Workshops small

Mining the Git Goldmine

kindly offered byCode4Thought

Date / Time: Friday 10 November / 16:10-17:10 EET @ Workshop room (1st floor Right - Room 105)

Speaker: Alex T. Zacharopoulos
Head of delivery and innovation @ SIG and @ Code4Thought

Speaker: Artemis Kouniakis

Software Consultant @ Code4Thought

Workshop Description
The proposed workshop is designed to address the needs of tech leads and engineering managers, thus the content and exercises will focus on the effective utilization of analyzed data from git repositories to optimize software development processes and enhance team dynamics. An AI-generated code topic will be briefly introduced as a teaser, while the focus remains on practical insights and techniques (based on the fundamentals of software development).

By the end of the workshop, participants will be able to apply the insights and techniques learned to their own projects and teams, and continuously monitor and learn from their git repositories for ongoing improvement.

What will you Learn:
Equip tech leads and engineering managers with the knowledge and skills needed to effectively utilize analysed data extracted from git repositories for optimising software development processes, improving team dynamics, and driving continuous improvement within their teams.

Level: Beginner / intermediate

TAGs: #git #repository-mining #code-quality #architecture #team-dynamics

Target audience: Tech leads, Engineering managers, Developers who want to want to improve their skills in a data-driven way.

Prerequisites on Audience: 

  • Own laptop.
  • Git, Python, Pip installed.
  • Experience on working with Python.
  • Knowledge on basic data analysis concepts


  • Software developed during the workshop.
  • The presentation presented during the workshop.


Introduction (10 minutes)

  • Brief overview of the workshop and its objectives
  • Importance of utilizing data from git repositories for tech leads and engineering managers

Leveraging Commit Data, Component Activity Distribution, and Code Volume Insights (15 minutes)

  • Presentation on interpreting commit data, component activity distribution, and code volume and quality metrics
  • Hands-on exercise: Analysis of an open-source project’s commit data

Harnessing Author Collaboration, Knowledge Distribution, and Team Dynamics Insights (15 minutes)

  • Presentation on collaboration patterns, knowledge distribution, and team dynamics
  • Hands-on exercise: Analysis of team dynamics data

A Glimpse into AI’s Impact (5 minutes)

  • A brief teaser on AI-generated code’s impact

 Conclusion (5 minutes)

  • Recap of key learnings
  • Calls to action: How to apply these insights