What I Learned Today

Learning: Worked with queries to check data validation and consistency in databases.

Learning: Practiced mocking APIs to test workflows without depending on live services.

Learning: Tried parameterizing tests in pytest to run the same test with different inputs.

Learning: Looked into how markers and fixtures can control and organize test runs in pytest.

Learning: Learned how fixtures in Playwright help in managing browser setup and teardown.

Learning: Mixed BDD style scenarios with pytest to see how they complement each other.

Learning: Explored how precision and recall play a role in evaluating responses in AI systems.

Learning: Applied pytest-based metrics to evaluate responses from an LLM.

Learning: Looked into MCP server in Playwright and how it supports automation workflows.

Learning: Looked into Sentry and how it helps track issues in applications.

Learning: Set up a basic pipeline using Jenkins for smoother automation runs.

Learning: Tried improving prompts to see how AI responds differently with small changes.

Learning: Practiced building and running simple API test flows with Python.

Learning: Went through the MCP server in Playwright and its use for extending testing workflows.

Learning: Tried checking AI outputs using structured pytest-based metrics.

Learning: Studied context precision and recall to understand how they shape AI evaluation.