Multi-agent answer
Multi-agent coding uses several AI coding workers on one software programme, often in parallel. Safe multi-agent coding gives each worker bounded ownership and isolated repository state, records dependencies durably, rejects stale results, and integrates reviewed commits through a single authority instead of letting agents overwrite a shared codebase.
Launching many agents can increase activity while also increasing duplicated work and Git conflicts. Coordination requires dependency-aware allocation and clear ownership.
The number of verified, integrable deliveries is more meaningful than the number of active agents.
Each worker should receive an exact baseline and its own branch or worktree. A fence proves that the assignment is still current when delivery arrives.
Independent review then evaluates the exact candidate SHA before integration.
Nexus stores work state in PostgreSQL, schedules ready slices and keeps one canonical repository authority. Failed or late workers can be recovered without guessing from chat history.
Nexus launch access
Register your interest now and we will let you know when the autonomous AI software engineering control plane is ready.
