In the AI era, is it still worth spending significant time reading deep CS books like Designing Data-Intensive Applications by Martin Kleppmann?
Part of my hesitation is that AI tools can generate implementations for many distributed system patterns now. At the same time, I suspect that without understanding the underlying ideas (replication, consistency, partitioning, event logs, etc.), it’s hard to judge whether the AI-generated solution is actually correct.
For those who’ve read DDIA or similar books, did the knowledge meaningfully change how you design systems in practice?
In the AI era, is it still worth spending significant time reading deep CS books like Designing Data-Intensive Applications by Martin Kleppmann?
Part of my hesitation is that AI tools can generate implementations for many distributed system patterns now. At the same time, I suspect that without understanding the underlying ideas (replication, consistency, partitioning, event logs, etc.), it’s hard to judge whether the AI-generated solution is actually correct.
For those who’ve read DDIA or similar books, did the knowledge meaningfully change how you design systems in practice?