Last week, Cursor users discovered that while their payments stayed the same, they were getting less value for their money. This move didn't surprise me at all. Am I a prophet? Not at all.

But a few months ago, when I was still working with tools like Cursor and GitHub Copilot, I discovered something odd - I'd hit rate limits way too quickly. How does it make sense that a user pays $20 while on some days I could burn through $15 before noon?

Unlike Claude Code and Cline, Cursor processes user requests server-side to perform additional optimizations that might make their pricing model profitable for them. So users end up both paying money AND getting limited language model capabilities due to lack of transparency and control over API calls and coding workflow.

It's important for Cursor users to understand this isn't a momentary whim but a built-in problem with their pricing approach and business model.

Until two weeks ago, if you'd asked me, I would have recommended Cline without hesitation. Why? Because it's simply good, does excellent work, and doesn't have all of Cursor's limitations.

Two weeks ago I gave Claude Code another chance for two reasons:

1. They released plan mode - the strongest feature that Cline introduced to the market
2. Their very rewarding pricing model

npm install -g @anthropic-ai/claude-code

And in the folder where you want to work:

claude code

1. Solving the CLI Problem: The first thing that's off-putting about Claude Code is it being a CLI tool. Easily solved - open Claude Code within your preferred IDE window and inside Claude Code type /ide. This will install the Claude Code extension and you'll be able to see all changes within the IDE.

2. Converting Cursor Rules: Written quite a few Cursor rules along the way? You can simply tell Claude to go through all your rule files and convert them to Claude Code format. You'll discover that some of your rules will become trivial and you might not need them.

3. Plan Mode - The Big Must-Have: Press shift + tab until you see plan mode at the bottom. This is a mode where Claude Code isn't allowed to make code changes and is system-prompted to generate a work plan before starting to work. Know that feeling when you want to work on a complex feature, start telling Cursor about the feature that clearly needs thorough planning, and it immediately starts working without understanding the full context? This is exactly what plan mode solves.

4. Automatic Work Division: Claude Code naturally splits its work and generates todos without being asked. If tasks can be done in parallel, Claude Code does it automatically and it works excellently.

5. For Those Coming from Cline: Since Claude Code has implemented parallel tool execution, sometimes it's better to let it go through the codebase rather than relying on multiple memory bank writes that sometimes tend to be out of sync with the actual codebase.

6. Pricing That Actually Works: The average user can totally get by with the $20/month pricing and professional users can manage with the $100 option. I use the $200 pricing and hit rate limits very, very rarely.

7. Creating Memory/Rules (New!): To create a new rule (in Claude Code it's called memory), just use # and then tell it what you think. You have 3 kinds of memory - navigate them carefully to organize your project knowledge effectively.

8. Context Window Management: You'll need to manage your context window. Sometimes you'll reach a point where compression is needed. Do this with /compact. Use this command when you feel you're not in the middle of a task. Claude Code will inform you when you're reaching the end of the context window.

9. Use Web Search Extensively: Use the search web tool extensively. You'll find that Claude Code can bring a lot of useful ideas and practical best practices for most of your problems. It works surprisingly well and can save you hours of research.

10. Big Task Management (For Cline Users): For big tasks, ask Claude Code to create a proper task file and track progress and planning there. This gives you better oversight and allows for more structured development. [I recommend checking out our detailed comparison of task management approaches across different AI coding tools.]

11. Multiple Instance Experimentation: Experiment with multiple Claude Code instances working together on separate projects or even within the same project! This can dramatically speed up complex development workflows.

12. YOLO Mode (Advanced Users): Claude Code uses AI to understand which commands are safe to execute. If you want to go YOLO mode, read this technical deep dive first and use the --dangerously-skip-permissions flag.

Bonus Tip: You can write more instructions while Claude Code is working and it will notice them once it finishes its current task. This allows for dynamic workflow adjustments without interrupting ongoing work.

Place this in your claude.md file for optimal task structure:

# Claude Code Task Management System
 
## Task Management Commands
 
When you request **add task** or use the command **create task**, I will:
1. Create a new task file with a unique Task ID in the tasks/ folder
2. Document our thought process about the approach
3. Develop an implementation plan
4. Set an initial status
5. Update the _index.md file to include the new task
 
For existing tasks, the command **update task [ID]** will prompt me to:
1. Open the specific task file 
2. Add a new progress log entry with today's date
3. Update the task status if needed
4. Update the _index.md file to reflect any status changes
5. Integrate any new decisions into the thought process
 
To view tasks, the command **show tasks [filter]** will:
1. Display a filtered list of tasks based on the specified criteria
2. Valid filters include:
   - **all** - Show all tasks regardless of status
   - **active** - Show only tasks with "In Progress" status
   - **pending** - Show only tasks with "Pending" status
   - **completed** - Show only tasks with "Completed" status
   - **recent** - Show tasks updated in the last week
 
## Task File Structure
 
Each task file follows this format:
 
**Status:** [Pending/In Progress/Completed/Abandoned]  
**Added:** [Date Added]  
**Updated:** [Date Last Updated]
 
### Implementation Plan
- [Step 1]
- [Step 2]
- [Step 3]
 
### Progress Tracking
**Overall Status:** [Not Started/In Progress/Blocked/Completed] - [Completion Percentage]
 
#### Subtasks
| ID | Description | Status | Updated | Notes |
|----|-------------|--------|---------|-------|
| 1.1 | [Subtask description] | [Complete/In Progress/Not Started/Blocked] | [Date] | [Any relevant notes] |
 
### Progress Log
#### [Date]
- Updated subtask 1.1 status to Complete
- Started work on subtask 1.2
- Encountered issue with [specific problem]
- Made decision to [approach/solution]
 
IMPORTANT: Always update both the subtask status table AND the progress log when making progress on a task.

Generally, I recommend simply trying other tools at this pain point. Unlike distant periods in the past (six months ago) when people felt that switching from JetBrains to VSCode was equivalent to changing careers - today engineers need to work conceptually and not get attached to tools. Yes, they all work on similar foundations, but the changes between them are very, very fast, so it's always worth examining alternatives.

The AI coding landscape is evolving rapidly, and staying flexible with your toolchain is essential. [For more insights on AI-first development practices, check out our comprehensive guide on productivity optimization with AI tools.]

Hope this helped! Sahar

If you're looking for a place where you can ask questions within professional and continuous discussion about problems, solutions, and general knowledge about AI-first coding - you're welcome to join our squidClub community. We talk 24/7 about AI productivity in general.

Related Reading:

• Reverse Engineering Cline vs Claude Code: A Technical Deep Dive