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You Know That Feeling When Your IDE Just… Slows You Down?
I’ve been writing code for over a decade, and I’ve tried just about every AI coding assistant that’s hit the market. I’ve burned through free trials, watched features get sunset, and felt the sting of a tool that promises the world but can’t even autocomplete a Python dictionary without hallucinating a method that doesn’t exist. So when I started hearing whispers about Codeium—a tool that claims to be a faster, cheaper alternative to GitHub Copilot—I had to put it through the wringer.
This isn’t a sponsored puff piece. I bought my own subscription, installed the extension in my daily driver (VS Code on a MacBook Pro M2), and spent a full week using it for real client work. Here’s my brutally honest take.
What Is Codeium (And Why Should You Care)?
Codeium is an AI-powered code completion and search tool. Think of it as a souped-up autocomplete that lives inside your editor. It supports over 70 languages, integrates with VS Code, JetBrains, Vim, and even Jupyter Notebooks. But here’s the kicker: it’s free for individual developers. Yes, free. No credit card required. That alone made me suspicious—usually “free” means your data is the product or the tool is a watered-down demo.
Codeium Interface
Hardware Recommendation: Dell S2722QC 27 inch 4K monitor
Codeium offers three main features: Codeium Chat (an AI assistant you can talk to inside your editor), Codeium Search (semantic code search across your entire codebase), and Autocomplete (the bread and butter). It positions itself as a direct competitor to GitHub Copilot, but with a stronger focus on privacy and developer control. You can read more about their official claims on their Codeium website.
I’ve also written extensively about other AI coding assistants if you want to compare options.
Hardware Recommendation: Logitech MX Master 3S mouse
And for context, I’m running this on a Logitech MX Mechanical keyboard and a Dell UltraSharp 27” 4K monitor—having solid peripherals makes a huge difference when you’re testing latency-sensitive tools like this.
My Testing Notes: What Worked, What Failed
The Good: Speed and Context Awareness
Codeium’s autocomplete is fast. I mean, noticeably faster than Copilot in my testing. When I type a function name—say, def calculate_risk_score—Codeium usually spits out a multi-line suggestion before I’ve even finished typing the colon. The latency is under 200ms in most cases. That’s impressive for a free tool.
I tested it on a messy Django project with about 50,000 lines of code. Codeium’s search feature let me find a specific utility function by typing a natural language query like “find the function that normalizes user email addresses.” It returned the exact file and line in under a second. That alone saved me at least 20 minutes over manually grepping.
The chat feature is solid too. I asked it to “explain this SQL query and suggest an index optimization,” and it gave me a clear, step-by-step breakdown. It also understands your open files, so you can say “refactor this class to use dependency injection” and it will see the class you’re looking at.
The Bad: Hallucinations and Weird Edge Cases
Here’s where the rubber meets the road. Codeium still hallucinates. In one session, I was writing a Python function to parse JSON logs. Codeium suggested using a method called json.loads_safe()—which does not exist in the standard library. If I had blindly tabbed that in, it would have broken my build. This is a common problem with all LLM-based code tools, but it’s worth noting.
Also, the chat feature sometimes loses context if you switch files. I had a conversation about a React component, switched to a backend file to check something, and when I came back to the chat, it had forgotten the entire thread. That’s frustrating.
And here’s a dealbreaker for some: Codeium does not support multi-line autocomplete as well as Copilot. In my testing, Copilot would often suggest a whole function body. Codeium tends to suggest one or two lines at a time, which means you’re still doing a lot of manual typing for boilerplate.
The Ugly: Installation and Setup Quirks
I tested the VS Code extension. Installation was a breeze—just search “Codeium” in the extensions panel. But the first time I tried to use the chat feature, it hung on “Connecting to Codeium servers” for a solid 45 seconds. That happened twice. After a restart, it worked fine, but first impressions matter.
If you’re using a MacBook Pro with an M2 chip, you should be fine. But I’ve read reports from users on older Intel Macs that the extension can be sluggish. YMMV.
I also tested it on a Dell XPS 15 running Windows 11. Performance was similar—snappy autocomplete, but the chat feature was noticeably slower than on macOS. If you’re a Windows user, you might want to keep that in mind.
Pricing Analysis: Is It Worth It?
Codeium’s pricing is deceptively simple. Here’s the breakdown:
- Free Tier: Unlimited autocomplete, unlimited search, and chat. No credit card needed. This is almost too good to be true, and honestly, it’s the best free offering in the space right now.
- Teams Plan: $15 per user per month. Adds admin controls, team-wide usage analytics, and priority support. This is aimed at small to medium dev teams.
- Enterprise Plan: Custom pricing. Includes on-premise deployment, SSO, and data isolation. If you’re a large company with compliance needs, this is your lane.
Compare that to GitHub Copilot, which charges $10/month for individuals and $19/month for business. Codeium’s free tier is genuinely competitive with Copilot’s paid tier for most solo developers. But here’s the catch: Codeium’s free tier has no usage limits, but it does collect telemetry data. If you’re working on proprietary code for a client, you might want to use the Teams plan or self-hosted Enterprise option for peace of mind.
For the average indie developer or freelancer, the free tier is a no-brainer. For teams, the $15/user/month is a steal compared to Copilot’s $19/user/month. But don’t forget that Copilot has a more mature ecosystem and better multi-line completions. You get what you pay for.
If you’re building a coding setup from scratch, I’d also recommend investing in a Logitech MX Master 3S mouse—the extra buttons are great for mapping Codeium shortcuts.
Pros & Cons
Pros
- Free for individuals: No credit card, no time limit. This is a huge win for students, hobbyists, and freelancers.
- Blazing fast autocomplete: Sub-200ms latency in most cases. It feels snappy and responsive.
- Excellent semantic search: Finding code by natural language is a game-changer for large codebases.
- Strong privacy options: Enterprise on-premise deployment means you can keep your code off third-party servers.
- Wide IDE support: VS Code, JetBrains, Vim, Neovim, and even Jupyter Notebooks.
Cons
- Hallucinates non-existent methods: Still a risk. Always review suggestions before tabbing.
- Weak multi-line completions: Copilot is better at suggesting entire function bodies.
- Chat loses context: Switching files can reset the conversation thread.
- Occasional connection issues: First-time setup can be flaky.
- Telemetry on free tier: If you’re paranoid about data, you’ll need to pay.
Final Verdict: Who Should Use Codeium?
After a week of heavy use, here’s my honest take: Codeium is the best free AI coding assistant on the market, but it’s not perfect.
If you’re a solo developer, a student, or a freelancer working on non-sensitive code, the free tier is an absolute no-brainer. Download it, install it, and enjoy the productivity boost. It’s faster than Copilot for single-line completions, and the search feature is genuinely useful.
If you’re on a team, the Teams plan at $15/user/month is a solid deal, but I’d still recommend testing Copilot side-by-side for a week. Copilot’s multi-line completions are noticeably better, and its chat feature is more context-aware.
If you’re working on highly sensitive proprietary code (think defense, finance, healthcare), the Enterprise plan with on-premise deployment is compelling. But you’ll need to talk to their sales team to get a quote, and at that point, you might also want to evaluate GitHub Copilot Enterprise or Tabnine for comparison.
My recommendation? Start with the free tier. Use it for a week. If you find yourself fighting with hallucinations or wanting better multi-line completions, then consider paying for Copilot. But for most people, Codeium is more than enough.
And if you’re building a dedicated coding workstation, don’t forget to pair it with a high-resolution monitor and a mechanical keyboard—your wrists will thank you.
Score: 8/10 — Highly recommended for solo devs, with caveats for teams and sensitive projects.
For more comparisons, check out my review of GitHub Copilot and Tabnine vs Codeium.