With all the myths and hyperbolae circulating regarding AI, I'd love to know what it's like at large software companies adjusting to this brave new world.
It's easy for a small team to adjust workflows and roles, but I just imagine the office politics must be a waking nightmare in big organisations right now.
As an individual contributor I do not have insights into office politics. While we have >10k developers, it is not a software company.
Top leadership and/or investors believe in the benefits of AI.
Thus, skeptics stay silent. Who wants to loudly contradict their bosses' boss?
In practice, I do not see a big shift yet in workflows that would require a lot of politics. We just have the agent implement the code, and then it still goes through the usual code review and QA processes.
Only now with more effective models and harnesses do many developers realize how good these tools are at investigating bugs, etc.
Before the price-decreased GPT 5.6 Luna we barely had access to enough cheap AI to last for a month of work.
In my company GitHub CoPilot was rolled out on a global scale last year.
LLMs from Anthropic and co we get through a central tool which buys api tokens from Azure and AWS.
Its surprisingly fast, probably thefastest i have seen technology getting rolled out.
Im more worried about the small/middle sized companies which are software companies but don't get that they are. You know the companies 100% depending on IT but not having the right or good or enough people who often in interviews struggle with basics like code review.
It's easy for a small team to adjust workflows and roles, but I just imagine the office politics must be a waking nightmare in big organisations right now.