Coding & Software AI
Code generation
Using AI to produce source code from natural-language instructions or examples.
Example
The assistant creates a first draft of a data-validation function from written requirements.
Why it matters
It gives developers a starting implementation without writing every line manually.
You'll hear it
“This code looks plausible, but does it handle a missing value?”
Can you control it?
Yes
Yes. You can often use or adjust code generation directly when the product supports it. The available options and their effect still depend on the tool.
Common questions
- Can generated code refer to something that does not exist?
- Yes. It may invent functions, libraries or options.
- Does running without errors prove the program is right?
- No. It can produce the wrong result without crashing.
- Can a short request leave important choices unstated?
- Yes. The AI may guess at behavior that should have been specified.