Official Baidu App Tech Account
This article explains the technical design of an ambient mode that fills video black bars with dynamically extracted dominant colors, covering video frame sampling, median‑cut color quantization, Android and iOS rendering pipelines, gradient animations, and performance optimizations.
This article explains the engineering implementation of mobile video post‑processing, covering brightness and color enhancement algorithms, GPU/OpenGL shader pipelines, technical choices such as linear gain, histogram equalization, gamma correction, HSV‑based saturation, and skin‑tone protection, with performance considerations and future directions.
This article explains the architecture, key techniques, and implementation details of audio post‑processing in a media player, covering bass‑enhancement and voice‑clarity filters, frequency‑range design, device constraints, FFmpeg filter chains, and sample code for a high‑performance, low‑latency solution.
The article offers a comprehensive guide to iOS disk management for app developers, explaining the sandbox’s Documents, Library (Caches and Application Support) and tmp directories, proper storage practices, APIs for directory access, disk‑size calculation, iCloud backup exclusion, and both automatic and manual cleanup strategies including system cache handling.
This article details the design, implementation, and evaluation of an AI‑powered tool that automatically creates compliant Git commit messages by leveraging large language models, custom plugins, and performance‑focused optimizations to improve developer productivity and commit quality.
This article details Baidu APP’s iOS package‑size optimization series, focusing on compiler tweaks (GCC, Swift, LTO, symbol stripping, dead‑code removal, asset catalog settings, C++ virtual‑function reduction, third‑party SDK slimming), instruction‑set pruning, Xcode‑14 improvements, and Swift dynamic‑library handling, together with concrete Xcode configuration steps and measured size gains.
To accurately trim iOS app binaries, the article discards low‑precision Mach‑O/LinkMap methods and instead builds a custom compilation pipeline using libtooling and the Swift compiler to analyze full abstract syntax trees, enabling reliable detection of unused methods across complex language features and inheritance hierarchies.
The article details Baidu’s iOS bundle‑size reduction strategy by converting PNG/JPG assets to HEIC using macOS tools or ImageMagick, storing them in Asset Catalogs for iOS 10+ compatibility, handling alpha‑channel quirks, and employing combined static‑link‑map and runtime class‑initialization analysis to safely prune unused Objective‑C classes.
The article explains how Baidu App reduces its iOS package size by analyzing Link Map files and applying six code‑optimization techniques—unused class and module slimming, unused method pruning with LLVM, duplicate‑code detection, utility‑method consolidation, and A/B‑test hardening—yielding up to 8 MB of savings.
Baidu dramatically accelerated its Android app’s launch by dissecting the cold‑start sequence, applying full‑path analysis, leveraging tracing tools, introducing a priority‑aware task‑scheduling framework, replacing SharedPreferences with the binary UniKV store, eliminating lock contention, and tightening thread, I/O, and library loading, which together cut ANR rates and boosted user retention.
