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Firstly, open Yandex Browser and navigate to the settings menu. Next, go to 'More tools' and then click on 'Extensions.' Once there, scroll down until you find 'Developer tools' and click on 'Details.' Finally, enable the developer tools by turning on the switch next to 'Allow access to file URLs'. Opening Developer Tools Panel.
Dec 11, 2023 · Yandex Tracker is a collaboration tool that makes it easier to manage the development of apps and programs. Tracker provides a wide range of tools for developers: Flexible management of issues: configurable types, statuses and parameters of issues, templates, and the mechanism of issue breakdown and structuring based on links.
- The Project
- Products and Experiments
- “Slowly But Surely”, Or Problems with Build Speed
- Yatagan, Aka Dagger Lite
- API Difference Between Yatagan and Dagger 2
- Our Results
- Who Should Use Yatagan
- How You Should Use Yatagan
- In Conclusion
To fully understand the technical decisions I made while developing Yatagan, we need to start with a brief look at the project it was initially designed for: ~150 Gradle modules, ~2 million LoC in Java/Kotlin, with rich history and quite a bit of legacy code and solutions. What matters for us here — it’s big. And that may make build times a problem...
Our project’s codebase can be used to build multiple apps, each with their own features. It also extensively uses A/B experiments to test hypotheses and evaluate how code changes impact key app metrics. In code we need to process experiment states, so let’s introduce the following structural model: sections of code can be turned on or off depending...
After some time with Dagger + Whetstone, we realized something was wrong with our build performance. Since we were migrating gradually, there was no sudden performance drop. That’s why it took us a while to realize there was even an issue. After numerous complaints about slow builds and a fair share of meetings, I got to work answering the question...
Once I’d gone through every item behind the project’s slow build times, I suggested writing “yet another DI” framework: a new engine for a Dagger-like API designed to support Whetstone’s main functionality for working with runtime conditions. I figured I could address all of the problems Dagger and Whetstone brought. I also decided to try natively ...
The complete API compatibility tablecan be found in the documentation on GitHub. The Yatagan API replicates the Dagger2 API in some places, but there are minor deviations in others. It supports APIs from the following packages: 1. dagger.* 2. dagger.multibindings.* 3. dagger.assisted.* The rest (dagger.android.*, dagger.producers.*, …) are not supp...
For our project, Yatagan accelerated incremental build time by 50–70%in different scenarios when using kapt (Yatagan kapt vs. Dagger kapt). Based on the measurements I took, KSP doesn’t have much to offer on top of kapt in out project performance wise. But it is worth noting, that KSP was broken most of the time for our project due to its bugs with...
If you have a small JVM/Android project using pure Dagger, and build speed is perfectly acceptable, and there’s no need for you to leverage conditional bindings in your DI, and though Yatagan could improve things even further, you may want to save the trouble of migrating to it. Yatagan offers the biggest value in terms of local build speed if: 1. ...
Let’s look at this in terms of Android projects. The reasoning is similar for pure JVM projects, too. You can go with reflection implementation for the app’s debug version if Dagger was the project’s last processor in kapt. In that case, we’ll see a huge improvement in builds without sacrificing start times too much. Reflection is not an option for...
We will continue working on the product, and our plans include rolling out support for Kotlin Multiplatform with a dedicated KSP-only mode. But that’s only if we see interest in Yatagan elsewhere. If you have an interesting suggestion, feel free to create an issue with us on GitHub. We’re always open to feedback.
Yandex Search also features “parallel” search that presents results from both main web index and specialized information resources, including news, shopping, blogs, images and videos on a single page.
Yandex tools for your websites and apps: cloud storage and syncing, APIs for Maps, Market, Direct, and Money, speech and linguistic technologies, and much more.
YaFSDP is a Sharded Data Parallelism framework, designed to work well with transformer-like neural network architectures. You can find more info on YaFSDP internals in our blog posts on Medium and Habr. Advantages over FSDP. YaFSDP is up to 20% faster for pre-training LLMs and performs better in high memory pressure conditions.
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The «Yandex» app is focused on search: the Smart Camera recognizes images, while quick answers save time. Opening Yandex Weather, Yandex Mail, and other Yandex services is also convenient in Yandex app.
