Practical Guide to Starting with Free AI Coding Tools

Your Company Won’t Pay for Cursor?

Everyone around you is talking about using Cursor, Claude Code, and such, but your company won’t pay for AI tools. Sound familiar?

I was in exactly this situation at my previous job. When I told my manager that “AI coding tools can double productivity these days,” the response was “we’ll review the budget first,” and that review had been “in progress” for six months.

jojoldu mentioned a similar story, concluding that the key is ultimately “what can I use right now?” He’s right. While you wait six months, others are already coding with AI.

So I compiled this guide. Free AI coding tools you can start using today without spending a dime or getting company approval.

Completely Free Tools

Let’s start with tools you can use immediately after signup.

Codeium (now Windsurf)

Provides free autocomplete for individual users. You can install it as a plugin in almost every IDE including VS Code and JetBrains.

I tried it first on personal projects, and the code autocomplete quality was quite good. You really feel the difference when writing boilerplate code.

• Pros: Supports almost all IDEs, unlimited free autocomplete
• Cons: Limited chat features, advanced functions require payment

Continue

Open-source AI coding assistant. Runs on VS Code and JetBrains, and you can freely configure it with local LLMs or direct API key connections.

If your company has strict security policies where external APIs are completely blocked, being able to use local models is a huge advantage.

• Pros: Open source, completely free with local models, high flexibility
• Cons: Need to set up models yourself, initial configuration required

Cline

An autonomous AI coding agent that runs in VS Code. While Continue focuses on autocomplete/chat, Cline goes a step further.

It handles file creation/modification, terminal command execution, and even browser automation. The structure requires user approval at each step, making it safe.

It’s open source and free for personal use. Uses the BYOK (Bring Your Own Key) method, connecting your API keys (Anthropic, OpenAI, Google, etc.), so you only pay API costs. You can essentially use it for free by connecting APIs with free credits.

• Pros: Agent-level functionality, transparent operations, open source
• Cons: Separate API costs due to BYOK, expensive for heavy tasks

It’s evaluated as more “agent-like” than Continue and more transparent than Cursor.

GitHub Copilot Free

Provides 2,000 monthly autocompletions and 50 chat interactions. You just need a GitHub account.

Honestly, 50 chat interactions get used up in a day or two, but 2,000 autocompletions isn’t bad for light usage.

• Pros: 5-minute start with just GitHub account, stable quality
• Cons: 50 chats consumed quickly, limited model selection

Amazon Q Developer

Has a personal free tier. If your company uses AWS, you can start without separate contracts, lowering the adoption barrier.

• Pros: Optimized for AWS environment, no separate contract needed
• Cons: Requires AWS account, monthly limits

Tools Sufficient with Free Tier Only

Not completely free, but quite usable within free limits.

Cursor Free

Gives 2,000 monthly autocompletions and 50 premium requests. You get a 14-day Pro trial first, so the strategy is to use it intensively during this period to get a feel for it, then switch to the free plan.

I also started by installing Cursor on my personal laptop for side projects when blocked at work.

Claude Code

Since it’s based on Anthropic API credits, the free limit isn’t clearly defined, but you can experience terminal-based coding with the credits provided at signup. Good for understanding what agentic coding feels like.

Free Tier Comparison by Tool

Strategy for Personal Start Without Company Persuasion

Actually, the most realistic approach is this: don’t wait for the company, start personally first.

1. Attach free tools to personal projects— If you don’t have side projects, create one. Whether it’s a TODO app or blog, anything works. Attach Copilot Free or Codeium and try it for just two weeks.

2. Record actual productivity improvements— Not “I tried AI tools and they were good,” but collect specific numbers like “boilerplate writing time reduced from 30 minutes to 5 minutes.” This becomes your weapon when proposing to the company later.

3. Share naturally with the team— Casually show it during pair programming, or lightly bring up “I tried it personally and got these results” in team retrospectives. Bottom-up adoption is often faster than top-down.

As jojoldu recommended, proposing AI tools on platforms the company already uses (AWS, JetBrains) lowers adoption hurdles. No new vendor contracts needed.

The Gap Widens If You Don’t Start Now

Looking at JetBrains Developer Reports, AI tools are no longer experimental add-ons but have become part of daily workflow. They’re used across the board for code writing, refactoring, testing, and documentation.

“Can’t use it because the company won’t provide it” is no longer a valid excuse. You can start sufficiently with free tools, and that experience becomes the foundation for introducing paid tools later. Install just one after work today. If you don’t know what to choose, I recommend starting with GitHub Copilot Free. Takes 5 minutes if you have a GitHub account.

What AI coding tools are you currently using? Are you getting company support, or using them personally?

In the next post, I’ll cover how to use multiple AI coding agents simultaneously with GitHub Agent HQ.

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