Claude Code’s Agent view gives me a satisfying dashboard of progress.
One session is implementing a feature.
Another is fixing a bug.
A third is updating a different part of the project.
Eventually, the rows move from “Working” to “Completed.” I open the application, check each result, and confirm that nothing appears broken.
Then I dispatch more work.
This feels extremely productive—and it is. But after using Agent view for a while, I noticed that I had quietly changed my definition of done.
I was no longer asking whether I understood the implementation.
I was mostly asking whether it worked.
Image source: Claude Code
Agent view changed the shape of my workflow
Agent view is a research-preview feature for managing multiple Claude Code sessions from one screen. I can dispatch independent tasks, monitor their status, respond when a session needs input, and attach when I want to enter the full conversation.
Each prompt starts a separate background session. That makes it easy to give Claude several unrelated tasks and let them progress at the same time.
For my work, that is genuinely useful.
I am currently involved in a Webflow-to-Astro-and-Sanity migration and a completely new web application. There is rarely only one task available. If one feature does not depend on another, I can send both to separate sessions instead of waiting for the first to finish.
Before Agent view, my workflow was mostly serial:
- Give Claude a task.
- Follow the implementation.
- Review the result.
- Start the next task.
Now it can be parallel:
- Dispatch several tasks.
- Check which sessions need input.
- Test completed results.
- Dispatch several more tasks.
The second workflow produces more code, but it removes a natural pause.
When I worked on one task at a time, reviewing the implementation was part of the rhythm. With several sessions finishing close together, review becomes a queue competing for my attention.
The agents can generate code in parallel.
I still have to understand it serially.
I started confusing verification with review
When a session completes, I usually open the result and test it.
Does the page render?
Does the interaction work?
Are there visible errors?
Did the bug disappear?
Those are important checks, but they are verification—not a complete code review.
Verification asks:
Does the result work right now?
Review asks a different set of questions:
- Why was it implemented this way?
- Does it follow the patterns already used in the project?
- Which assumptions does it make?
- What will be difficult to change later?
- Could I debug it without immediately returning to Claude?
I was consistently doing the first kind of checking and increasingly skipping the second.
If the feature worked without obvious errors or bugs, I moved on. I rarely opened every changed file or traced the important path through the implementation.
That is efficient in the short term. It is also how parts of my own application become unfamiliar to me.
I wrote more broadly about that feeling in Claude Code Made Me Faster. So Why Do I Feel Less Like a Coder?. Agent view made one particular cause much easier to see: my capacity to produce code had grown faster than my capacity to absorb it.
Completed does not mean reviewed
The status labels in Agent view are useful, but it is easy to give them more meaning than they actually have.
A completed session means the agent finished its task successfully. It does not mean I have inspected the diff, understood its decisions, or accepted the long-term maintenance cost.
Even “Ready for review” only tells me what should happen next.
It does not perform the review for me.
This distinction matters because a successful implementation creates momentum. Once I see that a task works, reading the code can feel like repeating work that has already been completed.
There is always another task I could start instead.
Agent view lowers the cost of starting that next task to almost nothing. I can type another prompt, press Enter, and watch a new session appear. Starting work is immediate; developing understanding is slower and less visible.
The interface did not force me to skip review. It simply made the tradeoff easier to ignore.
Parallel coding creates review debt
We often talk about technical debt: choices that save time now but make future changes harder.
Parallel AI coding can create a different kind of debt.
I think of it as review debt.
Review debt is the gap between code that has entered the project and code that I have actually understood. Like technical debt, it may not cause an immediate failure.
The feature can work.
The tests can pass.
The pull request can merge.
The cost appears later, when the feature needs to change or an unexpected bug crosses several AI-generated implementations. At that point, I am not only debugging the problem. I am learning the surrounding code for the first time.
One unreviewed task may not matter much. But Agent view makes it possible to accumulate several of them in one afternoon.
That is especially tempting because parallel sessions also consume quota in parallel. The documentation warns that ten concurrent agents use subscription quota roughly ten times as fast as one. Once I have spent that quota generating several implementations, I feel pressure to keep moving and get as much output as possible from the session.
But output is not the only valuable result of coding.
A useful mental model of the application matters too.
My new rule: review at the speed I can understand
I do not plan to stop using Agent view. The ability to run independent tasks simultaneously is too valuable, particularly across multiple projects.
Instead, I need to limit parallel work based on my review capacity—not only on how many sessions Claude can run.
I am experimenting with a few rules.
1. Treat “Ready for review” literally
When a session finishes, the task is not done. It has entered my review queue.
I should not dispatch several replacement tasks while completed implementations are still waiting for me to inspect them.
2. Ask for a review-oriented summary
Before I open the diff, I want a concise explanation of:
- Which files changed.
- Which important decisions were made.
- Which alternatives were considered.
- What assumptions or risks remain.
- How the implementation was tested.
The summary does not replace reading the code, but it gives me a map for the review.
3. Match review depth to risk
Not every change needs the same attention.
A small content adjustment and a new authentication flow should not receive identical review. The more a task affects data, security, shared abstractions, or core application behavior, the fewer parallel distractions I should allow while reviewing it.
4. Explain the important path without Claude
After reviewing a meaningful feature, I should be able to explain where it begins, how data moves through it, and where it can fail.
If I cannot explain that path, I have verified the output but have not yet understood the implementation.
5. Debug manually before delegating
When a simple problem appears, I want to spend some time investigating it before asking Claude to take over.
This is not because manual debugging is morally better. It is because debugging forces me to rebuild the context I lose when several agents write code in parallel.
These rules will make the workflow slightly slower.
That is the point.
The goal is not to make Claude Code produce as much code as possible. The goal is to ship software I can still maintain after the agents stop running.
The bottleneck moved
Before coding agents, implementation speed was one of my main constraints.
Agent view changes that. Claude can work on several tasks while I handle something else. The bottleneck is no longer how quickly code can be generated.
The bottleneck is how much of that code I can responsibly review and understand.
That is a better problem than being unable to build the features at all. But it is still a problem I need to design my workflow around.
Agent view did not make me careless. It showed me how easily I optimize for the most visible metric: completed tasks.
I still want those rows to turn green.
I just want to know what happened inside the code before I move on to the next one.