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Want AI to work in parallel? First give each one its own workspace

A while back I wrote about parallelism—taking one big task, splitting it, and fanning it out to...

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redis.io

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dev.toStai leggendo4 g fa

Want AI to work in parallel? First give each one its own workspace

A while back I wrote about parallelism—taking one big task, splitting it, and fanning it out to...

originale

redis.io3 g fa

Sub-agents: splitting context across specialized AI agents

Learn how sub-agents solve context window limits, why coordination fails without shared memory, and how Redis keeps multi-agent systems coherent at scale.

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Timeline cronologica

lunedì 22 giugno 2026·dev.to
When AI Agents Start Working Together: Three Challenges No One Talks About
The trajectory of AI agents over the past two years has been remarkably clear: from single-purpose...
lunedì 22 giugno 2026·dev.to
Coordinating multiple AI coding agents on one repo or multiple in your own ecosystem — without git worktrees
Worktrees isolate parallel agents; frameworks make you build them. There is a third option: a local-first coordination bus. Here is how it works, with code.

Want AI to work in parallel? First give each one its own workspace

Sub-agents: splitting context across specialized AI agents

Timeline cronologica

When AI Agents Start Working Together: Three Challenges No One Talks About

Coordinating multiple AI coding agents on one repo or multiple in your own ecosystem — without git worktrees

Want AI to work in parallel? First give each one its own workspace

Sub-agents: splitting context across specialized AI agents