Unlike static code analysis approaches, architectural observability needs to observe and analyze software architecture behavior (not code smells) in dynamic, production environments.

The authors also flag a recurring issue: while AI models can often generate syntactically correct code snippets, they frequently lack a semantic understanding of the overall software architecture.

Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled ...

Learn how Amazon’s Kiro AI IDE automates coding tasks, enhances workflows, and redefines software development for modern ...

If the domain is clear, if the thinking is sound, if the architecture has been well-considered – then yes, AI can help you go faster. But that’s a big if. And it starts with staying in the problem ...

Software development thrives on creativity, collaboration, and deep understanding, yet it’s often bogged down by the ...

In search of agile software architecture. In a 2013 post on his blog “Coding the Architecture,” software architect Simon Brown speculated about what an agile software architecture would look like.

Architecture, unlike it's counterparty industry, construction, has decisively become a digital industry, with almost all design taking place within popular software platforms like AutoCAD. With ...

Software architecture plays a pivotal role in the delivery of successful software, yet it's frustratingly neglected by many teams. Whether performed by one person or shared amongst the team, the ...