized, including flaws/edge of capabilities.
Ideation, Maintenance, Coding, Testing, Debugging, …
Chapters:
- Speaker Introductions
- 00:03:03 - Personal experiences with AI in coding
- 00:14:41 - Updating regular expression engine
- 00:31:39 - AI Assisting in Code Writing and Fixing Mistakes
- 00:34:01 - AI-Driven Regex Capabilities for Uri Templates
- 00:37:59 - Enhancements in Memory Extensions
- 00:44:10 - Discussion about AI handling tasks and upcoming merge
- 00:46:00 - AI creates and handles test cases automatically
- 00:46:57 - AI tackles project tasks, improves efficiency, and handles edge cases
A good look into how it is and can currently be used.
“How a shitty company with an even shittier codebase full of bad design decisions uses AI” isn’t going to get me hooked on using AI.
I’ll be honest, I’ve never found regex that difficult, bit if you cannot read or write it, then it seems incredibly dangerous to blindly trust output from an AI.
What makes you think anyone blindly trusted it?
They pointed out how it was almost correct, and the two places they had to correct. Obviously, they verified it.
There and at other times, they talked about similar approaches of generating a starting point rather than “blindly trusting” or anything like that.
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Can you be more specific? What in what they present is bad use of AI?
