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

By PulseAugur Editorial · [1 sources] ·

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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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

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The item describes the development and testing of an open-source LLM engine, detailing its evolution and bug-finding capabilities.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Debashish Ghosal ·

    I Ran 170 Agent Goals for $0.49. The Field Test Found 10 Issues That Unit Tests Never Would.

    <blockquote> <p>This is article 4 in a series about building <a href="https://github.com/deghosal-2026/planner-critic-engine" rel="noopener noreferrer">PlannerCritic</a>, an open-source engine where one LLM writes a plan and a second LLM reviews it. <a href="https://dev.to/debash…

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