> Current AI tools are unable to keep large codebases in context, making it impossible to reason about system-wide impacts.
they have trouble even with small database, recently I was experimenting with generating a small script
Code-gen tools generated nice testcases from description (this was usable!).
But code they generated failed on exactly this testcases, feeding back crashes/test failures resulted in no improvements. I tried several (Claude, Gemini, ChatGPT, Mistral). None was able to do this.
> Current AI tools are unable to keep large codebases in context, making it impossible to reason about system-wide impacts.
they have trouble even with small database, recently I was experimenting with generating a small script
Code-gen tools generated nice testcases from description (this was usable!).
But code they generated failed on exactly this testcases, feeding back crashes/test failures resulted in no improvements. I tried several (Claude, Gemini, ChatGPT, Mistral). None was able to do this.
AI or LLMs? Not specified in the article.
LLMs will never be ready.
It is already is. Sam Altman told you right in your face.
These AI agents will go after both mid-level and senior-level engineers and set the price of them in a couple of years time.
What is also certain is that there will be far less engineers hired.
Right now? No way. In the future? Maybe.
That's what I felt too, described what's missing in my article