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4 changes: 0 additions & 4 deletions adev/src/content/ai/develop-with-ai.md
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Expand Up @@ -43,7 +43,3 @@ The Angular CLI includes an experimental [Model Context Protocol (MCP) server](h
- <a href="/assets/context/llms-full.txt" target="_blank">llms-full.txt</a> - a more robust compiled set of resources describing how Angular works and how to build Angular applications.

Be sure to check out the [overview page](/ai) for more information on how to integrate AI into your Angular applications.

## Web Codegen Scorer

The Angular team developed and open-sourced the [Web Codegen Scorer](https://github.com/angular/web-codegen-scorer), a tool to evaluate and score the quality of AI generated web code. You can use this tool to make evidence-based decisions relating to AI-generated code, such as fine-tuning prompts to improve the accuracy of LLM-generated code for Angular. These prompts can be included as system instructions for your AI tooling or as context with your prompt. You can also use this tool to compare the quality of code produced by different models and monitor quality over time as models and agents evolve.
4 changes: 2 additions & 2 deletions adev/src/content/reference/roadmap.md
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Expand Up @@ -46,7 +46,7 @@ Start developing with the latest Angular features from our roadmap. This list re
The team will continue to develop meaningful integrations with tools like Google AI Studio, Gemini CLI and other agentic tooling such as Agentic IDEs like Antigravity. We plan to launch solutions that stay in line with the rapidly evolving industry. Some examples include agent skills, new MCP features and AI SDKs.
</docs-card>
<docs-card title="Code Generation">
[Based on our research](https://blog.angular.dev/beyond-the-horizon-how-angular-is-embracing-ai-for-next-gen-apps-7a7ed706e1a3), code generation for Angular is already high quality with modern LLMs. We will continue our investments in improving code generation for Angular. This means we will regularly evaluate code generation quality using current models and work to improve it through system instructions, documentation, and tactical framework changes. We also will continue investments in [Web Codegen Scorer](https://github.com/angular/web-codegen-scorer), our evaluation infrastructure.
[Based on our research](https://blog.angular.dev/beyond-the-horizon-how-angular-is-embracing-ai-for-next-gen-apps-7a7ed706e1a3), code generation for Angular is already high quality with modern LLMs. We will continue our investments in improving code generation for Angular. This means we will regularly evaluate code generation quality using current models and work to improve it through system instructions, documentation, and tactical framework changes.
</docs-card>
<docs-card title="AI Powered Experiences">
There is a new frontier for Angular developers to explore with new concepts such as Dynamic UI generation. We started with building Angular support for A2UI and are actively searching out more opportunities to support modern application experiences.
Expand All @@ -67,7 +67,7 @@ We're in the process of prototyping and exploring what this support would look l
<docs-card title="Enhanced Ecosystem compatibility">
Developers are mixing AI generated code with manually generated code, and want to make use of popular libraries and integrate new experiences quickly. Angular wants to integrate well into that ecosystem - developers should be able to use the tools they love and mix and match frameworks according to their requirements.

As part of this project, we'll explore the requirement space of cross framework interop and our build tooling to improve our compatibility. We also want to see if we can contribute to this space by providing framework-agnostic solutions to open problems in the web ecosystem, similar to what we delivered with the [Web Codegen Scorer](https://github.com/angular/web-codegen-scorer) project.
As part of this project, we'll explore the requirement space of cross framework interop and our build tooling to improve our compatibility.

</docs-card>

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