RAG vs. Fine-Tuning vs. Tool Use: A Practical Decision Framework
A practical framework for choosing between retrieval-augmented generation, fine-tuning, and tool use based on knowledge freshness, behavior, actions, latency, and control.
Topic hub
Software Engineering
Architecture, tooling, practical development, and how AI systems are changing software engineering.
How to Evaluate AI Agents: Reliability, Cost, Latency, and Failure Modes
A practical framework for evaluating AI agents across task success, reliability, cost, latency, tool use, trajectories, and failure modes before production.
AI Agents vs. Workflows: When to Use Each Architecture
A practical framework for choosing between deterministic AI workflows and autonomous agents based on task structure, reliability, cost, latency, and control.
How AI Is Changing Software Development
The most useful role for AI in software development is not replacing engineers. It is reducing repetitive work so teams can spend more time on product judgment and architecture.