Multi-LLM Debugging: How Claude Fixed a Docker Bug Gemini2.5 Pro Missed ...

Multi-LLM Debugging: How Claude Fixed a Docker Bug Gemini2.5 Pro Missed (PostgreSQL extension setup)

Stuck on a stubborn Docker or PostgreSQL bug? Your first AI assistant might not always have the answer! In this video, I show you a REAL-WORLD example of how I used a multi-LLM strategy, specifically bringing in Claude, to fix a tricky `pg_stat_statements` setup issue in a PostgreSQL Docker container that another AI (like ChatGPT/GPT-4) struggled with.

We'll cover:

✅ The initial Docker & PostgreSQL setup problem (pg_stat_statements).

✅ Why a single AI LLM might get stuck or miss subtle errors (like typos!).

✅ How switching to a different AI (Claude) provided a fresh perspective.

✅ The "Aha!" moment: discovering a critical typo (`pg_stats_statements` vs `pg_stat_statements`).

✅ Step-by-step how the fix was implemented.

✅ Tips for using multiple AI tools (ChatGPT, Claude, Gemini, etc.) for effective software debugging and problem-solving.

If you're a developer, DevOps engineer, or just curious about practical AI applications in coding, this video is for you! Learn how to leverage different LLM strengths to become a more efficient debugger.