Show HN: Kelet – Root Cause Analysis agent for your LLM apps

A new tool called Kelet just jumped on stage claiming it will spot your AI app’s worst mistakes and hand you the fix — free at launch — turning every error into a lesson. The crowd’s reaction? A mix of raised eyebrows and tired chuckles. One dev flat-out asked if a “very generic tool” can even work here, pressing for what frameworks and assumptions it supports, while another wanted the receipts on how this differs from existing tracking tools like LangChain and Braintrust. In other words: is this actually new, or just another dashboard with a glow-up?

The drama centers on Kelet’s “Prompt Patches,” those ready-made fix suggestions. Skeptics pounced: if it patches prompts, what about deeper issues like bad tool choices or messy search results? That clash fueled the thread — believers love the auto-fix fantasy, pragmatists want proof it goes beyond the prompt. Meanwhile, a linguistic detour over the name (“Kelet” as in Hebrew for “input”?) added color, and a weary commenter replying to “The key insight” with “I’m so tired” became the mood meme of the day. TL;DR: bold promise, spicy questions, and a community toggling between hope and hype-fatigue. Kelet’s pitch is slick — now devs want specifics or it’s just vibes.