Article: Enabling Evolutionary Architecture Through the Preservation of Change Locality
Source: InfoQ.com· Michael Fischer, Nicholas Lawrence, Monica Karekar· August 3, 2026
SynaBot summary
New research highlights how 'boundary drift' in software development erodes change locality. This makes even small feature updates require extensive cross-team coordination, increasing complexity and slowing down development cycles.
Key takeaways
- Boundary drift hinders localized changes in software.
- Cross-team coordination increases with poor change locality.
- Cognitive load on development teams rises significantly.
- Sociotechnical strategies can help preserve change locality.
Why it matters
For AI professionals, understanding how software architecture impacts development speed is crucial. Poor locality forces AI teams to spend more time on coordination and less on innovation, potentially delaying the deployment of new AI tools and features.
This story was reported by InfoQ.com. Read the full original article:
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