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Delegate coding tasks to OpenAI subagents with parallel, cheap, verified orchestration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "gpt-subagents-api" yet — see the docs or source repo.
Split this large refactoring task across multiple OpenAI subagents in parallel: one for the API layer, one for database migration, and one for test coverage. Then merge the results, check for conflicts, and produce a final integration-ready plan.
A parallel work breakdown, consolidated subagent outputs, conflict checks, and a unified refactoring plan.
Use a context-cheap mode to have subagents review this PR for security, performance, and maintainability, returning only key issues, suggested fixes, and risk levels.
Concise review feedback by dimension, including issue summaries, risk levels, and suggested fixes.
Have one subagent generate unit tests for this code, then another verify whether the tests cover edge cases and failure scenarios, and finally output runnable test files with a verification summary.
Runnable test code, coverage notes, and a quality conclusion after secondary verification.
Resume sessions and run parallel autonomous agents for faster Claude Code workflows.
Delegate Claude Code subagents to local or external model backends seamlessly.
Enable parallel specialized sub-agents and durable logs for Codex CLI workflows.
Coordinate multiple Claude Code agents for collaborative development and automated code review.
Delegate code investigation, edits, and verification to Claude Code with background job management.
Delegate coding tasks to background AI coding agents for implementation and changes.