SQL Debugging on Steroids With Claude Code

Debugging SQL usually means guessing, running partial queries, and hoping your data makes sense. This time, I let Claude Code lead the investigation. In this video, I show a real-world debugging session from Atherio, where we recently finished a feature called DEE a data-heavy capability that relies on: Large-scale data ingestion from Microsoft 365 Signal analysis powered by OpenAI Historical backfills and rolling score calculations (last 30 days) After onboarding a new customer, we needed high confidence that: Historical imports were correct DEE scores were calculated accurately No subtle data inconsistencies were hiding beneath “working” results Instead of manually writing dozens of SQL queries, I prompted Claude Code to help validate the data. What happens next is where things get interesting: Claude generates targeted SQL scripts to inspect the imported data It spots questionable states in the dataset and proactively suggests deeper checks It iteratively narrows down the investigation, just like a senior engineer would In the end, it confirms the calculations are correct Finally, it generates a single, reusable SQL validation script that: Verifies the entire import Recomputes expectations Produces an initial validation report in one run This isn’t a toy example or a contrived demo. It’s how AI is starting to change how we reason about data, not just write code. If you work with: SQL-heavy systems Data pipelines AI-powered products Or complex onboarding & backfills …this workflow will likely change how you debug forever.