Coding Agents
Build autonomous AI agents that write, debug, and improve code
Who Should Take This Course
Developers, software engineers, and technical professionals who want to build AI-powered development tools and automate coding workflows.
Prerequisites
Solid programming experience in at least one language (Python, TypeScript, or similar). Basic understanding of APIs and command-line tools. Familiarity with Git and development workflows.
Key Topics Covered
Comprehensive curriculum covering theoretical foundations and practical implementation
IDE & AI Integration
Agent Architectures & Design Patterns
Tool Use and Function Calling
Code Generation and Analysis
Debugging and Error Correction
Multi-step Reasoning and Planning
Memory and Context Management
Testing and Evaluation Frameworks
Integration with Development Workflows
Real-world Agent Projects and Case Studies
Learning Outcomes
Hands-on Projects
Project 1: Basic Coding Agent with Tool Use
Build a foundational coding agent that can read files, write code, and execute commands. Learn the basics of tool use and agent-environment interaction.
Project 2: Multi-file Refactoring Agent
Create an agent that can analyze and refactor code across multiple files, understanding dependencies and maintaining code quality.
Project 3: Debugging Assistant Agent
Build an intelligent debugging agent that can identify errors, suggest fixes, and validate solutions through automated testing.
Project 4: Code Review Automation Agent
Develop an agent that performs comprehensive code reviews, checking for best practices, security issues, and suggesting improvements.
Final Project: Production-ready Coding Agent
Bring it all together to build a production-ready coding agent tailored to your tech stack, with proper error handling, testing, and deployment strategies.
Ready to Build Your First Coding Agent?
Join this comprehensive course and learn to create AI agents that transform how you write and maintain code.