How We Built Conflict Detection for AI Coding Sessions

One of TeamContext’s most requested features is conflict detection — the ability to know when two engineers are working on the same files or systems before they create merge conflicts.

The Problem

In traditional development, file locking and branch strategies help prevent conflicts. But with AI-assisted development, changes happen much faster. An engineer might ask Claude to refactor an entire module while a teammate is building a new feature in the same area.

Our Approach

We built a real-time overlap detection system that tracks which files and systems each team member is actively working in. When we detect overlap, we send an alert with context about what each person is doing, so they can coordinate before conflicts arise.

Technical Implementation

The system uses a sliding window of recent file changes combined with semantic analysis of the work being done. We don’t just check for exact file matches — we also detect architectural-level overlaps where two engineers might be modifying different files but affecting the same system.

The result: teams using conflict detection report 70% fewer merge conflicts and significantly less rework.