What Cursor Users Complain About

The rapid adoption of AI native development environments has fundamentally changed how engineers write code. While Cursor has established itself as a leading choice for many, a growing number of developers are expressing specific frustrations as they move beyond the honeymoon phase of using the tool. Understanding what Cursor users complain about is essential for any developer looking to optimize their workflow or find a setup that better aligns with their specific technical requirements and privacy standards.

The Mental Overhead of UI Clutter

One of the most frequent critiques regarding modern AI editors involves the sheer density of the interface. Since Cursor is a fork of VS Code, it inherits all the standard sidebar and tab management complexities of a traditional IDE while adding its own layers of AI chat windows, composer overlays, and inline suggestions.

Many developers find that the screen becomes fragmented quickly. When you are managing multiple files, a terminal, and an AI chat simultaneously, the usable code area shrinks significantly. This leads to a constant toggle between different views, which can break the state of flow. The traditional tabbed interface, while familiar, often fails to represent the nonlinear way AI agents work across multiple files at once.

In contrast, tools like Deska take a different architectural approach. Instead of a traditional sidebar and tab system, Deska uses an infinite canvas workspace. You can place panels anywhere and zoom out to see everything. This spatial organization allows you to group terminals, code editors, and browsers in a way that reflects your mental model of the project rather than being constrained by a rigid IDE layout.

Context Management and hallucinations

Another area where users frequently report issues is context window management. Even with sophisticated indexing, the AI can sometimes lose track of the broader project architecture or provide outdated suggestions based on cached versions of files.

Users complain about the following context related issues:

• The AI provides code that ignores existing utility functions defined in other files.
• Indexing large monorepos can be slow or result in incomplete knowledge.
• The chat interface sometimes requires repetitive prompting to "remember" constraints established earlier in the session.

Managing these threads effectively is a common pain point. Within Deska, the use of agent threads and multiple side by side panels helps keep different logical parts of a task visible. When you can see the terminal output and the AI agent reasoning in separate panels simultaneously, it is easier to spot when the context is drifting.

Privacy and Data Sovereignty

For developers working in enterprise environments or on sensitive proprietary logic, the primary concern is where the code goes. While many AI tools offer privacy modes, the underlying architecture often relies on cloud processing where the source code must be indexed or sent to a remote server for inference.

The "local-first" movement is a direct response to these concerns. Developers are increasingly looking for tools that keep their files and sessions on their own machines. Deska emphasizes a local-first approach where your code, files, and sessions stay on your machine. This ensures that the workspace environment is not a black box operating in the cloud.

Performance and Resource Consumption

Running a full IDE with integrated AI features is resource intensive. Users often complain about high memory usage and occasional latency in the editor UI when the AI is processing large amounts of data. Since Cursor is built on the Electron framework, it already has a baseline memory footprint that increases as more extensions and AI features are enabled.

Performance complaints usually fall into three categories:

1. Input lag when the AI is generating inline completions.
2. Slow startup times when many extensions are active.
3. High CPU usage during project indexing.

Comparing Architectural Approaches

The following table compares the traditional AI-integrated IDE approach with the modular workspace approach found in Deska.

The Limitation of the Single Editor Model

Most complaints about AI editors stem from the fact that they are still fundamentally text editors with a chat box attached. Modern development is more than just writing text. It involves monitoring logs, checking web previews, and managing infrastructure.

When an AI agent is restricted to just the editor, it cannot effectively "see" the result of its work. If the agent writes code that causes a console error in the browser, the developer has to manually copy that error back into the chat. Deska addresses this by allowing browser widgets and terminals to exist as first class citizens in the same space. The Ask Deska assistant can drive the workspace, opening panels and running commands to bridge the gap between code and execution.

Mobility and Remote Access

A niche but growing complaint among developers is the difficulty of monitoring long running AI tasks. If you start a complex refactor using an AI agent, you are often tethered to your workstation. Traditional IDEs do not offer a seamless way to check progress from a different device without complex remote desktop setups or exposing ports.

Deska provides a mobile app that allows you to monitor and continue work from your phone through a secure relay. Because the devices pair directly, no ports are exposed to the internet. This allows for a level of flexibility that traditional desktop-only IDEs struggle to match.

FAQ

Why is Cursor using so much RAM?

Cursor is built on Electron and includes heavy indexing features for AI context. When processing large projects, the memory usage spikes to handle the embeddings and background AI tasks. Reducing the number of active extensions or narrowing the folder scope can help mitigate this.

Can I use my own API keys with AI editors?

Many AI editors prefer a subscription model where they manage the inference. However, developers often prefer using their own API keys to control costs and model selection. Deska supports a BYOK model for its lifetime tier, allowing you to use your own keys for providers like Anthropic or OpenAI.

How do I stop AI editors from sending my code to the cloud?

To ensure maximum privacy, you should look for tools that follow a local-first philosophy. Check the privacy settings of your tool to enable "Privacy Mode" or "Local Mode," but be aware that some features may still require cloud processing unless the tool is designed to run everything locally.

Conclusion

The evolution of AI development tools is ongoing. While Cursor has pioneered the integrated AI experience, the common complaints regarding UI clutter, privacy, and rigid layouts suggest there is room for different philosophies. Whether you prefer a highly integrated environment or a flexible, spatial workspace, the goal remains the same: reducing the friction between thought and code.

If you are looking for a desktop app for Mac, Windows, or Linux that offers an infinite canvas and a local-first approach to AI development, you can download Deska today to explore a different way of working.