Use this comprehensive n8n workflow to automate code reviews. Triggered by GitHub push events, this n8n template utilizes the Groq AI model to analyze code diffs and instantly email a structured review summary via Gmail.
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Software Development Teams requiring immediate feedback on new commits.
DevOps Engineers looking to integrate automated quality gates into their CI/CD pipelines using n8n.
Users of n8n who need an advanced example of combining webhooks, custom code, and large language models.
Technical leads seeking to monitor code quality across multiple repositories using a single n8n workflow.
Manual code review can be time-consuming and prone to human error. This n8n workflow solves this problem by creating an AI-driven, real-time code quality feedback loop. When a developer pushes code to a monitored GitHub repository, the n8n trigger instantly activates the automation. The workflow fetches the full commit details and passes the formatted code diff to an intelligent AI Agent using Groq. The agent analyzes functional issues, style, potential security flaws, and suggests improvements, returning a structured HTML summary. This entire process, managed by various n8n nodes, ensures rapid, consistent code feedback delivered directly to the reviewer's inbox via Gmail, making this one of the most useful n8n templates for modern teams.
This powerful n8n workflow begins execution with the Github Trigger n8n node. This n8n trigger is configured to listen for 'push' events on a specific repository.
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sendTo parameter to the desired reviewer's email address.Markdown-formatted text:
Github Trigger (n8n trigger):
Function: Starts the n8n workflow upon a 'push' event to a specific GitHub repository.
Key Configuration: Events set to push. Repository details must be manually updated to match your project.
HTTP Request (n8n node):
Function: Fetches detailed commit metadata, including file patches, using dynamic expressions referencing the commit ID provided by the n8n trigger data.
Key Configuration: Uses the GitHub OAuth2 credential type for secure API access. URL is dynamically generated to request commit data: =https://api.github.com/repos/{{ $json.body.repository.owner.name }}/.../commits/{{ $json.body.head_commit.id }}.
Code (Formatter n8n node):
Function: Transforms raw GitHub commit data (diffs) into color-coded, styled HTML for excellent email visualization. It separates added lines (+, green) and removed lines (-, red).
Key Configuration: Contains custom JavaScript logic (formatPatch and renderResponse) to structure metadata (repo info, author, message) and code diffs.
Groq Chat Model (n8n node):
Function: Provides the LLM backend for the AI Agent, utilizing the fast llama-3.1-8b-instant model for rapid code review generation.
Key Configuration: Requires a Groq API credential.
AI Agent (n8n node):
Function: Acts as the core intelligence. It takes the HTML-formatted code diff as input and generates a strict, structured code review based on the detailed prompt instructions.
Key Configuration: The system prompt forces the AI to check functional, style, security, and suggest improvements, and crucially, return its findings in one of two predefined HTML blocks.
Gmail (n8n node):
Function: Sends the final, combined HTML output (commit details + AI review) as an email notification.
Key Configuration: Subject is set to 'Code Review'. Message uses the final HTML output from the Output Parser n8n node.
Use this powerful n8n workflow to automatically trigger AI code reviews on GitHub push events using Groq's LLM, parse diffs with an n8n node, and send detailed HTML reports via Gmail.

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I'm a full stack developer passionate about building intelligent, scalable solutions that automate workflows and enhance productivity. I love working at the intersection of AI, APIs, and automation—using tools like n8n to streamline processes, integrate data, and unlock smarter decision-making. Whether it's crafting custom backend services or designing intuitive frontends, I’m always exploring ways to build more with less manual effort.







































