Insights

Architecture decisions, scaling patterns, and lessons from building AI systems in the real world.

LatestMay 30, 20264 min read

Why AI Agent Architectures Fail: Lessons from Industry Missteps

Analyzing root causes of failure in AI agent production architectures with Falnoa's structured engineering perspective.

AI agent architectureReliabilityScalingproduction systemsCybersecurity

2026

May 28

May 284 min read

Why Most AI Agents Fail in Production: Backwards Architectures

Dissecting common production failures in AI agent lifecycles and offering practical guidance for robust architectures.

ai-agent-architectureproduction-infrastructure4 min read

May 27

May 275 min read

Meta's Adaptive Ranking Models: Lessons for Scaling AI Agents

Examining Meta's Adaptive Ranking Model and its implications for scaling AI agent architecture in complex environments.

agent architectureScaling5 min read

May 25

May 255 min read

NIS2 Compliance: Engineering for Cyber Resilience at Scale

How engineering teams can address NIS2 cybersecurity compliance challenges while building resilient systems for critical infrastructure.

NIS2Cybersecurity5 min read

May 23

May 234 min read

AI Agent Lifecycles: Lessons from AWS's Architecture Guidelines

Analyzing AWS's lifecycle approach to scalable AI agent architectures & Falnoa's take on reliability at scale.

AI agent architectureScaling4 min read

Apr 20

Apr 205 min read

GenAI Ops Is Not MLOps With a New Name

MLOps manages model retraining cycles. GenAI Ops manages prompt versioning, non-deterministic evaluation, guardrails, and agent orchestration. Different architecture, different stack.

ArchitectureInfrastructure5 min read

25 articles