AI Tool Recipes
Browse 453+ ready-to-use AI tool recipes. Find the perfect workflow automation template by category, tool, or difficulty level.
Code Review → Documentation → Knowledge Base
Automatically review code commits with Google Gemma 4, generate documentation, and update your team's knowledge base for better code quality and team alignment.
Performance Regression Detection → Teams Alert → Azure Board
Monitor code diffs for performance-related patterns, automatically alert development teams, and create work items for investigation and fixes.
Auto-Review Code Diffs → Slack Alert → Jira Task
Automatically analyze code changes for performance issues, alert your team in Slack, and create tracking tickets for optimization work.
Auto-Generate Code Documentation → Review in Slack → Deploy to GitHub
Automatically generate comprehensive code documentation using ChatGPT, get team approval through Slack, and deploy to your GitHub repository. Perfect for development teams managing multiple projects.
Map Project Requirements in Flowith → Generate User Stories in ChatGPT → Create Jira Epics
Convert complex project discussions into organized user stories and actionable development tickets. Ideal for product managers and development teams planning new features or products.
Local AI Code Review → GitHub PR Comments → Slack Notifications
Use Ollama's local AI models to automatically review code changes, post findings as GitHub PR comments, and notify your team via Slack when reviews are complete.
Monitor GitHub Repos → Alert on Suspicious Activity → Create Security Incident
Automatically monitor your organization's GitHub repositories for unauthorized access, leaked code, or suspicious commits, then create security incidents for immediate response.
Pull Request Security Review → AI Summary → Documentation Update
Enhance code review process by automatically analyzing pull requests for security issues, generating AI-powered summaries, and updating security documentation in Notion.
Bug Report → Reproduce → Fix → Test
Streamline bug fixing by having multiple agents simultaneously reproduce issues, implement fixes, and create tests across your codebase.
Feature Branch → Tests → Migration Scripts
Build new features with automated test generation and database migration scripts using parallel AI agents for comprehensive development workflow.
Code Review → Fix Issues → Update Documentation
Automatically review code across multiple files, fix identified issues, and update related documentation using GitHub Copilot CLI's fleet feature.
Automated Hardware Design Review → Cost Analysis → Project Timeline
Streamline chip design evaluation by automatically analyzing hardware specs, generating cost projections, and creating project timelines for engineering teams.