بنقرة واحدة
dogfood-run
Run dogfooding iterations to test the Sharpy compiler
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Run dogfooding iterations to test the Sharpy compiler
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Suggest and apply a semver version bump based on commits since the last tag
Push current branch to remote origin
Scaffold a new Sharpy.Stdlib module (spy-sourced or handwritten C#) with all required files, conventions, docs, and tests
Implement a plan with a coordinated agent team
Run compiler or cross-language benchmarks and compare results
Regenerate C# snapshot tests and spy stdlib after intentional codegen changes
| name | dogfood-run |
| description | Run dogfooding iterations to test the Sharpy compiler |
| argument-hint | [number_of_iterations] |
Run the Sharpy dogfooding pipeline to generate, compile, and verify AI-generated test cases.
Parse iteration count from $ARGUMENTS. If empty or non-numeric, default to 5.
Run the dogfooding tool in the background using Bash with run_in_background: true:
cd build_tools && python3 -m sharpy_dogfood run -n <N> --verbose 2>&1
Replace <N> with the parsed iteration count.
Inform the user that dogfooding is running in the background. Each iteration involves AI code generation + compilation + execution, so estimate roughly 1-2 minutes per iteration.
Wait for completion by reading the background task output.
Present results. After the task completes:
dogfood_output/SUMMARY.md (relative to the project root /Users/anton/Documents/github/sharpy/) and present its contents to the user./dogfood-analyze to classify them by root cause.