TestCaseGhost: AI Test Generator from Logs
Automatically generates unit and integration test cases by analyzing your application logs and error traces, turning real production failures into comprehensive test coverage.
The Problem
Developers spend weeks writing test cases for edge cases they don't anticipate, while production logs contain the exact failure patterns they should be testing. Most teams have no systematic way to convert real bugs into regression tests, leading to repeated failures and poor test coverage for actual user behavior.
Target Audience
Mid-market SaaS teams (10-100 engineers) and startup CTOs using Python, Node.js, or Go who have production monitoring but inadequate test coverage for their core flows.
Why Now?
Production observability tools (DataDog, New Relic, Sentry) now emit structured, queryable logs that make this feasible. AI can write test code faster than ever, and teams are increasingly frustrated with generic test generators.
What's Missing
Existing test generators (Diffblue, Sapienz) work from code analysis alone, missing the signal in real failure data. Log analysis tools don't connect to testing workflows.
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