Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules
Key Takeaways
Evolutionary architecture makes the next change safer by turning architectural intent into continuous feedback rather…
An Evolutionary Architecture Pattern for Managing AI’s Pace of Change
Key Takeaways
AI capabilities change faster than enterprise systems can safely absorb, and the gap is permanent…
Comprehension at AI Speed: Building a Context Store for Evolutionary Architecture
Key Takeaways
AI ships code at machine speed, but the understanding does not ship with it. That…
Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent
LinkedIn has introduced a Cognitive Memory Agent (CMA) as part of its generative AI application stack to enable…