The Uncanny Valley Of Code: Why AI-Generated Code Is So Hard To Debug | HackerNoon
When code can be generated quickly, checking the correctness of the generated code becomes a major bottleneck, shifting priorities between system efficiency and programmer effort.
Kiro's output also includes a list of services and actual code that's pushed to Git, ensuring that developers have the necessary resources at hand for their projects.
AI-generated code is in vogue: Developers are now packing codebases with automated code - but they're overlooking security and leaving enterprises open to huge risks
The rise of AI in development is leading to codebases that are predominantly AI-generated.
Siddiq et al. (2022) noted that code smells were prevalent in suggestions from Copilot, identifying 18 distinct types highlighting potential quality issues.
Refactoring 027 - How to Remove Getters | HackerNoon
"The main point of the article is to replace simplistic getters with behavior-rich methods that encapsulate the operations pertinent to the internal state."
The Testing Hack That Makes Bugs Easier to Catch (and Code Easier to Read) | HackerNoon
Table-driven testing is a testing paradigm where multiple test cases are defined in a structured format, typically as a collection of inputs and expected outputs.