Most AI projects fail, and a key factor is insufficient understanding of the business domain, according to a review of 26 research papers where 'business understanding' was cited in 68% as beneficial.…
Domain-Driven Design (DDD) principles are more relevant than ever as AI coding tools handle implementation details, according to a software engineering perspective. The author argues that understandin…
Martin Fowler says context is the bottleneck for coding agents, and a developer's experience shows that inconsistent code stems from ambiguous domain vocabulary, not weak models. In an enterprise NL-t…
Generative AI has made writing code nearly free, shifting software engineering's value from code production to clarity, specifications, architecture, and code review. Developer Kodel introduces Spec D…
A developer argues that AI-generated code cannot replace human judgment, domain understanding, and system thinking, warning that overreliance on AI tools leads to skill atrophy and shallow solutions. …
A developer building an agent-based project describes a pragmatic approach to guardrails: each check in the toolchain was added only after a real failure occurred, not designed upfront. The method, il…
A developer shares a practical guide for staying updated in software engineering, emphasizing the importance of building fundamentals in machine learning and deep learning through free resources like …