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Public story · 2026-02-12 · source-backed
The flagship pattern for complex tasks. LLMs perform worse as context expands, so splitting work across specialized agents with narrow scopes outperforms monolithic agents. Best use cases: competing-hypothesis debugging (parallel theory testing), cross-layer features (frontend/backend/tests owned separately), and parallel code review with specialized lenses. Aim for 5-6 tasks per teammate, ensure distinct file ownership to prevent merge conflicts.
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Shared entity: Claude Code Docs / Same source / Shared topic / What happened next
Both cover Claude Code Docs; cite the same source (Claude Code Docs); overlapping topics (claude, code, context, task).
Both cover Claude Code Docs; cite the same source (Claude Code Docs); overlapping topics (agent, claude, code, parallel).
Shared entity: LLMs / Same source domain / Shared topic / What happened next / Tension
Both cover LLMs; reported by the same outlet (code.claude.com); overlapping topics (agent, claude, code, context).
Shared entity: Claude Code Docs / Same source / Shared topic / What happened next / Tension
Both cover Claude Code Docs; cite the same source (Claude Code Docs); overlapping topics (agent, code).
Shared entity: Claude Code Docs / Same source domain / Shared topic / What happened next
Both cover Claude Code Docs; reported by the same outlet (code.claude.com); overlapping topics (agent, claude, code, parallel).
Both cover Claude Code Docs; reported by the same outlet (code.claude.com); overlapping topics (best, claude, code, parallel).
Both cover Claude Code Docs; reported by the same outlet (code.claude.com); overlapping topics (agent, claude, code).
Both cover Claude Code Docs; reported by the same outlet (code.claude.com); overlapping topics (agent, claude, code).