12 articles
Stop writing scripts that fail silently. Master the 'Safe Mode' of Bash. Learn to use 'set -e' for instant failure, 'set -x' for line-by-line debugging, and 'trap' to ensure your cleanup code runs even when a script crashes.
The 'Anti-Fragile' pipeline. Learn how to write CI/CD scripts that can handle network failures, registry timeouts, and flaky tests without completely stopping your company's delivery engine.
Prepare for the worst. Learn how to catch errors, retry failing nodes, and setup a 'Global Error Workflow' to notify you whenever something goes wrong.
Resilient Autonomy. How to design agents that can recover from API errors and tool failures gracefully.
Self-correcting AI. How agents learn from errors and retry failed attempts during execution.
Why agents break. Understanding hallucinations, tool loops, and parsing errors in LangChain.
The AI feedback trap. Why agents get stuck in repetitive cycles and how to break them.
Resilience by design. How to handle tool failures and rate limits within the agent graph.
Stop your code from crashing. Learn how to catch errors gracefully and provide helpful feedback instead of the 'Red Screen of Death'.
Precision error handling. Learn why catching 'every' exception is risky and how to target specific errors like FileNotFoundError and ZeroDivisionError.
You're the boss. Learn how to use the 'raise' keyword to stop your program when your own business rules are broken, even if Python doesn't think it's an error.
The complete error handling loop. Learn how to use 'else' for success and 'finally' for guaranteed cleanup, ensuring your program leaves no loose ends.