Agent Conflict Radar — catch intent conflicts between parallel coding agents

Detect architectural conflicts between AI agents before they write code

Problem

Teams run multiple coding agents on one repo using parallel worktrees. One agent replaces a class while another is extending it, but Git only flags textual conflicts at PR time. The real damage is architectural: two plans that cannot both be true, discovered too late. The author says these failures hurt the most because they waste hours of review and rework.

Solution

A lightweight service where each agent declares its intent before touching code—files it plans to modify, classes/methods it will add or remove, architectural assumptions. It cross-checks intents, alerts on semantic conflicts immediately, and surfaces a conflict list with coordination suggestions before PR time.

Users

Dev teams running multiple coding agents, AI-native startups, platform engineers

MVP

A CLI for agents to declare modification intent; a local or lightweight coordination service tracking active intents; conflict detection limited to file/class/method overlap; alerts and suggestions when conflicts arise; GitHub PR integration posting a conflict summary

Revenue

Per-seat team subscription; free tier supports up to 3 concurrent agents, paid unlocks more and conflict history

Why now

Parallel coding agents are becoming a mainstream workflow, but conflicts still surface only at PR time—almost no independent tools tackle this