Kartik Rawat

About

We’re building the most advanced AI security layer for AI coding agents. Apart from startups, I live for new experiences. I’ve been in the startup world for the past four years, working across product, business, growth, marketing, and branding. And yeah, if you have an interesting idea or just want to talk, feel free to reach out at [kartik@harden.run].

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Maker History

  • Harden
    HardenA security layer for AI coding agents
    Sep 2026
  • VizPy
    VizPyTurn prompt failures into executable rules — for AI agents
    Mar 2026
  • 🎉
    Joined Product HuntMarch 5th, 2026

Forums

What are some tasks which are you are still afraid of letting your agents do autonomously?

Agent capabilities are improving incredibly fast, but there s still a big gap between the agent can do this and I m comfortable letting it do this completely unsupervised.

For me, anything involving production infrastructure, credentials, modifying or deleting data, deployments, or actions with external consequences still feels like it needs some kind of oversight.

Curious where others draw the line. What tasks do you still keep a human in the loop for, and what would need to change for you to trust an agent with them autonomously?

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7mo ago

VizPy - Turn prompt failures into executable rules — for AI agents

VizPy automatically optimizes your LLM prompts by learning from failures. With a single API call, it improves prompts and reasoning workflows so your apps, agents, and pipelines deliver more reliable results, without manual prompt tweaking.
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