Confident Claude Code workflow - You will learn how to give effective natural-language instructions, inspect project structure, and use Claude Code productively when working with an existing codebase.
A setup ready for real work - You will install Claude Code, configure access and permissions correctly, and prepare your terminal and repository so you can work on a project safely and efficiently.
Faster feature delivery - You will turn functional requirements into working modules and components, and learn how to guide AI through multi-file changes and iterative improvements to a solution.
More effective debugging - You will identify root causes faster, interpret error messages with more confidence, apply fixes, and verify results using tests and practical validation of code changes.
Higher code quality - You will learn how to use AI to simplify code, remove duplication, and improve project structure so your changes become easier to read, maintain, and evolve safely.
Tests and docs without delays - You will speed up unit test creation, README updates, comments, and run instructions, making it much easier to keep your implementation aligned with requirements.
Safer repository work - You will learn to review Git changes, prepare meaningful commits, and inspect modifications before approval, including situations where you work close to production code.
Smarter AI use in teams - You will adopt practices that help automate repetitive development tasks, support code review, and control risk when AI suggests changes across a larger project.
Programming basics - You should be comfortable reading and editing code in at least one programming language so you can assess AI suggestions and make informed changes during the workshop.
Terminal skills - You should know basic terminal commands, move between directories, and run a project locally, because the training includes hands-on work in a CLI environment.
Git fundamentals - You should understand core Git concepts such as commits, diffs, branches, and change review so you can work with a repository and follow Claude Code outputs easily.
Project structure awareness - You should understand how a typical application is organized and where to find logic, configuration, and tests, so you can review AI-generated changes with confidence.
