You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -31,7 +31,7 @@ This project was developed with a specific goal: **to create an enterprise-grade
31
31
32
32
***Goal:** The primary objective was to build a robust foundation for OIDC authentication that adheres to modern best practices, achieves high test coverage (≥80%), includes comprehensive documentation, and can be readily adapted for real-world enterprise projects. A secondary goal was to establish and refine a clear, repeatable workflow for AI-driven software development using VScode and Roo Code.
33
33
***Process:**
34
-
* The initial Product Requirements Document (PRD), Architecture Guidelines, Coding Guidelines, and High-Level Plan were drafted using an AI assistant (o3).
34
+
* The initial Product Requirements Document (PRD), Architecture Guidelines, Coding Guidelines, and High-Level Plan were drafted using ChatGPT with o3.
35
35
* From that point, the entire implementation followed a strictly automated flow defined in `.clinerules` and `.roomodes`, executed by Roo Code.
36
36
* While highly automated, the workflow incorporated deliberate human review checkpoints at key stages (e.g., after planning subtasks for each implementation step). This ensured alignment and allowed for course correction where needed, keeping the human developer in control.
37
37
***AI Models Used:** The core coding tasks were performed by Large Language Models, specifically Anthropic's Sonnet 3.7 and Google's Gemini Pro (preview-03-25). While both were effective, the code generated by Gemini Pro was often preferred, though it came at a higher operational cost.
0 commit comments