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Programming roadmaps

Programming roadmaps on Sefism: every stage, what it covers, how long it takes and what you can build once it is done.

  • 56 paths
  • 3295 topics

Free to learn. Credits keep it fair.

Reading is free. Adding a roadmap, keeping a cheat sheet or asking Tauseef a question uses credits, which only make sure the platform goes to people who are actually learning.

  • 15creditswhen you join
  • 1stroadmapfree to add
  • Morecreditson request, as you learn

Foundations

5

Start here if you are new or your basics are patchy.

  • Roadmap · Foundations

    DSA and problem solving roadmap

    Data structures and patterns

    The path

    1. 1Complexity and Big-O
    2. 2Arrays, hashing, linked lists, stacks and queues
    3. Recursion, sorting and searching

    + 5 more

    • 8 stages
    • 52 topics
    • ~14 months
    Opens with credits
  • Roadmap · Foundations

    Coding with AI tools roadmap

    Claude Code, Cursor, Copilot, used well

    The path

    1. 1What AI coding tools are good and bad at
    2. 2Setup and project context
    3. 3Prompting for code: small tasks, clear specs

    + 7 more

    • 10 stages
    • 59 topics
    • ~5 months
  • Roadmap · Foundations

    Software design and clean code roadmap

    OOP, SOLID, design patterns, refactoring

    The path

    1. 1Object-oriented programming properly
    2. 2SOLID with before and after code
    3. Clean code: naming, functions and errors

    + 7 more

    • 10 stages
    • 71 topics
    • ~6 months
    Opens with credits

Build products

2

Ship real apps for the web and phones.

  • Roadmap · Build products

    .NET developer roadmap

    C#, ASP.NET Core, EF Core, production-ready APIs

    The path

    1. 1C# and the .NET platform
    2. 2C# for real work: LINQ, collections, generics and async
    3. ASP.NET Core basics

    + 7 more

    • 10 stages
    • 59 topics
    • ~18 months
    Opens with credits

Specialise

1

Go deep in one area of engineering.

  • Roadmap · Specialise

    Data science roadmap

    Statistics, pandas, ML, experiments

    The path

    1. 1Python for data: NumPy and pandas
    2. 2Statistics and probability you actually use
    3. SQL for data work

    + 7 more

    • 10 stages
    • 69 topics
    • ~10 months
    Opens with credits

Browse the roadmaps by stage of your career

Each of these is its own page: the foundations, the ones that build products, the ones that specialise, the career paths and the ways to earn independently.

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