1
Open your repo
Point Cursor at a real project. It indexes context so suggestions and agents understand your stack, not just the open file.
My daily driver
The agent window is the product.
Multi-file edits, tool calls, terminal runs — inside your repo. Not a chat tab on the side.
50% off
First paid month via this link
Multi-file
Agent edits across your repo
Tool calls
Terminal, search, MCP — in-loop
Daily
How often I use it on client work
Recommended path Start here
Download Cursor, start building, get setup help when you want it.
Install through the link for 50% off month one. Use it on a real repo — book a session if you want Git, rules, skills, and MCP wired up.
- 1
Get Cursor
Download and open a project. Same editor as VS Code — AI built in.
- 2
Setup training
1:1 or group — GitHub, rules, skills, and a workflow you can repeat.
- GitHub and Git configuration
- Cursor setup and optimization
- Environment setup (rules, skills, full workflow)
- Hands-on training to get you productive
1:1 Session$297Group Session$197
How I use it
VS Code underneath — same extensions, same keybindings. The difference is the agent panel on the right.
2
Edit with Tab + Agent
Tab for fast inline completions. Agent / Composer for bigger changes across files — refactors, features, tests.
3
Ship with your workflow
Same git flow, terminals, and extensions as VS Code. Add rules and MCP when you want more control over how the agent behaves.
What stood out to me
These are the reasons I stopped context-switching to a separate chat window for most dev work.
In-editor AI
No copy-paste loop between a chat tab and your IDE — the model sees your codebase.
VS Code compatible
Extensions and keybindings carry over. Low switching cost if you're already on Code.
Codebase-aware
Agents can traverse multiple files and follow project structure for real edits.
Privacy options
Configure privacy modes for how code is sent to models — important for client work.
What's in the box
Pro unlocks the stuff you actually want for production work — agents, more model choice, and higher limits.
Tab completions
Fast inline suggestions as you type — the feature most people feel on day one.
Agent mode
Delegate multi-step tasks: implement a feature, fix a bug, or scaffold from a prompt.
Chat with context
Ask questions about your repo with @-mentions for files, docs, and symbols.
Rules & skills
Steer the agent with project rules — patterns I teach in setup sessions.
MCP integrations
Connect external tools and data sources into the agent workflow.
Team plans
Shared billing and admin when you're standardizing across a small team.
Model choice
Pro gives access to premium models for harder reasoning tasks.
Higher limits
More agent and completion usage for production workloads.
Ready to try it?
Use the link below for 50% off your first paid month — or jump to setup training if you want a guided install.