Article: Five Ways To Use AI Coding Agents to Improve Your Software Architecture
Modern architectures often use legacy services for specific tasks, but these services may lack accurate documentation and using them can be risky if…
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Airbnb Cuts Authentication Code by 60% with Server Driven Architecture
Airbnb redesigned its authentication architecture around server driven flows and policy based challenge selection. The new Flexible Authentication s…
Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules
Deterministic rules safeguard hard metrics, but what about architectural intent? Discover how agentic fitness functions combine AI agents and versio…
Article: Comprehension as an Architectural Characteristic: A System That Is Not Understood Cannot Evolve Safely
As AI commoditizes code output, system comprehension silently decays, creating cognitive debt that threatens safe architectural evolution. This arti…
Article: Enabling Evolutionary Architecture Through the Preservation of Change Locality
Why do simple features suddenly require cross-team negotiations? In this article, explore how boundary drift quietly destroys change locality and in…
Article: An Evolutionary Architecture Pattern for Managing AI’s Pace of Change
Traditional API gateways assume deterministic services and simple schemas - assumptions agentic AI breaks. Discover why enterprise engineering leade…
Article: Comprehension at AI Speed: Building a Context Store for Evolutionary Architecture
AI makes the first 80% of development feel fast, but hides architectural complexity until it's too late. To prevent system instability, engineering…
Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines
Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddin…
Uber Improves Restaurant Recommendations Using Real-Time Signals and Listwise Ranking
Uber updates its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model. The syste…