To me, the problem with this new paradigm isn’t trust but a whole new way of working.
Trust isn’t needed if we treat code generated by the bots like any other kind of code : it needs to be reviewed and the developer always has the responsibility of being an expert on the code they ship.
I use Claude Code + Tidewave MCP + my own documentation and examples and claude is able to generate code that is useful and correct, and test it, by following on what is already built, then suggest refactors if this “inspiration” leads to too much duplication.
The days I use it are absolutely exhausting ! The speed boost comes with so much code to read, review, think about and potentially correct… The code has to be read and reviewed thoroughly, patterns should be evaluated and tought about system-wise.
In a single day, writing part of a feature is so, so much more gentle than thoroughly reviewing N whole features and their tests… even if the model follows my style (which is even more exhausting : since it looks like code I would have written, it is harder for me to spot errors than if it was code that looked written by someone else, because it looks too familiar at first glance).
So, to me the problem of trust is maybe moved a bit further : what I do not trust is review of AI-generated code by another AI following a spec.
