Awesome/awesome-copilot
1
0
Fork 0
mirror of https://github.com/github/awesome-copilot.git synced 2026-02-20 10:25:13 +00:00
Code Issues Packages Projects Releases Wiki Activity

Apply suggestions from code review

Browse Source 
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
Anthony Shaw
2026-02-11 05:48:44 -08:00
committed by GitHub
parent d8fc473383
commit 7e39d55028
7 changed files with 105 additions and 97 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
cookbook/copilot-sdk/python/ralph-loop.md
View File

@@ -5,11 +5,9 @@ Implement self-referential feedback loops where an AI agent iteratively improves
> **Runnable example:** [recipe/ralph_loop.py](recipe/ralph_loop.py)
>
> ```bash
> cd python/recipe
> pip install -r requirements.txt
> cd recipe && pip install -r requirements.txt
> python ralph_loop.py
> ```
## What is RALPH-loop?
RALPH-loop is a development methodology for iterative AI-powered task completion. Named after the Ralph Wiggum technique, it embodies the philosophy of persistent iteration:
@@ -21,13 +19,13 @@ RALPH-loop is a development methodology for iterative AI-powered task completion
## Example Scenario
You need to iteratively improve code until all tests pass. Instead of asking Claude to "write perfect code," you use RALPH-loop to:
You need to iteratively improve code until all tests pass. Instead of asking Copilot to "write perfect code," you use RALPH-loop to:
1. Send the initial prompt with clear success criteria
2. Claude writes code and tests
3. Claude runs tests and sees failures
2. Copilot writes code and tests
3. Copilot runs tests and sees failures
4. Loop automatically re-sends the prompt
5. Claude reads test output and previous code, fixes issues
5. Copilot reads test output and previous code, fixes issues
6. Repeat until all tests pass and completion promise is output
## Basic Implementation