ibus-typing-booster is a Linux IBus input method engine that provides intelligent text completion, emoji/Unicode symbol input, and multi-language transliteration to speed up typing. It functions as a daemon (ibus-engine-typing-booster) that intercepts keyboard input and provides candidate suggestions based on hunspell dictionaries, user learning history (SQLite), m17n input methods, and optional AI chat models (Ollama). It includes a GTK-based setup tool for configuration and a standalone emoji picker application. The architecture is a monolithic Python application tightly integrated with the IBus framework via D-Bus and PyGObject. It is event-driven (GLib main loop) and supports both GTK3 and GTK4 through a comprehensive compatibility layer. Key data flows involve querying multiple backends (hunspell, m17n, emoji matcher, user database) on each key event and presenting a unified candidate list to the user. The system learns from user selections and stores contextual bigram/trigram data in a local SQLite database. The codebase exhibits high craftsmanship in several self-contained modules. The GTK3/GTK4 compatibility helpers (g_compat_helpers.py) provide a robust abstraction layer for cross-version GUI development. The m17n transliteration module (m17n_translit.py) is a sophisticated ctypes wrapper around a C library. The emoji matching engine (itb_emoji.py) parses multiple Unicode and CLDR data sources to provide comprehensive emoji search. The user learning database (tabsqlitedb.py) implements a well-designed contextual prediction storage system. Maintenance is active with recent commits and responsive issue tracking. Technical drift is medium; while the project actively manages GTK3/4 compatibility, it retains a legacy Autotools build system alongside pyproject.toml, and some CI infrastructure (Ubuntu 18.04) is outdated. The large number of external dependencies (hunspell, m17n-lib, libvoikko, rapidfuzz) and the fragile ctypes bindings to libm17n represent ongoing maintenance risks.