Coding is Easy. Architecture is Hard. Can AI Bridge the Gap?
Автор: InfoQ
Загружено: 2026-02-11
Просмотров: 3121
Описание:
In this premiere episode of the Next Generation Architecture Playbook, we sit down with IBM Fellow and computing legend Grady Booch. While the industry hypes LLMs and AGI, Grady offers a grounding reality check for senior developers and engineering leaders.
We dive deep into the difference between "vibe coding" and actual system design, why AI models are "architectural dead ends" for reasoning, and the critical responsibility that human architects must retain. Grady also breaks down the history of software engineering to explain why today’s platform era - not AI - is the true shift in the industry.
Timestamps:
00:00 - Intro
00:35 - Next Generation Architecture Playbook: Series Introduction
01:20 - Podcast Introduction: Software Architecture in the Age of AI Tools
03:29 - Three Golden Ages of Software Engineering and What Feels New and What Feels Familiar in AI Assisted Software Development
13:28 - Architecture Versus Design and What Must Remain True Regardless of AI Tools
19:55 - How AI Changes the Workflow Without Replacing the Architecture
21:51 - Why Software Architecture Is Dynamic and Civil Architecture Analogies Often Mislead
26:20 - Why “AI Architecture” Is Mostly a Language Problem in How We Describe Systems
30:34 - What the Industry Is Overhyping and What It Is Underestimating
32:48 - Where Real Productivity Gains Are Coming From and Where Integrity Is at Risk
34:11 - Architectural Guardrails for Quality and Trust - When Machines Write Code
38:09 - Responsible System Design - Human Machine Boundaries, Principles, and Guardrails
41:34 - Accountability When AI Generated Code Fails in Production
44:25 - What Architects Should Lean Into and What They Must Resist
48:24 - Closing Reflections on Privilege, Responsibility, and Joy in Computing
#SoftwareArchitecture #GradyBooch #SystemDesign #SoftwareEngineering
🔗 Transcript available on InfoQ: https://bit.ly/3ZNxdmu
💬 Grady insists that if AI code fails in production, it’s entirely the human architect's fault—do you agree with that level of accountability? Let us know below.
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