Agent Architectures: Patterns and Tradeoffs
A structured comparison of ReAct, Plan-and-Execute, Reflexion, multi-agent, and hierarchical architectures, with guidance on when to apply each.
Blog
Evaluation and Observability in AI Systems
How to build evaluation pipelines, trace LLM calls end-to-end, detect output drift, and alert on quality degradation in production AI systems.
Docker and Kubernetes for AI Systems
How to containerize LLM inference servers, agent runtimes, and vector databases, and schedule GPU workloads for production AI systems on Kubernetes.
AWS for AI Systems
A practical guide to Bedrock, Knowledge Bases, Agents, and supporting AWS infrastructure for production RAG pipelines and agentic AI systems.
AI-Assisted Engineering
How to use LLMs effectively in the software engineering loop: what works, what fails, and how to measure the difference.
Handling Production Failures
A playbook for common GenAI production failures.
GenAI in Production
How modern AI systems are built
The MLOps Lifecycle
How production ML systems are built, deployed, and maintained.