Parallel-agent answer
Multiple AI coding agents can work safely on the same codebase when they do not share uncontrolled write authority. Each agent needs a bounded task, isolated branch or worktree, exact baseline, current ownership lease and defined evidence gates. One canonical integration authority resolves accepted changes into the shared repository.
Parallel tasks should minimise overlapping files and shared contracts. Dependencies must remain ordered when one change establishes an interface another requires.
Architecture-aware decomposition matters more than simply assigning one ticket per agent.
Workers can fail and later return. Fenced execution marks an ownership generation so an expired result can be retained for diagnosis but rejected as a current delivery.
This is how Nexus prevents multiple coding agents conflicting through stale authority.
A passing test in one isolated branch does not authorise a merge. Exact-SHA review and the canonical integration path confirm that the accepted candidate is still the candidate being integrated.
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