Delegate complex development goals to specialized, parallel sub-agents to accelerate coding tasks.
When tackling large, multi-faceted features, a single AI agent can run into context limits or execution bottleneck constraints. CoderX resolves this by supporting Sub-Agents—specialized helper agents that can be spawned to work on specific sub-tasks concurrently.
For example, your primary workspace agent can delegate styling tasks to a frontend-specialist while a backend-specialist updates database migrations in parallel.
The coordinator agent divides a complex project request into isolated work units, spawns sub-agents, monitors their progress, and integrates their changes:
graph TD
Main[Main Coordinator Agent] -->|Delegates UI| Sub1[Frontend Sub-Agent]
Main -->|Delegates DB| Sub2[Database Sub-Agent]
Main -->|Delegates Tests| Sub3[QA/Test Sub-Agent]
Sub1 -->|Sugges Diffs| Main
Sub2 -->|Suggest Diffs| Main
Sub3 -->|Suggest Diffs| Main
Main -->|Compiles & Merges| Workspace[Active Workspace]Sub-agents can be configured with specific prompts, system constraints, and tool limitations:
Tailored for React/Next.js UI updates, Tailwind class composition, accessibility (a11y) rules, and visual micro-animations.
Restricted to database schemas, SQL optimizations, ORM queries, and migration files. Blocked from editing frontend assets.
Specialized in writing Vitest, Jest, or PyTest suites. Operates in a loop to execute tests and fix failing coverage reports.
Inspects code additions for dependency vulnerabilities, SQL injections, open secrets, and credential leaks.
To delegate work, the main agent invokes the invoke_subagent tool. Here is the lifecycle of a sub-agent task:
The main agent creates a sub-agent session with a dedicated scope (e.g. "Create unit tests for auth-service.ts").
The sub-agent receives a read-only snapshot of the workspace, focusing only on files relevant to its task.
The sub-agent executes its task independently, planning its actions, writing code in its temporary workspace, and running validation checks.
Once completed, the sub-agent packages its proposed file diffs and reports back. The main coordinator reviews the diffs, checks for file conflicts, and merges the changes into the active workspace.
[!TIP] Running sub-agents in parallel dramatically reduces task execution times. However, since each sub-agent makes its own API requests, make sure your LLM rate limits and API budgets are configured to accommodate parallel requests.
Navigate to Settings > Agent > Sub-agents to control:
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