Software selection is now hard, because of AI flood of projects

The author argues that LLM coding has made it easy to generate projects that appear well-tested, documented and organized, so traditional selection criteria like test results, code coverage and documentation no longer signal quality. With the number of such projects growing, evaluating options takes far more effort, and community size is often the only remaining criterion. The author lists tools such as Slopscore, Antislop and Stopslop for spotting LLM-generated code and calls for repository badges or an "AIness" score.