Agent-native Architectures: How to Build Apps After Code Ends
This article strongly resonates and has clear angles for your perspective
Quick Take
This is a comprehensive framework for building AI-native apps that could directly impact Brian's work at the fintech startup and his side project automation. The emphasis on atomic tools, emergent capability, and mobile-first patterns aligns perfectly with his TypeScript/serverless background and print-on-demand automation interests.
Relevant Domains
Blog Angles
"I Rebuilt My Print-on-Demand Pipeline Using Agent-Native Architecture"
Moving from rigid automation scripts to agent-driven workflows unlocked capabilities I never coded for
Specific story about how his current automation breaks when Etsy changes their UI, but an agent could adapt
"Why Your Fintech Startup Should Think Agent-Native (Before Your Competitors Do)"
Credit card offer platforms built with agent-native patterns will eat traditional rule-based systems
Real examples from his webhook integrations that could be simplified with agents
"The Mobile Agent Paradox: Why iOS Makes AI Apps Harder and Better"
Mobile constraints force better agent architecture decisions that benefit desktop apps too
His experience with Chrome extensions vs mobile development challenges
"Five Atomic Tools That Replace 50 Features (Lessons from Agent-Native Design)"
Granular primitives create more value than purpose-built features in AI-driven applications
Specific tools in his current stack that could be decomposed this way
Key Quotes
A tool is a primitive capability. A feature is an outcome described in a prompt, achieved by an agent with tools, operating in a loop until the outcome is reached.
Whatever the user can do through the UI, the agent should be able to achieve through tools
You're not trying to imagine every feature upfront. You're creating a capable foundation and learning from what emerges.