[{"data":1,"prerenderedAt":74},["ShallowReactive",2],{"term-r\u002Freflexion":3,"related-r\u002Freflexion":59},{"id":4,"title":5,"acronym":6,"body":7,"category":40,"description":41,"difficulty":42,"extension":43,"letter":44,"meta":45,"navigation":46,"path":47,"related":48,"seo":53,"sitemap":54,"stem":57,"subcategory":6,"__hash__":58},"terms\u002Fterms\u002Fr\u002Freflexion.md","Reflexion",null,{"type":8,"value":9,"toc":33},"minimark",[10,15,19,23,26,30],[11,12,14],"h2",{"id":13},"eli5-the-vibe-check","ELI5 - The Vibe Check",[16,17,18],"p",{},"Reflexion is an agent re-reading its own exam answers before the next attempt and catching its own mistake. It doesn't get its weights updated or go back to school, it just writes itself a note about what went wrong and keeps that note around for the next try. Cheap, weirdly effective, and a little bit humbling to watch an AI do to itself.",[11,20,22],{"id":21},"real-talk","Real Talk",[16,24,25],{},"Reflexion is an agent pattern where the model critiques its own output or trajectory after a failure, generates a natural-language reflection on what went wrong, and feeds that reflection back into its context on the next attempt. It improves task success rates without any weight updates, functioning as a form of in-context learning from the model's own mistakes.",[11,27,29],{"id":28},"when-youll-hear-this","When You'll Hear This",[16,31,32],{},"\"The agent reflected on why the first patch broke the build, then fixed it on attempt two.\" \u002F \"We added a reflexion step and the retry success rate doubled.\"",{"title":34,"searchDepth":35,"depth":35,"links":36},"",2,[37,38,39],{"id":13,"depth":35,"text":14},{"id":21,"depth":35,"text":22},{"id":28,"depth":35,"text":29},"ai","Reflexion is an agent re-reading its own exam answers before the next attempt and catching its own mistake.","advanced","md","r",{},true,"\u002Fterms\u002Fr\u002Freflexion",[49,50,51,52],"Agent Loop","Self-Correcting Agent","LLM-as-Judge","Chain of Thought",{"title":5,"description":41},{"changefreq":55,"priority":56},"weekly",0.7,"terms\u002Fr\u002Freflexion","efmsqx3oyVv7RSwPJ5sPKPfBaeJFtYudyL_r_p2wKW4",[60,64,68,71],{"title":49,"path":61,"acronym":6,"category":40,"difficulty":62,"description":63},"\u002Fterms\u002Fa\u002Fagent-loop","intermediate","The agent loop is the heartbeat of any AI coding agent: think, act, look, repeat.",{"title":52,"path":65,"acronym":66,"category":40,"difficulty":62,"description":67},"\u002Fterms\u002Fc\u002Fchain-of-thought","CoT","Chain of Thought is when you tell the AI 'show your work' like a math teacher.",{"title":51,"path":69,"acronym":6,"category":40,"difficulty":62,"description":70},"\u002Fterms\u002Fl\u002Fllm-as-judge","Instead of paying a human to grade a thousand AI-generated essays, you hire a second AI as the strict teacher who reads the first AI's homework and hands b...",{"title":50,"path":72,"acronym":6,"category":40,"difficulty":42,"description":73},"\u002Fterms\u002Fs\u002Fself-correcting-agent","A self-correcting agent notices its own mistakes and fixes them without being told. It runs tests, sees failures, debugs itself, retries. Sounds magical.",1792528116346]