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AI Fix Prompts for Land2Port

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.

4

Total Prompts

0

Critical (P0)

1

High (P1)

3

Medium (P2)

0

Low (P3)

HIGH ⚙ moderate #1

Fix quality gate failures (1 conditions)

quality-gate quality

Expected outcome: All quality gate conditions pass

Files to modify: Will be determined by the AI

Prompt (copy this into your AI assistant)

Repository 'paulingalls__land2port' is failing the quality gate.

Failed conditions:
- overall_score: actual 49.9 >= 50 (FAILED)

Fix each failing condition to make the repo pass the quality gate.

Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/

MEDIUM ⚡ quick-fix #2

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 'paulingalls__land2port' 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.

MEDIUM ⚙ moderate #3

Fix 5 scorecard failures (50%)

scorecard compliance

Expected outcome: Scorecard score improved from 50% to 80%+

Files to modify: Will be determined by the AI

Prompt (copy this into your AI assistant)

Repository 'paulingalls__land2port' fails 5 scorecard checks (score: 50%):

- Has LICENSE: Repository has a LICENSE file
- Has CI/CD: Repository has CI/CD configuration
- Has Tests: Repository has test files
- Quality Gate Passed: Passes the default quality gate
- Grade C or Above: Overall quality grade is C or better

Fix each failing check.

MEDIUM ⚒ significant #4

Simplify 5 high-complexity files

complexity refactoring quality

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

Files to modify: src/history_smoothing_video_processor.rs, src/image.rs, src/video_processor.rs, src/main.rs, src/ball_video_processor.rs

Prompt (copy this into your AI assistant)

These files in 'paulingalls__land2port' have high cyclomatic complexity:

- **src/history_smoothing_video_processor.rs**: complexity=56, max nesting=8, longest function=86 lines
- **src/image.rs**: complexity=55, max nesting=6, longest function=171 lines
- **src/video_processor.rs**: complexity=41, max nesting=8, longest function=66 lines
- **src/main.rs**: complexity=30, max nesting=4, longest function=84 lines
- **src/ball_video_processor.rs**: complexity=29, max nesting=8, longest function=84 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