What does research say about: Self-reflection prompts enable agents to learn from their own failures?

Reflexion improved HumanEval coding benchmark pass@1 from 80.1% to 91.0% by prompting the model to reflect on test failures and retry — without any weight updates. (Source: Shinn et al., 'Reflexion: Language Agents with Verbal Reinforcement Learning', NeurIPS 2023). Reflexion stores verbal 'lessons learned' in a memory buffer, allowing the agent to avoid repeating mistakes across attempts.

Self-reflection prompts enable agents to learn from their…

Context & Methodology

Reflexion stores verbal 'lessons learned' in a memory buffer, allowing the agent to avoid repeating mistakes across attempts.

Applies To

openaianthropicgoogle

Confidence Level

High

Implementation Effort

high

Recommendation

test

Execution Priority

Put This Evidence to Work

Use the STCO framework to implement findings like this in structured, testable prompts.

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