My 4 favorite Android Auto settings are seriously useful – but hidden by default


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ZDNET’s key takeaways

  • You can customize your Android Auto through developer mode.
  • This mode is usually for developers and app creators.
  • It’s easy to access, and you can make significant improvements.

For most users, Android Auto is simply an easy way to handle navigation, music, and messages while driving. But if you’re willing to tinker a bit, you’ll find several settings that can completely change the look and functionality of your car’s infotainment system. 

Just like your Android phone, Android Auto has its own developer mode that lets you access settings not intended for everyday users. And like your phone’s version, you can actually make some significant improvements. It’s not difficult to access, and it only takes a minute. 

Also: I’ve used Android Auto for years, and these 5 changes solved my biggest issues

Here’s how to dive in. 

The Android Auto app doesn’t appear among your regular apps, so you’ll need to go through your settings to find it. 

  • From Settings, search for Android Auto. 
  • Tap it, then select “Additional settings in the app.” 
  • Scroll down until you see Version, then tap it 10 times. 
  • Choose OK. 

Once you have that enabled, here are some of the biggest changes you can make.

The best Android Auto developer setting changes

1. Force Day/Night Mode

This is my favorite developer setting, and the one most drivers could use immediately. By default, Android Auto automatically switches between day and night mode. Depending on your car, this might be triggered by the time of day, ambient lighting, or your headlights.

Also: Android phone slow? I changed 2 developer settings for an instant speed boost

With this setting, you can permanently set it to day or night, or use “Phone controlled,” which follows your phone’s system settings (like scheduled dark mode, sunrise-to-sunset theme, or always-on dark mode). If you’ve ever been frustrated when your Android Auto map switches to dark mode on a cloudy day or changes back and forth as you enter a tunnel, if you find dark mode hard to see or day mode too bright, or if you simply prefer one over the other, this is an easy way to have consistency.

You can change this option for Maps in the traditional settings, but in developer settings, you can tweak it for the whole interface.

2. Video resolution

This is especially useful if you have a large display in your car. Usually, Android Auto negotiates with your car to find a resolution that’s acceptable while saving bandwidth. This means it’s not always running at its highest possible resolution. 

Also: Google will let you watch YouTube videos on Android Auto now – is your car supported?

The options you have will depend on your phone, but you can click through each one to see how it looks. If you go too high, especially on an older car, the screen may look worse or go completely black, but you can easily switch back.

Once you choose your new resolution, you’ll likely notice an immediate upgrade in sharpness on everything from your icons to your background art to your maps. 

3. Wireless Android Auto

If you only use Android Auto occasionally, you might want to check this one out. By default, once you have Android Auto set up, it connects automatically whenever you start your car (if your car supports wireless connectivity). That’s convenient, but it drains your phone’s battery even if you’re not using Android Auto.

When you uncheck the Wireless Android Auto box, you’ll only connect when you plug in the cable. If the only time you use Android Auto is for navigation on a long road trip, you’d be better off saving your phone’s battery by not having it connect all the time.

4. Unknown sources

The Android Auto equivalent of sideloading, selecting the “Unknown sources” feature lets you install apps that aren’t officially sanctioned by Google. 

Also: This fundamental Android feature is ‘absolutely not’ going away, says Google – but it is changing

Usually, your Android Auto apps are limited to mainstream options. But by using unknown apps, you can install niche media players that let you play local content or even play YouTube videos (official support is on the way, by the way), apps that mirror your entire phone, apps that monitor your car’s diagnostics, including OBD-II data and engine metrics, and improved smart home control apps. 

For example, I’ve had success using AA Browser as a web browser, CarTube and CarStream to watch YouTube videos on my car’s screen, Fermata Auto to play locally stored videos, and Widgets for Auto to install custom Android phone widgets like weather, a calendar, and smart home toggles.





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Recent Reviews



Researchers at the University of Washington have developed a new prototype system that could change how people interact with artificial intelligence in daily life. Called VueBuds, the system integrates tiny cameras into standard wireless earbuds, allowing users to ask an AI model questions about the world around them in near real time.

The concept is simple but powerful. A user can look at an object, such as a food package in a foreign language, and ask the AI to translate it. Within about a second, the system responds with an answer through the earbuds, creating a seamless, hands-free interaction.

A Different Approach To AI Wearables

Unlike smart glasses, which have struggled with adoption due to privacy concerns and design limitations, VueBuds takes a more subtle approach. The system uses low-resolution, black-and-white cameras embedded in earbuds to capture still images rather than continuous video.

These images are transmitted via Bluetooth to a connected device, where a small AI model processes them locally. This on-device processing ensures that data does not need to be sent to the cloud, addressing one of the biggest concerns around wearable cameras.

To further enhance privacy, the earbuds include a visible indicator light when recording and allow users to delete captured images instantly.

Engineering Around Power And Performance Limits

One of the biggest challenges the research team faced was power consumption. Cameras require significantly more energy than microphones, making it impractical to use high-resolution sensors like those found in smart glasses.

To solve this, the team used a camera roughly the size of a grain of rice, capturing low-resolution grayscale images. This approach reduces battery usage and allows efficient Bluetooth transmission without compromising responsiveness.

Placement was another key consideration. By angling the cameras slightly outward, the system achieves a field of view between 98 and 108 degrees. While there is a small blind spot for objects held extremely close, researchers found this does not affect typical usage.

The system also combines images from both earbuds into a single frame, improving processing speed. This allows VueBuds to respond in about one second, compared to two seconds when handling images separately.

Performance Compared To Smart Glasses

In testing, 74 participants compared VueBuds with smart glasses such as Meta’s Ray-Ban models. Despite using lower-resolution images and local processing, VueBuds performed similarly overall.

The report showed participants preferred VueBuds for translation tasks, while smart glasses performed better at counting objects. In separate trials, VueBuds achieved accuracy rates of around 83–84% for translation and object identification, and up to 93% for identifying book titles and authors.

Why This Matters And What Comes Next

The research highlights a potential shift in how AI-powered wearables are designed. By embedding visual intelligence into a device people already use, the system avoids many of the barriers faced by smart glasses.

However, limitations remain. The current system cannot interpret color, and its capabilities are still in early stages. The team plans to explore adding color sensors and developing specialised AI models for tasks like translation and accessibility support.

The researchers will present their findings at the Association for Computing Machinery Conference on Human Factors in Computing Systems in Barcelona, offering a glimpse into a future where everyday devices quietly become intelligent assistants.



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