What Are Claude Code Subagents? Explained

If you've spent time in Claude Code, you've probably seen it mention "subagents" — specialized helper agents that the main agent can delegate a piece of work to instead of doing everything itself in one long conversation. It's a genuinely useful concept once you understand what problem it solves, and it points at something bigger than one tool: coding agents are moving from "one thread doing everything" toward "a main agent that can farm work out." This post explains what subagents are and how they're meant to be used, then looks at meshcode's own take on parallel agent work — running multiple agents in separate panes of one native app.

The problem subagents solve

A single long-running AI coding conversation has a real limitation: everything shares one context window. Ask an agent to fix a bug, refactor a module, and write tests, and each of those tasks adds transcript, tool output, and file contents to the same growing context. Eventually the agent is reasoning with a cluttered, half-relevant history, and quality drops — it starts forgetting earlier decisions or getting confused about what it already tried.

Subagents address this by giving a piece of work its own dedicated context. Instead of one agent doing everything in sequence inside a single thread, the main agent can hand off a well-scoped task — "investigate why this test is failing," "review this diff for security issues," "search the codebase for every place this function is called" — to a subagent that starts with a clean, focused context, does its job, and reports back a result. The main thread doesn't get cluttered with the subagent's intermediate exploration; it just gets the answer.

How subagents typically work

The general pattern across coding agent tools that support this concept looks like:

• A defined task or role. A subagent is usually given a specific job — research a question, review code, run a search, execute a narrow fix — rather than an open-ended "do everything" brief.
• Its own context window. The subagent doesn't inherit the full history of the main conversation; it gets what it needs to do its specific job, which keeps its reasoning focused.
• Tool access. Subagents can typically use the same categories of tools the main agent can — reading files, running commands, searching — scoped to what their task requires.
• A summarized handback. When the subagent finishes, it returns a result or summary to the main agent, not a full transcript, so the main thread's context stays clean.

The practical benefit is quality and focus: a subagent investigating a bug doesn't drag fifty lines of unrelated conversation into its reasoning, and the main agent doesn't have to hold every detail of that investigation in its own head once it has the answer.

When subagents actually help

Subagents earn their keep on tasks that are well-defined but effort-intensive to explore — "find every caller of this API across the codebase," "check this PR for common security mistakes," "figure out why this build is failing." They're less useful for tasks that need tight, continuous back-and-forth with you, since the point of a subagent is that it works somewhat independently before reporting back.

Another shape for parallel agent work: multiple agents, multiple panes

Subagents are one way to get parallelism inside a single agent's workflow. meshcode takes a related but different approach at the app level: instead of one agent internally spawning helpers, you split your workspace into panes and run entirely separate agents side by side, each visible and steerable on its own. Put the built-in meshcode model on one task in one pane, your own Claude on a second task in another pane, and your own Codex on a third — all running at the same time, all supervised by you in one native desktop app.

The difference in feel is that subagents are mostly invisible — you see the main agent's summary, not the subagent's raw work — while meshcode's panes are fully visible and independently steerable. You can watch each agent work, interrupt any one of them, or redirect a pane without touching the others. For work where you want to stay in the loop on everything happening in parallel, rather than only seeing final summaries, that's a meaningfully different way to get the same core benefit: more than one thing getting done at once, without one shared context getting overloaded.

Using both together

These ideas aren't in competition — they solve overlapping problems at different layers. Within any single pane in meshcode, an agent doing complex work still benefits from breaking a big task into focused sub-steps. And meshcode's multi-pane layout adds a second, coarser layer of parallelism on top: entire separate agents, each free to use whatever internal delegation their own workflow supports, running alongside each other where you can see all of it at once.

The takeaway

Subagents exist to keep an agent's context clean and focused by delegating well-scoped sub-tasks and returning summarized results. It's a solid pattern for keeping quality high on any single thread of work. If what you actually want is to watch and steer several full agents — including your own Claude and Codex — running at the same time in one place, meshcode's multi-pane workspace is built for exactly that.

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