Efficiency is not magic. Its bounded. Above and below limits the environment can sustain it, systems will destabalize. If All the Great White Sharks magically get more efficient at hunting over night ecosystem will collapse. Individuals and teams have never scaled at this speed to the levels they have. And there is no signal at system wide level that a sustainable limit has been crossed. So People will happily believe things are getting more efficient at individual/team scale while at system scale things get more fragile. This is why we ended up with central banks deciding interest rates and controlling money supply. Before that any one could print cash. They all thought they were great efficient geniuses. The chimp troupe us not prepared for stuff that effects the entire system.

I’ve been making Codex and Claude get their work reviewed by most recent best performing model of their own family, and each other’s, for months.

On top of that, we have been running multi-model AI reviews on every PR through their respective GitHub integrations (Codex, Gemini, Copilot, Greptile, CodeRabbit).

They never fully overlap, and yet they somehow usually all miss the same things. The most significant improvement came from having agents commit their plan along with their work.

On the upside, it means I get to focus my reviews on different things.

Honestly, we should make a world that is enjoyable and productive for humans. Not relentlessly optimizing for agents.

> I'd question the added value of manual PR reviews at this point.

Yeah, why not reduce the team size to zero while you are at it?

These generalizations about software engineering have never been useful, IMO. Context is everything, there is no flow chart for building a perfect software process.

Although, I'd say you are absolutely delusional if you think we are universally beyond the point where manual review of pull requests is required.

We can also slow down (or keep old pace) and still ship quality.

A bit sick and tired of arguments like yours