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AI Fix Prompts for Geostationary

Copy any prompt below into Claude, ChatGPT, or your AI coding assistant to automatically fix the issue. Each prompt includes full context, code location, and step-by-step fix instructions.

Total Prompts

Critical (P0)

High (P1)

Medium (P2)

Low (P3)

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MEDIUM ⚡ quick-fix #1

Add a LICENSE file

license legal

Expected outcome: LICENSE file added

Files to modify: Will be determined by the AI

Prompt (copy this into your AI assistant)

Repository 'project-zenith-systems__geostationary' has no detectable license. Add a LICENSE file. For open-source projects, MIT is recommended unless dependencies require a specific license. Create the full file.

Open data scored by Repobility · https://repobility.com

MEDIUM ⚒ significant #2

Simplify 3 high-complexity files

complexity refactoring quality

Expected outcome: All listed files reduced to medium or low complexity

Files to modify: modules/network/src/server.rs, modules/network/src/client.rs, src/main.rs

Prompt (copy this into your AI assistant)

These files in 'project-zenith-systems__geostationary' have high cyclomatic complexity:

- **modules/network/src/server.rs**: complexity=99, max nesting=21, longest function=123 lines
- **modules/network/src/client.rs**: complexity=49, max nesting=16, longest function=100 lines
- **src/main.rs**: complexity=6, max nesting=6, longest function=81 lines

For each file:
1. Break large functions into smaller, focused functions
2. Reduce nesting depth (extract early returns, use guard clauses)
3. Simplify conditional logic
4. Extract complex expressions into named variables