Debugging Issues (State Leakage, Cookies Cleanup, Session Handling, SQLA...

Debugging Issues (State Leakage, Cookies Cleanup, Session Handling, SQLAlchemy Errors) with AI Tools

Struggling with confusing error messages, broken tests, and mysterious bugs after refactoring your app? You're not alone—and you're not without help.

In this video, we dive deep into how modern AI tools can guide you through debugging even the most challenging and elusive bugs in your codebase. From Flask routing errors to test suite failures, database context issues, and session state leakage, we show real-world examples of AI-assisted solutions that saved hours of frustration.

Topics Covered:

  1. Fixing url_for() and render_template() after Blueprint refactoring

  2. Resolving Flask test failures caused by missing SECRET_KEY

  3. Handling SQLAlchemy OperationalError, IntegrityError, and DetachedInstanceError

  4. Debugging session/cookie state leakage between tests

  5. Understanding Python vs. DB-level model defaults

How AI Helped:

  1. Interpreting cryptic stack traces with context

  2. Recommending best practices (factory pattern, fixture scopes, etc.)

  3. Suggesting reliable code fixes and configurations

  4. Acting as a patient, tireless debugging partner

By the end, you’ll see just how powerful AI can be—not only as a code-writing assistant but also as a smart debugger that helps you build stable, production-ready applications faster.