Loading patterns…
Fork-Join
Forks tasks into parallel subtasks and joins results when complete
In 30 seconds
- What
- Splits a task into independent parallel subtasks, waits for all to finish, then combines their results.
- When to use
- Large problems decomposable into independent work where parallel execution saves time versus sequential processing.
- Watch out
- Synchronization overhead and result-merging complexity can eliminate speedup gains on small or tightly-coupled tasks.
Ask the AI expert about this pattern
Opens the assistant with your question prefilled. You review it before sending.
Fork-Join: Overview
Forks tasks into parallel subtasks and joins results when complete
- Task decomposition
- Parallel execution
- Synchronization points
- Result combination
The Agent Architect
One pattern, one tradeoff, one production failure story. A short weekly briefing for people building agentic systems.
Weekly email, one-click unsubscribe. We only use your address to send the briefing.
References
The papers, specifications, and repositories this pattern is based on.
From the engineer behind this catalog
Get your agent architecture reviewed
This page documents one pattern. Your system runs dozens, and most failures live in how they fit together. Have the whole design reviewed against the 288 patterns in this catalog: architecture, reliability, evaluation and cost, every finding mapped to the pattern that fixes it.
€750 instead of €1,500, one week, written report and walkthrough call, until 30 September