Can I use all three at once, or must I pick one?
You can use them together, and many people do mix them. They solve different pain points and aren't mutually exclusive. A common combo: Copilot or Cursor in the editor for fast daily writing, switching to Claude Code when there's a whole larger task to hand off.
That said, at the start, focus on one - learn it well, map its strengths and weaknesses - before adding a second. Installing all three at once tends to leave you half-fluent in each, missing their individual value. Build one primary tool, then fill gaps as they appear.
I'm a beginner still learning to code - which should I pick?
Watch one trap: too much automation isn't necessarily good for learning. If you're building fundamentals and the tool one-clicks a whole section, you may skip the parts you actually need to understand.
For beginners, completion tools (like Copilot) are gentler - they complete the "next line" and you still watch each line emerge, with more chance to understand. Agentic tools (Claude Code) can produce a big chunk at once, highly productive but prone to "runs but I don't get it" for learners. While learning, treat AI as a tutor that answers questions and explains code, not a contractor that writes it for you - that keeps your foundation solid.
Claude Code runs in the terminal and I'm not familiar with the command line - is the bar high?
Lower than you'd think, though it does take some adjusting. Claude Code's interaction is mostly natural-language task instructions, not memorizing commands; the actual command-line use is mostly basic open-the-project and run actions.
If you've never touched a terminal, the first day or two feel unfamiliar, but this learning curve isn't steep. What needs more adjusting is the mental shift: from "I write each line myself" to "I state the goal and review its result." Accept that change in working style and the small command-line bar is crossed quickly.
Advanced: how do I compare these three objectively, not by feel?
The key is building your own small benchmark. Pick three to five real tasks representative of your daily work (not toy examples) - "fix a bug spanning three files," "add a feature with tests," "refactor an old section."
Do each with every tool and record three numbers: actual time spent, how many correction round-trips, and how satisfied you are with the output. The tasks must be close to your real codebase, because a tool's performance on clean examples versus a real messy project can differ a lot.
Don't over-trust generic review scores online - those came from someone else's workload. Only you can measure yours. Judgment built from three real tests is far more reliable than any leaderboard.
"Which AI coding tool should I use" is one of 2026's most-asked questions, and the answer is almost always "depends on how you work." This piece won't hand you a single winner; it'll help you see that Claude Code, Cursor, and GitHub Copilot are fundamentally different kinds of tools suited to different people. One premise up front: any "saves you X% of time" claim should be verified against your own workload, because codebases and habits vary enormously.
GitHub Copilot is built around "complete as you type": you write code in your editor and it guesses your next line in real time; press Tab to accept. It interrupts your existing rhythm least and suits you when you already know what to write and just want to type it faster.
Cursor is an "editor designed for AI": beyond completion, you can chat to have it edit across multiple files and explain whole sections. It sits between completion and agent, suiting those who want AI woven deeper into the workflow inside a familiar editor.
Claude Code goes furthest - an agentic tool running in the terminal. You give a goal - "add tests to this feature and fix what's broken" - and it reads the code, edits multiple files, runs tests, and reports back. It suits people willing to hand off a whole task and review the result.
The judgment shouldn't start from "which has more features" but from "how you normally code." If you mostly produce quickly in familiar code and don't want interruption, Copilot's completion is smoothest. If you often need AI to understand relationships across files and make cross-file edits, Cursor's editor experience saves more effort. If your pain point is "I want to throw a whole task over and just review," Claude Code's agentic mode is the right tool.
When comparing cost, the subscription is just one piece. Agentic tools (like Claude Code) use more compute on large tasks, so a long task's real cost may exceed expectations; completion tools are relatively predictable. What you should actually compute is how much verifiable time the tool saves per week on your real tasks, set against its total cost. "It's so fast" without measured numbers is just a feeling.
The cost of choosing wrong isn't wasted money but forcing your work habits into an ill-fitting mode, ending up awkward and slower. The practical move: pick a real medium task you have this week, do it once with each of two candidates, and note the actual time spent and how many times you had to correct it. One or two real tests tell you more than ten reviews. Tools keep updating, but "verify against your own workload" as a method never goes out of date.