Cursor for engineering teams
Cursor for Engineering Teams
Standardise the AI code editor across your team without losing control of quality.
Cursor is an AI-first code editor built on Visual Studio Code, with tab completion, chat and an agent that edits across files. We help teams roll it out with project rules, privacy settings, tool connections and review habits that keep AI-written code maintainable.
What we cover
- Project rules
- Privacy mode and team settings
- Model choice and usage
- MCP integrations
- Bugbot and review practice
- Onboarding and guidelines
Requirement-led advice · Documented handover
- Advice based on your requirements
- Works with your existing stack
- Documented, maintainable delivery
What Is Cursor?
Cursor is a code editor based on Visual Studio Code, so most VS Code extensions, themes and keybindings carry over. It adds AI features throughout: Tab completion that predicts multi-line edits, a chat panel that understands the codebase, and an Agent that plans and makes changes across files and can run terminal commands. Cloud agents can also work on tasks in the background.
Teams guide Cursor with project rules stored in the repository, choose which models developers may use, and enable Privacy Mode and other organisation settings on business plans. Bugbot can review pull requests on GitHub. Cursor supports Model Context Protocol, so it can use the same tool servers as other AI clients.
When Cursor is a good fit
- Your developers already use VS Code and want AI built into the editor.
- You want a choice of models from several providers in one tool.
- You want project rules and settings shared across the team.
- Fast, interactive editing matters more than long unattended runs.
Where Teams Use Cursor
Day-to-day work where an editor-centred agent helps. Developers stay in control of every change.
Interactive feature work
Build features with the agent while reviewing each step.
Refactoring
Rename, restructure and update patterns across files.
Codebase navigation
Ask how things work and jump to the right code.
Tests
Write and fix tests alongside the code.
Front-end work
Iterate quickly on components and styles.
Pull request review
Bugbot reviews before human review.
Documentation
Update comments, READMEs and changelogs.
Background tasks
Hand routine tasks to cloud agents.
Cursor Services We Deliver
Each piece of work has a clear output, so you know what you will receive.
Rollout plan
Choose teams, settings and success measures for adoption.
Deliverables: rollout plan, measures
Project rules
Rules that describe your architecture, style and patterns to avoid.
Deliverables: rule files, conventions guide
Team configuration
Privacy Mode, model access, SSO and admin settings.
Deliverables: settings baseline, policy record
Tool integrations
MCP servers for docs, issue trackers and internal APIs.
Deliverables: MCP configuration, access model
Review practice
Bugbot and human review rules for AI-assisted changes.
Deliverables: review checklist, CI checks
Developer training
Sessions on prompting, planning and reviewing agent edits.
Deliverables: training, team guidelines
Cursor Features We Configure
Settings and features that matter for teams.
Editing
- Tab completion
- Chat
- Agent
- Cloud agents
Context
- Project rules
- Codebase indexing
- Docs and web context
- Model Context Protocol
Team controls
- Privacy Mode
- Model access
- SSO and admin settings
- Usage reporting
Review
- Bugbot on GitHub
- CI checks
- Pull request templates
Listing a feature here does not mean every project uses it. We recommend what fits your requirements, skills, licensing and running costs.
How Cursor Fits Your Stack
Because Cursor is built on VS Code, it fits teams working in TypeScript, Python, .NET and most other ecosystems. Tool access through Model Context Protocol lets it reach the same internal systems as your other AI tools.
For dedicated engineers who already work in Cursor, see Hire Cursor Developers. Teams comparing assistants can also read about GitHub Copilot, Claude Code and OpenAI Codex.
Implementation Considerations
- Turn on Privacy Mode and agree allowed models before rollout.
- Keep project rules short and specific; long generic rules are ignored or cause noise.
- Check which VS Code extensions your team depends on before switching.
- Review agent edits as carefully as human ones, with tests in CI.
- Watch usage on plans with metered model access.
- Keep secrets out of indexed folders.
How We Work With Cursor
The same four steps we use across our technology work, adapted to your scope.
Discover
Goals, users, constraints and the systems Cursor must work with.
Select
Confirm Cursor is the right fit and agree the architecture and scope.
Build and integrate
Deliver in short iterations with testing, reviews and documentation.
Operate and improve
Monitor, support and improve the solution as your needs change.
Cursor Questions, Answered
What is Cursor?
An AI code editor built on Visual Studio Code, with AI completion, chat, an editing agent and cloud agents.
Can we keep using our VS Code extensions?
Most VS Code extensions work in Cursor. We check the ones your team depends on during the pilot.
What are Cursor project rules?
Instructions stored in the repository that tell the AI about your architecture, conventions and things to avoid.
Is our code kept private?
Cursor offers Privacy Mode and organisation controls on business plans. We review the current terms and settings with you.
Can Cursor review pull requests?
Yes. Bugbot reviews pull requests on GitHub, alongside your human reviewers.
Do you provide Cursor developers?
Yes. See our Hire Cursor Developers page.
Rolling Out Cursor?
Tell us about your team, codebase and controls, and we will suggest a practical rollout.
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