Three reliability best practices when using AI agents for coding

Human error remains a significant cause of outages, but the rise of AI agents in coding has introduced a new source of potential failures, as AI can make similar mistakes and lacks system-specific knowledge. To mitigate these errors, three best practices are recommended: testing in environments as close to production as possible, using standardized test suites against known issues, and embracing automated testing and risk detection. Reliability tools, like those offered by Gremlin, enhance these practices by allowing for safe testing, automated risk monitoring, and standardized test suites that can detect issues before they impact users, making systems more resilient to both human and AI errors.