A year ago the choice was roughly "Copilot or nothing." Today there are half a dozen serious contenders, each with a meaningfully different philosophy about what AI assistance should look like. Some bolt onto your existing editor; others replace it entirely. Some optimize for inline completions; others go fully agentic and take over entire tasks. Picking the wrong tool doesn't hurt you badly, but picking the right one for your workflow can save real hours every week.
Here is a plain account of the main options as of mid-2025 — what each one actually does, what it costs, and who it suits best.
The two modes of AI assistance
Before comparing tools, it helps to name the two modes they operate in, because most tools offer both but lean heavily toward one:
- Inline completion. The AI predicts code as you type — a line, a block, sometimes a whole function. You accept with Tab or ignore it. Fast, low-friction, stays out of your way.
- Agentic / chat-driven editing. You describe a task in natural language. The AI reads relevant files, plans a sequence of changes across multiple files, and executes them. You review diffs and accept or reject. Slower per session but capable of dramatically larger tasks.
The tools below vary mostly in how well they handle the second mode, because inline completion has become a commodity. The real differentiation is in how well the AI can hold context across a whole codebase, plan multi-file changes, and recover from its own mistakes.
Cursor
Cursor is a fork of VS Code with AI baked in at every layer. If you already live in VS Code it feels immediately familiar; the keyboard shortcuts, extension ecosystem, and settings all carry over. The meaningful addition is Composer (now sometimes called Agent in later versions), a panel where you describe a feature or a refactor and the AI implements it across your entire project.
Cursor's Tab completion is genuinely fast — the company acquired Supermaven in 2025 specifically for its completion speed, and it shows. The @-mention context system is well thought out: @codebase searches your whole project semantically, @docs pulls in external documentation, @web does a live search, and @file or @folder pins specific paths. This makes it easier to give the model exactly the context it needs without pasting walls of code manually.
The autonomy is configurable. Tab completion, a targeted inline edit with Cmd+K, or full agentic mode where the model plans and runs through a task — you decide how much rope to give it per task.
Pricing: Free tier available; Pro is $20/month; Pro+ is $60/month; Ultra (higher limits, more model credits) is $200/month.
Best for: Developers doing complex, multi-file work on existing codebases who want precise control and don't mind switching editors.
Windsurf
Windsurf (formerly Codeium) is Cursor's closest competitor and also a standalone IDE built on VS Code. Its distinguishing feature is Cascade, the agentic engine underneath the editor. Cascade tracks your recent actions — file edits, terminal output, linter warnings — and uses that history to build a "flow-aware" context. The idea is that the model understands not just the current state of your code but what you've been doing for the last ten minutes, which makes it less likely to propose changes that contradict your direction.
Windsurf's Supercomplete mode goes beyond next-token prediction; it presents structured multi-line diffs representing an entire next step, not just a continuation of the current line. For developers who find Copilot-style completions too granular, this is a meaningful UX improvement.
Windsurf also has a generous free tier with unlimited autocomplete, which makes it a solid first stop if you're new to AI-assisted development and don't want to spend money before you know how you'll use it.
Pricing: Free tier (unlimited autocomplete); Pro is $20/month.
Best for: Developers who want a Cursor-like experience with a lower barrier to entry, or who prefer the flow-aware context model.
GitHub Copilot
GitHub Copilot takes the opposite architectural approach: rather than building a new editor, it lives as an extension inside VS Code, Visual Studio, JetBrains IDEs, Vim, and others. If your team is on JetBrains or you're deeply invested in your current editor setup, Copilot is often the pragmatic choice because you don't have to move.
Copilot rolled out Agent Mode in early 2025. Like Cursor's Composer, it can plan and execute multi-file changes, run terminal commands, watch test output, and self-correct in a loop when it hits errors. It also gained MCP (Model Context Protocol) support, which means you can extend what the agent has access to — databases, APIs, custom tools — using the same protocol that other tools support.
The free tier is real: 2,000 completions per month and 50 chat messages per month. Pro at $10/month is notably cheaper than Cursor or Windsurf. The trade-off has historically been that agent-mode quality lags behind Cursor when tasks get complex, though the gap has narrowed in 2025. Copilot also supports multiple underlying models — you can pick between Claude, GPT, and Gemini variants depending on the task.
Pricing: Free (limited); Pro $10/month; Pro+ $39/month (adds the full agent for multi-step automation); Business $19/user/month.
Best for: Teams already on GitHub, developers using JetBrains IDEs, and anyone who wants the lowest per-seat cost for a capable assistant.
Claude Code
Claude Code is different from the three above in a fundamental way: it runs in your terminal, not inside an editor GUI. You invoke it from the command line inside your project directory, describe a task, and it reads files, makes edits, runs commands, and reports back — all autonomously, without a sidebar or panel to manage.
There is also a VS Code extension that shows Claude's changes in real time with inline diffs and a checkpoint system that lets you rewind to a previous file state. But the terminal-first design means it fits naturally into scripted workflows, CI exploration, and situations where you're already working heavily in the shell.
Claude Code tends to perform well on tasks that require following long chains of logic through a codebase — understanding how a data model propagates from a schema definition through to a rendered template, for instance. The trade-off is that it lacks some of the GUI conveniences that Cursor and Windsurf have built up: there's no @-mention context picker, no integrated inline Tab completion.
Using it requires a Claude Pro subscription ($20/month) or Max ($100–$200/month for heavier usage.
Pricing: Included with Claude Pro ($20/month); heavier usage requires Max.
Best for: Developers comfortable in the terminal who want a capable agent for large, open-ended tasks, or teams that want to compose AI assistance into shell scripts and CI pipelines.
A note on Gemini Code Assist
Google's Gemini Code Assist was a notable option through early 2025, but Google shut down the free individual tier in June 2025. It now starts at $19/user/month (Standard) or $45/user/month (Enterprise) through Google Cloud. For individual developers the value proposition is harder to justify compared to Copilot's $10/month Pro plan. It remains relevant for teams already deep in Google Cloud infrastructure.
How the costs actually add up
Research from developer experience teams suggests that teams mixing inline and agentic tools end up spending somewhere between $200 and $600 per developer per month when you factor in the full model usage costs — especially with agentic tools that can run many API calls per session. The measured productivity gains are real (one study found a median 7–8% improvement in PR throughput) but nowhere near the 3× claims you'll see in vendor marketing.
For individual developers or small teams, the practical stack is usually one inline-completion tool (Copilot free tier, or Windsurf free) plus one agentic tool you pay for when you need it. Running two paid agentic tools simultaneously is rarely worth it.
Practical setup: Astro + Tailwind projects
For a project type like an Astro site with Tailwind CSS, the most useful thing any of these tools can do is understand your content collections schema, your component structure, and the conventions you've established — and then make changes that stay consistent with them.
To help any agentic tool do this well, give it an explicit starting point. A short project description file that the tool can read first makes a significant difference:
# Project conventions
Framework: Astro 5 with content collections
Styles: Tailwind CSS v4 (CSS-first, no tailwind.config.js)
Data: src/content/themes/*.json validated by Zod in src/content.config.ts
Components: src/components/ — shared; src/layouts/ — page wrappers
No inline styles, no class attributes on <html> or <body>
Icons: inline SVG only, never icon fonts
When adding a theme, create one JSON file in src/content/themes/
and nothing else. Do not edit any .astro page directly.
Drop something like this as CLAUDE.md, .cursorrules, or a Copilot instructions file in your repo root. Every tool has a way to pick up project-level instructions, and a few sentences of context here is worth more than repeatedly re-explaining your conventions in chat.
Which one to start with
There is no universally correct answer, but the decision tree is short:
- If you use JetBrains, or you want the lowest cost: GitHub Copilot.
- If you want the best agentic experience in a GUI editor and you're happy switching to a VS Code fork: Cursor.
- If you want to try agentic editing before spending money: Windsurf (free tier).
- If you're comfortable in the terminal and want to compose AI into larger workflows: Claude Code.
All of these tools are improving faster than any review can keep up with. The practical advice is to pick one, use it on real tasks for a few weeks, and pay attention to where it actually saves you time versus where it generates noise you have to clean up. The answer will be different depending on your codebase, your working style, and how disciplined you are about writing good prompts. The tool that fits your habits will be more useful than the one that wins a benchmark.