āthe penalty for having a āhigh-debtā codebase is now larger than everā
https://www.gauge.sh/blog/ai-makes-tech-debt-more-expensive
Generative AI doesnāt like spaghetti code either.
One of the hardest things is for companies to change code base from old to new because of the cost to rebuild all the hacked together integrations.
Wouldnāt this be a perfect use case for AI? To rebuild it faster and with cleaner code.
Get to a new test system faster on a new code base to be able to make sure it all works before transferring to the new infrastructure?
Indeed itās the perfect way for companies with large complex codebases to start introducing it with new leaner components instead of waiting for the generative AI to get good enough to be used with Ye Old Code. The race is already on.
