10 posts about agent evaluation by 7 contributors.
Know agent evaluation? Share what you know with developers who are learning it.
Learn how to evaluate AI agents with realistic software development tasks, reproducible environments, acceptance criteria, and workflow-based testing.
Learn how to test AI agent answers with evaluation datasets, automated checks, semantic criteria, tool-use validation, and safe failure handling.
Learn how to use Microsoft Foundry's agent optimizer to evaluate agent configurations, generate improvements, compare scores, and apply optimized candidates.
Learn how to build reproducible AI evaluation datasets for enterprise agents using versioning, scenario coverage, ground truth, regression testing, and measurable quality metrics.
Learn how to test AI browser agents against unsafe web actions using adversarial scenarios, permission checks, action validation, navigation controls, and security-focused agent evaluation.
Test AI coding agents against dangerous infrastructure changes using adversarial scenarios for Terraform, IAM, databases, deployments, permissions, and destructive cloud operations.
Ensure agent reliability with Azure AI Evaluation SDK & Foundry. Measure quality, safety, & traceability for production GraphRAG agents. Detect regressions early!
LangChain Polly automates the design, evaluation, and refinement of AI agents using structured specifications, scenario-based tests, and LangGraph workflows.
A long, detailed, SEO- and GEO-optimized guide explaining AI agent frameworks, runtimes, and harnesses, including architecture, workflows, diagrams, and practical examples.
DevSocialUpcoming · 3rd editionAI Agents ConferenceNov 23–27, 2026Live onlineMembers only17days leftRegisterPublish an article in this category and earn +1,000 SHARP when it is approved.
Write an article