AI Prompts for Code Files

“Explain the architecture of this codebase”

Get a high-level overview of how the code is structured and how components interact.

“Find potential bugs in these files”

AI reviews code for common bugs, edge cases, and logic errors.

“Review this code for security vulnerabilities”

Check for SQL injection, XSS, authentication issues, and other security risks.

“What does this function do?”

Get a plain-English explanation of any function, class, or module.

“Suggest improvements to this code”

Get recommendations for better patterns, performance, and readability.

“Find all the API endpoints in this project”

Map out every HTTP endpoint and their request/response formats.

“What dependencies does this project use?”

List all libraries, frameworks, and external dependencies.

“Is there any dead code in these files?”

Identify unused functions, variables, and imports.

“Explain the data flow in this application”

Trace how data moves from input to output through the system.

“What's the test coverage like?”

Analyze existing tests and identify areas missing coverage.

“Find all TODO and FIXME comments”

Collect all developer notes and unfinished items across the codebase.

“How does authentication work in this app?”

Explain the auth flow including login, sessions, tokens, and permissions.

“What database queries does this code make?”

Find all database interactions and analyze query patterns.

“Identify performance bottlenecks”

Spot N+1 queries, unnecessary loops, and other performance issues.

“Generate documentation for this module”

Create README-style documentation from the code itself.