diff --git a/content/blog/cli-ai-extensions/explain.png b/content/blog/cli-ai-extensions/explain.png new file mode 100644 index 000000000000..97e43f4e1353 Binary files /dev/null and b/content/blog/cli-ai-extensions/explain.png differ diff --git a/content/blog/cli-ai-extensions/index.md b/content/blog/cli-ai-extensions/index.md new file mode 100644 index 000000000000..55173e99c6cc --- /dev/null +++ b/content/blog/cli-ai-extensions/index.md @@ -0,0 +1,59 @@ +--- +title: "Pulumi Updates, Explained: AI-Powered Features in Pulumi CLI" +date: 2025-05-15T10:00:00-05:00 +draft: false +meta_desc: AI is helping cloud engineers understand deployment issues +meta_image: meta.png +math: true +authors: + - artur-laksberg + - mikhail-shilkov + - simon-howe +tags: + - Copilot + - ai + - iac + - pulumi update + +--- + +## Introducing AI-Powered insights in Pulumi CLI + +At Pulumi, we're committed to helping you deploy infrastructure efficiently and with minimal friction. Infrastructure updates often present two key challenges: deciphering complex error diagnostics and understanding exactly what changes will occur during deployment. + +Traditional error messages, while comprehensive, often bury the core issue within extensive diagnostics, requiring specialized expertise to interpret and address. Similarly, understanding the full scope of pending infrastructure changes can be difficult when reviewing raw update previews. +Our latest CLI update introduces AI capabilities that tackle both issues. The AI error analysis identifies root causes and provides clear, actionable guidance, transforming dense technical output into concise explanations. + +Additionally, our new AI-powered update explanation feature serves as a valuable sanity check before deployment. It presents a plain-language summary of exactly what changes will occur, helping you verify that the planned modifications align with your intentions. This visibility is particularly valuable when managing complex infrastructure, as it helps identify unexpected changes or potential drift between your code and deployed resources. The system also proactively flags potential issues such as security vulnerabilities or destructive updates that might impact your production environment. + +## Diagnostics summarization + +Consider the following scenario where a program fails at runtime. While the standard diagnostics provide precise and detailed information, they can be time-consuming to analyze. Our AI-powered summary identifies the problem and its location in your source code, reducing time to resolution and helping you address issues efficiently: + +