Master Thesis: Beyond Git: Source Control Architecture for Agentic Software Development
Core
Investigate how conventional Git-based source control behaves when hundreds of autonomous AI coding agents work concurrently on a shared codebase and compare it with alternative architectures for agent-scale development.
Role type
Master Thesis Researcher (Software Engineering / Distributed Systems)
Builds
Experimental environment simulating up to approximately 500 concurrent AI coding agents
Domain
Software Engineering, Distributed Systems, AI/LLM-based Agents
Deliverable
research
Required skills
version control (Git), continuous integration, programming (Python preferred), Linux environments, bash, distributed systems, performance analysis, experimental evaluation, LLM-based coding agents, containerization and orchestration
Preferred skills
Python, LLM-based coding agents, containerization and orchestration
