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AST Grep and Transform

The image is an abstract 8-bit style illustration using five colors. It shows a stylized tree with nodes connected in a branching pattern, representing an Abstract Syntax Tree (AST) used in code transformation. Geometric shapes and lines indicate the ideas of parsing and modifying source code. The design is simple and corporate, with no characters or text present.

Automating code updates at scale can be tricky, especially when it comes to maintaining accuracy. Abstract Syntax Trees (AST) offer a powerful solution by allowing you to directly manipulate code structures without worrying about formatting inconsistencies. With tools like ast-grep and LLMs, you can locate, transform, and update code efficiently. This approach is ideal for tasks such as generating or updating function documentation in TypeScript projects. Curious how this works? Explore how AST-driven strategies can streamline your workflow.

MCP Resources

A colorful 2D illustration in an 8-bit retro style, depicting a stylized server setup with abstract data nodes linked by lines. The design uses five corporate colors, forming a geometric pattern that symbolizes data and resource exchange. The interconnected nodes illustrate a protocol for interaction, creating an iconic and corporate atmosphere without any people or text.

The Model Context Protocol (MCP) introduces a powerful way for scripts to provide context to large language models (LLMs) by exposing data through MCP resources. These resources enable servers to share structured content that clients can access and utilize efficiently. By integrating publishResource into your workflows, you can streamline how your applications interact with MCP clients, enhancing context discovery and resolution. Dive deeper into how MCP tools and resources can elevate your systems today.

Blog Images

A retro-style 8-bit illustration features a computer screen with a visible code script. Surrounding it are symbolic representations of image generation: a markdown document, an image prompt morphing into abstract art, and a fading alt-text bubble. The design uses corporate colors, simple geometric shapes, and is limited to five colors, without including people or text.

Automatically generating blog post cover images may sound mundane, but the script behind the process showcases some interesting automation techniques. By transforming the markdown content into an image prompt, generating visuals and alt text, and seamlessly updating metadata, this multi-step workflow demonstrates how small-scale automation can scale efficiently. The result? Abstract, content-driven images that hint at optimization potential. Thought-provoking for content creators considering automation workflows.

Scripts as MCP tools!

Imagine an 8-bit style scene showing a futuristic, tech-heavy landscape. In the center, there's a large, geometric server block labeled "GenAIScript MCP Server," connected to two smaller devices tagged as "script A MCP Tool" and "script B MCP Tool." A line connects "GitHub Copilot Chat" to the main server, representing integration. The design is minimalist with only five colors, emitting a corporate, high-tech feeling without any human figures or text.

The Model Context Protocol (MCP) is reshaping how we approach integration with AI-driven tools. Platforms like GitHub Copilot Chat and Copilot Studio are leading adoption efforts, and GenAIScript is now enabling you to expose scripts as MCP tools, streamlining workflows with smarter decision-making by LLMs. Ready to elevate your development process? Explore the details in the documentation.

Azure AI Search

The image shows a cartoon-like computer interface featuring a "retrieval index" with a magnifying glass icon and several files, which are illustrated with animal icons of cats and dogs. This represents the process of indexing in a vector database. There is a visual flow from the files to the database, using icons to depict cats and dogs for the purpose of similarity search. The style is characterized by bold geometric shapes, using a limited corporate color palette of five colors, and maintaining a simple 8-bit aesthetic.

Discover how GenAIScript simplifies interaction with Azure AI Search for building vector-based search systems. With built-in support for chunking, vectorization, and indexing, you can efficiently implement Retrieval Augmented Generation (RAG) workflows, leveraging embeddings for similarity searches across your data. Learn how to streamline file indexing and query execution using straightforward functions and enhance your AI toolset.