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AI pitfalls

3 articles · Page 1 of 1
dbaplus Community
dbaplus Community
Aug 23, 2026 · R&D Management

Why a “Big Mud Ball” Can Be a Good Architecture – Insights from a Former Google/AWS Architect

In this interview, former Google and AWS senior architect Gregor Hohpe explains that architects should amplify their teams rather than be the smartest, emphasizes risk reduction as the core value, advocates simplicity, visual thinking with paper and pen, warns against over‑reliance on AI, and shows how even a “big mud ball” can be a pragmatic architectural choice.

AI pitfallsSystem Designleadership
0 likes · 25 min read
Why a “Big Mud Ball” Can Be a Good Architecture – Insights from a Former Google/AWS Architect
TonyBai
TonyBai
Mar 29, 2026 · Artificial Intelligence

Why Relying on AI to Write Code Is Leading Us Into a Dead End

The article warns that unchecked AI‑generated code creates massive, unmaintainable codebases, explains why agents amplify design flaws without human feedback, and offers concrete guidelines for developers to keep control and preserve essential engineering discipline.

AI AgentsAI pitfallsSoftware Engineering
0 likes · 9 min read
Why Relying on AI to Write Code Is Leading Us Into a Dead End
Digital Planet
Digital Planet
Mar 26, 2026 · Industry Insights

The 5 Fatal Mistakes That Sabotage AI Efficiency Projects (And How to Avoid Them)

Enterprises seeking AI‑driven efficiency often stumble into five common traps—poor selection, perfectionism, over‑control, fighting AI in its strong suits, and unvalidated delivery—each dramatically cutting ROI unless a disciplined, human‑centric process is applied across the AI lifecycle.

AI AdoptionAI EfficiencyAI pitfalls
0 likes · 15 min read
The 5 Fatal Mistakes That Sabotage AI Efficiency Projects (And How to Avoid Them)