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I Tried OpenCode — The Free Coding Agent With 160K Stars — Here's My Honest Review

OpenCode is currently the #1 trending coding agent with over 7.5M developers using it. But does it actually live up to the hype? I spent a week building real projects with it, and here is my completely honest, unfiltered review.

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I Tried OpenCode — The Free Coding Agent With 160K Stars — Here's My Honest Review

The Hype is Real, But I Was Skeptical

If you've been on Developer Twitter or Reddit recently, you couldn't possibly have missed it. OpenCode. The open-source AI coding agent that seemingly appeared out of nowhere and amassed a staggering 160,000 stars on GitHub faster than React or Vue ever did.

Everyone is talking about how it's the "Copilot killer," the "Cursor replacement," and the tool that will finally make us all 10x developers. With a reported 7.5 million developers currently using it, the FOMO was getting real. But as someone who has been burned by overhyped AI tools before (remember when we thought Devin was going to take our jobs on day one?), I was highly skeptical.

So, I decided to put my money—or rather, my time—where my mouth is. I uninstalled GitHub Copilot, closed my Cursor IDE, and committed to using OpenCode exclusively for an entire week. No safety nets. Just me, my codebase, and the open-source agent everyone is losing their minds over. Here is my honest, unvarnished review of what it's actually like to use OpenCode in the trenches.

First Impressions and Setup: Shockingly Smooth

First Impressions and Setup: Shockingly Smooth

Let's start with the setup. Open-source tools are notoriously finicky to get running. I fully expected to spend three hours fighting with Python dependencies, Docker containers, and vague environment variables. I was wrong.

Setting up OpenCode was beautifully, almost terrifyingly simple. They have a standalone desktop app, but I opted for the VS Code extension since that's where I live.

ext install opencode.opencode-agent

Once installed, it asked for permission to index my workspace. I pointed it at a fairly complex Next.js codebase (about 50,000 lines of code) expecting it to choke. It chewed through the whole thing in under 40 seconds. By default, it connects to their free hosted tier (which uses a quantized, hyper-fast version of Llama-3-70B under the hood), but you can easily swap it to local models via Ollama if you're working on highly sensitive code.

The UI sits quietly in your sidebar. No flashy popups, no annoying "Did you mean?" suggestions interrupting your flow. It waits for you. I liked that immediately.

Day 1-3: The Honeymoon Phase and Feature Building

My first task was to build a somewhat tedious feature: a multi-step onboarding flow with form validation, state persistence across steps, and a fancy progress bar. Normally, this is a solid half-day of writing boilerplate, wrestling with React Hook Form, and tweaking CSS.

I opened the OpenCode chat panel and simply typed:"Create a 3-step onboarding flow for a SaaS app. Step 1: Profile info. Step 2: Company details. Step 3: Plan selection. Use Tailwind for styling, Zod for validation, and persist state in localStorage so users don't lose progress if they refresh."

I expected a generic snippet I'd have to adapt. Instead, OpenCode paused for about 10 seconds, then started generating a complete plan. It didn't just spit out code; it acted like a senior engineer. It told me it was going to create three separate component files, a master container component, and a Zod schema file.

Then, it asked: "Do you want me to apply these changes directly to your workspace?"

I clicked 'Yes'. It spun up, created the files, updated my routing, and even added the new components to my index exports. I ran the app, and... it just worked. The design was clean, the validation fired correctly, and the state persisted. I was genuinely stunned. It took 3 minutes to do what usually takes me 4 hours.

Day 4-6: The Cracks Start to Show

But no honeymoon lasts forever. By Day 4, I started throwing much harder, deeply architectural problems at it. This is where OpenCode showed that it is still an AI, not a human wizard.

I needed to refactor a complex WebSockets implementation that handled real-time notifications. The existing code was a messy mix of legacy Redux and modern Context API. I asked OpenCode to streamline it.

Here's where the "agentic" part stumbled. Because OpenCode has autonomous file-editing capabilities, it confidently went in and started ripping out Redux slices. But it didn't realize that a deeply nested analytics tracker relied on one specific obscure Redux action.

My app crashed immediately. When I asked OpenCode to fix the crash, it got caught in a loop—fixing the analytics, breaking the websocket, fixing the websocket, breaking the analytics. It took me stepping in manually, reading the diffs, and manually undoing half its work to get back to a stable state.

The Lesson: OpenCode is a brilliant executor, but a terrible architect. If you give it a highly scoped, well-defined task ("Build a login form"), it will crush it. If you give it a vague, highly coupled legacy refactoring task, it will aggressively break your codebase.

The Killer Feature: Agentic Debugging

Despite the refactoring mishap, OpenCode won me back with its debugging capabilities. On Day 6, I encountered a bizarre hydration error in Next.js that only happened in production builds. You know the ones—the errors that give you a vague stack trace pointing to a minified React internal file.

I pasted the error into OpenCode. Instead of just guessing, OpenCode said: "Let me run a build locally to reproduce this."

It actually executed npm run build in its own sandboxed terminal, saw the error for itself, analyzed the build logs, traced it back to a misconfigured Date formatter component that was rendering differently on the server vs client, and applied the fix.

I literally watched it debug my code autonomously. It felt like having a pair programmer sitting next to me. This feature alone is why I haven't uninstalled it.

Final Verdict: Should You Use OpenCode?

After a week of intense daily use, I can confidently say that OpenCode is not just hype. It is a fundamental shift in how we write code. It's significantly better than vanilla Copilot because it doesn't just autocomplete; it acts. It creates files, runs commands, and understands your entire workspace context deeply.

Is it better than Cursor? That's a tougher question. Cursor feels a bit more polished and stable. But OpenCode is completely free, open-source, and allows you to plug in your own local LLMs for total privacy. For 90% of developers, that trade-off is absolutely worth it.

Summary Scorecard

  • 🟢 Speed & Setup: 10/10
  • 🟢 Feature Generation: 9/10
  • 🟡 Complex Refactoring: 6/10
  • 🟢 Autonomous Debugging: 9.5/10
  • 🟢 Price: Free / Open Source

I'm keeping OpenCode installed. It hasn't replaced me, but it has definitely replaced the tedious, boring parts of my job. If you haven't tried it yet, you owe it to yourself to spend a weekend playing with it. Just remember: it's your junior developer on steroids. Keep an eye on what it commits, and you'll be fine.

FAQ

Is OpenCode completely free?

Yes! The core agent is open-source. They offer a free hosted tier that connects to their cloud models, but you can also run it 100% locally using tools like Ollama or LM Studio at zero cost.

Does OpenCode steal my code?

If you use their free hosted tier, standard privacy policies apply. However, the beauty of OpenCode is that you can switch it to 'Local Mode', meaning your code never leaves your machine. This makes it ideal for enterprise and highly secure environments.

How does it compare to GitHub Copilot?

Copilot is primarily an autocomplete tool. OpenCode is an 'agent'. This means OpenCode can create multiple files, edit existing files, run terminal commands, and debug errors autonomously, whereas Copilot mostly just predicts the next line of code.

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