Business · GitHub Blog
Validating agentic behavior when “correct” isn’t deterministic
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Modern software testing is built on a fragile assumption: correct behavior is repeatable.
Key facts
- But for autonomous agents like Github Copilot Coding Agent (aka Agent Mode), especially as they explore the frontiers of integrated “Computer Use,” that assumption breaks down almost immediately
- Think of a computer use-enabled Github Copilot Coding Agent performing a search in VS Code in a containerized cloud environment
- This blog post explores how to move past brittle, step-by-step scripts and toward an independent “Trust Layer” for agentic validation
- Imagine you’re responsible for a GitHub Actions pipeline that relies on Copilot Agent Mode to validate real-world workflows
Summary
As agents move beyond simple code suggestions to interacting with real environments like UIs, browsers, and IDEs, correctness becomes multi-path. This blog post explores how to move past brittle, step-by-step scripts and toward an independent “Trust Layer” for agentic validation. Imagine you’re responsible for a GitHub Actions pipeline that relies on Copilot Agent Mode to validate real-world workflows. On Tuesday, the build is green.