Crafting Effective Requests

Thunderflow AI is engineered to understand natural language communication. There's no need for specialized commands or syntax—simply express your needs in plain English, just as you would when collaborating with a human developer.

Strategies for Optimal Communication

When formulating your requests, clarity and precision significantly enhance Thunderflow AI's ability to deliver exactly what you need.

Strategy	Implementation
Be specific and precise	"Fix the bug in calculateTotal that returns incorrect results when processing negative values" instead of "Fix the code"
Provide relevant context	Utilize @ Context Mentions to reference specific files and code segments
Structure complex tasks	Divide sophisticated requirements into smaller, more manageable sequential steps
Illustrate with examples	Include sample code snippets when you require particular formatting or coding style

Request Examples

create a new file named `utils.py` and add a function called `add` that takes two numbers as arguments and returns their sum

in the file @src/components/Button.tsx, change the color of the button to blue

find all instances of the variable `oldValue` in @/src/App.js and replace them with `newValue`

run the command `npm install` in the terminal

explain the function `calculateTotal` in @/src/utils.ts

@problems address all detected problems

Communication Practices to Avoid

DON'T	DO
Submit vague or ambiguous requests	Clearly specify exactly what needs to be accomplished
Assume Thunderflow AI understands implicit context	Explicitly reference relevant files, functions, and requirements
Use excessive technical jargon or abbreviations	Communicate with clear, straightforward language
Combine multiple unrelated tasks in one request	Focus each submission on a single, coherent objective
Proceed without verifying generated solutions	Review the code to ensure it meets all requirements before moving forward