Programming

Frequently asked questions

Which programming language should I learn first in 2026?

Python remains the strongest default — gentle syntax, massive ecosystem, and the same language carries you into data analysis, machine learning, and backend web work. If you already know you want to build web UIs, start with JavaScript and TypeScript instead so your learning compounds against the frontend frameworks. Avoid picking based on salary surveys: the language matters less than building two or three finished projects you can talk through in an interview. Whichever you pick, plan to learn a second one within 12 months.

How long does it take to learn programming online?

A consistent hour a day for six months will get you from zero to building small projects unsupervised — Flask apps, scrapers, automation scripts. Hitting the level where a company will hire you as a junior engineer typically takes 12–18 months of that pace, with the last six months focused on a small portfolio of finished work. Bootcamp-style intensives compress this to 4–6 months but ask for 40+ hours a week. Courses on this pillar are graded so you can sample short ones first, then commit to a longer track once you know which area sticks.

Do I need a computer science degree to work as a programmer?

No, and the share of working engineers without one has been growing for a decade. Most product companies now hire on a portfolio plus a technical screen rather than a credential. A degree still helps in three places: top-tier AI labs, low-level systems work (compilers, kernels, databases), and the most competitive new-grad pipelines at FAANG-scale companies. Outside those, demonstrating that you can ship matters more. Two finished projects on GitHub plus contributions to one open-source repo beats a CS minor on a CV.

Frontend, backend, or full-stack — which path pays better?

Backend and full-stack roles pay slightly higher than pure frontend on average, especially once you cross into infrastructure or distributed systems work. The gap is smaller than the internet suggests — senior frontend engineers at product companies regularly out-earn mid-level backend engineers — and the cleaner question is which one you'll actually enjoy enough to get to senior level. Full-stack is the most flexible early on: smaller companies hire it heavily, and it teaches you the shape of a system end-to-end before you specialise.

Are coding bootcamps still worth it in 2026?

For some people, yes — if you need external structure to study consistently and the hiring help they provide. The bootcamp job-placement story is weaker than it was in 2018: the entry-level market is harder, and many graduates now compete with self-taught candidates who finished a comparable amount of online coursework. The honest test is whether you'd finish a 12-month self-paced track without one. If yes, the bootcamp's main value is the network. If no, the structure is worth the price tag.

Will AI replace programmers?

AI has already changed the shape of the job — Copilot, Claude, and Cursor write the boilerplate that used to fill the middle of a workday — but it has not reduced demand for engineers who understand systems. The roles that shrink fastest are the ones that were thin to begin with: junior positions where the work was largely translating tickets into CRUD endpoints. The roles that grow are the ones that require reading a large codebase, designing an API, debugging a production incident, or shipping something the model can't see end-to-end.