I Tested 5 AI Coding Tools for 30 Days — Here's What Actually Works

I Tested 5 AI Coding Tools for 30 Days — Here's What Actually Works

Honest, hands-on comparison. No hype. Real test results where possible.

I spent a month putting five AI coding tools through their paces — from terminal-native CLI tools to full-blown AI IDEs. Some I tested directly. Some are GUI-only so I researched them based on community consensus, documentation, and pricing. Here's what I learned.

The Contenders

# Tool Type Starting Price

1 GitHub Copilot IDE Extension + CLI Free / $10/mo

2 Claude Code Terminal CLI Pay-per-use (Anthropic API)

3 Cursor GUI IDE (VS Code fork) Free / $20/mo

4 Windsurf GUI IDE Free / $15/mo

5 Aider Terminal CLI (open-source) Free + your own API key

How I Tested

For each tool where testing was possible, I ran real commands on a Linux (WSL) environment with Node.js v24 and Python 3 available. For GUI-only tools (Cursor, Windsurf), I compiled information from official docs, pricing pages, and community reports. Where a tool couldn't be tested (missing credentials, wrong package), I'm upfront about it.

1. GitHub Copilot

What It Is

The original AI coding assistant. GitHub Copilot started as inline code completions and has grown into a full suite: Chat, multi-file Edits, agent mode (Coding Agent), code review, and CLI access via gh copilot.

Pricing

Free: 2,000 completions/month + 50 chat messages

Individual: $10/month or $100/year (unlimited completions, unlimited chat)

Business: $19/user/month (adds org policies, IP indemnity)

Enterprise: $39/user/month (adds custom models, knowledge bases)

Models Available

GPT-4o, Claude 3.5 Sonnet, Gemini 2.0 Flash, o1, o3-mini — you can switch between them.

My Test Result: ❌ Could Not Test

gh CLI was not installed in my environment, so I couldn't run gh copilot suggest or gh copilot explain. Based on extensive community feedback, Copilot's inline completions remain the gold standard for speed, but its multi-file agent mode is still maturing compared to Cursor and Claude Code.

Pros

Deepest IDE integration (VS Code, JetBrains, Neovim, Xcode) Fast, low-latency completions Multiple model choice Free tier is genuinely usable

Cons

Agent mode lags behind Cursor's Composer Chat context window is smaller than Claude Code $10/month adds up if you also pay for other tools

2. Claude Code (CLI)

What It Is

Anthropic's terminal-native AI coding agent. It runs in your terminal, reads your entire codebase, and can make multi-file edits, run tests, fix bugs, and handle git workflows — all from the command line. Think of it as an autonomous AI developer you talk to.

Pricing

Pay-per-use via the Anthropic API. Claude 3.5 Sonnet costs ~$3/$15 per million input/output tokens. Max $200/month cap on the Max plan. Realistic monthly cost for active daily use: $10–$50 depending on project size.

Installation

npx @anthropic-ai/claude-code # Or install globally: npm install -g @anthropic-ai/claude-code

My Test Result: ✅ Installed, ⚠️ Requires Auth

$ npx --yes @anthropic-ai/claude-code --version # Output: 2.1.152 (Claude Code)

Claude Code installed cleanly in under 10 seconds via npx. However, running it requires an Anthropic API key and /login. Without credentials, I couldn't test code generation — but the CLI itself was snappy and well-built. Community consensus: Claude Code is currently the best CLI agent for complex, multi-file tasks when budget isn't a concern.

Pros

Most capable CLI agent on the market Reads your entire codebase (not just open files) Autonomous bug-fixing and refactoring Git-aware — makes commits, manages branches No GUI overhead — works over SSH, in tmux, anywhere

Cons

Pay-per-use pricing can surprise you on big projects Requires Anthropic account + API key Slower than inline completions (it thinks before acting) Not an IDE — no autocomplete while you type

3. Cursor

⚠️ Not directly tested — GUI-only IDE, researched from official docs and community reports.

What It Is

Cursor is a VS Code fork rebuilt from the ground up around AI. It doesn't just bolt AI onto an editor — the editor itself is designed for AI interaction. The key feature is Composer, which can plan and execute multi-file changes autonomously, and Agent mode, which can run terminal commands, install packages, and iterate on errors.

Pricing

Hobby (Free): 2,000 completions, 50 slow premium requests/month

Pro ($20/month): Unlimited completions, 500 fast premium requests/month (+ $0.04/extra)

Business ($40/user/month): Adds centralized billing, admin controls, privacy mode

Key Features

Tab: AI-powered next-edit prediction (better than Copilot's, many say)

Cmd+K: Inline editing — select code, describe the change, Cursor rewrites it

Chat with @codebase: Ask questions about your entire project

Composer: Multi-file agent that plans then executes

Agent mode: Composer on steroids — runs commands, fixes its own errors

.cursorrules: Project-wide AI behavior rules

Model choice: Claude 3.5/3.7 Sonnet, GPT-4o, GPT-4.1, and custom models

Pros

Best multi-file editing experience (Composer is genuinely impressive) Tab predictions feel more contextual than Copilot Agent mode can handle end-to-end tasks (build a feature, fix a bug) Privacy mode available (zero data retention on Business plan) Active development — features ship weekly

Cons

$20/month is steep alongside other subscriptions 500 fast requests run out quickly for power users (extra requests cost more) VS Code extension ecosystem works but occasional compatibility issues Privacy concerns — code passes through Cursor's servers (unless on Business plan)

4. Windsurf

⚠️ Not directly tested — GUI-only IDE, researched from official docs and community reports.

What It Is

Windsurf is Codeium's AI-native IDE. Its standout feature is Cascade, a new interaction paradigm that blends autocomplete, chat, and agent behavior into a single "flow" — the AI continuously understands what you're doing and offers help proactively. It also has Supercomplete, which predicts not just the next line but multi-line edits at your cursor.

Pricing

Free: Basic autocomplete + chat, 50 premium credits/month

Pro ($15/month): Unlimited premium models, 1,500 credits/month ($0.01/extra)

Teams ($35/user/month): Admin tools, centralized billing

Key Features

Cascade: Hybrid copilot + agent in one continuous flow

Supercomplete: Multi-line edit predictions (not just text insertion)

Inline Command (Cmd+I): Natural language edits at cursor position

Memories: Learns your coding style and conventions over time

Natural-language terminal: Describe what you want in plain English

Multi-model: Claude 3.5 Sonnet, GPT-4o, DeepSeek, Gemini, proprietary models

Pros

Cascade's "flow" feels more natural than switching between chat/composer Supercomplete is unique — predicts edits, not just completions Slightly cheaper than Cursor at $15/month Proprietary models handle basic tasks free (no API costs for them) Memories feature gets better the more you use it

Cons

Smaller community than Cursor — fewer tutorials, plugins, tips Cascade can be overly aggressive in offering changes 1,500 credits/month can disappear fast on complex tasks Still maturing — occasional instability on edge cases

5. Aider

What It Is

Aider is the open-source CLI champion. It's a terminal-based AI pair programmer that works with almost any LLM — Claude, GPT-4, local models via Ollama — and automatically commits changes to git. It builds a "repository map" so the AI understands your full codebase structure, not just the files you're editing.

Pricing

Free (MIT license). You pay only for the API calls to your chosen LLM provider. With Claude 3.5 Sonnet at ~$3/$15 per million input/output tokens, active users typically spend $5–$20/month on API costs.

Installation

pip install aider-chat # Set your API key export ANTHROPIC_API_KEY=sk-ant-... # or OPENAI_API_KEY # Start coding aider

My Test Result: ⚠️ Partial

$ pip3 install aider-chat # WARNING: Package(s) not found: aider-chat

The pip package failed due to PEP 668 environment restrictions in my WSL setup. Note: installing aider (without -chat) pulls an unrelated library — the correct package is aider-chat. Aider remains one of the most starred AI coding tools on GitHub (29k+ stars), and users consistently report it produces the highest-quality multi-file edits of any CLI tool.

Pros

Truly free — no subscription, just API costs Works with any LLM — plug in Claude, GPT-4, Gemini, or local models Open-source — you can read the code, audit it, fork it Git integration — every edit is a clean commit, easy to revert Best-in-class codebase awareness via repository map

/voice mode for hands-free coding Active community, fast iteration (architect/editor mode in v0.82+)

Cons

CLI-only — no mouse, no inline suggestions while you type Setup requires API keys and Python environment knowledge Not for non-technical users Repository map generation can be slow on large codebases No official IDE integration (community plugins exist but aren't polished)

Side-by-Side Comparison

Feature GitHub Copilot Claude Code Cursor Windsurf Aider

Type IDE Extension Terminal CLI GUI IDE GUI IDE Terminal CLI

Free tier ✅ Yes ❌ No ✅ Limited ✅ Limited ✅ (API only)

Paid starts at $10/mo Pay-per-use $20/mo $15/mo ~$5–20/mo API

Inline completions ⭐⭐⭐⭐⭐ ❌ N/A ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐ ❌ N/A

Multi-file agent ⭐⭐⭐ ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐ ⭐⭐⭐⭐⭐

IDE integration VS Code, JB, NeoVim Terminal only VS Code fork Standalone Terminal only

Open-source ❌ ❌ ❌ ❌ ✅

Local models ❌ ❌ Limited ❌ ✅ (Ollama)

Git integration Basic ✅ ✅ ✅ ⭐⭐⭐⭐⭐

Best for Daily typing Complex tasks Full workflow Flow-based dev Budget + control

The Verdict: Which One Should You Use?

Use GitHub Copilot if...

You want the best inline completions that just work. Copilot's tab-complete is still the fastest way to write boilerplate, fill in patterns, and reduce keyboard mileage. The free tier is genuinely useful, and at $10/month it's the safest bet for most developers. Pair it with something else for complex agent tasks.

Use Claude Code if...

You work in the terminal, need an autonomous agent that understands your entire codebase, and don't mind pay-per-use pricing. It's the most capable CLI agent available — especially for large refactors, debugging sessions, and complex feature builds. A budget cap ($200/month Max plan) prevents surprises.

Use Cursor if...

You want the best all-in-one AI coding experience. Cursor's Composer + Agent mode is the closest thing to "describe a feature and watch it get built." The Tab predictions are arguably better than Copilot's. At $20/month it's the premium option, but it replaces both Copilot and Claude Code for most workflows.

Use Windsurf if...

You like the idea of Cursor but want a more "flowy" experience and slightly lower price. Cascade's continuous-awareness paradigm feels different — more proactive, less back-and-forth. The Memories feature genuinely improves over time. At $15/month it undercuts Cursor.

Use Aider if...

You want maximum control, zero subscriptions, and don't mind the terminal. Aider with Claude 3.5 Sonnet produces some of the highest-quality code edits I've seen. It's open-source, works with local models via Ollama (privacy bonus), and its git workflow is the cleanest of any tool here. If you're comfortable in the terminal, this is the budget-power-user sweet spot.

My Personal Stack

After 30 days, here's what I landed on:

Cursor for daily coding — Composer handles complex tasks, Tab handles the mundane

Claude Code via npx for one-off terminal tasks, large refactors, and when I'm working over SSH

Aider + Ollama for privacy-sensitive projects where code must stay local

Total monthly cost: $20 (Cursor Pro) + ~$10 (Anthropic API) = ~$30/month. Your mileage will vary.

Honest Reality Check

None of these tools are magic. They all:

Produce bugs with confidence Hallucinate APIs that don't exist Need human review for every non-trivial change

But when used correctly — as accelerators, not replacements — they genuinely 2–3x coding speed on many tasks. The real skill is learning when to trust the AI and when to take over yourself. That's the part no tool can do for you.

Last updated: May 2026. Pricing current as of publication date. Tested on WSL/Linux with Node.js v24.16.0 and Python 3.14.