Claude Code Projects enables a single Coordinator to assign tasks to multiple Threads at the same time.
It seems straightforward:
If tasks can run in parallel, just run them all together.
But that’s often not the best approach.
Some tasks are truly independent, some require a prior step to finish first, and others shouldn’t automatically proceed even after AI completes them.
Today, we’ll focus on one simple method.
Before launching multiple Threads, first divide tasks into three categories:
Parallel / Dependent / Human Confirmation Required.
① Parallel: Tasks don’t need to wait for each other
The first category suits splitting into separate Threads immediately.
For example, if you are preparing to update a website:
- Thread A: Checking APIs
- Thread B: Analyzing Database Bottlenecks
- Thread C: Organizing Frontend Tests
- Thread D: Checking if documents still reference old Endpoints
As long as failure in one task doesn’t immediately invalidate other Threads’ inputs, parallel execution is appropriate.
The decision is simple:
“If A isn’t finished yet, can B still start normally?”
If yes, parallel work makes sense.
② Dependent: Clearly define the order
For dependent work, don’t just split into Threads to run simultaneously because Claude can.
Anthropic provided an example:
If handling API, Web, and Mobile repositories at the same time, Claude can create Threads for Migration, Tests, and Pull Requests separately, then tell you which PRs to merge first.
This means:
Tasks may run in parallel, but dependencies can still require a specific order.
For instance:
Database Schema must change first
→ Backend can then use new fields
→ Frontend can finally consume the new API responses.
If three Agents do not clearly understand this dependency chain, running faster may only cause more rework.
So this category only requires one thing:
Write down who must wait for whom.
③ Human Confirmation Required: Pause even after AI finishes
The third category is the Human Gate.
For example:
- Merging into the main branch
- Production deployment
- Database migration
- Deleting production data
- Modifying payment logic
- Changing permissions
- Official external commitments
Even if a Thread finishes these tasks, “completed” shouldn’t mean “execute automatically.”
Claude Code Projects’ Coordinator can manage multiple Threads, but the official reminder is that if different Threads modify the same code, Merge Conflicts will still occur like any other Pull Request.
So the Coordinator helps coordinate tasks,
but it does not eliminate all technical risks for you.
Summing up the three categories
Suppose you want to update Checkout:
Parallel
- Profile API
- Check Database Query
- Run Frontend Performance Tests
Dependent
- Database changes
- Backend updates
- Frontend integration
Human Confirmation Required
- Merge
- Migration
- Production deploy
That’s it.
You don’t even need to prepare complex flowcharts first.
Just take 30 seconds before starting and ask three questions:
Can this be done simultaneously?
Who absolutely must finish first?
Which steps must a human approve?
Why is this step becoming more important?
Claude Code Projects already lets a single Project run multiple Threads simultaneously, and each Thread runs a full Claude Code Cloud Session. Anthropic also warns that the more Threads you open, the faster your usage may be consumed.
So the truly efficient approach isn’t:
“Open as many Agents as you can.”
But rather:
“Only parallelize tasks that can truly run in parallel.”
As AI Agents take on more autonomous work, what people really need to learn is how to split tasks properly.
If you want to know which steps in your workflow are best to hand over to AI first, comment “Workflow,” and I can help you identify a good starting point.
Today, let’s progress a little with AI.
Learn one AI skill a day.
Save a little time every day.
Improve a little more daily.
SasaDaily grows with you.
