**PDCA 방법론 + AI-native 개발을 위한 Context 기술설계 **

bkit-codex는 OpenAI Codex CLI 확장으로 AI로 소프트웨어를 구축하는 방법을 변환합니다. 그것은 PDCA (Plan-Do-Check-Act) 방법론 및 Context Engineering 아키텍처를 통해 구조 개발 워크플로우, 자동 문서 및 지능형 코드 지원을 제공합니다.

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Context Engineering이란 무엇입니까?

Context Engineering는 최적의 LLM inference를 위한 컨텍스트 토큰의 체계적인 포화입니다. - AI 행동을 지속적으로 인도하는 전체 시스템을 구축하기 위한 간단한 프롬프트 제작을 넘어갑니다.

bkit은 Context Engineering의 실제 구현으로 여러 AI 코딩 플랫폼에서 체계적인 컨텍스트 관리 시스템을 제공합니다.

bkit-codex의 컨텍스트 엔지니어링 아키텍처

bkit-codex는 Context Engineering을 3개의 인터커넥트 레이어를 통해 구현합니다.

bkit-codex - Vibecoding Kit (OpenAI Codex Edition)

PDCA methodology + Context Engineering for AI-native development

bkit-codex is an OpenAI Codex CLI extension that transforms how you build software with AI. It provides structured development workflows, automatic documentation, and intelligent code assistance through the PDCA (Plan-Do-Check-Act) methodology and Context Engineering architecture.

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What is Context Engineering?

Context Engineering is the systematic curation of context tokens for optimal LLM inference – going beyond simple prompt crafting to build entire systems that consistently guide AI behavior.

Traditional Prompt Engineering:
  "The art of writing good prompts"

Context Engineering:
  "The art of designing systems that integrate prompts, tools, and state
   to provide LLMs with optimal context for inference"

bkit is a practical implementation of Context Engineering, providing a systematic context management system across multiple AI coding platforms.

bkit-codex’s Context Engineering Architecture

bkit-codex implements Context Engineering through three interconnected layers:

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Architecture

3-Tier Context Strategy

+------------------------------------------------------------------+
|                    Tier 1: AGENTS.md                              |
|                    (Always Loaded)                                |
|                                                                  |
|  Global AGENTS.md (~3.8 KB)    Project AGENTS.md (~2.0 KB)      |
|  - Session initialization      - Level-specific guidance         |
|  - 3 Core Principles           - Key skills reference            |
|  - PDCA workflow rules          - Response format rules           |
|  - MCP tools reference          - PDCA status location            |
|  - Code quality standards                                        |
|                                                                  |
|  Total: ~5.8 KB / 32 KB limit (18% used, 82% available)         |