Context Engineering
Проектирование контекста для LLM: как собрать идеальный контекст из system prompt, RAG, памяти, примеров и результатов инструментов.
Context Compression
Context Compression в 2026: compaction, semantic deduplication, selective inclusion и query-aware compression для LLM-приложений.
Context Engineering в продакшене
Production Context Engineering в 2026: versioned context configs, trace-first debugging, eval gates, observability, rollout и rollback.
Context Engineering для агентов
Context Engineering для агентов в 2026: step state, tool result compaction, MCP resources/tools, route-aware assembly и long-run pruning.
Context Window Budgeting
Context Window Budgeting в 2026: budget lanes, output reserve, token counting, truncation и compaction для LLM-приложений.
Memory Management для LLM
Memory Management в 2026: working state, short-term state, durable memory, episodic memory, memory writes и retrieval boundaries.
Multi-turn Context Strategies
Multi-turn Context Strategies в 2026: sliding window, compaction, semantic recall, hybrid state и route-aware conversation handling.
Компоненты контекста
Компоненты Context Engineering в 2026: instructions, retrieval, conversation state, durable memory, tool results и output constraints.
Паттерны Context Engineering
Паттерны Context Engineering в 2026: dynamic assembly, budget lanes, priority truncation, compaction, cacheable prefixes и observability.
Что такое Context Engineering
Context Engineering в 2026 — это проектирование всего model input: instructions, retrieval, conversation state, memory, tools, schemas и budget.