Radical Accountability

Wes McKinney argues AI has fundamentally shifted software creation economics. Engineering time constraints no longer provide legitimate excuses, so mediocre software vendors face displacement by individuals empowered to build superior alternatives.

Origins in pandas development during the 2008 financial crisis -- direct user feedback and book-driven development shaped the project.

Database systems and data engineering remain among the last technology domains resistant to AI disruption. The Beaver benchmark demonstrates frontier models struggling with complex real-world SQL schemas.

Personal software development: champions individual creators building bespoke solutions. "Right now you can have exactly what you want. You no longer have to make compromises."

"AI is going to create... radical accountability for creators of software projects."

"The only excuse is that you don't know what the right thing to do is or you have bad taste."

"2026 is going to be about... taking everything bad and mediocre, burning it to the ground."

Software quality evaluation increasingly depends on creator credibility rather than features or documentation.