WorkThe story, in brief
Article: Comprehension at AI Speed: Building a Context Store for Evolutionary Architecture
AI makes the first 80% feel fast. The last 20%—architectural debt—hits like a wall.
The KeyNews take
Why it matters
Engineering leaders need a framework to manage AI-assisted development without sacrificing system stability. This is a playbook for comprehension-first architecture in the age of agent-driven code generation.
The key facts
5 to know80% of AI-assisted development feels fast but masks architectural complexity
Proposes 'Context Store' pattern unifying spec-anchored SDD, TDD, and automated fitness functions
Targets AI agents and human code reviewers operating in repo-bound governance
Published by InfoQ (professional architecture/engineering audience)
Focus: systemic comprehension over raw throughput as engineering principle
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: AI makes the first 80% of development feel fast, but hides architectural complexity until it's too late. To prevent system instability, engineering leaders must shift from raw throughput to systemic comprehension. By unifying spec-anchored SDD, TDD, and automated fitness functions into a repo-bound…