I got burned three times before I started keeping notes.
The pattern was always the same. Find an AI coding tool. See "free" on the landing page. Spend a weekend integrating it, learning the shortcuts, building it into my workflow. Then three days into real use - wall. Either a paywall I didn't see coming, a credit system I didn't understand, or the sudden realization that "free" meant I was paying Anthropic directly through my own API key anyway.
After the third time I stopped trusting landing pages and started actually tracking the limits.
That turned into a spreadsheet. The spreadsheet turned into a proper dataset. The dataset turned into a library of 135+ AI coding tools at Tolop But before I get to that, here is what I actually found.
"Free" means at least five completely different things
This is the core problem. Every tool uses the same word for completely different realities.
Type 1 - Genuinely unlimited
These exist and most developers don't know about them because the marketing for every tool looks identical.
Gemini Code Assist gives you 180,000 completions per month with nothing more than a personal Gmail account. No credit card. No Google Cloud project. Just sign in and use it. Amazon Q Developer has unlimited inline code completions - not a generous monthly cap, actually unlimited. Supermaven gives you unlimited fast completions on the free tier with no API key required.
These tools are genuinely free for as long as you use them. The catch is that Google and Amazon are not doing this out of generosity - they are buying developer mindshare before the market consolidates. But that is their problem, not yours.
Type 2 - Daily reset limits
Better than monthly caps for how most developers actually work.
Bolt new gives you 150,000 tokens per day that reset every 24 hours. You can burn through it in an intense session but tomorrow you are back to full. Gemini CLI gives you 1,000 requests per day via Google OAuth login - no API key needed, powered by Gemini 2.5 Pro.
The daily reset design is genuinely developer-friendly. You are never permanently locked out. You finish a session, sleep, come back to full credits. Compare this to a monthly cap that runs out on day 12 and locks you out for three weeks.
Type 3 - Monthly caps that run out faster than you expect
This is where most of the pain lives.
GitHub Copilot Free gives you 2,000 completions per month. Sounds reasonable. An active developer accepts 200-500 completions per day. Do the math - 2,000 completions runs out in 4-10 working days, not a month. Trae gives you 5,000 completions per month which is more generous, but only 10 fast premium chat requests per month. The completions last a while. The chat is basically unusable.
Cursor's free tier is the worst offender. They switched to a credit-based system in June 2025 and stopped publishing the exact free allocation. Based on real usage reports it burns through in 1-2 days of active development. Most people find out after they are already integrated.
Type 4 - The API key trap
This one is the most misunderstood and affects some of the most popular tools in the space.
Cline has 5 million VS Code installs. Aider has 36,000 GitHub stars. Continue has 2.4 million installs. Roo Code has 1.29 million installs. All of them are free to install. All of them require your own API key from Anthropic, OpenAI, or Google to actually function.
The tool costs nothing. The inference costs $15 per million output tokens on Claude Sonnet. An active developer running agentic sessions can spend $5-20 per day on API costs. The tool is free. The usage absolutely is not.
This is not a criticism of these tools - they are genuinely excellent and the open source model makes sense. But calling them "free" without that context is misleading.
Type 5 - Trials disguised as free plans
Lovable gives you 5 messages per day. That sounds like a free plan. In practice 5 messages is roughly 15-30 minutes of active building. One debugging session can eat your entire daily allowance. It is a trial with an indefinite start date, not a free plan.
The zero cost stack that actually works
If you are pre-revenue and need to keep AI tooling costs at zero for as long as possible, here is what the data points to:
IDE completions: Gemini Code Assist - 180,000 per month, personal Gmail, no credit card. This alone covers most of what developers use GitHub Copilot for, at 90x the free tier volume.
Terminal agent: Gemini CLI - 1,000 requests per day via OAuth, no API key, powered by Gemini 2.5 Pro. This is the free alternative to Claude Code which requires a minimum $20/month subscription.
Local models: Ollama - run Llama 3, Mistral, Codestral locally with zero ongoing cost. Quality is lower than frontier cloud models but for routine coding tasks it is more than capable and completely private.
This stack covers IDE completions, terminal agentic work, and local privacy-focused inference at $0/month. It is not the most powerful stack available but it is genuinely free and capable enough to build a real product.
Why the generous free tiers will probably get worse
The tools with the most generous free tiers right now - Google and Amazon - are not being generous out of principle. They are in an aggressive land grab phase. Developer tooling is infrastructure. Whoever developers adopt now becomes the default for the next decade.
Once that market share is established the incentive to subsidise free tiers disappears. GitHub Copilot went through exactly this cycle - it was free during beta, then moved to paid. The current generous tiers from Google and Amazon are almost certainly temporary.
The practical implication: if you are going to build your workflow around a tool, build it around one where the free tier generosity comes from a sustainable business model, not a land grab. Self-hosted tools are the most honest answer here because the cost structure is transparent - it is your hardware, your electricity, your choice.
What to actually do with this information
Before adopting any AI tool check three things:
First - does the free tier require your own API key? If yes, calculate what your actual usage would cost per day before committing.
Second - is the limit daily or monthly? Daily resets are dramatically more useful for real workflows than monthly caps that leave you locked out for weeks.
Third - how long has the current free tier been in place and has it changed recently? Tools that have quietly tightened their limits in the last 6 months are likely to tighten them again.
The full breakdown of 135+ tools with exhaustion estimates for light, moderate, and heavy use is at tolop.space. Every entry has a "data as of" date so you can see when it was last verified. Free to browse, no account needed.
Closing thought
The AI tool space is moving fast enough that anything written today will be partially wrong in six months. Free tiers change, tools get acquired, generous limits get tightened. The only reliable strategy is knowing where to check rather than trusting any static list - including this one.
If you find something that looks wrong or a tool that deserves to be on the list, the data is a living document and genuinely open to corrections.
Top comments (0)