How to Design Tools That AI Agents Can Use Reliably
A tutorial on designing reliable AI agent tools with clear naming, schemas, error handling, and evaluation.
A tutorial on designing reliable AI agent tools with clear naming, schemas, error handling, and evaluation.
Explores why coding is just one component of software engineering, highlighting system design, architecture, and the role of AI tools.
Discusses the importance of testing API behavior beyond just the data model, using real-world examples like GitHub API issues.
Explains how to use Consumer-Driven Contracts for scalable integration testing in microservices, avoiding full environment deployment in CI.