Weekly Developer Tutorial Generator using Gemini AI and GitHub - n8n Workflow

Technical Bloggers & Content Managers: Users who need a consistent stream of relevant, high-quality technical content.
Developers & Educators: Those looking to rapidly build a library of tutorials based on current technology trends.
Automation Enthusiasts: Individuals seeking advanced n8n templates integrating external APIs, custom code, and complex AI agents.
Users of n8n: Anyone leveraging n8n for sophisticated, scheduled content generation tasks.

Generating relevant, timely technical content can be a massive time sink. This advanced n8n workflow solves this by fully automating the process of identifying trending GitHub projects and converting their details into detailed, educational tutorials.

Every week, the n8n trigger initiates the flow, fetching current GitHub trends. It then leverages the sophisticated capabilities of the Gemini AI model via an n8n node to act as an expert technical writer, crafting structured guides complete with prerequisites and code examples. After processing, the content is securely pushed to WordPress as a draft, ready for a final review. This specific n8n workflow ensures your blog stays current with minimal manual effort, optimizing your content pipeline and maximizing the value of your n8n automation investment.

This comprehensive n8n workflow operates on a fixed schedule to deliver consistent content:

1. The n8n Trigger: The process begins with the Weekly Monday 10AM schedule n8n trigger. This ensures the entire n8n workflow executes reliably every Monday morning.


2. Data Extraction: The workflow uses an HTTP Request n8n node (Get Trending Repos) to call the GitHub API and fetch a list of trending repositories.


3. Iteration: The Split Repository Items n8n node then takes the list of repositories and processes each one individually through the subsequent AI and posting stages.


4. AI Generation: The AI Tutorial Generator n8n node (a LangChain Agent) receives the repository data. It uses the connected Google Gemini Chat Model n8n node and a strict system prompt to synthesize a detailed technical tutorial (including steps, code blocks, and best practices).


5. Output Parsing: A critical Parse the AI tutorial output Code n8n node cleans and structures the AI-generated content, ensuring it is properly formatted (or parsed from potential JSON output) before moving to WordPress.


6. Drafting: The Create Tutorial Post WordPress n8n node takes the finalized content, dynamically generates a title, assigns relevant categories (like 'Tutorials' and the project's language), sets tags, and publishes the result as a 'draft' in WordPress.


7. Notification: Finally, the Notify Admin Email Send n8n node sends an alert to the administrator, confirming that a new tutorial draft has been successfully created by the n8n workflow, completing the automation cycle.

To deploy this powerful n8n workflow, follow these steps:

1. Import the n8n Templates: Copy the provided JSON data and paste it directly into your n8n instance using the 'Import from JSON' option.


2. Configure Credentials:

1. GitHub Token (Optional): While not required for basic functionality, adding a GitHub token to the Get Trending Repos HTTP Request n8n node is recommended to increase API rate limits and ensure the n8n workflow runs reliably.


2. Activate: Save the n8n workflow and toggle it to 'Active'. The Weekly Monday 10AM n8n trigger will handle execution automatically.

This n8n workflow relies on several specialized n8n node configurations:

Weekly Monday 10AM (Schedule Trigger): This is the core n8n trigger, configured using the CRON expression 0 10 1 to run precisely at 10:00 AM every Monday.
Get Trending Repos (HTTP Request): Queries the GitHub search API. The URL is configured to look for repositories, providing the raw data for the n8n workflow.
AI Tutorial Generator (Agent n8n node): Essential for the n8n workflow's core function. It contains a comprehensive system message instructing the AI to generate a full tutorial structure, including prerequisites and code examples, ensuring high content quality.
Google Gemini Chat Model (LM Chat n8n node): The language model provider linked to the Agent. Requires API key configuration.
Parse the AI tutorial output (Code n8n node): This custom JavaScript n8n node is crucial for handling the AI's varied output format, cleaning up markdown code fences, and structuring the data fields (title, content) correctly for the WordPress n8n node.
Create Tutorial Post (WordPress n8n node): Configured to dynamically set the post title using expressions (e.g., Tutorial: Building with {{$json.name}}), apply dynamic categories and tags based on the repo's language, and set the status to draft.