As an Aided Tool in Development
By the end of this session, participants will:
Know where Claude adds value in development workflows
Apply Claude for bug fixing, code quality, TDD, and security
Recognize and avoid common AI misuse patterns
Example project: Laravel / Vue / API
Claude Code (IDE / CLI) + Existing tests
Fix a real bug & improve code quality safely
Common debugging challenges developers face
Inconsistent behavior across environments
Unexpected input combinations
Unfamiliar or legacy code
Guessing instead of knowing
"Explain what this function does"
"What edge cases could break this?"
"Where could this return null?"
"Refactor this for readability"
"Make this code more testable"
"Explain why this refactor is better"
Does behavior stay the same?
Are edge cases handled?
Is complexity reduced?
Not knowing what to test
Incomplete coverage
Retrofitting tests after code
Tests that don't reflect purpose
"Write tests first for this requirement"
"What edge cases should be tested?"
"Which test should fail first?"
Ship features first mentality
Assuming it's secure enough
Security knowledge gaps
No dedicated security review
"Review this code for security vulnerabilities"
"Fix this code"
Vague, no context, no expectation
"Fix this bug and explain why it happens"
"Refactor without changing behavior"
"List assumptions and risks"
Always provide relevant background
Understand the reasoning
Question and verify suggestions
Always validate before using
System design requires deep business understanding
Never share credentials or keys
Strategic decisions need human judgment
Don't use what you don't understand
Coming Next
Goal-oriented AI workers
Reusable instruction sets
Quality, speed, and risk
Let's explore real-world scenarios together