diff --git a/.env.example b/.env.example
new file mode 100644
index 00000000..db567a84
--- /dev/null
+++ b/.env.example
@@ -0,0 +1,18 @@
+# PostgreSQL
+POSTGRES_DB=stackup
+POSTGRES_USER=stackup
+POSTGRES_PASSWORD=stackup
+POSTGRES_PORT=5432
+
+# RabbitMQ
+RABBITMQ_USER=stackup
+RABBITMQ_PASSWORD=stackup
+RABBITMQ_PORT=5672
+RABBITMQ_MANAGEMENT_PORT=15672
+
+# MinIO (S3)
+MINIO_ROOT_USER=minioadmin
+MINIO_ROOT_PASSWORD=minioadmin
+MINIO_API_PORT=9000
+MINIO_CONSOLE_PORT=9001
+MINIO_BUCKET=stackup
diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
index 2be9f128..9f9772df 100644
--- a/.github/workflows/lint.yml
+++ b/.github/workflows/lint.yml
@@ -27,8 +27,10 @@ jobs:
       - name: Setup Python
         uses: actions/setup-python@v5
         with:
-          python-version: '3.11'
-          cache: 'pip'
+          python-version: '3.13'
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
 
       - name: Setup Java
         uses: actions/setup-java@v4
@@ -79,14 +81,12 @@ jobs:
       # AI (Python)
       - name: Install AI dependencies
         working-directory: ./ai
-        run: |
-          pip install -r requirements.txt
-          pip install flake8 black pylint
+        run: uv sync --extra dev
 
       - name: Lint AI (flake8)
         working-directory: ./ai
-        run: flake8 . --max-line-length=120 --exclude=venv,__pycache__
+        run: uv run flake8 .
 
       - name: Check AI formatting (black)
         working-directory: ./ai
-        run: black --check .
+        run: uv run black --check .
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 00000000..5343ae9a
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+.vscode
+.claude
\ No newline at end of file
diff --git a/CLAUDE.md b/CLAUDE.md
new file mode 100644
index 00000000..7320b257
--- /dev/null
+++ b/CLAUDE.md
@@ -0,0 +1,680 @@
+# StackUp — Claude Code 프로젝트 컨텍스트
+
+> IT 직군 멀티모달 AI 면접 시뮬레이터
+
+---
+
+## 1. 프로젝트 개요
+
+StackUp은 IT 취업 준비생 및 이직 준비자(프론트엔드, 백엔드, 인프라, DBA)를 대상으로 한 AI 기반 모의 면접 플랫폼이다. GitHub 레포지토리와 이력서를 분석하여 개인 맞춤 면접 질문을 생성하고, 실시간 음성 기반 면접 세션을 제공하며, 비언어적 피드백(시선, 자세, 음성 분석)까지 포함한 종합 리포트를 생성한다.
+
+### 핵심 차별점 (단순 ChatGPT 질문과의 차이)
+- 이력서 + GitHub 레포 연동 기반 RAG 개인화 질문 생성
+- 실시간 음성 대화 (STT/TTS) 기반 꼬리질문 자동 생성
+- 비언어적 분석 (시선 처리, 자세, 말 속도, 간투어 빈도)
+- 세션 히스토리 추적 및 점수 추이 시각화
+- 면접 세션 리플레이 및 습관 파악
+
+### 팀 구성 (4인)
+| 이름 | 역할 | 주 담당 |
+|------|------|---------|
+| 박상우 | 백엔드 (Core) | Spring Boot, OAuth, 세션/리포트 API, DB |
+| 정준모 | AI 및 풀스택 | AI 서빙, LangChain/RAG, STT/TTS, 프롬프트 설계 |
+| 조서현 | 풀스택 | RealTime 서버(Go), Core-AI 연동, GitHub 레포 분석 |
+| 신재호 | 프론트엔드 | React UI, 미디어 스트림, 웹캠 연동 |
+
+---
+
+## 2. 시스템 아키텍처 (확정)
+
+```
+                        ┌─────────────────────────┐
+                        │  Frontend (React)        │
+                        │  CloudFront + S3 배포     │
+                        └────────┬────────────────┘
+                                 │
+                        ┌────────▼────────────────┐
+                        │  Nginx API Gateway       │
+                        └───┬─────────────┬───────┘
+                            │             │
+              ┌─────────────▼──┐   ┌──────▼──────────────┐
+              │ Core Server    │   │ RealTime Server      │
+              │ (Spring Boot)  │   │ (Go)                 │
+              │                │   │ - WebRTC             │
+              │ - GitHub OAuth │   │ - WebSocket          │
+              │ - 회원관리      │   │ - SSE                │
+              │ - 세션/리포트   │   │ - 세션 실시간 관리     │
+              │ - CRUD API     │   └──────────────────────┘
+              └───────┬───────┘
+                      │
+              ┌───────▼───────┐
+              │  RabbitMQ      │ ← Message Broker (Core ↔ AI 비동기 통신)
+              └───────┬───────┘
+                      │
+              ┌───────▼────────────────────┐
+              │  AI Server (Python/FastAPI) │
+              │  - LangChain 기반 RAG       │
+              │  - 질문 생성 / 꼬리질문      │
+              │  - 이력서·레포 분석          │
+              │  - 음성 분석                │
+              └───┬───────┬───────┬───────┘
+                  │       │       │
+          ┌───────▼┐ ┌───▼────┐ ┌▼──────────┐
+          │External │ │Local   │ │ VectorDB  │
+          │LLM APIs │ │LLM     │ │           │
+          │(Gemini, │ │        │ │           │
+          │ChatGPT) │ │        │ │           │
+          └────────┘ └────────┘ └───────────┘
+
+              ┌──────────────┐     ┌────────────────┐
+              │ PostgreSQL   │     │ Content S3     │
+              │ + pgvector   │     │ (이력서 PDF,    │
+              │              │     │  분석 MD,       │
+              │              │     │  면접 오디오)    │
+              └──────────────┘     └────────────────┘
+
+              ┌──────────────┐
+              │ Redis        │ ← ephemeral session state
+              └──────────────┘
+```
+
+### 핵심 통신 흐름
+- **Frontend → Nginx → Core Server**: REST API (인증, CRUD, 세션 생성)
+- **Frontend → Nginx → RealTime Server**: WebSocket/SSE (실시간 면접 세션)
+- **Core Server → RabbitMQ → AI Server**: 비동기 AI 작업 요청 (분석, 질문 생성)
+- **AI Server → RabbitMQ → Core Server**: 결과 콜백
+- **AI Server → External LLM API / Local LLM**: 실제 추론
+- **AI Server → VectorDB**: RAG 검색 (임베딩 기반 유사 문서/청크 검색)
+- **Core Server → PostgreSQL**: 영속 데이터 (유일한 DB 직접 접근 주체)
+- **Core/AI Server → S3**: 대용량 콘텐츠 저장/조회
+
+### LLM 이중 모델 전략
+- **Pro 모델**: 세션 시작 시 사용자 컨텍스트(이력서 + GitHub) 기반 질문 풀 생성
+- **Flash 모델 + RAG**: 세션 중 실시간 꼬리질문 생성 (저지연 우선)
+- **Local LLM**: 카메라 기반 시선/자세 분석 (MediaPipe)
+
+---
+
+## 3. 기술 스택
+
+### Backend
+| 영역 | 기술 | 비고 |
+|------|------|------|
+| Core Server | Java, Spring Boot, Spring AI | 인증인가, CRUD, 비즈니스 로직 |
+| ORM/Query | JPA/Hibernate + QueryDSL | 간단 쿼리는 JPA, 동적 쿼리는 QueryDSL |
+| Migration | Flyway | 스키마 버전 관리 |
+| AI Server | Python, FastAPI, LangChain | 모델 서빙, RAG, 프롬프트 체이닝 |
+| RealTime Server | Go | WebRTC, WebSocket, SSE 처리 |
+| Message Broker | RabbitMQ | Core ↔ AI 비동기 통신 |
+
+### Database & Storage
+| 영역 | 기술 | 비고 |
+|------|------|------|
+| Primary DB | PostgreSQL + pgvector | 관계형 데이터 + 벡터 임베딩 |
+| Cache | Redis | 세션 상태, 토큰 등 ephemeral 데이터 |
+| Object Storage | AWS S3 | 이력서 PDF, 분석 마크다운, 오디오 파일 |
+
+### Frontend
+| 영역 | 기술 | 비고 |
+|------|------|------|
+| Framework | React (TypeScript) | SPA, 반응형 웹 (모바일 웹뷰 대응) |
+| API 타입 생성 | springdoc-openapi → openapi-typescript | 타입 안전성 확보 |
+| 배포 | CloudFront + S3 | 정적 호스팅 |
+
+### Infra & DevOps
+| 영역 | 기술 | 비고 |
+|------|------|------|
+| API Gateway | Nginx | 리버스 프록시, 라우팅 |
+| Container | Docker Compose (로컬), K8s (배포) | 관리형 컨테이너 서비스 미사용 |
+| 분산 추적 | X-Trace-Id 헤더 기반 | 서비스 간 요청 추적 |
+
+### AI/ML
+| 영역 | 기술 | 비고 |
+|------|------|------|
+| LLM API | Gemini, ChatGPT | 외부 API |
+| Local LLM | 미정 | 카메라 분석 등 |
+| 음성 | STT/TTS (구체 서비스 미정) | 개발 용어 영어 혼용 대응 필요 |
+| 영상 분석 | MediaPipe | 시선 처리, 자세 분석 |
+| 실시간 통신 | WebRTC | 음성/영상 스트리밍 |
+
+---
+
+## 4. 핵심 기능 명세
+
+### MVP (Phase 1)
+1. **GitHub OAuth 로그인 및 레포지토리 선택**
+   - GitHub OAuth로 로그인
+   - 사용자의 레포지토리 목록 조회 → 면접에 사용할 레포 선택
+   - 선택된 레포의 파일 구조, README, 코드를 읽어 프로젝트 요약 마크다운 생성 → S3 저장
+
+2. **이력서 업로드 및 분석**
+   - PDF/웹 링크 형태 이력서 업로드
+   - 텍스트 추출 → 마크다운 변환 → S3 저장
+   - 분석 결과(기술 스택, 경력, 프로젝트) 메타데이터를 DB에 저장
+
+3. **RAG 기반 맞춤 질문 생성**
+   - 이력서 + GitHub 분석 마크다운을 청킹 → 임베딩 → pgvector 저장
+   - 면접 세션 시작 시 RAG로 관련 컨텍스트 검색 → Pro 모델로 질문 풀 생성
+   - 카테고리별 질문: CS 기초, 프로젝트 경험, 기술 선택 이유 등
+
+4. **텍스트 기반 AI 면접 세션**
+   - 질문 → 답변 → 꼬리질문 사이클 (Flash 모델 + RAG)
+   - 답변 구체성, 논리성, 구조(STAR) 평가
+   - 부족한 부분 기반 꼬리질문 자동 생성
+   - 세션 설정: 면접 유형(인성/기술/라이브코딩), 직군(프론트/백/인프라/DBA), 최대 질문 수, 최대 시간
+
+5. **면접 히스토리 관리**
+   - 세션 리스트 조회, 상세 조회
+   - 잘한 점 / 아쉬운 점 텍스트 요약
+   - 보완할 기술 키워드 추천
+
+### Phase 2 (음성)
+6. **실시간 음성 면접 세션**
+   - STT로 사용자 답변 실시간 텍스트 변환
+   - TTS로 AI 면접관 음성 출력
+   - 음성 분석: 말하기 속도(WPM), 간투어("음", "그", "어") 빈도, 침묵 시간, 발음 정확도
+
+### Phase 3 (리포트 고도화)
+7. **종합 피드백 리포트**
+   - 기술 정확도, 논리 점수, 커뮤니케이션 점수
+   - 음성 분석 결과 통합
+   - 다음 학습 키워드 추천 (JPA 영속성, 네트워크 기초 등)
+   - 세션 간 점수 추이 시각화
+
+### Phase 4 (확장)
+8. **웹캠 기반 비언어 분석** (부가기능)
+   - 카메라 응시 비율
+   - 시선 방향 분포 (아래/옆 보는 시간 비율)
+   - 자세 분석
+   - 온라인/오프라인 모드 선택 (상체만 / 전신)
+
+9. **멀티 에이전트 면접** (부가기능)
+   - 기술팀장, PM, 인사팀 등 여러 AI 면접관이 순차/동시 질문
+   - LangGraph 기반 멀티에이전트 구현
+
+---
+
+## 5. 데이터베이스 스키마 (v4 + 개선사항)
+
+### 현재 스키마 (13 테이블)
+```
+users → refresh_tokens, user_consents, repositories, resumes,
+         interview_sessions, activity_logs, ai_request_logs
+repositories ─┐
+resumes ──────┼→ analyzed_documents → session_contexts ← interview_sessions
+interview_sessions → interview_messages → message_voice_analyses
+interview_sessions → session_feedbacks
+```
+
+### 테이블 목록 및 역할
+
+| # | 테이블 | 역할 |
+|---|--------|------|
+| 1 | `users` | GitHub OAuth 사용자 정보 |
+| 2 | `refresh_tokens` | JWT refresh token 저장 |
+| 3 | `user_consents` | 개인정보처리동의 기록 |
+| 4 | `repositories` | 면접 분석용 GitHub 저장소 메타데이터 |
+| 5 | `resumes` | 이력서 메타데이터 (PDF/웹 URL), 실 파일은 S3 |
+| 6 | `analyzed_documents` | AI 분석 결과 메타데이터 + S3 경로 (이력서/레포 공통) |
+| 7 | `interview_sessions` | 면접 세션 설정·상태·히스토리 |
+| 8 | `session_contexts` | 세션 ↔ 분석 문서 N:M 연결 |
+| 9 | `interview_messages` | 면접 질문·답변 시퀀스 (parent_message_id로 꼬리질문 트리) |
+| 10 | `message_voice_analyses` | 답변별 음성 분석 결과 (1:1) |
+| 11 | `session_feedbacks` | 종합 피드백 리포트 (1:1) |
+| 12 | `activity_logs` | 사용자 행동 로그 |
+| 13 | `ai_request_logs` | AI 서버 요청/응답 로그 (토큰, 지연시간, 에러) |
+
+### 현재 스키마 DDL (v4)
+
+```sql
+-- 1. users
+CREATE TABLE users (
+    id                    BIGSERIAL     PRIMARY KEY,
+    github_id             BIGINT        NOT NULL UNIQUE,
+    github_username       VARCHAR(100)  NOT NULL,
+    email                 VARCHAR(255),
+    avatar_url            VARCHAR(500),
+    github_access_token   VARCHAR(500)  NOT NULL,  -- ⚠️ 암호화 필요
+    created_at            TIMESTAMP     NOT NULL DEFAULT NOW(),
+    updated_at            TIMESTAMP     NOT NULL DEFAULT NOW(),
+    is_deleted            BOOLEAN       NOT NULL DEFAULT FALSE
+);
+
+-- 2. refresh_tokens
+CREATE TABLE refresh_tokens (
+    id          BIGSERIAL     PRIMARY KEY,
+    user_id     BIGINT        NOT NULL REFERENCES users(id),
+    token_hash  VARCHAR(500)  NOT NULL UNIQUE,
+    device_info VARCHAR(500),
+    expires_at  TIMESTAMP     NOT NULL,
+    is_revoked  BOOLEAN       NOT NULL DEFAULT FALSE,
+    created_at  TIMESTAMP     NOT NULL DEFAULT NOW()
+);
+
+-- 3. user_consents
+CREATE TABLE user_consents (
+    id              BIGSERIAL    PRIMARY KEY,
+    user_id         BIGINT       NOT NULL REFERENCES users(id),
+    consent_type    VARCHAR(50)  NOT NULL,
+    consent_version VARCHAR(20) NOT NULL,
+    is_agreed       BOOLEAN      NOT NULL DEFAULT TRUE,
+    agreed_at       TIMESTAMP    NOT NULL DEFAULT NOW(),
+    revoked_at      TIMESTAMP,
+    ip_address      VARCHAR(45),
+    created_at      TIMESTAMP    NOT NULL DEFAULT NOW()
+);
+
+-- 4. repositories
+CREATE TABLE repositories (
+    id              BIGSERIAL     PRIMARY KEY,
+    user_id         BIGINT        NOT NULL REFERENCES users(id),
+    github_repo_id  BIGINT        NOT NULL,
+    repo_name       VARCHAR(255)  NOT NULL,
+    repo_full_name  VARCHAR(500)  NOT NULL,
+    repo_url        VARCHAR(500)  NOT NULL,
+    default_branch  VARCHAR(100)  DEFAULT 'main',
+    status          VARCHAR(20)   NOT NULL DEFAULT 'PENDING',
+    last_synced_at  TIMESTAMP,
+    created_at      TIMESTAMP     NOT NULL DEFAULT NOW(),
+    updated_at      TIMESTAMP     NOT NULL DEFAULT NOW(),
+    is_deleted      BOOLEAN       NOT NULL DEFAULT FALSE
+);
+
+-- 5. resumes
+CREATE TABLE resumes (
+    id                BIGSERIAL      PRIMARY KEY,
+    user_id           BIGINT         NOT NULL REFERENCES users(id),
+    original_filename VARCHAR(500)   NOT NULL,
+    file_path         VARCHAR(1000)  NOT NULL,  -- S3 key
+    file_type         VARCHAR(20)    NOT NULL,
+    file_size         BIGINT,
+    status            VARCHAR(20)    NOT NULL DEFAULT 'PENDING',
+    created_at        TIMESTAMP      NOT NULL DEFAULT NOW(),
+    updated_at        TIMESTAMP      NOT NULL DEFAULT NOW(),
+    is_deleted        BOOLEAN        NOT NULL DEFAULT FALSE
+);
+
+-- 6. analyzed_documents
+CREATE TABLE analyzed_documents (
+    id             BIGSERIAL      PRIMARY KEY,
+    source_type    VARCHAR(20)    NOT NULL,    -- 'RESUME' | 'REPOSITORY'
+    source_id      BIGINT         NOT NULL,    -- ⚠️ Polymorphic FK (FK 강제 불가)
+    document_path  VARCHAR(1000)  NOT NULL,    -- S3 key (분석 마크다운)
+    summary        VARCHAR(2000),
+    tech_stack     JSONB,
+    status         VARCHAR(20)    NOT NULL DEFAULT 'ACTIVE',
+    created_at     TIMESTAMP      NOT NULL DEFAULT NOW(),
+    updated_at     TIMESTAMP      NOT NULL DEFAULT NOW(),
+    is_deleted     BOOLEAN        NOT NULL DEFAULT FALSE
+);
+
+-- 7. interview_sessions
+CREATE TABLE interview_sessions (
+    id                    BIGSERIAL    PRIMARY KEY,
+    user_id               BIGINT       NOT NULL REFERENCES users(id),
+    title                 VARCHAR(200),
+    memo                  TEXT,
+    mode                  VARCHAR(20)  NOT NULL,   -- ONLINE / OFFLINE
+    interview_type        VARCHAR(30)  NOT NULL,   -- PERSONALITY / TECHNICAL / LIVE_CODING / INTEGRATED
+    job_category          VARCHAR(30)  NOT NULL,   -- FRONTEND / BACKEND / INFRA / DBA
+    max_questions         INT          NOT NULL DEFAULT 10,
+    max_duration_minutes  INT          NOT NULL DEFAULT 60,
+    status                VARCHAR(20)  NOT NULL DEFAULT 'READY',
+    -- READY / IN_PROGRESS / INTERRUPTED / COMPLETED / CANCELLED
+    total_question_count  INT          DEFAULT 0,
+    started_at            TIMESTAMP,
+    ended_at              TIMESTAMP,
+    created_at            TIMESTAMP    NOT NULL DEFAULT NOW(),
+    updated_at            TIMESTAMP    NOT NULL DEFAULT NOW(),
+    is_deleted            BOOLEAN      NOT NULL DEFAULT FALSE
+);
+
+-- 8. session_contexts
+CREATE TABLE session_contexts (
+    id          BIGSERIAL PRIMARY KEY,
+    session_id  BIGINT    NOT NULL REFERENCES interview_sessions(id),
+    document_id BIGINT    NOT NULL REFERENCES analyzed_documents(id),
+    created_at  TIMESTAMP NOT NULL DEFAULT NOW()
+);
+
+-- 9. interview_messages
+CREATE TABLE interview_messages (
+    id                BIGSERIAL      PRIMARY KEY,
+    session_id        BIGINT         NOT NULL REFERENCES interview_sessions(id),
+    sequence_number   INT            NOT NULL,
+    role              VARCHAR(20)    NOT NULL,  -- INTERVIEWER / INTERVIEWEE / SYSTEM
+    content           TEXT,
+    audio_file_path   VARCHAR(1000),            -- S3 key
+    parent_message_id BIGINT         REFERENCES interview_messages(id),
+    status            VARCHAR(20)    NOT NULL DEFAULT 'CREATED',
+    -- CREATED / COMPLETED / FAILED
+    created_at        TIMESTAMP      NOT NULL DEFAULT NOW()
+);
+
+-- 10. message_voice_analyses
+CREATE TABLE message_voice_analyses (
+    id                     BIGSERIAL PRIMARY KEY,
+    message_id             BIGINT    NOT NULL UNIQUE REFERENCES interview_messages(id),
+    speaking_rate_wpm      FLOAT,
+    silence_duration_sec   FLOAT,
+    filler_word_counts     JSONB,
+    pronunciation_accuracy FLOAT,
+    created_at             TIMESTAMP NOT NULL DEFAULT NOW()
+);
+
+-- 11. session_feedbacks
+CREATE TABLE session_feedbacks (
+    id                   BIGSERIAL      PRIMARY KEY,
+    session_id           BIGINT         NOT NULL UNIQUE REFERENCES interview_sessions(id),
+    overall_score        FLOAT,
+    technical_accuracy   FLOAT,
+    logic_score          FLOAT,
+    communication_score  FLOAT,
+    strengths_summary    TEXT,
+    weaknesses_summary   TEXT,
+    improvement_keywords JSONB,
+    report_file_path     VARCHAR(1000),
+    created_at           TIMESTAMP      NOT NULL DEFAULT NOW(),
+    updated_at           TIMESTAMP      NOT NULL DEFAULT NOW(),
+    is_deleted           BOOLEAN        NOT NULL DEFAULT FALSE
+);
+
+-- 12. activity_logs
+CREATE TABLE activity_logs (
+    id            BIGSERIAL    PRIMARY KEY,
+    user_id       BIGINT       REFERENCES users(id),
+    action        VARCHAR(50)  NOT NULL,
+    resource_type VARCHAR(30),
+    resource_id   BIGINT,
+    detail        JSONB,
+    ip_address    VARCHAR(45),
+    user_agent    VARCHAR(500),
+    created_at    TIMESTAMP    NOT NULL DEFAULT NOW()
+);
+
+-- 13. ai_request_logs
+CREATE TABLE ai_request_logs (
+    id            BIGSERIAL    PRIMARY KEY,
+    user_id       BIGINT       REFERENCES users(id),
+    session_id    BIGINT       REFERENCES interview_sessions(id),
+    request_type  VARCHAR(50)  NOT NULL,
+    model_name    VARCHAR(100),
+    input_tokens  INT,
+    output_tokens INT,
+    latency_ms    INT,
+    status        VARCHAR(20)  NOT NULL,
+    error_message TEXT,
+    created_at    TIMESTAMP    NOT NULL DEFAULT NOW()
+);
+```
+
+### ⚠️ 식별된 스키마 개선 필수 사항 (우선순위순)
+
+**즉시 수정 (Flyway V1 마이그레이션 전)**
+1. **TIMESTAMP → TIMESTAMPTZ 전환**: 모든 테이블의 TIMESTAMP을 TIMESTAMPTZ로 변경 (타임존 이슈 방지)
+2. **CHECK 제약조건 추가**: status, mode, interview_type, job_category, role 등 모든 분류 컬럼에 허용값 제한
+3. **interview_messages.sequence_number UNIQUE 제약**: `(session_id, sequence_number)` 복합 유니크 인덱스
+4. **analyzed_documents 다형성 FK 해결**: `source_type + source_id` → `resume_id BIGINT NULL REFERENCES resumes(id)` + `repository_id BIGINT NULL REFERENCES repositories(id)` + CHECK (둘 중 하나만 NOT NULL)
+5. **github_access_token 암호화**: 평문 저장 금지, 애플리케이션 레벨 AES 암호화 적용, 컬럼명을 `encrypted_github_access_token`으로 변경
+6. **interview_messages 빈 메시지 방지**: `CHECK (content IS NOT NULL OR audio_file_path IS NOT NULL)`
+
+**후속 개선**
+7. **로그 테이블 파티셔닝**: activity_logs, ai_request_logs에 `PARTITION BY RANGE (created_at)` 적용
+8. **Partial Index 활용**: soft delete 테이블에 `WHERE is_deleted = FALSE` partial index
+9. **session_feedbacks 점수 확장**: 면접 타입별 다른 평가 항목 → JSONB scores 필드 고려
+10. **S3 path 컨벤션 통일**: bucket은 환경변수, key만 DB 저장
+
+### 미반영 도메인 (추후 테이블 추가 예정)
+- 시선/자세 분석 결과 테이블 (Phase 4)
+- 면접 노트 (질문별 사용자 메모 + LLM Enrich)
+- 면접 대상 회사 관리 (target_companies)
+
+---
+
+## 6. 데이터 흐름 상세
+
+### 6.1 GitHub 레포 분석 파이프라인
+```
+사용자 레포 선택
+  → Core Server: repositories 테이블에 레코드 생성 (status: PENDING)
+  → Core Server → RabbitMQ: 분석 요청 발행
+  → AI Server: GitHub API로 레포 탐색 (파일 구조, README, 코드)
+  → AI Server: 프로젝트 요약 마크다운 생성
+  → AI Server → S3: 마크다운 업로드
+  → AI Server: 마크다운 청킹 → 임베딩 생성 → pgvector 저장
+  → AI Server → RabbitMQ: 분석 완료 콜백
+  → Core Server: analyzed_documents 레코드 생성, repositories.status → ANALYZED
+```
+
+### 6.2 이력서 분석 파이프라인
+```
+사용자 이력서 업로드 (PDF)
+  → Core Server → S3: 원본 파일 업로드
+  → Core Server: resumes 테이블에 레코드 생성 (status: PENDING)
+  → Core Server → RabbitMQ: 분석 요청 발행
+  → AI Server: PDF → 텍스트 추출 → 마크다운 변환
+  → AI Server → S3: 분석 마크다운 업로드
+  → AI Server: 마크다운 청킹 → 임베딩 생성 → pgvector 저장
+  → AI Server → RabbitMQ: 분석 완료 콜백
+  → Core Server: analyzed_documents 레코드 생성, resumes.status → ANALYZED
+```
+
+### 6.3 면접 세션 흐름
+```
+세션 생성 (설정: 유형, 직군, 참고 문서 선택)
+  → Core Server: interview_sessions 생성, session_contexts 연결
+  → Core Server → RabbitMQ: 질문 풀 생성 요청 (Pro 모델)
+  → AI Server: RAG로 관련 컨텍스트 검색 → 질문 풀 생성
+  → 세션 시작
+
+질문-답변 사이클 (반복):
+  → RealTime Server → Frontend: 질문 전송 (WebSocket/SSE)
+  → Frontend: 사용자 답변 (텍스트 or 음성 → STT)
+  → RealTime Server: interview_messages 기록 요청
+  → Core Server: 메시지 저장
+  → Core Server → RabbitMQ: 꼬리질문 생성 요청 (Flash 모델 + RAG)
+  → AI Server: 답변 평가 + 꼬리질문 생성
+  → 반복...
+
+세션 종료:
+  → Core Server → RabbitMQ: 피드백 리포트 생성 요청
+  → AI Server: 종합 평가 생성
+  → Core Server: session_feedbacks 저장
+```
+
+### 6.4 저장소 전략 (Hybrid)
+| 데이터 종류 | 저장소 | 이유 |
+|-------------|--------|------|
+| 사용자/세션/메시지 메타 | PostgreSQL | 관계형 쿼리, 트랜잭션 |
+| 벡터 임베딩 | PostgreSQL (pgvector) | 단일 DB 운영 |
+| 분석 마크다운 (이력서/레포) | S3 | 대용량 텍스트 |
+| 면접 오디오 파일 | S3 | 대용량 바이너리 |
+| 이력서 원본 PDF | S3 | 대용량 바이너리 |
+| 실시간 세션 상태 | Redis | 빠른 읽기/쓰기, TTL |
+
+---
+
+## 7. API 설계 가이드라인
+
+### 접근 원칙
+- **PostgreSQL 직접 접근**: Core Server만 가능 (AI Server, RealTime Server는 API 또는 RabbitMQ 경유)
+- **분산 추적**: 모든 요청에 `X-Trace-Id` 헤더 전파
+- **API 문서**: springdoc-openapi로 OpenAPI 스펙 자동 생성 → 프론트에서 openapi-typescript로 타입 생성
+- **AI 작업 상태**: SSE로 프론트에 실시간 전달
+
+### 주요 API 그룹 (Core Server)
+```
+POST   /api/auth/github          # GitHub OAuth 로그인
+POST   /api/auth/refresh          # 토큰 갱신
+DELETE /api/auth/logout           # 로그아웃
+
+GET    /api/users/me              # 내 정보 조회
+PUT    /api/users/me              # 내 정보 수정
+DELETE /api/users/me              # 회원 탈퇴 (soft delete)
+
+GET    /api/repositories          # 내 GitHub 레포 목록
+POST   /api/repositories          # 분석용 레포 등록
+GET    /api/repositories/:id      # 레포 상세 (분석 상태 포함)
+
+POST   /api/resumes               # 이력서 업로드
+GET    /api/resumes               # 내 이력서 목록
+GET    /api/resumes/:id           # 이력서 상세
+
+GET    /api/documents             # 분석된 문서 목록
+GET    /api/documents/:id         # 분석 문서 상세
+
+POST   /api/sessions              # 면접 세션 생성
+GET    /api/sessions              # 세션 히스토리 목록
+GET    /api/sessions/:id          # 세션 상세 (메시지, 피드백 포함)
+PATCH  /api/sessions/:id/start    # 세션 시작
+PATCH  /api/sessions/:id/end      # 세션 종료
+
+GET    /api/sessions/:id/feedback # 세션 피드백 조회
+GET    /api/users/me/stats        # 내 면접 통계 (점수 추이 등)
+```
+
+---
+
+## 8. 개발 환경 및 컨벤션
+
+### 로컬 개발 환경
+- Docker Compose로 PostgreSQL, Redis, RabbitMQ, MinIO(S3 대체) 실행
+- 각 서버(Core, AI, RealTime)는 독립 프로세스로 실행
+
+### 코드 컨벤션
+- **Java (Core Server)**: Spring Boot 표준 패키지 구조
+  ```
+  com.stackup.core
+  ├── config/        # 설정 (Security, RabbitMQ, S3 등)
+  ├── domain/        # Entity, Repository, Enum
+  ├── service/       # 비즈니스 로직
+  ├── controller/    # REST API
+  ├── dto/           # Request/Response DTO
+  ├── exception/     # 커스텀 예외
+  └── infra/         # 외부 연동 (GitHub API, S3, RabbitMQ publisher)
+  ```
+- **Python (AI Server)**: FastAPI + LangChain
+  ```
+  ai_server/
+  ├── api/           # FastAPI 라우터 (RabbitMQ consumer 포함)
+  ├── chain/         # LangChain 체인 정의
+  ├── rag/           # RAG 파이프라인 (청킹, 임베딩, 검색)
+  ├── analyzer/      # 이력서/레포 분석 로직
+  ├── voice/         # STT/TTS, 음성 분석
+  ├── model/         # Pydantic 모델
+  └── config/        # 설정
+  ```
+- **Go (RealTime Server)**
+  ```
+  realtime/
+  ├── handler/       # WebSocket, SSE, WebRTC 핸들러
+  ├── session/       # 세션 상태 관리
+  ├── middleware/     # 인증, 로깅
+  └── config/
+  ```
+- **React (Frontend)**
+  ```
+  src/
+  ├── components/    # 재사용 컴포넌트
+  ├── pages/         # 라우트별 페이지
+  ├── hooks/         # 커스텀 훅
+  ├── api/           # API 호출 (자동 생성 타입 활용)
+  ├── stores/        # 상태 관리
+  └── types/         # 타입 정의 (openapi-typescript 생성)
+  ```
+
+### Git 브랜치 전략
+- `main`: 배포 브랜치
+- `develop`: 통합 개발 브랜치
+- `feature/*`: 기능 개발
+- `hotfix/*`: 긴급 수정
+
+---
+
+## 9. MVP 개발 순서 (권장)
+
+```
+Week 1-2: 프로젝트 세팅 + DB 스키마 확정
+  ├── Docker Compose 환경 구성 (PostgreSQL, Redis, RabbitMQ, MinIO)
+  ├── Flyway 초기 마이그레이션 (V1__init.sql)
+  ├── Spring Boot 프로젝트 스캐폴딩 + JPA Entity 매핑
+  ├── FastAPI 프로젝트 스캐폴딩
+  └── Go RealTime 서버 스캐폴딩
+
+Week 3-4: 인증 + GitHub 연동
+  ├── GitHub OAuth 플로우 구현 (Core Server)
+  ├── JWT 발급/갱신/검증 (access + refresh)
+  ├── GitHub API 연동: 레포 목록 조회, 파일/README 읽기
+  ├── 레포 분석 파이프라인: 레포 → 마크다운 요약 → S3 저장
+  └── RabbitMQ 기본 연동 (Core ↔ AI 메시지 교환)
+
+Week 5-6: 이력서 분석 + RAG 파이프라인
+  ├── 이력서 업로드 API (S3 연동)
+  ├── PDF → 텍스트 → 마크다운 변환
+  ├── 청킹 전략 구현 + 임베딩 생성
+  ├── pgvector 저장 + 유사도 검색
+  └── RAG 기반 질문 생성 프롬프트 설계/테스트
+
+Week 7-8: 면접 세션 MVP
+  ├── 세션 CRUD API
+  ├── 세션 시작 → 질문 풀 생성 → 첫 질문 전달
+  ├── 답변 수신 → 평가 → 꼬리질문 생성 사이클
+  ├── 세션 종료 → 피드백 생성
+  └── React 면접 세션 UI (텍스트 기반)
+
+Week 9-10: STT/TTS + 음성 면접
+  ├── STT 연동 (브라우저 → 서버 스트리밍)
+  ├── TTS 연동 (면접관 음성 출력)
+  ├── 음성 분석 모듈 (WPM, filler words, 침묵)
+  └── RealTime 서버 WebSocket 연동
+
+Week 11-12: 리포트 + 히스토리 + 통합 테스트
+  ├── 피드백 리포트 고도화
+  ├── 세션 히스토리 대시보드
+  ├── 점수 추이 시각화
+  └── 통합 테스트, 버그 수정
+
+Week 13-14: 사용자 테스트 + 발표 준비
+  ├── 사용자 테스트 (5명+)
+  ├── 성능 최적화
+  ├── UI/UX 개선
+  └── 발표 자료 준비
+```
+
+---
+
+## 10. 주의사항 및 원칙
+
+### 설계 원칙
+- **MVP 우선**: 불필요한 테이블/기능은 과감히 제거. "나중에 추가하겠지" 테이블은 만들지 않음
+- **Hybrid Storage**: 구조화 데이터 → PostgreSQL, 대용량 콘텐츠 → S3, 임시 상태 → Redis
+- **청킹 기반 RAG**: 전체 문서를 LLM에 넣지 않고, 청킹 → 임베딩 → 유사도 검색 → 관련 컨텍스트만 전달
+- **DB 접근 격리**: PostgreSQL 직접 접근은 Core Server만. AI/RealTime 서버는 API 또는 RabbitMQ 경유
+- **코드 기반 문서화**: 스키마의 모든 테이블과 컬럼에 역할/용도 코멘트 필수
+
+### 보안
+- GitHub access token은 반드시 암호화 저장
+- JWT refresh token은 해시만 저장 (원본 저장 금지)
+- 이력서에 민감정보 포함 가능 → 개인정보처리동의 기록 필수
+- S3 path에는 key만 저장 (bucket은 환경변수)
+
+### 성능
+- 꼬리질문 생성 지연: 3초 이내 목표 (Flash 모델 + RAG)
+- STT 인식 정확도: 90% 이상 (개발 용어 영어 혼용 환경)
+- 로그 테이블(activity_logs, ai_request_logs)은 파티셔닝 + 보관 정책 설계
+
+---
+
+## 부록: 면접 세션 설정값 ENUM 정리
+
+```
+mode:           ONLINE | OFFLINE
+interview_type: PERSONALITY | TECHNICAL | LIVE_CODING | INTEGRATED
+job_category:   FRONTEND | BACKEND | INFRA | DBA
+session_status: READY | IN_PROGRESS | INTERRUPTED | COMPLETED | CANCELLED
+message_role:   INTERVIEWER | INTERVIEWEE | SYSTEM
+message_status: CREATED | COMPLETED | FAILED
+repo_status:    PENDING | ANALYZING | ANALYZED | FAILED
+resume_status:  PENDING | ANALYZING | ANALYZED | FAILED
+doc_status:     ACTIVE | ARCHIVED
+```
diff --git a/ai/.dockerignore b/ai/.dockerignore
new file mode 100644
index 00000000..fbd3fc84
--- /dev/null
+++ b/ai/.dockerignore
@@ -0,0 +1,8 @@
+__pycache__
+*.pyc
+.env
+.venv/
+venv/
+.git/
+tests/
+*.md
diff --git a/ai/.env.example b/ai/.env.example
new file mode 100644
index 00000000..c147b5c3
--- /dev/null
+++ b/ai/.env.example
@@ -0,0 +1,15 @@
+# Application
+DEBUG=false
+
+# RabbitMQ
+RABBITMQ_URL=amqp://stackup:stackup@localhost:5672/
+
+# S3 / MinIO
+S3_ENDPOINT_URL=http://localhost:9000
+S3_ACCESS_KEY=minioadmin
+S3_SECRET_KEY=minioadmin
+S3_BUCKET_NAME=stackup
+
+# LLM API Keys
+OPENAI_API_KEY=
+GOOGLE_API_KEY=
diff --git a/ai/.flake8 b/ai/.flake8
new file mode 100644
index 00000000..f5fc245a
--- /dev/null
+++ b/ai/.flake8
@@ -0,0 +1,4 @@
+[flake8]
+max-line-length = 500
+exclude = venv,.venv,__pycache__
+extend-ignore = E203,W503
diff --git a/ai/.gitignore b/ai/.gitignore
new file mode 100644
index 00000000..4a515aab
--- /dev/null
+++ b/ai/.gitignore
@@ -0,0 +1,19 @@
+# Virtual environment
+.venv/
+venv/
+
+# Python
+__pycache__/
+*.pyc
+*.pyo
+
+# Environment
+.env
+
+# pytest
+.pytest_cache/
+
+# IDE
+.idea/
+.vscode/
+*.swp
diff --git a/ai/.python-version b/ai/.python-version
new file mode 100644
index 00000000..24ee5b1b
--- /dev/null
+++ b/ai/.python-version
@@ -0,0 +1 @@
+3.13
diff --git a/ai/Dockerfile b/ai/Dockerfile
new file mode 100644
index 00000000..be917800
--- /dev/null
+++ b/ai/Dockerfile
@@ -0,0 +1,14 @@
+FROM python:3.13-slim
+
+COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
+
+WORKDIR /app
+
+COPY pyproject.toml uv.lock ./
+RUN uv sync --frozen --no-dev
+
+COPY src/ src/
+
+EXPOSE 8000
+
+CMD ["uv", "run", "uvicorn", "ai_server.main:app", "--host", "0.0.0.0", "--port", "8000"]
diff --git a/ai/pyproject.toml b/ai/pyproject.toml
new file mode 100644
index 00000000..3bd259ea
--- /dev/null
+++ b/ai/pyproject.toml
@@ -0,0 +1,44 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "stackup-ai-server"
+version = "0.1.0"
+requires-python = ">=3.13"
+dependencies = [
+    "fastapi>=0.135.2",
+    "uvicorn[standard]>=0.42.0",
+    "pydantic>=2.12.5",
+    "pydantic-settings>=2.13.1",
+    "httpx>=0.28.1",
+    "aio-pika>=9.6.2",
+"boto3>=1.42.77",
+    "langchain>=1.2.13",
+    "langchain-core>=1.2.22",
+    "langchain-community>=0.4.1",
+    "structlog>=25.5.0",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=9.0.2",
+    "pytest-asyncio>=1.3.0",
+    "black>=26.3.1",
+    "flake8>=7.3.0",
+    "pylint>=4.0.5",
+]
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/ai_server"]
+
+[tool.black]
+line-length = 88
+target-version = ["py313"]
+
+[tool.pylint.messages_control]
+disable = ["C0114", "C0115", "C0116"]
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+asyncio_mode = "auto"
diff --git a/ai/.gitkeep b/ai/src/ai_server/__init__.py
similarity index 100%
rename from ai/.gitkeep
rename to ai/src/ai_server/__init__.py
diff --git a/infra/.gitkeep b/ai/src/ai_server/api/__init__.py
similarity index 100%
rename from infra/.gitkeep
rename to ai/src/ai_server/api/__init__.py
diff --git a/ai/src/ai_server/api/health.py b/ai/src/ai_server/api/health.py
new file mode 100644
index 00000000..0d1632a5
--- /dev/null
+++ b/ai/src/ai_server/api/health.py
@@ -0,0 +1,8 @@
+from fastapi import APIRouter
+
+router = APIRouter(tags=["health"])
+
+
+@router.get("/health")
+async def health_check() -> dict[str, str]:
+    return {"status": "ok"}
diff --git a/ai/src/ai_server/config/__init__.py b/ai/src/ai_server/config/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/ai/src/ai_server/config/settings.py b/ai/src/ai_server/config/settings.py
new file mode 100644
index 00000000..92f5a571
--- /dev/null
+++ b/ai/src/ai_server/config/settings.py
@@ -0,0 +1,31 @@
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    model_config = SettingsConfigDict(
+        env_file=".env",
+        env_file_encoding="utf-8",
+        case_sensitive=False,
+    )
+
+    # Application
+    app_name: str = "stackup-ai-server"
+    app_version: str = "0.1.0"
+    debug: bool = False
+
+    # RabbitMQ
+    rabbitmq_url: str = "amqp://stackup:stackup@localhost:5672/"
+
+    # S3 / MinIO
+    s3_endpoint_url: str = "http://localhost:9000"
+    s3_access_key: str = ""
+    s3_secret_key: str = ""
+    s3_bucket_name: str = "stackup"
+
+    # LLM API Keys
+    openai_api_key: str = ""
+    google_api_key: str = ""
+
+
+def get_settings() -> Settings:
+    return Settings()
diff --git a/ai/src/ai_server/main.py b/ai/src/ai_server/main.py
new file mode 100644
index 00000000..59fbd0f9
--- /dev/null
+++ b/ai/src/ai_server/main.py
@@ -0,0 +1,32 @@
+from collections.abc import AsyncGenerator
+from contextlib import asynccontextmanager
+
+from fastapi import FastAPI
+
+from ai_server.api.health import router as health_router
+from ai_server.config.settings import Settings, get_settings
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
+    # Startup
+    yield
+    # Shutdown
+
+
+def create_app(settings: Settings | None = None) -> FastAPI:
+    if settings is None:
+        settings = get_settings()
+
+    app = FastAPI(
+        title=settings.app_name,
+        version=settings.app_version,
+        lifespan=lifespan,
+    )
+
+    app.include_router(health_router)
+
+    return app
+
+
+app = create_app()
diff --git a/ai/tests/__init__.py b/ai/tests/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/ai/tests/test_health.py b/ai/tests/test_health.py
new file mode 100644
index 00000000..96192374
--- /dev/null
+++ b/ai/tests/test_health.py
@@ -0,0 +1,18 @@
+import pytest
+from httpx import ASGITransport, AsyncClient
+
+from ai_server.main import create_app
+
+
+@pytest.fixture
+def app():
+    return create_app()
+
+
+@pytest.mark.asyncio
+async def test_health_check(app):
+    transport = ASGITransport(app=app)
+    async with AsyncClient(transport=transport, base_url="http://test") as client:
+        response = await client.get("/health")
+    assert response.status_code == 200
+    assert response.json() == {"status": "ok"}
diff --git a/ai/uv.lock b/ai/uv.lock
new file mode 100644
index 00000000..b6350dfe
--- /dev/null
+++ b/ai/uv.lock
@@ -0,0 +1,1906 @@
+version = 1
+revision = 3
+requires-python = ">=3.13"
+
+[[package]]
+name = "aio-pika"
+version = "9.6.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiormq" },
+    { name = "yarl" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/96/63/56354526f2e6e915c93bee6e4dedb35888fe82d6bc1a19f35f5a77e795ff/aio_pika-9.6.2.tar.gz", hash = "sha256:c49e9246080dc8ffa1bb0e4aca407bf3d8ad78c3ee3a93df88b68fe65d7a49b9", size = 70851, upload-time = "2026-03-22T19:03:20.878Z" }
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+]
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+name = "aiohappyeyeballs"
+version = "2.6.1"
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diff --git a/docker-compose.yml b/docker-compose.yml
new file mode 100644
index 00000000..0350e6e0
--- /dev/null
+++ b/docker-compose.yml
@@ -0,0 +1,70 @@
+services:
+  postgres:
+    build: ./infra/postgres
+    container_name: stackup-postgres
+    ports:
+      - "${POSTGRES_PORT:-5432}:5432"
+    environment:
+      POSTGRES_DB: ${POSTGRES_DB:-stackup}
+      POSTGRES_USER: ${POSTGRES_USER:-stackup}
+      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-stackup}
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-stackup}"]
+      interval: 5s
+      timeout: 3s
+      retries: 5
+
+  rabbitmq:
+    build: ./infra/rabbitmq
+    container_name: stackup-rabbitmq
+    ports:
+      - "${RABBITMQ_PORT:-5672}:5672"
+      - "${RABBITMQ_MANAGEMENT_PORT:-15672}:15672"
+    environment:
+      RABBITMQ_DEFAULT_USER: ${RABBITMQ_USER:-stackup}
+      RABBITMQ_DEFAULT_PASS: ${RABBITMQ_PASSWORD:-stackup}
+    volumes:
+      - rabbitmq_data:/var/lib/rabbitmq
+    healthcheck:
+      test: ["CMD", "rabbitmq-diagnostics", "check_port_connectivity"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+
+  minio:
+    build: ./infra/minio
+    container_name: stackup-minio
+    ports:
+      - "${MINIO_API_PORT:-9000}:9000"
+      - "${MINIO_CONSOLE_PORT:-9001}:9001"
+    environment:
+      MINIO_ROOT_USER: ${MINIO_ROOT_USER:-minioadmin}
+      MINIO_ROOT_PASSWORD: ${MINIO_ROOT_PASSWORD:-minioadmin}
+    volumes:
+      - minio_data:/data
+    healthcheck:
+      test: ["CMD", "mc", "ready", "local"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+
+  minio-init:
+    image: minio/mc:latest
+    container_name: stackup-minio-init
+    depends_on:
+      minio:
+        condition: service_healthy
+    environment:
+      MINIO_ROOT_USER: ${MINIO_ROOT_USER:-minioadmin}
+      MINIO_ROOT_PASSWORD: ${MINIO_ROOT_PASSWORD:-minioadmin}
+      MINIO_BUCKET: ${MINIO_BUCKET:-stackup}
+    volumes:
+      - ./infra/minio/init.sh:/init.sh:ro
+    entrypoint: ["/bin/sh", "/init.sh"]
+
+volumes:
+  postgres_data:
+  rabbitmq_data:
+  minio_data:
diff --git a/infra/minio/Dockerfile b/infra/minio/Dockerfile
new file mode 100644
index 00000000..f5f9a457
--- /dev/null
+++ b/infra/minio/Dockerfile
@@ -0,0 +1,5 @@
+FROM minio/minio:latest
+
+EXPOSE 9000 9001
+
+CMD ["server", "/data", "--console-address", ":9001"]
diff --git a/infra/minio/init.sh b/infra/minio/init.sh
new file mode 100644
index 00000000..e75554d2
--- /dev/null
+++ b/infra/minio/init.sh
@@ -0,0 +1,5 @@
+#!/bin/sh
+set -e
+
+mc alias set local http://minio:9000 "${MINIO_ROOT_USER}" "${MINIO_ROOT_PASSWORD}"
+mc mb local/"${MINIO_BUCKET}" --ignore-existing
diff --git a/infra/postgres/Dockerfile b/infra/postgres/Dockerfile
new file mode 100644
index 00000000..6f633cc8
--- /dev/null
+++ b/infra/postgres/Dockerfile
@@ -0,0 +1,3 @@
+FROM pgvector/pgvector:pg17
+
+COPY init.sql /docker-entrypoint-initdb.d/
diff --git a/infra/postgres/init.sql b/infra/postgres/init.sql
new file mode 100644
index 00000000..0aa0fc22
--- /dev/null
+++ b/infra/postgres/init.sql
@@ -0,0 +1 @@
+CREATE EXTENSION IF NOT EXISTS vector;
diff --git a/infra/rabbitmq/Dockerfile b/infra/rabbitmq/Dockerfile
new file mode 100644
index 00000000..d418dd24
--- /dev/null
+++ b/infra/rabbitmq/Dockerfile
@@ -0,0 +1,4 @@
+FROM rabbitmq:4-management
+
+COPY rabbitmq.conf /etc/rabbitmq/rabbitmq.conf
+COPY definitions.json /etc/rabbitmq/definitions.json
diff --git a/infra/rabbitmq/definitions.json b/infra/rabbitmq/definitions.json
new file mode 100644
index 00000000..db8ac9a0
--- /dev/null
+++ b/infra/rabbitmq/definitions.json
@@ -0,0 +1,109 @@
+{
+  "vhosts": [
+    { "name": "/" }
+  ],
+  "exchanges": [
+    {
+      "name": "stackup.core-to-ai",
+      "vhost": "/",
+      "type": "topic",
+      "durable": true,
+      "auto_delete": false
+    },
+    {
+      "name": "stackup.ai-to-core",
+      "vhost": "/",
+      "type": "topic",
+      "durable": true,
+      "auto_delete": false
+    }
+  ],
+  "queues": [
+    {
+      "name": "ai.analyze.repository",
+      "vhost": "/",
+      "durable": true,
+      "auto_delete": false,
+      "arguments": {}
+    },
+    {
+      "name": "ai.analyze.resume",
+      "vhost": "/",
+      "durable": true,
+      "auto_delete": false,
+      "arguments": {}
+    },
+    {
+      "name": "ai.generate.questions",
+      "vhost": "/",
+      "durable": true,
+      "auto_delete": false,
+      "arguments": {}
+    },
+    {
+      "name": "ai.generate.followup",
+      "vhost": "/",
+      "durable": true,
+      "auto_delete": false,
+      "arguments": {}
+    },
+    {
+      "name": "core.callback.analysis",
+      "vhost": "/",
+      "durable": true,
+      "auto_delete": false,
+      "arguments": {}
+    },
+    {
+      "name": "core.callback.questions",
+      "vhost": "/",
+      "durable": true,
+      "auto_delete": false,
+      "arguments": {}
+    }
+  ],
+  "bindings": [
+    {
+      "source": "stackup.core-to-ai",
+      "vhost": "/",
+      "destination": "ai.analyze.repository",
+      "destination_type": "queue",
+      "routing_key": "analyze.repository"
+    },
+    {
+      "source": "stackup.core-to-ai",
+      "vhost": "/",
+      "destination": "ai.analyze.resume",
+      "destination_type": "queue",
+      "routing_key": "analyze.resume"
+    },
+    {
+      "source": "stackup.core-to-ai",
+      "vhost": "/",
+      "destination": "ai.generate.questions",
+      "destination_type": "queue",
+      "routing_key": "generate.questions"
+    },
+    {
+      "source": "stackup.core-to-ai",
+      "vhost": "/",
+      "destination": "ai.generate.followup",
+      "destination_type": "queue",
+      "routing_key": "generate.followup"
+    },
+    {
+      "source": "stackup.ai-to-core",
+      "vhost": "/",
+      "destination": "core.callback.analysis",
+      "destination_type": "queue",
+      "routing_key": "callback.analysis"
+    },
+    {
+      "source": "stackup.ai-to-core",
+      "vhost": "/",
+      "destination": "core.callback.questions",
+      "destination_type": "queue",
+      "routing_key": "callback.questions"
+    }
+  ]
+}
diff --git a/infra/rabbitmq/rabbitmq.conf b/infra/rabbitmq/rabbitmq.conf
new file mode 100644
index 00000000..f619e879
--- /dev/null
+++ b/infra/rabbitmq/rabbitmq.conf
@@ -0,0 +1 @@
+management.load_definitions = /etc/rabbitmq/definitions.json