Flaky tests, which unpredictably pass or fail without code changes, pose a significant productivity challenge for software engineering teams by eroding trust in continuous integration (CI) pipelines. This issue can be mitigated using an AI assistant that interacts directly with your IDE, leveraging tools like CircleCI's find_flaky_tests to analyze historical test data and suggest fixes. By following a series of steps, including setting up a GitHub repository, generating a flakiness signal, querying within the IDE, and applying AI-suggested fixes, developers can efficiently identify and resolve flaky tests without switching between tools or sifting through CI logs. This integration helps maintain a reliable test suite and supports continuous team momentum by shortening feedback loops and enabling targeted improvements directly within the development environment.