roadmap.sh

What is roadmap.sh?

roadmap.sh is an open-source platform designed to help budding and experienced developers navigate their career paths by offering visual, step-by-step learning roadmaps. It covers a wide range of roles including Frontend, Backend, Full Stack, AI, and DevOps. Originally created as a simple set of charts, it has evolved into a collaborative hub where community members can contribute, suggest resources, and share expertise. The platform features interactive flowcharts that outline skills, technologies, and concepts necessary for various tech careers, alongside guides, project ideas, and AI-powered learning tools.

How to use roadmap.sh?

To use roadmap.sh, simply select a desired role or skill from the homepage, such as 'Frontend Developer' or 'Machine Learning'. Interact with the visual flowchart by clicking on specific nodes to access curated links, articles, videos, and courses related to that topic. Users can log in to track their progress step-by-step, build custom roadmaps, and utilize the AI Tutor to generate personalized courses, quizzes, and career guidance tailored to their specific learning goals.

roadmap.sh's Core Features

• Role-based visual roadmaps provide step-by-step career paths for frontend, backend, DevOps, and more.

• Skill-based roadmaps offer deep dives into specific technologies like React, Python, or AWS.

• Interactive flowcharts allow users to click nodes for curated learning resources and tutorials.

• Progress tracking enables logged-in users to mark topics as done and monitor their learning journey.

• An AI Tutor generates personalized courses, guides, and structured learning plans on demand.

• AI-generated quizzes and mock interviews test knowledge and provide instant feedback.

• A custom roadmap editor lets users build and share their own learning paths.

• Project ideas offer practical exercises categorized by skill level and tech stack.

• A community-driven approach ensures content is regularly updated and peer-reviewed.

roadmap.sh's Use Cases

• #1

  Planning a career path in software engineering, data science, or related fields.

• #2

  Identifying skill gaps and learning requirements for a specific tech role.

• #3

  Generating personalized AI-driven courses for niche technical topics.

• #4

  Tracking learning progress across complex technology stacks.

• #5

  Preparing for technical and system design interviews.

• #6

  Creating custom roadmaps for engineering teams to standardize skill sets.