Some of our development techniques have research supporting their effectiveness, but others do not (despite advocates). Are they placebos?
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Really cute approach to reporting type errors: when there's a type error, show an example of a runtime error that the type check has prevented!
Data-Driven Techniques for Type Error Diagnosis https://escholarship.org/uc/item/59s4h4pv
On how far programming language research has come, and the maturity of tools and techniques that make more ambitious projects viable:
Generated Code Generates Overconfident Coders: https://www.deeplearning.ai/the-batch/issue-180/
A study of programmers found that using a LLM for completion produced buggier code but users were more confident in it.
I wonder if this generalises to other completion techniques?
