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Engineering Journal

Notes on building scalable systems

Pragmatic, opinionated writing on SaaS architecture, backend systems, auth, and AI.

  1. Dark SaaS architecture blueprint showing MVP planning, user roles, database design, APIs, and scalability before software development
    ·11 min read·
    • #saas
    • #mvp-development
    • #software-architecture
    • #startup-development

    From MVP to Scalable SaaS: What I Plan Before Writing Code

    Building a SaaS product is not only about writing code quickly. Before development starts, the right planning around users, roles, database design, architecture, security, scalability, and future features can save months of rework later.

  2. Illustration showing how cheap software development creates technical debt and higher long-term product costs
    ·8 min read·
    • #software-development
    • #saas
    • #project-planning
    • #technical-debt

    Why Cheap Software Development Becomes Expensive Later

    Cheap software development looks attractive in the beginning, but it often creates hidden costs through poor architecture, weak planning, technical debt, security gaps, and expensive rebuilds later. This article explains why serious software products need the right foundation from day one.

  3. Dark product architecture roadmap showing MVP, scalable SaaS, and enterprise software versions with features, architecture, security, and reliability layers
    ·12 min read·
    • #mvp-planning
    • #scalable-software
    • #enterprise-software
    • #product-architecture

    How to Plan MVP, Scalable, and Enterprise Versions of a Product

    The same product idea can be built in different ways: MVP, scalable, or enterprise-grade. Each version has a different scope, architecture, timeline, budget, and risk level. This article explains how to plan the right version based on business goals, product stage, and future growth.

  4. Dark software planning workspace showing client requirements, MVP scope, user workflows, integrations, budget, timeline, and development planning before a project starts
    ·12 min read·
    • #software-project-planning
    • #client-guide
    • #software-development
    • #mvp-planning

    What Clients Should Prepare Before Starting a Software Project

    A successful software project does not start with coding. It starts with clarity. Before hiring a developer or software team, clients should prepare their business goals, core features, user roles, workflows, budget range, timeline, references, integrations, and future product vision.

  5. Dark architecture illustration showing JWT authentication, Redis sessions, refresh tokens, token versioning, and revocation in a production SaaS system
    ·9 min read·
    • #jwt
    • #sessions
    • #redis
    • #token-versioning

    JWT, Sessions, Redis, and Token Versioning in Production SaaS Systems

    JWT authentication looks simple in tutorials, but production SaaS systems need more than token generation. This article explains how JWTs, sessions, Redis, refresh tokens, and token versioning work together to support secure, scalable, and revocable authentication.

  6. Dark backend architecture illustration showing BullMQ queues, Redis, workers, retries, scheduled tasks, and background job processing in a SaaS system
    ·8 min read·
    • #bullmq
    • #redis
    • #queue-based-architecture
    • #background-jobs

    Queue-Based Architecture: When to Use BullMQ and Redis

    Queues are one of the most practical ways to make backend systems faster, more reliable, and easier to scale. This article explains when to use BullMQ and Redis for background jobs, async processing, retries, scheduled tasks, and production SaaS workflows.

  7. Dark software architecture illustration showing clean project structure, design patterns, modules, service layers, and scalable code organization
    ·13 min read·
    • #project-structure
    • #design-patterns
    • #software-architecture
    • #scalable-software

    Why Project Structure and Design Patterns Matter in Scalable Software

    Scalable software is not only about servers, databases, or cloud infrastructure. It also depends on how the codebase is structured. A clean project structure and the right design patterns make software easier to maintain, extend, test, debug, and scale as the product and team grow.