Develop disciplined, detail-oriented habits—like preferring enumerations over constants—to produce clearer, less error-prone, and more maintainable code.
Is AI the end of software engineering or the next step in its evolution?
AI coding tools perform best on tightly constrained, localized tasks but produce overengineered, erroneous outputs when asked for broad or poorly specified changes.
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.