NEW YORK, September 24, 2026 — GitHub Copilot is the most widely adopted AI coding assistant, according to a new guide published by Hostinger on September 18, and the biggest shift for it in 2026 is a move to usage-based billing with AI credits.
That’s the headline from “22 best AI coding tools,” a sixteen-minute read by Simon L. that catalogues the leading AI coding tools of the year across three broad categories: AI-powered code editors that work alongside the developer, AI agents that plan and execute complex engineering tasks, and AI-first builders that produce a fully working app from a text prompt. Here’s what it means, in plain terms.
Copilot still works inside VS Code, JetBrains, Neovim, and Visual Studio, offering real-time code suggestions as you type. What changed this year is how you pay for the heavier features. Code completions and Next Edit Suggestions remain unlimited, but chat, agent mode, code review, and other AI features now consume GitHub AI Credits.
All paid plans include access to a broad model catalog spanning the GPT-5.x series, Gemini, and Claude models. Think of it like a phone plan where calls are free but data isn’t.
The everyday stuff — the autocomplete that finishes your line — costs nothing extra. The moment you ask Copilot to reason through a problem, review a pull request, or run a multi-step task on its own, you’re drawing on a metered pool.
The three lanes of AI coding
Hostinger’s list runs from its own AI Builder at number one through GitHub Copilot, Cursor AI, Devin Desktop (formerly Windsurf), Bolt.new, Tabnine, Qodo, OpenAI Codex, Replit, Blackbox AI, ChatGPT, Claude Code, Devin AI, Lovable, DeepSeek, Kiro, Builder.io, AskCodi, CodeGeeX, StarCoder2, Tabby, and Sourcegraph. The guide’s advice on picking one comes down to experience and project type. Experienced developers will get the most from Cursor, GitHub Copilot, or Claude Code.
Cursor replaces the editor with an AI-native IDE built on VS Code’s foundation that understands entire project structure, refactors across files, fixes bugs spanning components, and generates code that fits existing patterns. Its pricing uses a dual-pool model, with an Auto pool for everyday tasks and a separate API pool for premium models.
For teams that want a fully autonomous AI engineer handling end-to-end development tasks, Devin AI stands out. Tools like Replit sit in between, offering code generation with built-in learning and deployment.
Building without code
At the other end sit the AI-first builders. Hostinger AI Builder creates functional web apps from plain-language prompts, generating both frontend and backend, allowing one-click testing and publishing without writing code, and including an integrated backend for user accounts, secure logins, and dynamic data. Its paid plans include fast and secure web hosting, a free custom domain for the first year, and email mailboxes.
It’s pitched at non-technical founders, small business owners, and anyone wanting to turn an idea into a working web app without managing code or backend setup. The guide also carries sections on the most important criteria for choosing an AI coding tool, which tool is best for vibe coding, what can be built with vibe coding tools, and how to get the most value from them.
Hostinger’s developer ecosystem, referenced alongside the list, includes a connector for Cursor, Claude, or any MCP client, Hostinger Headless, application hosting, Hostinger CLI, Agentic Mail, Hostinger Mail API & CLI, an AI router offering one API for every LLM, and the Hostinger SDK. What to watch next: whether usage-based credits spread to rival assistants, and whether the autonomous-agent lane keeps pulling developers away from the editor entirely.
