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Varietyz/Disciplined-AI-Software-Development

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This methodology provides a structured approach for collaborating with AI systems on software development projects. It addresses common issues like code bloat, architectural drift, and context dilution through systematic constraints and validation checkpoints.

active 2025-09-042026-05-23 (UTC)

Complete coverage26,668 / 26,668 hourly files (100%) · 2 absent upstream2023-08-152026-08-30 (UTC)
Events
251
Pushes
14
Pull requests
2
Issues
0
Stars
218
Forks
14

Activity over time

Daily event counts in the loaded window

Line chart, 262 days from 2025-09-04 to 2026-05-23. Pushes: 14 total, peak 4 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 in a day. Stars: 218 total, peak 91 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Varietyz171411
rafaelassumpcao1010

Recent activity

Latest issues, pull requests and releases

  • Pull request#3Varietyz2025-09-09 22:34
  • Pull request#3rafaelassumpcao2025-09-09 22:29
  • Issue comment#1Varietyz2025-09-06 22:00
    Feature Request: Add Example Projects to Demonstrate Methodology Stages

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 218 stars here means stars gained during the window, not the repo's star count.