Claude Code Workshop

Generating a script is easy to demonstrate. Building a command-line utility that can be trusted with real files and local data requires more care.
When an AI assistant proposes Python code, a successful first run does not establish that the tool handles bad input, protects existing data, explains errors, or behaves consistently across repeated executions. Clear requirements and deliberate review matter just as much as the generated implementation.
This workshop takes a practical approach to small command-line applications. It focuses on converting everyday tasks into bounded software requirements, asking for manageable changes, and examining the results before treating a utility as finished.
Learn to break a request into checkable requirements, assess suggested commands, identify assumptions in proposed code, and plan meaningful tests. Study how a small local database changes the design of a tool and why safer file operations and carefully limited permissions matter when automation runs without constant supervision.
The approach suits early-career developers, independent learners, and programmers creating personal productivity utilities. Readers should be willing to inspect and test code rather than rely entirely on automated suggestions.
Begin with a small useful task and develop the habits needed to inspect, test, and safely operate the tool that implements it.