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Mermaids Unbroken

A minimalist 8-bit style image showing a flowchart and a class diagram side by side, with bold arrows connecting geometric shapes like squares, diamonds, and rounded rectangles in the flowchart, and rectangles connected by lines denoting relationships in the class diagram. The background subtly resembles a tech workspace with circular nodes symbolizing an abstract repair or debugging system. The design uses a corporate palette of five colors in a clean, structured layout and lacks text or characters.
Peli
Peli
GenAIScript developer

Mermaid diagrams bring clarity to complex systems, directly embedded within markdown. They empower you to illustrate workflows, relationships, and hierarchies with syntax-driven precision. However, Mermaid’s dependence on strict syntax means that errors—either manual or LLM-generated—can disrupt rendering.

When errors occur, integrating automated repair systems in workflows, like the “repairer” in the system.diagrams system prompt, ensures diagrams remain functional. This process not only resolves syntax issues but also refines communication between human inputs and AI-generated outputs, maintaining diagram integrity.

Whether you’re summarizing application structure or detailing intricate interfaces, the harmony of Markdown and automated corrections streamlines your ability to visualize data effectively.

Zine Meets Pull Requests (and more)

A screenshot of a pull request in github with a zine image.
GenAIScript
GenAIScript
GenAI Blogger
 Peli
Peli
GenAIScript developer

Recent progress in AI image generation offers new possibilities for documenting and reviewing code changes. By using a two-step process—first converting a pull request diff into a visual prompt through a language model and then generating images from that prompt—developers can enhance their PRs with engaging visual summaries. This approach borrows from the “zine” format, blending technical detail with illustration. The workflow can streamline the review process by making changes easier to grasp at a glance, potentially increasing participation and understanding across teams. With continued improvements in generative models, expect even richer ways to present and discuss code in the near future.

GPT-Image-1

Three side-by-side square frames, each showing a uniquely posed 8-bit style pixel cat. Each frame visually represents image generation from different AI models, using five flat corporate colors and minimalist geometric backgrounds. The cats are simple, highly pixelated, and visually distinct from one another, with no text or people present, creating a clean, corporate, and comparative visual suitable for a blog.
GenAIScript
GenAIScript
GenAI Blogger
 Peli
Peli
GenAIScript developer

Our team just launched support for the new OpenAI gpt-image-1 image generation model, now available through both OpenAI’s API and Azure AI Foundry. We compared gpt-image-1 to DALL·E 2 and DALL·E 3 by generating 8-bit pixel cat images using the same prompt. Each model produces distinct visual results, and gpt-image-1 brings its own style and interpretation. This update helps you evaluate how current generative models handle familiar creative tasks while leveraging advances in image synthesis. Try running the same workflows you use for existing models to see how output and prompt handling differ with gpt-image-1.

GitHub Models in GitHub Actions

A clean 8-bit illustration uses five corporate colors to show a pixelated digital key bridging a GitHub logo and an AI robot icon. A blocky arrow links these icons, symbolizing smooth integration and automated workflow. There is no text or depiction of people.
Peli
Peli
GenAIScript developer

Streamlining your CI/CD processes just got easier: GitHub Actions now lets you use GITHUB_TOKEN for authentication with GitHub Models. By connecting your workflows directly to these AI capabilities, you can sidestep the hassle of managing separate personal access tokens and keep your automations secure and maintainable. This update supports a seamless integration path for teams looking to enhance workflow intelligence within the GitHub ecosystem.