I'm reading papers about tree diff techniques, to try to improve my structural diff tool.
Most papers focus on diffing XML. Their techniques are clever and relevant, but crikey some of the intro quotes really haven't aged well.
miniblog.
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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?
