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bkit Vibecoding Kit for OpenAI Codex - PDCA + Context Engineering for AI-native development

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bkit-codex - Vibecoding Kit (OpenAI Codex Edition)

License Codex CLI Version Author

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.


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:

Layer Components Count Purpose
Domain Knowledge Skills 26 Structured expert knowledge activated on-demand via progressive disclosure
Behavioral Rules AGENTS.md 2 files Global + Project rules with MUST/ALWAYS/NEVER enforcement
State Management MCP Tools + Lib Modules 16 + 75 fn PDCA status tracking, intent detection, template management, memory persistence

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)         |
+------------------------------------------------------------------+
                              |
                              v
+------------------------------------------------------------------+
|                    Tier 2: SKILL.md                               |
|                    (On-Demand Loading)                            |
|                                                                  |
|  Phase 1: name + description only (metadata scan)                |
|  Phase 2: Full SKILL.md body (when skill is activated)           |
|  Progressive Disclosure minimizes context usage                  |
+------------------------------------------------------------------+
                              |
                              v
+------------------------------------------------------------------+
|                    Tier 3: references/                            |
|                    (Deep Dive on Request)                         |
|                                                                  |
|  ~30 reference files (templates, patterns, checklists)           |
|  Loaded only when AI explicitly requests a reference file        |
+------------------------------------------------------------------+

Architecture Paradigm Shift

bkit-claude-code (Hook-Driven, 100% Auto)
  Hook Event --> Script (stdin/stdout) --> decision: allow/block
  = System controls the AI

bkit-codex (Instruction-Driven, ~70% Auto)
  AGENTS.md Rule --> AI reads --> AI calls MCP Tool --> MCP returns guidance
  = AI voluntarily follows rules

Component Map

bkit-codex/
|-- .agents/skills/          # 26 Codex Agent Skills
|   |-- bkit-rules/          # Core rules reference
|   |-- pdca/                # PDCA workflow management
|   |-- bkit-templates/      # Template selection
|   |-- starter/             # Beginner guidance
|   |-- dynamic/             # Fullstack guidance
|   |-- enterprise/          # Enterprise guidance
|   |-- development-pipeline/# 9-phase overview
|   |-- phase-1-schema/ ... phase-9-deployment/
|   |-- code-review/         # Code quality analysis
|   |-- zero-script-qa/      # Log-based testing
|   |-- mobile-app/          # React Native, Flutter, Expo
|   |-- desktop-app/         # Electron, Tauri
|   |-- codex-learning/      # Codex CLI guide
|   +-- bkend-*/             # bkend.ai ecosystem (5 skills)
|
|-- packages/mcp-server/     # MCP Server (zero external dependencies)
|   |-- index.js             # STDIO transport (JSON-RPC 2.0)
|   |-- src/server.js        # Request dispatcher
|   |-- src/tools/           # 16 MCP tool implementations
|   +-- src/lib/             # Core library (~75 functions)
|       |-- core/            # config, cache, file, path
|       |-- pdca/            # status, level, phase, automation, template
|       |-- intent/          # language, trigger, ambiguity
|       +-- task/            # classification, creator
|
|-- AGENTS.md                # Project AGENTS.md (sample)
|-- agents.global.md         # Global AGENTS.md (install to ~/.codex/)
|-- bkit.config.json         # Centralized configuration
|-- install.sh               # Unix/Mac installer
|-- install.ps1              # Windows installer
|-- docs/                    # Documentation
+-- .github/workflows/       # CI/CD (npm publish)

Features

  • PDCA Methodology -- Structured development with automatic documentation and phase enforcement
  • 16 MCP Tools -- Session management, intent detection, PDCA workflow, template generation, memory persistence
  • 26 Agent Skills -- Domain-specific knowledge with progressive disclosure to save context tokens
  • 9-Stage Development Pipeline -- From schema design to deployment
  • 3 Project Levels -- Starter (static), Dynamic (fullstack), Enterprise (microservices)
  • 8-Language Support -- EN, KO, JA, ZH, ES, FR, DE, IT with auto-detection
  • Zero Dependencies -- MCP server built with pure Node.js (no node_modules)
  • Level-Specific Templates -- Enterprise design template with 11 sections (security, observability, cost analysis)
  • Ambiguity Detection -- Scores user prompts 0-100 and generates clarifying questions when needed
  • Session Memory -- Persistent context across sessions via docs/.bkit-memory.json
  • Evaluator-Optimizer Pattern -- Automatic gap analysis and fix cycles (max 5 iterations, 90% threshold)
  • Cross-Platform Install -- One-line installation for Unix/Mac and Windows

Quick Start

Note: bkit-codex is designed for OpenAI Codex CLI. For Claude Code, see bkit-claude-code. For Gemini CLI, see bkit-gemini.

Prerequisites

Installation

Unix / macOS (Recommended)

curl -fsSL https://raw.githubusercontent.com/popup-studio-ai/bkit-codex/main/install.sh | bash

Windows (PowerShell)

irm https://raw.githubusercontent.com/popup-studio-ai/bkit-codex/main/install.ps1 | iex

Manual Installation

# 1. Clone into project
git clone --depth 1 https://github.com/popup-studio-ai/bkit-codex.git .bkit-codex

# 2. Link skills
mkdir -p .agents/skills
for skill in .bkit-codex/.agents/skills/*/; do
  ln -sf "../../.bkit-codex/.agents/skills/$(basename $skill)" ".agents/skills/$(basename $skill)"
done

# 3. Copy AGENTS.md
cp .bkit-codex/AGENTS.md ./AGENTS.md

# 4. Configure MCP server
mkdir -p .codex
cat > .codex/config.toml << 'EOF'
[mcp_servers.bkit]
command = "node"
args = ["./.bkit-codex/packages/mcp-server/index.js"]
startup_timeout_sec = 10
tool_timeout_sec = 30
required = true
EOF

# 5. Create PDCA directories
mkdir -p docs/01-plan/features docs/02-design/features docs/03-analysis docs/04-report

Verify Installation

# Check skills are linked
ls .agents/skills/

# Check MCP config
cat .codex/config.toml

# Start Codex and invoke bkit
$pdca status

Usage

PDCA Workflow

$pdca plan <feature>     # Create plan document
$pdca design <feature>   # Create design document
$pdca do <feature>       # Implementation guide
$pdca analyze <feature>  # Run gap analysis
$pdca iterate <feature>  # Auto-fix with Evaluator-Optimizer pattern
$pdca report <feature>   # Generate completion report
$pdca status             # Check current PDCA status
$pdca next               # Guide to next PDCA step

Project Initialization

$starter      # Static website (Starter level)
$dynamic      # Fullstack with BaaS (Dynamic level)
$enterprise   # Microservices with K8s (Enterprise level)

Development Pipeline

$development-pipeline    # 9-phase pipeline overview
$phase-1-schema          # Schema & terminology definition
$phase-2-convention      # Coding conventions
$phase-3-mockup          # UI/UX mockups
$phase-4-api             # API design
$phase-5-design-system   # Design system
$phase-6-ui-integration  # UI integration
$phase-7-seo-security    # SEO & security
$phase-8-review          # Code review
$phase-9-deployment      # Deployment

Quality & Learning

$code-review             # Code quality analysis
$zero-script-qa          # Log-based testing (Zero Script QA)
$codex-learning          # Codex CLI configuration guide

PDCA Workflow

The core development cycle that bkit enforces:

Plan ──> Design ──> Do ──> Check ──> Act ──> Report
  │                          │         │
  │    (design required)     │    (if < 90%)
  │                          │         │
  X──── skip to Do ────X     +─────────+
                              iteration loop
                              (max 5 cycles)
Phase Action Deliverable
Plan Define goals, scope, success criteria docs/01-plan/features/{feature}.plan.md
Design Architecture, data model, API spec docs/02-design/features/{feature}.design.md
Do Implementation with pre/post-write checks Source code matching design
Check Gap analysis (design vs. implementation) docs/03-analysis/{feature}.analysis.md
Act Auto-fix gaps until match rate >= 90% Updated source code
Report Completion report with metrics docs/04-report/{feature}.report.md

Key Rules

  • Design is mandatory: You cannot skip from Plan directly to Do
  • Pre-write check: MCP tool validates design document existence before code changes
  • Post-write guidance: MCP tool suggests gap analysis after significant changes (50+ lines)
  • Iteration loop: Check and Act repeat until match rate reaches 90% (max 5 iterations)

Project Levels

Automatic detection based on project directory structure:

Level Description Stack Auto-Detection Pipeline Phases
Starter Static websites, portfolios HTML, CSS, JS Default (no special files) 1 → 2 → 3 → 6 → 9
Dynamic Fullstack applications Next.js, BaaS docker-compose.yml, .mcp.json, api/ 1 → 2 → 3 → 4 → 5 → 6 → 7 → 9
Enterprise Microservices architecture K8s, Terraform, MSA kubernetes/, terraform/ directories All 9 phases

MCP Tools (16)

The MCP server provides 16 tools via JSON-RPC 2.0 over STDIO with zero external dependencies:

Tool Category Purpose
bkit_init Session Initialize session, detect level, load PDCA status
bkit_analyze_prompt Intent Detect language, match triggers, score ambiguity (8 languages)
bkit_get_status PDCA Retrieve current PDCA status with recommendations
bkit_pre_write_check PDCA Pre-write compliance check (design document existence)
bkit_post_write PDCA Post-write guidance (gap analysis suggestions)
bkit_complete_phase PDCA Mark phase complete, validate transition, advance to next
bkit_pdca_plan Template Generate plan document template with level-specific sections
bkit_pdca_design Template Generate design template (Starter/Dynamic/Enterprise variants)
bkit_pdca_analyze Template Generate gap analysis template
bkit_pdca_next PDCA Recommend next PDCA action based on current state
bkit_classify_task Utility Classify task size (quick_fix / minor_change / feature / major_feature)
bkit_detect_level Utility Detect project level from directory structure
bkit_select_template Utility Select template by phase and level
bkit_check_deliverables Utility Verify phase deliverables exist
bkit_memory_read Memory Read session memory
bkit_memory_write Memory Write session memory

Skills (26)

Skill Category Trigger Examples
pdca Core $pdca plan, $pdca design, $pdca analyze
bkit-rules Core Core rules (auto-applied via AGENTS.md)
bkit-templates Core "plan template", "design template"
starter Level "static site", "portfolio", "beginner"
dynamic Level "login", "fullstack", "authentication"
enterprise Level "microservices", "k8s", "terraform"
development-pipeline Pipeline "where to start", "development order"
phase-1-schema Pipeline "schema", "data model", "terminology"
phase-2-convention Pipeline "coding rules", "conventions"
phase-3-mockup Pipeline "mockup", "wireframe", "prototype"
phase-4-api Pipeline "API design", "REST endpoints"
phase-5-design-system Pipeline "design system", "component library"
phase-6-ui-integration Pipeline "frontend integration", "API client"
phase-7-seo-security Pipeline "SEO", "security hardening"
phase-8-review Pipeline "architecture review", "gap analysis"
phase-9-deployment Pipeline "CI/CD", "production deployment"
code-review Quality "review code", "check quality"
zero-script-qa Quality "test logs", "QA without scripts"
mobile-app Platform "React Native", "Flutter", "iOS app"
desktop-app Platform "Electron", "Tauri", "desktop app"
codex-learning Learning "learn Codex", "Codex CLI setup"
bkend-quickstart bkend.ai "bkend setup", "first project"
bkend-data bkend.ai "table", "CRUD", "schema", "filter"
bkend-auth bkend.ai "signup", "login", "JWT", "session"
bkend-storage bkend.ai "file upload", "presigned URL", "CDN"
bkend-cookbook bkend.ai "tutorial", "example project", "todo app"

Skills use progressive disclosure -- only metadata is loaded initially, with full instructions injected when activated.


Language Support

bkit automatically detects your language from trigger keywords in 8 languages:

Language Trigger Keywords
English static website, beginner, API design, verify, analyze
Korean 정적 웹, 초보자, API 설계, 검증, 분석
Japanese 静的サイト, 初心者, API設計, 確認, 分析
Chinese 静态网站, 初学者, API设计, 验证, 分析
Spanish sitio web estatico, principiante, verificar
French site web statique, debutant, verifier
German statische Website, Anfanger, prufen
Italian sito web statico, principiante, verificare

Configuration

MCP Server (.codex/config.toml)

[mcp_servers.bkit]
command = "node"
args = ["./.bkit-codex/packages/mcp-server/index.js"]
startup_timeout_sec = 10
tool_timeout_sec = 30
required = true

bkit Config (bkit.config.json)

{
  "pdca": {
    "matchRateThreshold": 90,
    "maxIterations": 5,
    "statusFile": "docs/.pdca-status.json",
    "memoryFile": "docs/.bkit-memory.json"
  },
  "taskClassification": {
    "thresholds": { "quickFix": 10, "minorChange": 50, "feature": 200 }
  },
  "conventions": {
    "naming": {
      "components": "PascalCase",
      "functions": "camelCase",
      "constants": "UPPER_SNAKE_CASE",
      "files": "kebab-case"
    }
  },
  "supportedLanguages": ["en", "ko", "ja", "zh", "es", "fr", "de", "it"]
}

Relationship to bkit-claude-code

bkit-codex is a port of bkit-claude-code, adapted for OpenAI Codex CLI compatibility. Key differences:

Aspect bkit-claude-code bkit-codex
Platform Claude Code OpenAI Codex CLI
Automation Hook-Driven (100% auto) Instruction-Driven (~70% auto)
Context file CLAUDE.md AGENTS.md
Skills format YAML frontmatter SKILL.md + openai.yaml
Agent system 16 dedicated agents SKILL.md descriptions
State management Hook scripts MCP tools
Hooks 10 hook events (45 scripts) N/A (rules in AGENTS.md)
Team orchestration CTO-Led Agent Teams N/A
Functions 241 (5 lib modules) 75 (4 lib modules)
Commands Slash commands (/pdca) Skill invocation ($pdca)
Dependencies Node.js modules Zero external dependencies

What's Preserved

  • 3 Core Principles (Automation First, No Guessing, Docs = Code)
  • PDCA workflow with phase transition validation
  • 3-Level system (Starter / Dynamic / Enterprise)
  • 9-Phase development pipeline
  • 8-language trigger support
  • PDCA document templates
  • State file format (docs/.pdca-status.json)

What's Different

  • No hook system -- enforcement relies on AGENTS.md rules + MCP tool guidance
  • No team orchestration -- Codex CLI doesn't support agent spawning
  • Reduced function set (75 of 241) -- excluded hook I/O, team management, Claude Code-specific modules
  • Skills use Codex-native SKILL.md format with openai.yaml manifest

Documentation


Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

Quick Contribution Guide

  1. Fork the repository
  2. Create a feature branch from main
  3. Make changes following code style guidelines
  4. Run tests: node --test packages/mcp-server/tests/
  5. Submit a pull request

Key Rules

  • Zero dependencies: MCP server must use pure Node.js only
  • Consistent patterns: All tools follow { handler, definition } pattern
  • 8-language triggers: Include triggers in all 8 supported languages
  • JSDoc comments: Required for all public functions in lib/

Branch Protection

  • Only admin team members can merge to main
  • All changes require pull request review
  • Version releases are managed through Git tags

License

Copyright 2024-2026 POPUP STUDIO PTE. LTD.

Licensed under the Apache License, Version 2.0. See LICENSE for details.


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bkit Vibecoding Kit for OpenAI Codex - PDCA + Context Engineering for AI-native development

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