News•Feb 10, 2026
When AI Writes Code, Who's Accountable for Quality? | Mabl
AI coding assistants such as Claude Code and Copilot now generate features and tests in minutes, dramatically boosting engineering velocity. However, when test outcomes become the sole decision signal for autonomous agents, organizations face hidden risks like logic drift, excessive manual review, and loss of business context. Agentic testing—an AI‑driven quality layer that interprets intent rather than just pass/fail—emerges as a necessary feedback loop. mabl positions itself as that outer‑loop governance layer, complementing Playwright’s fast inner‑loop execution.
