PlannerCritic LLM engine evolves from 10 issues to zero in field tests

An open-source engine called PlannerCritic, designed for LLM-driven planning and review, has undergone extensive field testing. Initial tests with version 0.1.0 identified 10 issues, including design flaws and harness bugs, at a cost of $0.30. Subsequent updates, particularly version 0.2.1, significantly improved the system, with code reviews catching all identified bugs before field testing, resulting in zero issues found during the latest tests. AI

IMPACT This detailed field testing methodology for LLM agents highlights the importance of robust evaluation beyond traditional unit tests, crucial for reliable agent deployment.

RANK_REASON The item describes the development and testing of an open-source LLM engine, detailing its evolution and bug-finding capabilities.

Read on dev.to — LLM tag →

• GPT-4o
• gpt-4o-mini
• PlannerCritic
• Qwen3.5-4B
• Qwen3.5-9B
• v0.1.0
• v0.2.0
• v0.2.1

• product
• infra

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