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Dan Malone used Claude Code with Home Assistant-connected tools to audit years of accumulated smart-home configuration. In his account, the most useful findings were not clever new automations: they were duplicate automation IDs, references to a replaced phone, overlapping integrations, and a sprawling blinds automation. Those are findings from one author’s installation, not a measure of how common the problems are across Home Assistant users.
The practical lesson is to use AI as a second set of eyes on an existing setup, then verify every finding and proposed edit with Home Assistant’s own tools. Claude Code can help analyze files and system information; it is not Home Assistant’s configuration validator.
What Claude Code found in one Home Assistant installation
In his January 2026 case study, Dan Malone describes using Claude Code and MCP tooling to examine a Home Assistant setup he had built over three years. The audit covered more than YAML files: it included automations, entities, integrations, dashboards, logs, and state data. Malone reported these specific issues:
- Duplicate automations: duplicate IDs and repeated copies of presence, dishwasher, and “both away” automations.
- Stale notification references: 31 references to a notification service for a phone that had been replaced.
- Unused or overlapping components: integrations that overlapped, unused HACS components, and disabled mobile-app entities.
- Dashboard inconsistencies: duplicate controls and mismatches between rooms and entities.
- An oversized automation: a kitchen blinds automation that Malone said had grown to 636 lines of YAML.
Malone described the configuration as containing 2,312 lines in automations.yaml. He reported 47 automations and 3,997 entities, including 1,637 disabled entities; in the mobile-app cleanup discussion, he also cited 578 disabled mobile_app entities. These are counts from his own installation, not typical Home Assistant figures.
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What was a finding, and what was a planned cleanup
The figures above describe what Malone said the audit found. His case study separately estimated that the cleanup plan could remove approximately 1,500 lines and 1,000 orphaned entities, with around 16 hours of effort. Those are estimates attached to a plan, not verified completed results.
His takeaway was: “The most valuable AI assistance was not generating new automations – it was analyzing what I already had and finding problems.” He also wrote, “Start with an audit, not new features.” Both statements are Malone’s conclusions from his own project, not official Home Assistant guidance.
Why apparently basic configuration problems are easy to miss
A smart home can keep working while its configuration accumulates confusing or obsolete pieces. A replaced phone may leave notification-service references behind; an automation may be duplicated rather than updated; old integrations can leave entities that are disabled or no longer useful. Seeing a dashboard control or automation work once does not establish that the broader setup is tidy or internally consistent.
YAML also has small rules with meaningful consequences. Home Assistant’s YAML syntax guide explains that indentation determines nesting, tabs cannot be used for indentation, and two spaces per level is the convention. Entity IDs are case-sensitive. Unquoted values such as on and off can be interpreted as booleans by YAML, so quote them when they are intended as text.
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Home Assistant says most configuration can be handled through its interface, although some features and integrations still require configuration.yaml. A file-based setup therefore benefits from review, but not every user needs to edit YAML for routine configuration.
Use AI findings as leads, not proof
Claude Code is described by Anthropic as a terminal tool for writing, reviewing, and shipping code. In Malone’s workflow, additional MCP tools gave it access to Home Assistant information. A broad review can help connect references across files and surface patterns that a quick manual check might miss, but the account does not establish that AI is more accurate or comprehensive than manual auditing in general.
A suggestion can be a false positive, misunderstand intended behavior, or identify a real issue while proposing an unsafe fix. Confirm what an automation does, whether an entity is still used, and what an integration provides before removing or changing anything. Treat any generated edit as a proposal for a human to inspect.
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Be especially cautious when connecting tools to a live installation. Malone says his setup allowed production access, including querying or controlling entities through MCP tools. Access to smart-home controls can affect real devices, so review tool permissions and avoid granting action capability when read-only access is enough for the audit. Anthropic’s separate Claude Code security-review feature addresses common code security concerns; it is not a Home Assistant YAML validator.
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A safer workflow for auditing and changing a configuration
- Preserve a known-good version. Use version history or a Git commit before making edits, so you can inspect exactly what changed and restore the prior state if needed. Malone describes using Git in his workflow; Home Assistant does not require it.
- Inspect before editing. Start by reviewing configuration files and relevant system evidence such as automations, entities, integrations, logs, and dashboards. Ask the AI to identify suspicious duplicates, stale references, or unusually complex sections and explain the evidence for each finding.
- Verify each finding in context. Check whether duplicate-looking automations have different purposes, whether a disabled entity is intentionally retained, and whether a service reference points to a device that is truly gone. Do not delete items solely because a model labels them unused.
- Make small, reviewable changes. Change one coherent set of items at a time, then examine the diff. This makes it easier to identify which edit caused a problem and to roll back selectively.
- Run Home Assistant’s configuration check. In the UI, use the
homeassistant.check_configaction. Only administrators can run it. It reads and validates configuration without loading or applying it; errors are reported in notifications and logs. - Apply and verify separately. A successful configuration check does not prove that an automation behaves correctly in real conditions. Reload the relevant configuration or restart when appropriate, then verify resulting entities and automation behavior.
What Home Assistant’s own validation can—and cannot—tell you
Home Assistant recommends checking configuration after changing configuration or automation files. Checks also occur when configuration is reloaded or Home Assistant restarts. Its configuration documentation lists editing options including File editor, Studio Code Server, and Samba; Studio Code Server offers syntax checking and entity autocomplete.
The troubleshooting guidance calls invalid configuration a common problem and recommends checking logs and running the configuration check for incorrect entries. Configuration files must be UTF-8 encoded. The check can catch configuration errors, but neither editor feedback nor a successful check guarantees that every automation has the intended runtime behavior.
| Method | Useful for | Important limit |
|---|---|---|
| AI-assisted broad audit | Finding patterns or references across a large body of configuration and system information. | Findings and edits need human verification; Malone’s account is a single-user case study. |
| Editor feedback | Syntax checking and, in Studio Code Server, entity autocomplete. | Feedback is not a guarantee that the complete Home Assistant configuration or runtime behavior is correct. |
homeassistant.check_config |
Home Assistant-specific configuration validation without applying the configuration. | It validates configuration; it does not establish that automations behave correctly in every live situation. |
When this kind of audit is worth trying
An AI-assisted review is most useful when a Home Assistant setup has grown over time and you have a concrete cleanup question: why there are several similar automations, whether notifications still target a current device, or which references depend on an integration you plan to remove. It is less useful as permission to rewrite a working system wholesale. Keep the scope narrow, require evidence for each flagged item, and let Home Assistant’s native check—not the AI—handle configuration validation.
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