CLI and Autonomous Project Navigation
Setting up Claude Code as a workflow extension. Learning how to ask the agent to map API calls, identify deprecated functions, or describe the structure of an unknown repository in a matter of seconds.
AI for Developers
Creating AI Agents with Claude Code
3 - 6 Hours 4 Modules
Overview
Main Topic: AI for Developers
Workload: 3 - 6 Hours
Level: Advanced
Target Audience: Software Developers, DevOps Engineers, and Architects
ABOUT THE TRAINING
Claude Code is not just a chat assistant; it is an agent that lives in the terminal and understands the complete architecture of the project. This training teaches how to utilize Claude's massive context window to perform tasks that would be exhaustive for a human, such as mapping dependencies in huge projects or performing large-scale refactorings, ensuring that the AI operates with autonomy and technical precision.
Objective
Empower the developer to delegate complex engineering tasks to a terminal agent, mastering the cycle of 'gather context, act, and verify' to modernize legacy systems and accelerate the resolution of critical bugs.
TRAINING MODULES
The Agent Loop (Context, Action, and Verification)
Diving into the inner workings of the tool. How Claude executes the three phases — gathering files, editing code, and running automatic tests. The student will learn to intervene and guide the agent during the loop to ensure results align with the desired architecture.
Refactoring and Legacy Modernization
Strategies for major code changes. The challenge is to use the agent to update libraries throughout the project and convert modules between different languages or versions while maintaining functional consistency.
Lab: Log Analysis and Critical Debugging
The student will learn to provide log files to Claude Code so that it can correlate error messages with the source code, identify the root cause of the problem, and propose a tested fix autonomously.
CLAUDE CODE AND THE AGENTIC LOOP
When you give Claude a task, it works through three phases: gathering context, taking action and verifying results. Those phases blend into each other. Claude uses tools throughout, whether searching files to understand your code, editing to make changes or running tests to check its work.
The loop adapts to what you ask. A question about your codebase may need only context gathering. A bug fix goes through all three phases repeatedly. A refactor may involve extensive verification. Claude decides what each step requires based on what it learned in the previous one, chaining dozens of actions and correcting itself along the way.
You are part of this loop too. You can interrupt at any point to steer Claude in a different direction, provide extra context or ask it to try another approach. Claude works autonomously, but stays responsive to your input.
Image taken from the documentation code.claude.com