I found this course while looking for practical, professional workflows around agentic coding. The methodology/practical-techniques structure maps closely to something I built as a small scaffold:
https://github.com/rxdt/py_ralph_frame
It is a minimal guarded loop for Claude Code, Codex CLI, or Gemini CLI:
- standing
PROMPT.md
- specs as source of truth
- fresh-context iterations
- status handoff docs
- git hooks and CI gates
- hard iteration/time caps
Try it from GitHub:
uvx --from git+https://github.com/rxdt/py_ralph_frame ralph-harness demo
I built it because the alternatives I tried were either too bloated, too complex, or cost money before I could tell whether the loop was useful.
Would a concrete scaffold like this fit as an example/exercise under workflow design, grounding, testing, or review? If yes, I can shape it around the course style rather than just link the repo.
I found this course while looking for practical, professional workflows around agentic coding. The methodology/practical-techniques structure maps closely to something I built as a small scaffold:
https://github.com/rxdt/py_ralph_frame
It is a minimal guarded loop for Claude Code, Codex CLI, or Gemini CLI:
PROMPT.mdTry it from GitHub:
I built it because the alternatives I tried were either too bloated, too complex, or cost money before I could tell whether the loop was useful.
Would a concrete scaffold like this fit as an example/exercise under workflow design, grounding, testing, or review? If yes, I can shape it around the course style rather than just link the repo.