Original sourceDigg
Summary
A community share reposted by Digg showcases a developer using Codex sub-agents for parallel QA in a real-world workflow. During the release preparation of the open-source project OpenClaw, the developer launched 12 to 20 sub-agents simultaneously, using live API keys for stress testing, autonomous…
Key points
- Provides developers with a practical case of using AI agents for large-scale parallel automated testing, highlighting current limitations and improvement directions.
- Real-world case proves AI agents can manage dozens of test tasks concurrently and autonomously submit fixes, opening new possibilities for software release process automation.
- Development teams can consider adopting Codex sub-agents to accelerate regression testing and bug fixing, but need accompanying monitoring to address reliability issues in long-duration runs.
Editorial note
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