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    <title>DEV Community: Nishant Manjhi</title>
    <description>The latest articles on DEV Community by Nishant Manjhi (@nishant_manjhi_ebf090fa42).</description>
    <link>https://dev.to/nishant_manjhi_ebf090fa42</link>
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      <title>DEV Community: Nishant Manjhi</title>
      <link>https://dev.to/nishant_manjhi_ebf090fa42</link>
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      <title>Overcoming Friction of Running OpenClaw Continuously</title>
      <dc:creator>Nishant Manjhi</dc:creator>
      <pubDate>Wed, 01 Apr 2026 10:53:20 +0000</pubDate>
      <link>https://dev.to/nishant_manjhi_ebf090fa42/overcoming-friction-of-running-openclaw-continuously-3pa4</link>
      <guid>https://dev.to/nishant_manjhi_ebf090fa42/overcoming-friction-of-running-openclaw-continuously-3pa4</guid>
      <description>&lt;p&gt;OpenClaw is (relatively) easy to run at the start. You can spin it up locally, test a few things, and it behaves exactly how you expect.&lt;/p&gt;

&lt;p&gt;Keeping it running is where things slow down. You move from “just run it” to dealing with a server, installing dependencies, setting up access, and making sure nothing is exposed by accident. It’s not complicated work, just enough steps to pull you away from actually using the tool.&lt;/p&gt;

&lt;p&gt;A lot of tools has sprung up focusing on that part. Instead of going through setup manually, you go through a small deployment flow and the rest is handled in the background.&lt;/p&gt;

&lt;p&gt;From Setup Work to a Simple Flow&lt;/p&gt;

&lt;p&gt;Normally, getting OpenClaw running on a server means working through a checklist. You provision a machine, install what’s needed, wire up access, and double-check that everything is configured properly.&lt;/p&gt;

&lt;p&gt;Here, that gets compressed into a short flow:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;choose a model&lt;/li&gt;
&lt;li&gt;paste a Telegram token&lt;/li&gt;
&lt;li&gt;deploy&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Those backend steps still exist. You just don’t deal with them directly. The result feels less like setup and more like starting something up.&lt;/p&gt;

&lt;p&gt;Infrastructure Handled Quietly in the Background&lt;/p&gt;

&lt;p&gt;Each deployment runs on Fluence Virtual Servers. That gives tools like Clawify a way to create environments the same way every time instead of relying on manual setup.&lt;/p&gt;

&lt;p&gt;From the outside, this mostly shows up as consistency. Instances behave similarly, and there’s no need to manage a server yourself. The infrastructure is still there, just not something you interact with.&lt;/p&gt;

&lt;p&gt;What This Looks Like in Use&lt;/p&gt;

&lt;p&gt;The difference is mostly in how you move from idea to a running agent.&lt;/p&gt;

&lt;p&gt;There’s no separate “infrastructure step” to think about. You deploy, and the agent is available. That removes a chunk of work that would normally sit in the middle, especially for people who don’t want to spend time on server setup.&lt;/p&gt;

&lt;p&gt;Closing Note&lt;/p&gt;

&lt;p&gt;This is the short version. The full case study goes into the deployment flow, security handling, and how the infrastructure is wired together can be found here - &lt;a href="https://www.fluence.network/blog/clawify-case-study-openclaw-deployment/" rel="noopener noreferrer"&gt;https://www.fluence.network/blog/clawify-case-study-openclaw-deployment/&lt;/a&gt;&lt;/p&gt;

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      <category>webdev</category>
      <category>ai</category>
      <category>opensource</category>
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