Cursor Training for Development Teams

Cursor is built around AI from the ground up. Where that puts Tab, Chat, and Agent mode relative to tools your team may already run, and what a first safe experiment looks like.

• What 'AI-native' means: Tab and Chat, with Agent mode inside one editor
• How Cursor differs from an autocomplete extension and from a terminal-based agent
• Where Cursor sits inside your team's current development workflow
• What it handles well, and where a person still has to decide
• Low-risk tasks build confidence

Install and configure Cursor identically across the team. Then walk one task through Tab and Chat, before Agent takes it to the finish. The goal is one shared loop for the whole team.

• Getting every developer onto the same Cursor configuration
• Choosing between Tab and Chat, then Agent mode for a given task
• Scoping work Agent can finish, including Plan Mode for larger changes
• Running Agent on one focused change at a time
• Connecting project tools and data sources through MCP
• Which setups paid off

Rules are the single biggest lever on output quality, and most teams never write one. This module builds Project and Team Rules plus an AGENTS.md. It configures indexing and ignore files, then practices pointing Agent at the right context on your own repository.

• Writing Project and Team Rules that state conventions and guardrails
• User Rules versus Team Rules, and what belongs in AGENTS.md instead
• Codebase indexing, and giving Agent the right files without overload
• Keeping sensitive paths out of context with .cursorignore
• Prompt patterns for Agent
• Building a house style for Rules and prompts your team reuses

A generated diff deserves the same skepticism as a stranger's pull request, and this module builds that habit for both Agent output and Bugbot review comments.

• Reading an Agent-generated diff before approving it
• Treating Bugbot as a first pass
• Writing tests before an Agent run, and backfilling them when that's not possible
• Recognizing failure modes specific to agent-written code
• Making Cursor's changes pass through the same gates as anyone else's work
• Knowing when to take or return a change, and when to scrap it outright

Where Agent may go and what stays off-limits. Teams and Enterprise controls enforce that in practice. Governance built into the daily loop, including KVKK.

• Scoping what Agent can read, run, and change, including sandboxing
• Privacy Mode and zero data retention, and what each setting really controls
• Network configuration and audit logs, including monitoring for regulated teams
• Making sure secrets and customer data never land in a prompt or its context
• Handling personal data under KVKK when Cursor sits in the workflow
• A usage policy that holds up without constant reminders

From a few early adopters to Teams or Enterprise seats managed on purpose. Admin console configuration sets a phased path from pilot to rollout. Analytics get read honestly instead of mistaken for adoption.

• Configuring seats and roles, including domain-based access, in the admin console
• Picking a first team and a workflow where the win is obvious
• Champions network, working setups
• Setting the few norms worth enforcing and leaving the rest alone
• Reading usage analytics without mistaking activity for adoption
• A rollout plan handed over, built around your own codebase and Rules