The latest articles on DEV Community by Davide-btc (@asyscom). https://dev.to/asyscom https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F2056921%2F582dd3e0-9e38-44c0-8eaf-fad1ce14e0fa.jpg https://dev.to/asyscom en Davide-btc Fri, 15 May 2026 08:00:54 +0000 https://dev.to/asyscom/why-most-ai-tools-fail-at-infrastructure-troubleshooting-42kd https://dev.to/asyscom/why-most-ai-tools-fail-at-infrastructure-troubleshooting-42kd <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fw2t3fyjo97lkvebbjlzf.gif" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fw2t3fyjo97lkvebbjlzf.gif" alt="SysAI operational troubleshooting workflow demo" width="600" height="338"></a>One thing that kept frustrating me with most AI tools while doing infra/sysadmin stuff is that they are optimized for “chatting”, not really for operational work.</p> <p>They are often good at explaining concepts, but much weaker when you are actually trying to debug:</p> <ul> <li>broken reverse proxy configs</li> <li>docker stacks failing</li> <li>weird permission problems</li> <li>TLS issues</li> <li>services crashing</li> <li>networking messes</li> </ul> <p>The answers look convincing, but many times they dont really “think” operationally.</p> <p>Usually there is:</p> <ul> <li>no rollback awareness</li> <li>no real verification logic</li> <li>no risk distinction</li> <li>no continuity between troubleshooting steps</li> </ul> <p>And after a couple prompts the context gets lost and you are basically back to generic chatbot mode again.</p> <p>That frustration is basically why I started building SysAI Assistant.</p> <p>The goal was never really “another AI chatbot”. I wanted something closer to an operational workspace:</p> <ul> <li>structured troubleshooting</li> <li>rollback guidance</li> <li>verification-oriented outputs</li> <li>infra focused workflows</li> <li>local-first support</li> <li>support for Gemini, Ollama and OpenAI-compatible APIs</li> </ul> <p>One thing I realized while building it is that operational trust matters way more then flashy AI features.</p> <p>Infra people dont really care if the AI sounds smart.<br> They care about:</p> <ul> <li>if a change is safe</li> <li>if it can be reverted</li> <li>how to verify it</li> <li>what assumptions are being made</li> </ul> <p>I recently released v1.5.0-beta which also added:</p> <ul> <li>automated multi-platform releases</li> <li>Windows installer support</li> <li>AppImage/DEB/RPM builds</li> <li>server-backed licensing/activation</li> </ul> <p>Still trying to figure out the balance between:</p> <ul> <li>open-source operational tooling</li> <li>local-first workflows</li> <li>optional commercial sustainability</li> </ul> <p>But the direction is getting clearer:<br> less “AI chat”<br> and more operational decision-support tooling.</p> <p>*Its still beta and changing pretty fast honestly, but the overall direction is starting to feel much more clear now.</p> <p><a href="https://github.com/shadowbipnode/sysai-assistant" rel="noopener noreferrer">https://github.com/shadowbipnode/sysai-assistant</a></p> ai devops infrastructure llm