April 2026
Intermediate
530 pages
11h 47m
English
The emergence of generative artificial intelligence is reshaping the way software systems are designed and implemented. Development environments are no longer limited to human engineers writing code line by line. Instead, modern workflows increasingly involve AI systems capable of generating large amounts of code, proposing architectural solutions, and even refactoring existing implementations. While this transformation significantly accelerates productivity, it also introduces a new set of challenges related to architectural coherence, traceability of technical decisions, and software security.
Historically, engineering governance practices such as Architecture Decision Records (ADRs) and Request ...
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