Chaterm

Good question, this is precisely where most "infrastructure AI" tools fail in real-world production environments. Chaterm treats privilege escalation and destructive operations as primary risk areas, not just edge cases. Here's how it actually works: Chaterm performs a full layer of security checks before execution: parsing compound commands, identifying dangerous operations (such as `rm -rf`, cluster-level changes), and classifying them as critical/high/medium/low. High-risk operations require manual confirmation, or even outright rejection. During execution, a step-by-step + configurable approval process is used: low-risk operations are executed automatically, high-risk operations require mandatory confirmation, preventing a single erroneous command from triggering a cascading failure. simultaneously, agent operations have complete logs and execution chains. Essentially: AI handles planning, while humans and policy systems control the execution boundaries.

This is exactly the kind of tool that moves AI from "copilot" to "autonomous operator" in infrastructure. The "Agent Skills" concept is particularly smart — turning tribal knowledge into reusable, safe execution patterns is a massive pain point in platform engineering teams. One thing I'm curious about: how does Chaterm handle privilege escalation and destructive operations? When an AI plans a multi-step workflow across clusters, there's always the risk of a cascading failure if one step goes wrong. Do you have automatic rollback checkpoints between steps, or does the human need to approve each phase? Also, the open-source angle is huge here. Teams with compliance requirements (SOC2, HIPAA) often can't send infra data to closed-source AI tools. Having the source available + self-hostable Pro could be your strongest wedge into enterprise. Looking forward to trying this out. The DH2026 code is a nice touch too — smart launch play.

Hi Dev Hunt 👋 I'm Walter, founder of the open-source project Chaterm, and an SRE with over 10 years of experience at INTSIG PTE, an AWS Advanced Partner. In my previous roles, we managed tens of thousands of servers, dozens of Kubernetes clusters, and hundreds of databases. One key challenge was helping engineers ramp up quickly in such environments. That’s why we built Chaterm — an AI-native terminal for cloud infrastructure management that bridges intent and execution. Instead of memorizing complex CLI flags or digging through documentation, you simply describe your goal in natural language. Chaterm understands your infrastructure topology and autonomously plans and executes workflows—from multi-cluster deployments and anomaly diagnosis to automatic rollbacks. Our core philosophy: ● From Commands to Execution: Let AI handle the heavy lifting of planning and executing complex tasks. ● Reusable Agent Skills: Turn your team’s expertise into safe, reusable skills anyone can run. ● SRE Superpowers for Everyone: Lowering the barrier, giving every developer SRE-level execution. We’re excited to share Chaterm with the DH community and would truly appreciate your feedback. We’ll be here all day answering any questions and discuss ideas. 🎁 Dev Hunt Launch Bonus: Use code DH2026 for a 3-month Pro trial. 👉 Explore Chaterm: https://github.com/chaterm/Chaterm