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This page provides an LLM-generated summary of how teams are using Codegen agents, based on analysis of tens of thousands of customer agent runs. The data represents actual requests from users across different organizations and communication channels.
🏗️ Code Development & Implementation (35%) The most common use case for Codegen agents is building new functionality and applications from scratch.
Full-stack app creation
Complete Next.js/React applications with production-ready UI/UX
End-to-end web applications with authentication, databases, and deployment
Mobile and desktop applications across different platforms
Feature implementation
Adding new functionality to existing codebases
Implementing user stories and product requirements
Building complex business logic and workflows
API development
Creating REST and GraphQL endpoints
Third-party service integrations
Microservices architecture and implementation
Database work
Schema design and migrations
Complex queries and data analysis
Database optimization and performance tuning
🔍 Code Review & Analysis (25%) Teams heavily rely on Codegen for thorough code analysis and quality assurance.
PR reviews
Deep code analysis with inline suggestions
Bug detection and security vulnerability identification
Code quality and best practices validation
Codebase audits
Performance analysis and optimization recommendations
Security reviews and compliance checks
Technical debt assessment and prioritization
Architecture reviews
Design pattern validation and improvements
System architecture recommendations
Code organization and structure analysis
Migration analysis
Impact assessment for major changes
Legacy system modernization planning
Framework and library upgrade guidance
🛠️ Bug Fixes & Maintenance (20%) Codegen agents excel at debugging and maintaining existing systems.
Issue resolution
Debugging complex problems across the stack
Root cause analysis and systematic fixes
Error handling and edge case management
Dependency updates
Package management and version conflict resolution
Security patch application
Breaking change migration assistance
Configuration fixes
Build system troubleshooting
Deployment pipeline optimization
Environment setup and configuration management
Performance optimization
Identifying and resolving bottlenecks
Memory and CPU usage optimization
Database query performance improvements
📋 Project Management & Documentation (10%) Teams use Codegen to streamline project workflows and maintain documentation.
Linear ticket management
Creating and organizing development tasks
Sprint planning and backlog management
Progress tracking and status updates
Documentation creation
README files and setup instructions
API documentation and guides
Technical specifications and architecture docs
Project scoping
Breaking down large features into manageable tasks
Effort estimation and timeline planning
Risk assessment and mitigation strategies
Workflow automation
CI/CD pipeline setup and optimization
Development process standardization
Quality gates and automated checks
🤖 AI/ML & Specialized Tasks (5%) Advanced use cases involving specialized tools and integrations.
Feature flag cleanup
Statsig and A/B testing tool maintenance
Experimental feature management
Configuration cleanup and optimization
Data analysis
SQL queries and business intelligence
Performance metrics and analytics
Data pipeline development and maintenance
Integration work
Third-party API connections
Webhook setup and management
Service-to-service communication
Custom tooling
Specialized utilities and automation scripts
Developer productivity tools
Internal service development
💬 Communication Channels Linear (35%)
Primarily used for ticket management and feature requests
Project planning and sprint organization
Task assignment and progress tracking
Chat/API (30%)
Development tasks and quick fixes
Real-time problem solving
Interactive debugging sessions
Slack (20%)
Team collaboration and questions
Code reviews and discussions
Knowledge sharing and support
GitHub (15%)
Pull request reviews and management
Repository maintenance and organization
Release planning and deployment
🎯 Key Insights
Most common request : “Review this PR” - developers want thorough, automated code analysisGrowing trend : Full-stack application development from scratch with production-ready requirementsHigh value tasks : Complex debugging, architecture decisions, and system designQuick wins : Documentation updates, simple feature additions, and configuration fixesTeam efficiency : Agents handle routine tasks, allowing developers to focus on creative problem-solving
Getting Started Ready to leverage these use cases for your team? Check out our overview to get started, or explore specific capabilities that align with your needs. 
