From 8e26f26685c1b6eb3a9047e05886de7f4d04eb49 Mon Sep 17 00:00:00 2001 From: user Date: Fri, 10 Oct 2025 04:25:14 +0000 Subject: [PATCH] Initial commit of io8 project --- .../.sureai/prd_document.md | 166 ++++++++++++++++++ .../.sureai/project_plan.md | 69 ++++++++ 2 files changed, 235 insertions(+) diff --git a/messaging_app_20251010_040350-messaging_app_20251010_040350-f-f/authsec_angular/frontend/angular-clarity-master/.sureai/prd_document.md b/messaging_app_20251010_040350-messaging_app_20251010_040350-f-f/authsec_angular/frontend/angular-clarity-master/.sureai/prd_document.md index a69d65f..e157708 100644 --- a/messaging_app_20251010_040350-messaging_app_20251010_040350-f-f/authsec_angular/frontend/angular-clarity-master/.sureai/prd_document.md +++ b/messaging_app_20251010_040350-messaging_app_20251010_040350-f-f/authsec_angular/frontend/angular-clarity-master/.sureai/prd_document.md @@ -551,3 +551,169 @@ This project will follow a phased approach, aligning with the `analysis_document * **Security Vulnerabilities (High):** ... * **Mitigation (Additional):** Implement a strict Content Security Policy (CSP) on the frontend; utilize secure environment variable management in production. (Referenced: `architecture_document.md` Security Architecture Enhancements). + + +--- + +## PRD UPDATE - 2025-10-10 04:25:14 + + + +## 6. Functional Requirements +*Updated: 2025-10-10T04:22:00* +* **Message Constraints:** + * FR-019: Message Length Limit: Text messages will be limited to a maximum of 1024 characters to ensure system efficiency and prevent abuse, as per business rules in `analysis_document.md`. + +## 7. Non-Functional Requirements +*Updated: 2025-10-10T04:22:00* +* **Performance:** + * NFR-001 (Refined): Message Latency: Messages should be delivered within **200ms** for 95% of messages under normal load (up to 1,000 concurrent users), and within 500ms for 99% of messages. + * NFR-002 (Refined): Concurrent Users: The system shall support at least 1,000 concurrent users (MVP), scalable to **5,000+** in Phase 2, and 10,000+ in future phases, with consistent performance. + * NFR-003 (Refined): Response Time (API): REST API endpoints should respond within **150ms** for 90% of requests, and 300ms for 99% of requests. +* **Security:** + * NFR-004 (Refined): Authorization: Implement Role-Based Access Control (RBAC) to ensure users only access resources and perform actions for which they have explicit permissions (e.g., `member` vs. `admin` in group chats), and enforce resource ownership checks for individual messages/conversations. + * NFR-005 (Refined): Data Encryption: All data in transit (HTTP/WSS) must be encrypted using TLS/SSL. Passwords must be hashed and salted at rest using `bcrypt`. Consider database-level encryption for sensitive data at rest for future enhancements. + * NFR-006 (Added): API Rate Limiting: Implement rate limiting on authentication and registration endpoints to prevent brute-force attacks and abuse (as identified in `architecture_document.md` and `tech_stack_document.md`). + * NFR-007 (Added): Content Security Policy (CSP): Implement a strict CSP for the frontend to mitigate Cross-Site Scripting (XSS) attacks. +* **Scalability:** + * NFR-008 (Refined): Horizontal Scaling: All backend services (Auth, User, Chat, WebSocket) must be designed as stateless entities, allowing them to be scaled horizontally by adding more instances behind a load balancer. Redis Pub/Sub will facilitate message distribution across scaled WebSocket instances. + * NFR-009 (Refined): Database Scalability: PostgreSQL will be configured for high availability with master-replica (read-only) setups to distribute read load. Redis cluster mode will be used for horizontal scaling of real-time data and pub/sub. Future consideration for sharding `Message` table for extreme volumes. +* **Reliability:** + * NFR-010 (Refined): Message Delivery Guarantee: Messages sent must be reliably delivered and persisted, using Redis Streams/Lists to buffer messages for offline users and ensure at-least-once delivery, even in case of temporary network disruptions. + * NFR-011 (Added): Automated Backups: Regular automated backups of the PostgreSQL database will be implemented to ensure data durability and recovery capabilities (as per `architecture_document.md`). +* **Maintainability:** + * NFR-012 (Refined): Monitoring & Logging: Implement comprehensive monitoring (Prometheus, Grafana) and centralized logging (Loki/ELK) across all application layers (frontend, backend, database, Redis) for proactive issue identification and performance analysis. + * NFR-013 (Added): Error Tracking: Integrate real-time error tracking (e.g., Sentry) for both frontend and backend to quickly identify and resolve application errors. + +## 10. Technical Requirements +*Updated: 2025-10-10T04:22:00* +* **Frontend (Angular Clarity):** + * Utilize a custom Angular service leveraging the native `WebSocket` API (or `ngx-web-socket` wrapper) for real-time communication, handling connection management, sending events, and receiving messages. + * Ensure secure handling of JWTs for authentication, storing them securely (e.g., HttpOnly cookies, not local storage) with both REST and WebSocket connections, and implementing a token refresh mechanism. + * Employ RxJS for managing complex asynchronous data streams and state within components and services. + * Configure a strict Content Security Policy (CSP) to enhance frontend security. +* **Backend (Python FastAPI):** + * Develop multiple FastAPI services (Authentication, User, Conversation, Message) for a microservices-aligned architecture. + * Implement a dedicated FastAPI/Starlette WebSocket service for managing persistent client connections, real-time message broadcasting, and user presence updates. + * Utilize SQLAlchemy with Alembic for database migrations and ORM interactions with PostgreSQL, ensuring robust and version-controlled schema evolution. + * Implement JWT-based authentication using `python-jose` or `PyJWT` for token generation/validation, and `bcrypt` for secure password hashing. + * Expose comprehensive OpenAPI/Swagger UI documentation for all REST API endpoints. +* **Real-time Communication Layer:** + * Employ a Redis instance for **Pub/Sub functionality** to enable efficient and scalable message broadcasting across horizontally scaled WebSocket service instances. + * Leverage **Redis Streams or Lists** to temporarily store messages for users who are offline or disconnected, ensuring guaranteed message delivery upon reconnection. + * Use Redis for fast, in-memory storage and retrieval of user presence status (online/offline/away). +* **Database (PostgreSQL):** + * Implement robust indexing on key tables, particularly `Message` (`conversation_id`, `sender_id`, `sent_at`) and `ConversationParticipant` (`user_id`, `conversation_id`), to optimize query performance for chat history and user lookups. + * Configure PostgreSQL with read replicas to distribute read load, enhancing scalability for data retrieval operations. + * Actively update `ConversationParticipant.last_read_message_id` to enable read receipts and unread message indicators. +* **Caching:** + * Utilize Redis for caching frequently accessed, less volatile data (e.g., user profiles, conversation metadata) to reduce database load and improve API response times. +* **Deployment & Infrastructure:** + * Containerize all services (Frontend, Backend API, WebSocket, Redis, PostgreSQL) using Docker for consistent development and production environments. + * Provide `docker-compose.yml` for simplified local development and testing of the multi-service application. + * For production, plan for deployment using container orchestration platforms like Kubernetes or AWS ECS/Fargate to enable horizontal scaling, high availability, and automated management of services. + * Configure Nginx as a reverse proxy and load balancer to serve the frontend, route API requests, manage WebSocket connections, and handle SSL termination and API rate limiting. +* **Monitoring & Logging:** + * Integrate Prometheus for collecting metrics from all services and Grafana for creating comprehensive dashboards to visualize system performance and health. + * Implement a centralized logging solution (e.g., Loki with Promtail, or ELK stack) to aggregate and analyze logs from all containers for debugging and operational insights. + * Integrate Sentry for real-time error tracking and alerts across the stack. +* **API Contracts:** Define clear and consistent RESTful API endpoints and WebSocket event formats (JSON payloads) for seamless frontend-backend integration, documented automatically by FastAPI. +* **Background Processing (Phase 2):** Introduce a background task queue (e.g., Celery with Redis as broker) for asynchronous processing of computationally intensive tasks, such as media resizing/processing or complex notification delivery. + +## 12. Risk Assessment +*Updated: 2025-10-10T04:22:00* +*(Building upon `analysis_document.md`, `io8codermaster_plan.md`, `architecture_document.md`, and `tech_stack_document.md`)* + +1. **Scalability Challenges (High):** + * **Risk:** Real-time messaging can be resource-intensive, leading to performance degradation with increased concurrent users if not architected and implemented correctly. + * **Mitigation:** + * Implement stateless backend microservices for effective horizontal scaling, ensuring each component can scale independently. + * Utilize Redis Pub/Sub for WebSocket message distribution across multiple WebSocket service instances. + * Employ efficient database indexing on `Message` and `ConversationParticipant` tables, and consider PostgreSQL read replicas for read-heavy operations. + * Leverage Redis cluster mode for horizontally scaling real-time data storage (presence) and Pub/Sub capabilities. + * Regularly perform load testing and performance benchmarking against defined NFR-001/002 targets. +2. **Performance & Latency (High):** + * **Risk:** High message latency or slow UI response times can severely degrade user experience, leading to user dissatisfaction and churn. + * **Mitigation:** + * Optimize WebSocket message processing and broadcasting logic, ensuring minimal overhead. + * Minimize direct database queries for real-time operations by leveraging Redis for user presence and caching frequently accessed data. + * Implement efficient frontend rendering strategies within Angular to reduce UI lag. + * Continuously monitor network performance, optimize payload sizes, and utilize monitoring tools (Prometheus/Grafana) to identify and address bottlenecks. +3. **Security Vulnerabilities (High):** + * **Risk:** User data breaches, unauthorized access, communication eavesdropping, or common web vulnerabilities (XSS, SQLi) could erode user trust and lead to compliance issues. + * **Mitigation:** + * Implement robust JWT authentication with token expiration and refresh mechanisms, and enforce RBAC authorization for resource access. + * Enforce TLS/SSL (HTTPS/WSS) for all communications. Securely hash passwords using bcrypt. + * Perform comprehensive input validation on both frontend and backend to prevent injection attacks and other vulnerabilities. + * Implement API rate limiting on critical endpoints (e.g., login, registration) at both the Nginx reverse proxy and application level. + * Configure a strict Content Security Policy (CSP) for the frontend. Securely manage environment variables and secrets. + * Conduct regular security audits, vulnerability assessments, and penetration testing throughout the development lifecycle. +4. **Integration Complexity (Medium):** + * **Risk:** Integrating a new Python FastAPI backend and real-time layer with an existing Angular Clarity boilerplate, along with various infrastructure components (PostgreSQL, Redis, Nginx), might lead to unforeseen compatibility issues, development overhead, or delays. + * **Mitigation:** + * Define clear and detailed API contracts (REST and WebSocket event formats) upfront and enforce strict adherence by both frontend and backend teams. + * Maintain modularity on both frontend and backend to isolate changes and reduce cascading effects. + * Conduct frequent, automated integration testing between frontend and backend services. + * Utilize Docker Compose for consistent local development and staging environments, streamlining the integration process. +5. **Scope Creep (Medium):** + * **Risk:** Uncontrolled addition of feature requests beyond the MVP could delay critical functionalities, increase project costs, and impact delivery timelines for the core messaging experience. + * **Mitigation:** + * Strictly adhere to the defined MVP scope (Phase 2 features) for initial delivery, clearly categorizing future features into subsequent phases (Phase 3, Phase 4). + * Prioritize backlog items based on immediate business value and MVP goals using an Agile framework. + * Implement a robust change management process for new feature requests, requiring thorough evaluation against project scope and objectives. + * Regularly communicate scope and prioritization decisions to all stakeholders to ensure alignment. + +## 13. Timeline & Milestones +*Updated: 2025-10-10T04:22:00* +*(Aligned with `analysis_document.md`'s "Update: Project Phases and Milestones" and `tech_stack_document.md` operational details)* + +**Phase 1: Discovery & Architecture (Completed)** +* **Output:** Detailed `analysis_document.md`, `architecture_document.md`, `tech_stack_document.md`, and this comprehensive `prd_document.md`. + +**Phase 2: Core Messaging MVP Development (Target: 8-10 weeks)** +* **Milestone 1: Foundational Services & Authentication (Weeks 1-3)** + * **Backend:** Develop and test User Authentication Service (registration, login, JWT issuance/validation), User Profile Management, and initial PostgreSQL database schema for Users/Conversations/Messages. Implement API rate limiting. + * **Frontend:** Integrate Angular Auth Module with Clarity UI for user registration/login. Implement secure JWT storage and retrieval. Basic User Profile view. +* **Milestone 2: Real-time 1:1 Messaging & Persistence (Weeks 4-7)** + * **Backend:** Develop Message Service (persistence), WebSocket Service (real-time delivery using FastAPI/Starlette), integrate Redis for Pub/Sub and user presence. Implement message buffering for offline users (Redis Streams/Lists). + * **Frontend:** Develop Angular Chat Module (1:1 chat UI, message input, real-time sending/receiving messages, displaying paginated history). Integrate user presence display. +* **Milestone 3: MVP Integration, QA & Local Deployment (Weeks 8-10)** + * Full end-to-end integration of frontend and backend. Implement unit and integration tests (Jest/Pytest). Initial performance testing for latency and concurrent users. Configure `docker-compose.yml` for consistent local development across all services. Set up basic monitoring for local environment. + +**Phase 3: Feature Expansion & Quality Assurance (Target: 6-8 weeks, starting after MVP)** +* **Milestone 4: Group Chat & UI Enhancements (Weeks 1-3)** + * **Backend:** Extend Conversation Service for Group Chat management (creation, member add/remove), Message Service for group messaging. + * **Frontend:** Develop Group Chat UI, enhance conversation list to differentiate 1:1 and group chats. +* **Milestone 5: Notifications & Media Sharing (Weeks 3-5)** + * **Backend:** Develop Notification Service, integrate with object storage (AWS S3/GCS) for File Storage Service, implement background task queue (Celery/Redis) for media processing. + * **Frontend:** Implement in-app notification display, integrate media upload/display capabilities in chat. +* **Milestone 6: Comprehensive Testing & Optimization (Weeks 5-8)** + * Conduct full E2E testing (Cypress/Playwright), security audits, advanced load testing, and comprehensive performance optimization across all features. + * Extensive bug fixing. Refine monitoring dashboards (Grafana) and logging queries (Loki/ELK). + +**Phase 4: Deployment Readiness & Operations (Target: 2-3 weeks, after Feature Expansion)** +* **Milestone 7: CI/CD & Production Infrastructure Setup (Weeks 1-2)** + * Set up robust CI/CD pipelines (GitHub Actions/GitLab CI) for automated linting, testing, container image building, vulnerability scanning, and deployment to staging environments. + * Configure production-grade infrastructure on cloud (e.g., Kubernetes/ECS, PostgreSQL with read replicas, Redis Cluster, Nginx load balancer). Establish secure environment variable management. +* **Milestone 8: Monitoring, Logging & Production Deployment (Weeks 2-3)** + * Implement comprehensive monitoring (Prometheus/Grafana), centralized logging (Loki/ELK), and error tracking (Sentry) for production. Configure alerts for critical issues. + * Automate database backups. Final deployment of the application to the production environment, followed by post-deployment verification and continuous operational support. + +## 14. Dependencies & Assumptions +*Updated: 2025-10-10T04:22:00* +**Dependencies:** +* **Angular Clarity Boilerplate:** Continued stability and extensibility of the provided boilerplate is critical for frontend development. +* **Backend Services:** All defined backend microservices (Auth, User, Conversation, Message, WebSocket, Notification, File Storage) must be developed and stable. +* **Database Infrastructure:** Reliable and scalable PostgreSQL and Redis instances (including Pub/Sub and Streams) are provisioned and accessible. +* **Cloud Services:** Access to object storage (e.g., AWS S3) for media sharing (Phase 2). +* **Developer Skillset:** Availability of development team proficient in Angular, TypeScript, Python, FastAPI, WebSockets, Docker, PostgreSQL, Redis, and cloud deployment practices. +* **Nginx Configuration:** Correct Nginx setup for routing, load balancing, and SSL termination for both REST and WebSocket traffic. + +**Assumptions:** +* The existing Angular Clarity boilerplate is stable and extensible without requiring significant refactoring or introducing breaking changes. +* The project team has access to necessary development tools, cloud infrastructure, and security resources throughout the project lifecycle. +* Real-time performance metrics (NFR-001) can be achieved with the chosen technology stack under expected load and concurrent users (NFR-002). +* Security requirements (NFR-004 to NFR-007) are clearly defined, will be continuously reviewed, and validated through security audits. +* Stakeholders are fully aligned on the MVP scope and phased rollout strategy, minimizing scope changes during active development phases. +* Third-party libraries and services used (e.g., `bcrypt`, `python-jose`, Sentry, Prometheus) maintain their functionality and support. + diff --git a/messaging_app_20251010_040350-messaging_app_20251010_040350-f-f/authsec_angular/frontend/angular-clarity-master/.sureai/project_plan.md b/messaging_app_20251010_040350-messaging_app_20251010_040350-f-f/authsec_angular/frontend/angular-clarity-master/.sureai/project_plan.md index f1455aa..a0801a3 100644 --- a/messaging_app_20251010_040350-messaging_app_20251010_040350-f-f/authsec_angular/frontend/angular-clarity-master/.sureai/project_plan.md +++ b/messaging_app_20251010_040350-messaging_app_20251010_040350-f-f/authsec_angular/frontend/angular-clarity-master/.sureai/project_plan.md @@ -184,3 +184,72 @@ This project plan outlines the strategic approach and high-level roadmap for dev * Create detailed operational runbooks and documentation for incident response, system maintenance, and scaling procedures. * Implement automated database backup and restore procedures, ensuring data durability and disaster recovery capabilities. + + +--- + +## PROJECT PLAN UPDATE - 2025-10-10 04:25:14 + + + +### Project Plan for "Messaging App" - PM Initiatives (2025-10-10T04:22:00) + +## 1. Project Management Methodology +*Updated: 2025-10-10T04:22:00* +The "Messaging App" project will continue to adopt an **Agile Scrum-based methodology** tailored for real-time application development. This approach fosters iterative development, continuous feedback, and rapid adaptation to evolving requirements, especially critical for real-time systems. +* **Sprints:** Consistent 2-week sprints will be utilized to deliver incremental, shippable features, aligning with the project's phased roadmap. +* **Ceremonies:** Standard Scrum ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, Retrospectives) will be strictly adhered to, ensuring transparency and continuous improvement. +* **Backlog Management:** A dynamic and prioritized product backlog will be meticulously maintained and groomed, focusing on delivering maximum business value per sprint, with a clear delineation between MVP (Phase 2) and future features (Phase 3+). +* **Tools:** JIRA, Trello, or a similar project management tool will be used for detailed backlog management, sprint tracking, task assignment, and progress reporting. + +## 2. Project Phases & Milestones +*Updated: 2025-10-10T04:22:00* +Building upon the phases identified in `analysis_document.md` and informed by the detailed architecture and tech stack: + +* **Phase 1: Discovery & Architecture (Completed)** + * **Activities:** Comprehensive requirements gathering, detailed system architecture design, technology stack selection, initial database schema definition, API contract outlining, and initial risk assessment. + * **Deliverables:** `analysis_document.md`, `architecture_document.md`, `tech_stack_document.md`, and the detailed `prd_document.md`. + * **Status:** Completed prior to this update. + +* **Phase 2: Core Messaging MVP Development (Target: 8-10 Weeks)** + * **Goal:** Implement fundamental user authentication, one-to-one real-time messaging, and message persistence, creating a shippable Minimum Viable Product. + * **Key Milestones & Deliverables:** + * **M2.1: Authentication & User Services (Weeks 1-3):** Implement FastAPI backend services for user registration, login (JWT), user profile management, and PostgreSQL database integration for users. Frontend Angular modules for registration, login, profile display (Clarity UI). Initial API rate limiting. + * **M2.2: Real-time Messaging Backend Core (Weeks 4-7):** Develop FastAPI Message Service (persistence) and WebSocket Service (real-time delivery). Integrate Redis for Pub/Sub and user presence, including buffering for offline messages (Redis Streams/Lists). + * **M2.3: Frontend 1:1 Chat Interface & Integration (Weeks 5-8):** Develop Angular Chat Module for sending/receiving 1:1 text messages, displaying paginated chat history, and real-time user presence updates, fully integrated with backend services. + * **M2.4: MVP Integration, Testing & Local Deployment (Weeks 8-10):** Full end-to-end integration of frontend and backend. Comprehensive unit and integration testing (Jest/Pytest). Initial performance testing for message latency and concurrent users. Setup `docker-compose.yml` for all services (frontend, backend, DB, Redis) to enable consistent local development. + * **Success Criteria:** All MVP user stories (US-001 to US-010) are implemented, securely functional, and meet defined NFRs (message latency, basic security, concurrent users) for MVP. + +* **Phase 3: Feature Expansion & Quality Assurance (Target: 6-8 Weeks)** + * **Goal:** Introduce advanced messaging features, conduct thorough system-wide testing, and optimize for performance and security. + * **Key Milestones & Deliverables:** + * **M3.1: Group Chat Implementation (Weeks 1-3):** Extend backend Conversation and Message Services for group creation and multi-user messaging. Develop corresponding Angular UI for group chat management and interaction (US-011, US-012). + * **M3.2: Notifications & Media Sharing (Weeks 3-5):** Implement backend Notification Service. Integrate with cloud object storage (e.g., AWS S3) for File Storage Service. Implement background task processing (Celery/Redis) for media handling. Develop frontend notification display and media upload/viewing features (US-013 to US-018). + * **M3.3: Comprehensive Testing & Optimization (Weeks 5-8):** Dedicated QA phase including extensive End-to-End (E2E) testing (Cypress/Playwright), white-box and black-box security audits, advanced load testing, and comprehensive performance tuning. Significant bug fixing and stability enhancements. Develop detailed monitoring dashboards (Grafana) and centralized logging capabilities (Loki/ELK). + * **Success Criteria:** All Phase 3 user stories are implemented, the product is stable, secure, and performance benchmarks are met under higher load. All monitoring and logging infrastructure is in place. + +* **Phase 4: Deployment Readiness & Operations (Target: 2-3 Weeks)** + * **Goal:** Establish production-ready deployment pipelines, infrastructure, and operational monitoring for continuous delivery and system reliability. + * **Key Milestones & Deliverables:** + * **M4.1: CI/CD Pipeline & Production Infrastructure (Weeks 1-2):** Setup robust CI/CD pipelines (e.g., GitHub Actions) for automated code quality checks (linting/formatting), unit/integration/E2E testing, container image building, vulnerability scanning, and automated deployment to staging environments. Configure production cloud infrastructure (e.g., Kubernetes cluster, PostgreSQL with read replicas, Redis Cluster, Nginx load balancer/reverse proxy) with secure environment variable management. + * **M4.2: Operational Monitoring & Production Rollout (Weeks 2-3):** Finalize and integrate Prometheus, Grafana, Loki/ELK, and Sentry for comprehensive production monitoring, logging, and error tracking with defined alerts. Implement automated database backup and recovery procedures. Execute final production deployment, post-deployment validation, and establish ongoing operational support and maintenance plan. + * **Success Criteria:** Application successfully deployed to production environment, CI/CD operational, monitoring and alerting systems functional, and robust data durability (backups). + +## 4. Risk Management Strategy +*Updated: 2025-10-10T04:22:00* +Proactive monitoring and mitigation of identified risks, informed by detailed architectural and technical considerations: +* **Scalability:** Implement horizontal scaling for all stateless backend services and the WebSocket Gateway using Redis Pub/Sub for message distribution. Employ database read replicas and efficient indexing to handle increasing read loads. Conduct regular load testing to validate performance under growing user concurrency. +* **Performance:** Continuously monitor message latency and API response times using Prometheus and Grafana. Optimize WebSocket message processing, leverage Redis for user presence and caching, and ensure efficient frontend rendering. Prioritize performance optimizations throughout all development sprints. +* **Security:** Integrate robust JWT authentication with refresh token mechanisms and RBAC authorization. Enforce TLS/SSL for all communications. Securely hash passwords. Implement comprehensive input validation, API rate limiting (Nginx & FastAPI), and a strict Content Security Policy. Conduct regular security audits and vulnerability assessments. +* **Integration Complexity:** Foster early and continuous communication between frontend and backend teams. Strictly adhere to well-defined API (REST & WebSocket) contracts. Conduct frequent, automated integration testing. Utilize Docker Compose for a consistent, integrated local development environment across all services. +* **Scope Creep:** Maintain strict adherence to the defined MVP (Phase 2) and phased feature rollout. Implement a rigorous change management process for any new feature requests, requiring clear justification and re-prioritization of the backlog. Regularly communicate scope decisions to all stakeholders. + +## 5. Communication Plan +*Updated: 2025-10-10T04:22:00* +* **Daily Stand-ups:** Short, daily sync-ups (15 min) for the development team to discuss yesterday's progress, today's plans, and any blockers. Focus on sprint goals. +* **Sprint Reviews:** End-of-sprint demonstrations (2-4 hours) of completed and shippable work to stakeholders, collecting feedback and ensuring alignment with business objectives. +* **Sprint Retrospectives:** End-of-sprint internal team meetings (1-2 hours) to reflect on what went well, what could be improved, and actionable steps for process enhancement. +* **Product Backlog Refinement:** Regular sessions (e.g., once a week) to refine, estimate (story points), and prioritize backlog items for upcoming sprints, ensuring detailed readiness for development. +* **Documentation:** All project documentation (`.sureai/prd_document.md`, `project_plan.md`, `architecture_document.md`, `tech_stack_document.md`, etc.) will be kept up-to-date and accessible through the version control system. Change logs and timestamps will track updates. +* **Ad-hoc Meetings:** As needed for in-depth design discussions, critical problem-solving, risk mitigation, or stakeholder consultations. Utilize communication channels (e.g., Slack, Teams) for quick queries and updates. +