{
  "id": 19408216,
  "title": "I ran Codex inside Home Assistant, and having it next to my smart home changed how I code",
  "url": "https://urgent.news/2026/11/10/i-ran-codex-inside-home-assistant-and-having-it-next-to-my-smart-home",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-11-10T22:00:20.000Z",
  "source": {
    "name": "XDA Developers",
    "slug": "xda-developers",
    "url": "https://www.xda-developers.com/codex-home-assistant-smart-home-changed-how-code/"
  },
  "original_language": "en",
  "account": "I have been utilizing artificial intelligence coding agents for a considerable period, which has greatly facilitated the creation and testing of projects that would otherwise be unattainable. Nevertheless, Home Assistant presented some unique challenges. Managing automations typically necessitates editing YAML files, explaining interconnections between various devices and entities, and alternating between the coding agent and Home Assistant to validate modifications. In recent times, I began employing the Codex computer use feature, enabling it to analyze my Home Assistant setup and undertake certain tasks independently, albeit at the expense of token consumption. A more effective solution emerged last month: an add-on that allows you to run Codex directly within Home Assistant, with access to its configuration files. One aspect of Home Assistant is that even a relatively uncomplicated automation often involves multiple components. For instance, a motion sensor may control a light, a separate presence-based routine may operate simultaneously, and another script might adjust the light's behavior at night. When issues arise or adjustments are required, it becomes essential to consider how all these elements interact. The HA Codex add-on provides a terminal that operates within Home Assistant, with read and write access to its configuration directory. Using Codex, you can scrutinize your existing YAML files, analyze automations and scripts, and comprehend how you have structured the system. For example, if you wish to refine a lighting automation, you can instruct Codex to initially review the pertinent files. Codex can examine triggers, conditions, and actions, identify other scripts that may be involved, and propose modifications based on the existing setup. However, this access does not provide real-time insights into device states or automation histories. Additional contextual information remains necessary. While access to config files could theoretically be achieved by running Codex on another computer, the most straightforward method to deploy Codex within Home Assistant is through the HA Codex add-on, accessible on GitHub. This community-developed project is not included in Home Assistant's default app store; thus, you must manually add its repository. To install it, navigate to Home Assistant, proceed to Settings - Apps - App Store. From there, open the repository management menu and input the following URL: https://github.com/ambient-home-systems/ha-codex. Once added to the repository, HA Codex should appear in the app store. Install it, initiate the add-on, and enable the Show in sidebar option. You can subsequently access Codex directly from Home Assistant's sidebar, similar to any other application. The initial launch requires authentication, which can be accomplished by selecting Log in with a different device, providing a URL and temporary code to sign in with your ChatGPT account upon visiting the link from another device. An account with Codex access is mandatory, although the add-on also accommodates API-key authentication if applicable. You have the option to select the Codex model, adjust its reasoning effort, and enable session persistence, ensuring the terminal remains active when navigating within Home Assistant. I would also advise disabling Skip command approvals, as Codex possesses permissions to modify your configuration files. Furthermore, the add-on offers an optional setting called Allow Home Assistant control actions. Enabling this feature permits Codex to validate your configuration and request supported reload actions, proving beneficial when testing changes without requiring manual system restarts. One noteworthy approach to employ Codex is improving an existing automation. For example, consider presence-based routines that regulate your lights based on your presence and the time of day. You can request Codex to examine the existing logic, identify conflicting conditions, and propose adjustments. Codex can also present the modifications it intends to make before your approval. Should an automation malfunction following a change, Codex can inspect the YAML, identify syntax errors, and review other involved scripts or configuration files. However, it's crucial to note that Codex cannot diagnose issues from the files alone. If a motion sensor fails to report accurately or an automation does not trigger, you must still consult Home Assistant's traces and device histories to resolve the problem. The add-on's utility is particularly evident when enabling Home Assistant control actions. After implementing a change, Codex can perform a configuration check and reload supported components, including automations and scripts, enabling you to test the updated automation within Home Assistant without a complete system restart. It's essential to maintain oversight, as even minor errors could disrupt other routines. An important limitation to consider is that the add-on necessitates Home Assistant OS. If you operate Home Assistant in Docker, installation is not feasible directly; instead, you must run Home Assistant OS, potentially in a virtual machine. This requirement is unnecessary if you are already utilizing Home Assistant OS on dedicated hardware.",
  "summary": "Codex can now work directly with my Home Assistant configuration.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}