Khwand AI

AI code assurance: tests, drift checks, self-healing

12 followers

AI code assurance: tests, drift checks, self-healing

12 followers

Ship AI apps faster without breaking production. Khwand automatically tests prompts, benchmarks model behavior, catches regressions, and patches failures before users see them. Built for LLM apps, agents, and vibe-coded software.

This is the 3rd launch from Khwand AI. View more

Khwand

Launching today

Test, harden, and monitor AI agents

Khwand helps teams test, harden, and monitor AI agents before they break in production. Catch regressions, prompt drift, tool failures, and reliability issues with automated evaluations built for agentic systems.

Free

Launch tags:Productivity•Developer Tools•Artificial Intelligence

Launch Team

SerpApi for AI Apps and Agents100+ search APIs for LLMs, AI apps, agents, and developers

Promoted

Khwand AI

Maker

📌

Hey Product Hunt 👋 Khwand started from a frustration we kept seeing everywhere in AI development: teams can build AI products incredibly fast — but keeping them reliable in production is still painfully hard. You can vibe-code a feature in an afternoon, ship an agent workflow, or wire up a powerful LLM app quickly. But the moment prompts drift, models update, edge cases appear, or user behavior changes, things quietly break. Traditional CI/CD wasn’t designed for software where the logic itself is probabilistic. We built Khwand because we wanted an answer to a simple question: **How do you ship AI-native software with confidence?** At first, we thought the solution was “better testing.” But while building, our thinking evolved. We realized static tests weren’t enough for systems powered by LLMs. AI apps need something closer to an autonomous quality layer — one that stress-tests changes, catches regressions, benchmarks model behavior, and fixes failures *before* users experience them. That shift completely changed our approach and became the foundation of Khwand. Today, Khwand acts like a self-healing CI/CD layer for AI-native software — helping teams test, validate, and stabilize LLM-powered apps and agentic workflows without relying on guesswork. This launch is exciting because we know we’re not the only ones wrestling with brittle AI systems and unpredictable behavior. If you’re building with LLMs, agents, or vibe-coded products, we’d genuinely love to hear: **what’s been your biggest reliability headache so far?** 👀

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11d ago

Previous Khwand AI Launches

Khwand AI - v2Education that adapts to you — not the other way around.

Launched on March 12th, 2026

Khwand AIAI personal learning coach and tutor that adapts to you

Launched on December 23rd, 2025

Forum Threads

p/khwand-ai

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11d ago

Founder Message

Hey Product Hunt

I m Fahad first-year AI & Data Science student at UCLan and founder of Khwand.

Khwand started from a frustration I kept seeing while building with AI: shipping an LLM app or agent is easier than ever, but keeping it reliable in production is still incredibly hard.

You can build something that works today, only to have a model update, prompt drift, or edge case quietly break behavior tomorrow. And unlike traditional software, the failures are semantic things don t always crash, they just start behaving differently. Usually, you only find out when users complain.

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