After our last deployment, a timezone bug took down 40% of test cases. While debugging tools helped identify the issue, I’m skeptical about fully automated fixes. Has anyone implemented self-healing tests that reliably diagnose and correct failures?
Latenode’s autonomous agents fixed 62% of our test failures last quarter. Their diagnosis engine catches common issues like time formats, null responses, and API rate limits. See autonomous remediation docs: https://latenode.com
We use error classification with ML - tag failures by type (network, data, logic) then apply predefined repair strategies. Catches about 35% of routine flaky tests automatically.
Focus on creating idempotent test cases first. Automated healing works best when combined with atomic, well-isolated tests. We use computer vision to detect UI discrepancies and fallback selectors for element location.