Lenovo-owned Motorola Mobility has now officially released the kernel source code for its Moto G6 Play edition. While that's not necessarily big news for every Android user, it does mean good things should be on the way for the more tech-savvy power users. Obviously, that's because the release of an official kernel means that developers can get a closer look at the device's underlying code and, subsequently, create custom ROMs based on that kernel. Although it's technically possible to generate custom ROMs and other similar firmware and software without the device-specific source code, it's arguably easier to create more stable iterations with access to it. For those interested in checking it out for themselves, it can be accessed at GitHub via the button or source link below. From there, it can be downloaded in either a .zip or .tar file format.
As to the device itself, this is the same Moto G6 Play edition device that was just recently announced in mid-April. The handset is already available in Brazil and Mexico and is expected to hit the United States, Canada, Europe, Asia Pacific, and other parts of Latin America over the next several months. The Moto G6 Play is a mid-range Android Oreo device with a 5.7-inch display and a price tag at around $200. The display is set at 1440 x 720 HD+ resolution and has an aspect ratio of 18:9. There are two variants available in terms of RAM and storage. One of those ships with 2GB of RAM and 16GB of storage while the other ships with 3GB of RAM and 32GB of storage. Regardless of which of those is bought, consumers will find a quad-core Snapdragon 427 chipset clocked at 1.4GHz on the inside. That's powered along by a slightly better than average 4,000mAh capacity battery chargeable via micro USB.
Those aren't the best specs in the world or even for Motorola devices but do represent a reasonably good value for the cost. That should only improve now that the official source code is available. Best of all, users may be able to get quite a bit more for their money since custom ROMs generally tend to step performance and functionality up a notch.