nixonperinchery

Its more of an opportunity at least for the next few years for startups to be a IT service provider and build as many software as per real business requirement using AI. As startups can be more budget friendly and quick to build and deliver. The earlier need to have a large team is no more a constraint for a Tech startup. But yes one needs to use a harness or ways to make sure they can build software using some best ones in the market.. I use Atlas.

Yes but you can take the help of AI to even architect it.

The amount of code AI writes today i don't see its possible to read and review that, and understand the code everything line by line. As the time duration in which it writes is like a human could take 1 year which it write in 2 weeks and with that speed one needs to use newer ways to validate the product. Either build a testing and code review systems or use something like bridge-terminal that could help you do that.

You dont know what you dont know upfront, we are back to the SDLC cycle of waterfall, where we discuss, and document the requirements and if needed prepare test cases as per TDD pattern and then use that to start the development same as in the old days, while it also gets merge with the agile model where the build is done so fast that in one week we may be taking up the next phase which in the old world would have taken 6 months

Yes very much, but burns a lot of credits.. so recently i added a feature to write test cases using AI and then keep it running regularly. While identifying the test cases is managed by AI and even coding those cases and run them by the AI there by when it runs we dont burn credits and get a better quality output

Yes but i manage it as i have another AI that does the code review and another one that does the testing and for all that issues you listed i made my own AI eng team that tracks and manages all of that www.bridge-terminal.com/atlas