26 roadmaps, written like someone who has done the job

Build and ship server-side systems: APIs, databases, and the fundamentals interviewers actually probe.

The general software engineering path most campus processes hire for: strong DSA, solid core CS, one language you own.

Build the interfaces people actually touch: HTML, CSS, JavaScript, TypeScript, React, and the browser knowledge behind them.

Own a feature end to end: interface, API, database and deployment.

Build apps people carry, one codebase shipping to both stores: Flutter or React Native, real state management, and something published.

Build native Android apps in Kotlin: UI, lifecycle, data and a published artefact.

Build native iOS apps in Swift 6: SwiftUI, state, concurrency, offline data and one app polished enough to judge in thirty seconds.

Build and ship games: one engine learned properly, real game loops, and playable builds anyone can open in a browser.

Build on-chain systems: smart contracts, the cryptography under them, and the security mindset the money demands.

Turn messy data into decisions: SQL, statistics and visualisation that a business actually acts on.

Build the pipelines everything else depends on: ingestion, transformation, warehousing and orchestration.

Build systems that learn: the maths, the modelling, and the engineering that gets a model into production.

Answer hard questions with data: statistics, experimentation, modelling, and the storytelling that makes it land.

Turn company data into dashboards and reports people actually run their week on.

Make software ship and stay up: Linux, networking, automation, CI/CD, containers, Kubernetes and one cloud, learned in that order.

Find and fix what attackers would exploit: networking, systems, web vulnerabilities and secure development.

Design, configure and troubleshoot the networks everything else runs on: routing, switching, firewalls, and the labs and scripts that prove you can do it.

Find what breaks before users do: testing fundamentals, automation, and the engineering skill to build test systems.

Make complex systems understandable: developer documentation, guides and references that actually get used.

Make machine learning reliable in production: pipelines, deployment, monitoring and retraining.

Keep systems fast, available and debuggable - with software, not heroics.

Build security into the pipeline instead of bolting it on: automated checks, secure defaults, fast feedback.

Represent developers inside the company and the company to developers: content, talks, docs and community.

Decide what gets built and why, and be accountable for whether it mattered.

Move from building the thing to deciding how the thing should be built, and being accountable for that decision.

Move from being responsible for your output to being responsible for a team's outcomes.