A Beginner's Guide to AI Coding Assistants

AI coding assistants have moved from suggesting the next line of code to planning changes across whole projects, running commands and opening pull requests. For a beginner, that is both exciting and confusing: there are editor plugins, full AI-first editors, terminal agents and cloud agents, all with overlapping names and credit systems. This guide explains the main types, introduces the best-known tools with prices checked on official pages in October 2026, and offers practical advice for using them without picking up bad habits.

What an AI coding assistant actually does

Most tools combine some or all of these capabilities:

Inline completions: as you type, the tool suggests the rest of a line or block. You accept with a key press (often Tab).
Chat: you ask questions about your code ("why does this function return null?") and get explanations or fixes.
Agent mode: you describe a task ("add input validation to the signup form and write tests") and the assistant edits multiple files, runs commands and reports back for your review.
Cloud or background agents: the assistant works on a task in a remote environment while you do something else, typically delivering a pull request.
Code review: the tool comments on pull requests and flags likely bugs.

The three main types of tools

1. Plugins for the editor you already use

These add AI to editors such as Visual Studio Code, Visual Studio or JetBrains IDEs. GitHub Copilot is the best-known example. The advantage is that you keep your familiar setup.

2. AI-first editors

These are complete editors designed around AI, usually built on the open-source foundations of VS Code so extensions and shortcuts feel familiar. Cursor and Devin Desktop (formerly Windsurf) are in this group.

3. Terminal and general-assistant agents

Some general AI subscriptions now include coding agents that run in your terminal or in the cloud. Anthropic includes Claude Code in all paid Claude plans, and OpenAI includes its Codex coding agent in paid ChatGPT plans.

The main tools, with October 2026 pricing

GitHub Copilot

GitHub describes Copilot as integrating with Visual Studio Code, Visual Studio, JetBrains IDEs and Neovim, as well as being built into GitHub itself. Its plans page lists agent mode across VS Code, Visual Studio, JetBrains, Eclipse and Xcode, MCP server integration and custom instructions, even on the free tier.

Free: $0, with limited chat and agent usage.
Pro: $10/month.
Pro+: $39/month.
Max: $100/month.

Usage is measured in "GitHub AI Credits": chat, agent mode, code review, the cloud agent and the CLI all consume them. Paid plans include assigning work to Copilot so that it creates a pull request. GitHub also notes that verified students, teachers and open-source maintainers may have access to Copilot Pro through eligibility programmes; check GitHub's education pages if that applies to you.

Cursor

Cursor is an AI-first editor. Its pricing page lists:

Hobby: free, no credit card, limited agent requests.
Pro: $20/month, with extended agent limits, access to frontier models, MCPs, skills and hooks, and cloud agents.
Pro+: $60/month and Ultra: $200/month for heavier agent use.
Teams: $40 per user per month, adding central billing, SSO, team-wide privacy mode and Bugbot code reviews.

Every plan includes a set amount of model usage; Cursor says on-demand usage beyond that is billed in arrears.

Devin Desktop (formerly Windsurf, originally Codeium)

If you remember Codeium or Windsurf, the product has changed hands and names. Cognition, the company behind the Devin agent, announced its acquisition of Windsurf in July 2025, and on 2 June 2026 relaunched the Windsurf editor as Devin Desktop. Cognition says existing plans, settings and extensions carried over. The windsurf.com pricing page now redirects to Devin's pricing, which lists:

Free: a light agent quota, limited model availability, unlimited inline edits and unlimited Tab completions.
Pro: $20/month, with increased quotas, full model availability and access to Devin Cloud agents.
Max: $200/month.
Teams: $80/month for the team plan plus $40/month per full developer seat.

Claude Code and OpenAI Codex

If you already pay for a general assistant, check what coding features it includes. Anthropic's pricing page states Claude Code is included in all paid Claude plans (Pro from $17/month billed annually or $20 monthly) and shares the same usage pool as chat. OpenAI lists expanded Codex usage on ChatGPT Plus and Pro. Google lists its Jules coding agent and Google Antigravity development platform among Google AI Pro benefits.

How to choose as a beginner

You are learning to code: start with a free tier inside the editor your course uses. Turn completions off for exercises where the point is to practise (see below).
You already use VS Code or JetBrains and like it: try GitHub Copilot Free first.
You want the AI to do larger multi-file tasks: try Cursor's or Devin Desktop's free tiers and compare agent quality on a small real project.
You already pay for Claude or ChatGPT: try Claude Code or Codex before adding another subscription.
You work in a company: ask what is approved. Many organisations restrict which assistants can see their code.

Using AI assistants without hurting your learning

For beginners, the biggest risk is not bad code; it is skipping the understanding. Some habits that help:

Ask for explanations, not just answers. "Explain why this loop never ends" teaches more than "fix this".
Write it yourself first on practice tasks, then ask the AI to review your version.
Read every change before accepting it. If you cannot explain a line, do not commit it.
Run the tests, and ask the assistant to write tests for code it generated.
Follow your course rules. If an assignment forbids AI help, respect that; academic integrity rules apply to code too.

Security and privacy basics

Never paste secrets such as API keys, passwords or private customer data into prompts.
Check privacy settings. Cursor lists a team-wide privacy mode on Teams; Claude's consumer plans let you opt out of model training; business tiers of most tools offer stronger defaults.
Review agent permissions. Agents that can run terminal commands should ask before doing anything destructive. Keep auto-run off until you trust the setup.
Watch dependencies. AI tools sometimes suggest packages that are outdated or do not exist. Verify package names on the official registry before installing.
Licences still matter. If you contribute to open source or ship commercial software, follow your project's policy on AI-generated code.

Understanding credits and usage limits

Pricing is increasingly usage-based. GitHub uses AI Credits; Cursor and Devin include an allowance and then charge extra usage; Claude shares one usage pool across chat and Claude Code with rolling five-hour and weekly limits. For a beginner, the free tiers are usually enough to learn. If you upgrade, start with the lowest paid tier for a month and watch your usage dashboard before moving up.

A short glossary

Context: the files, instructions and history the assistant can "see" when answering. More relevant context usually means better suggestions.
MCP (Model Context Protocol): an open standard that lets assistants connect to external tools and data sources, such as a database or issue tracker.
Pull request (PR): a proposed set of changes that someone reviews before it is merged into the main code.
Frontier model: vendors' term for their most capable, usually most expensive, AI models.

Bottom line

Start free, inside an editor you are comfortable with, and use the assistant to understand code rather than just produce it. GitHub Copilot is the easiest add-on for existing editors, Cursor and Devin Desktop offer AI-first editing with stronger agents, and Claude Code or Codex may already be included in a subscription you own. Compare more options in our best AI coding tools category, and see AI chatbots for general assistants that also help with code.