GKGulshan Kumar
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Building a Self-Healing Docker Agent with Ollama

GK
Gulshan Kumar
25 March 2026

Lately I’ve been experimenting with something pretty interesting, and thought it’s worth sharing with folks here 👇


If you don’t have access to paid coding agents or LLM subscriptions, don’t let that stop you. Try running models locally using Ollama, especially something like `qwen3.5:cloud` (and a few others available there). It’s honestly a great way to get hands-on without spending anything.


You can:

  • Build small projects
  • Experiment with agents
  • Learn how LLMs actually behave in real scenarios
  • And most importantly, break things and fix them 😄

  • How to get started (super basic steps):


    1. Install Ollama -> [https://ollama.com](https://ollama.com)

    2. Pull a model -> `ollama run qwen3.5:cloud`

    3. Start experimenting:

    - Ask coding questions

    - Build scripts

    - Try creating small agents


    *(Optional but fun)*

  • Integrate with Python / APIs
  • Connect with your local apps or services

  • Building a Self-Healing Agent


    Recently, I started working on a small side project — a self-healing agent for containers. The idea is simple (still a work in progress):


  • It monitors running services/containers
  • Sends alerts when something goes wrong
  • Tries to resolve basic issues automatically

  • For example, if there’s a memory issue or a service crash / unhealthy state, the agent attempts a basic fix and ensures the service is back up. Not production-ready yet, but it’s been a great learning experience around automation + LLM use cases in DevOps.


    Honestly, tools like Ollama make it super accessible to experiment with ideas like this without worrying about API costs.


    *Have you tried running LLMs locally? Built anything interesting with them? Would love to hear what others are exploring! 🚀*

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