Description

What this workflow does

This n8n workflow automates the process of analyzing code files, generating structured testing plans using AI, and recording outcomes in Google Sheets. It streamlines code review activities, ensuring faster and more consistent reviews for development teams.

How it works

• The process starts manually or via a trigger, such as file upload or scheduled run.
• The workflow reads code files (e.g., Swift files) from specified locations.
• It extracts the text content, then uses AI (OpenAI GPT-4.1-mini) to analyze the code and generate a testing plan.
• The output is parsed to extract relevant testing information and details.
• The testing data is saved into a Google Sheet for record-keeping and follow-up.
• Optional email notifications can be sent to stakeholders upon completion.

Setup & requirements

• Google Sheets account and API credentials with write permissions
• OpenAI API key for AI analysis
• Access to code files stored locally or on connected storage
• Configuration of file paths, Sheet URLs, and AI model IDs
• Estimated setup complexity: Moderate, requires some initial configuration

Use cases

• Automating code review in software development teams
• Generating testing documentation from code repositories
• Ensuring consistency and completeness in code quality reviews
• Tracking review outcomes and test plans in spreadsheets

Who is this for

• Developer teams seeking automation of manual code review tasks
• QA and testing teams automating test plan generation
• Tech startups and digital SMEs improving development efficiency
• Operations teams managing code quality processes

Why this matters

• Reduces manual review time significantly
• Minimizes human error and oversight
• Enables scalable review processes as codebases grow
• Provides structured documentation for compliance and auditing