Episode 531: Shallow feedback and my coworker is a huge sloperator

Software engineers face evolving challenges regarding professional feedback and the integration of AI-generated code. Consultants working in isolated, multi-hat roles often struggle to solicit performance feedback without appearing insecure; however, formalizing feedback loops as a standard operating procedure mitigates this perception. Simultaneously, the rise of AI-assisted development has introduced a "meat proxy" problem, where developers submit unreviewed, verbose code generated by LLMs, effectively outsourcing the cognitive labor of code review to teammates. This breaks the social contract of collaborative development, as reviewers are forced to perform initial code comprehension rather than verification. Teams must establish explicit policies—such as mandatory human review of all AI-generated output—to prevent codebases from degrading into unmanageable "slop" and to ensure that human oversight remains a meaningful, active component of the software delivery lifecycle.