Deep Dive: Regression Testing for AI Agent Workflows
sourishkrout · reddit · 2026-07-07
A Runme team member initiated a discussion: when agent workflows (based on Claude Code, Codex, Cursor, etc.) go beyond a single prompt, how do we perform regression testing on layers outside the model (repo instructions, skills, MCP/tools, memory, hooks, guardrails, and expected step sequences)? The author points out a common failure mode—a clean transcript creates the illusion that the workflow is "done," only to fail later due to inactive skills, wrong tool usage, or skipped sources. The proposed solution is repo-level regression testing for agent harnesses: record tasks, run the agent, score artifacts and trajectories, and compare against baselines.
Related event: AI Agent Workflows Face Software Engineering Test Challenges(2 posts)→
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