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AI Fix Prompts for Coderunner
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)
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Feed these prompts to any AI coder: Claude Code, Cursor, Copilot, GPT, Ollama
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 'jmrothberg__CodeRunner' is failing the quality gate. Failed conditions: - overall_score: actual 47.4 >= 50 (FAILED) Fix each failing condition to make the repo pass the quality gate.
Repobility · code-quality intelligence · https://repobility.com
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 'jmrothberg__CodeRunner' 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 6 scorecard failures (40%)
scorecard compliance
Expected outcome: Scorecard score improved from 40% to 80%+
Files to modify: Will be determined by the AI
Prompt (copy this into your AI assistant)
Repository 'jmrothberg__CodeRunner' fails 6 scorecard checks (score: 40%): - Has LICENSE: Repository has a LICENSE file - Has CI/CD: Repository has CI/CD configuration - Has Tests: Repository has test files - Has Docker: Repository has Dockerfile - 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:
Generated_games/Pac-ManQ3480.py, Generated_games/Pac_man_bestever_claude4.52ndround.py, Generated_games/Defender_Q3480B6t1.py, Generated_games/Asteroid_120b8bit.py, Generated_games/Asteroid_Q380B_thinking.pyPrompt (copy this into your AI assistant)
These files in 'jmrothberg__CodeRunner' have high cyclomatic complexity: - **Generated_games/Pac-ManQ3480.py**: complexity=170, max nesting=7, longest function=152 lines - **Generated_games/Pac_man_bestever_claude4.52ndround.py**: complexity=147, max nesting=10, longest function=113 lines - **Generated_games/Defender_Q3480B6t1.py**: complexity=135, max nesting=10, longest function=224 lines - **Generated_games/Asteroid_120b8bit.py**: complexity=132, max nesting=6, longest function=184 lines - **Generated_games/Asteroid_Q380B_thinking.py**: complexity=90, max nesting=5, longest function=120 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