Why AI Coding Tools Are Overrated: My Experience with Cursor

As a solo founder, I’ve been tempted by the allure of AI coding tools promising to revolutionize the way we build software. The hype around tools like Cursor in 2026 suggests that they can turn even the most novice coder into a programming whiz overnight. But after spending significant time using Cursor, I can confidently say: they’re overrated. Here’s why.

The Illusion of Instant Productivity

AI coding tools like Cursor often claim to increase your coding speed by providing real-time suggestions and auto-completions. However, in my experience, the initial learning curve and the frequent inaccuracies of these suggestions can slow you down more than they help. I found myself spending more time correcting the AI's errors than actually writing code.

Real Experience: Time Investment vs. Output

• Time Spent: I dedicated about 20 hours trying to integrate Cursor into my workflow.
• Actual Productivity: I shipped one feature during that time, which I could have done in half the time without AI assistance.

Pricing Breakdown: Is It Worth It?

Cursor’s pricing in 2026 is $29/month for the pro version, which includes features like advanced code suggestions and integrations with popular IDEs.

| Tool | Pricing | Best For | Limitations | Our Take | |-------------|---------------------------|---------------------------|-----------------------------------------|---------------------------| | Cursor | $29/mo, no free tier | Basic coding suggestions | Often inaccurate, requires constant oversight | We tried it for a month, but found it more of a distraction. | | GitHub Copilot | $10/mo, free tier available | Code completion and suggestions | Can suggest outdated or insecure code | We use this occasionally, but prefer manual coding for critical features. | | Tabnine | $12/mo, free tier available | Auto-completion | Limited language support | We don’t use this because it lacks support for our tech stack. | | Codeium | Free | Basic code suggestions | Limited advanced features | We’ve used this for quick fixes, but it’s not reliable. | | Replit | Free tier + $20/mo pro | Collaborative coding | Performance issues with large projects | We’ve found better tools for serious projects. | | Sourcery | Free basic tier, $12/mo pro | Python code optimization | Limited to Python | We use this for small scripts but not for larger applications. | | Ponic | $15/mo, no free tier | AI-driven code review | Not suitable for all languages | Tried it once, but it didn’t fit our workflow. | | Kite | Free tier + $19.90/mo pro | Python and JavaScript | Can be slow and buggy | We dropped it due to performance issues. | | Codex | $25/mo, no free tier | Advanced code generation | High learning curve | We don’t use it due to its complexity. | | JupyterLab | Free | Data science projects | Not a complete IDE | We use it for specific tasks, but not as a primary tool. |

Limitations of AI Coding Tools

1. Contextual Understanding: AI tools often lack the ability to understand the broader context of your project. They might suggest code that technically works but doesn't fit the overall architecture or design patterns you’re using.

2. Security Risks: AI-generated code can sometimes include vulnerabilities. I once received a suggestion that included a deprecated method, which could have led to security issues if I hadn’t caught it.

3. Dependency on Internet: Most AI coding tools require a constant internet connection, which can be a hassle if you’re working in a low-connectivity environment.

What We Actually Use

After experimenting with various AI tools, we’ve returned to more traditional coding practices supplemented by a few reliable tools. Here’s our current stack:

• VS Code: For general coding
• GitHub Copilot: Occasionally for quick suggestions
• Trello: For project management
• Slack: For team communication

Conclusion: Start Here

If you’re considering diving into AI coding tools like Cursor, I recommend starting with a tool that offers a free tier or trial. This way, you can gauge its effectiveness without any financial commitment. In my experience, the best coding results come from understanding your code deeply rather than relying on AI to do the heavy lifting.

If you want to explore coding tools that actually work for indie hackers, check out our podcast, Built This Week, where we share real experiences and tools we use.