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Address Scott's feedback: simplify notice wording
Per reviewer feedback: - Documentation pages: Simplified to "Pulumi Copilot is now Pulumi Neo. [Learn about Neo's capabilities →](/docs/ai/)" - Blog posts: Lighter touch with "Note: This post references Pulumi Copilot, now known as Pulumi Neo." - Removed vague "may differ" language and confusing spatial references - Added actionable call-to-action Also verified: - Unity case study contains no customer quotes mentioning Copilot (safe to update) - Only one Copilot page exists, so redirecting all to /docs/ai/ is correct
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content/blog/cli-ai-extensions/index.md

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**Note:** Pulumi Copilot has evolved into [Pulumi Neo](/product/neo/), your AI platform engineer. Some features or functionality described here may differ from the latest version.
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We're excited to announce the new AI capabilities for Pulumi CLI powered by Pulumi Copilot that translate complex infrastructure changes into clear, human-readable explanations and help resolve deployment errors with actionable guidance. Enable these preview features with the `--copilot` flag.

content/blog/codegen-learnings/index.md

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When asked about his research process, Anthony Bourdain would describe how he'd blend his formal culinary training with deep dives into local food culture - from market stalls to family recipes. Modern AI code generation follows a similar path: it can't just rely on what it knows - it must tap into continuously evolving, domain-specific knowledge bases. Just as Bourdain would combine his classical French training with techniques learned from local kitchens, AI code generators blend their built-in knowledge with retrieved code snippets and type definitions to generate code that accurately represents the user's intent.

content/blog/copilot-in-docs/index.md

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[Pulumi Copilot](/docs/pulumi-cloud/copilot/) has been making our customers' day-to-day tasks easier since its release, and today we’re excited to expand its capabilities—Pulumi Copilot is now available across Pulumi Documentation and pulumi.com, and comes equipped with a powerful new Documentation Skill!

content/blog/copilot-in-vscode/index.md

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**Note:** Pulumi Copilot has evolved into [Pulumi Neo](/product/neo/), your AI platform engineer. Some features or functionality described here may differ from the latest version.
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Programming languages offer dozens of advantages for writing Infrastructure as Code (IaC). One of them is that Large Language Models are effective at using general-purpose programming languages, thanks to the vast amount of high-quality training data available. Building on this advantage, we introduced Pulumi AI and Pulumi Copilot last year to enhance Infrastructure-as-Code development with generative AI capabilities. These tools have significantly streamlined infrastructure deployment for tens of thousands of developers.

content/blog/copilot-lessons/index.md

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Building AI-powered developer tools comes with unique challenges, and now that we've **[launched our REST API](/blog/pulumi-copilot-rest/)**, we want to share some lessons we've learned building Pulumi Copilot, an AI assistant for cloud infrastructure.

content/blog/copilot-system-prompts/index.md

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We are excited to announce a new feature for Pulumi Copilot: System Prompts. This enhancement empowers organizations to customize Pulumi Copilot's responses for your organization, making your interactions with our AI assistant even more personalized to save you even more time.

content/blog/future-cloud-infrastructure-10-trends-shaping-2024-and-beyond/index.md

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In 2025, several trends will dominate cloud computing, driving innovation, efficiency, and scalability. From Infrastructure as Code (IaC) to AI/ML, platform engineering to multi-cloud and hybrid strategies, and security practices, let's explore the 10 biggest emerging trends.

content/blog/hidden-costs-of-infrastructure-management/index.md

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[Infrastructure as Code (IaC)](/what-is/what-is-infrastructure-as-code/) has revolutionized how cloud resources are managed, allowing for more efficient, scalable, and repeatable deployments. We designed [Pulumi IaC](/product/infrastructure-as-code/) to let you program cloud infrastructure using familiar programming languages like TypeScript, JavaScript, Python, Go, .NET, Java, and YAML. This approach not only simplifies the process but also integrates seamlessly with existing development tools and ecosystems (e.g., IDEs, standard unit test frameworks, integration test). You can define infrastructure with code, often in just one line, for serverless, Kubernetes, AI/ML, databases, and more. You can also preview changes before deploying unlike many other IaC solutions. Pulumi IaC is fully open source with a [public roadmap](https://github.com/orgs/pulumi/projects/44/). We value working with the community to shape the product through feedback and contributions.

content/blog/insights-cloud-account-discovery/index.md

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Enterprise cloud infrastructures are complex environments that are evolved over time and made up of thousands of different kinds of resources. Enabling customers to wrap their arms around this complexity and get a complete understanding of the scope and structure is the goal of the Pulumi Insights 2.0 product.

content/blog/mcp-server-ai-assistants/index.md

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Infrastructure as Code (IaC) has revolutionized how we manage cloud resources, but navigating complex cloud provider APIs, writing boilerplate code, and iterating through deployment cycles can still be time-consuming. Pulumi offers a fantastic developer experience using familiar programming languages. But what if we could make it even *faster* and more intuitive by integrating powerful AI assistants directly into the development loop?

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