Cursor for Developers: Mastery — Cloud Agents, Bugbot & the CLI

Run Cursor as team infrastructure: Cloud Agents with proper environments and secrets, event-driven Automations, Bugbot review rules and Autofix, and the Cursor CLI headless in CI. Leads also govern plugins, models, enterprise controls and cost, measure agent quality on a team, and plan an org-wide rollout. Ends with a designed review-to-fix pipeline with human gates.

What this course covers

The course runs across 10 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Cloud agents: environments, secrets, and starting from Slack, GitHub or Linear — Set up Cloud Agent environments with agent-led setup, a snapshot or a Dockerfile in .cursor/environment.json, and keep secrets in the dashboard Secrets tab. Start agents from the desktop, web, Slack, GitHub or Linear and require PRs with verification evidence.
Automations: event-driven agents and service accounts — Build Automations triggered by schedules, PR events, CI completion, Slack, webhooks, Linear, Sentry or PagerDuty, and grant only the tools they need. Choose between running as yourself or an admin-created service account, and guard persistent memories against untrusted input.
Bugbot: pull-request review, BUGBOT.md rules and Autofix — Write root and nested .cursor/BUGBOT.md rules, understand how team, learned and repo rules merge, and trigger reviews on demand. Choose an Autofix mode in .cursor/config/bugbot.yaml, which is read from the base branch so PRs cannot change their own review.
The Cursor CLI headless in CI — Run agent -p with CURSOR_API_KEY, pick text, json or stream-json output, and leave out --force so edits are only proposed. Lock down shell, read, write, fetch and MCP access with allow/deny rules in .cursor/cli.json.
Plugins and team marketplace governance — Package rules, skills, MCP servers and hooks as plugins and distribute them through a team marketplace as Default Off, Default On or Required. Understand who can add marketplaces and what removing a linked MCP plugin does to everyone.
Model strategy: Composer, Grok, other providers, Auto and cost — Match Auto, Composer models, Grok models and third-party models to task types and their cost profile, and use /best-of-n to compare models on the same task. Account for Automations always using the maximum context window.
Enterprise controls: SSO, SCIM, enforced privacy mode and model access — Configure SSO with domain verification, SCIM provisioning, enforced Privacy Mode, model access restrictions, enforced Team Rules and admin limits on run modes, sandbox networking and MCP. Treat Auto-review as a guardrail, not a security boundary.
Measuring agent quality and cost on a team — Use team analytics such as AI share of committed code, accepted agent edits and Cloud Agent PRs opened and merged, exported as CSV. Pair them with your own merge, revert and escaped-defect rates and usage per task.
Rolling Cursor out across an engineering org — Plan a pilot-then-scale rollout with enforced settings, Required security plugins and hooks, a training path and clear rules on what agents may merge. Handle sceptical senior engineers with evidence.
Capstone: an automated review-to-fix pipeline — Design a Bugbot-to-Automation fix pipeline with run-as identity, tool grants, hooks, model choice, a human merge gate, enterprise controls and metrics.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Senior developers and engineering leads. The material is pitched at expert level, and takes roughly 180 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: AI Code Editors track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario, code lab, role play exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a tool assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

Cursor for Everyone: Mastery — Owning Team Tools — The expert level for business builders whose Cursor-built tools other people now depend on, built on the 4Ds of AI fluency: Delegation, Description, Discernment and Diligence. Learners decide what belongs in Cursor, in a chat AI or with engineers, write specs an agent and an engineer can both follow, run a small portfolio of tools, review what agents produce, and work with IT on data, access and approved plans. They finish by measuring impact honestly and leading adoption on their team. No code.
Cursor for Developers: Advanced — This course takes Cursor users from productive to expert in large codebases: nested AGENTS.md and scoped rules, skills, hooks as guardrails, parallel agents in worktrees, the agent browser, large refactors and agentic debugging. Learners finish able to manage long sessions, set team conventions with Team Rules and plugins, and keep agents secure.
Cursor for Everyone: Advanced — Multi-Step Tools & Agents — For non-technical builders ready to make bigger tools with Cursor's agent. Learners plan before building with Plan mode, break work into steps they can check, set plain-language rules, undo safely with checkpoints, let the agent test in its own browser, and choose how much the agent may do without asking. They finish with a multi-step team tool built on fake data, with secrets and company data kept out.
Cursor for Everyone: Core — The working level for non-technical builders: keeping your Cursor-built tools alive and useful. Learners improve and fix their own tools, connect them safely to real files and data, and reuse what works. They finish knowing their limits - and exactly when to hand something to an engineer.
What's New in Cursor for Developers — A short refresher on the latest Cursor for Developers updates
Cursor & Grok Bot for Developers Pathway — One path for engineering teams that use Cursor with Grok Bot included. A placement check for each tool sends you to the right Cursor course and the right Grok Bot course. Also includes 8 optional playbooks (Testing, Code Review, Refactoring & Migration and Docs & Onboarding for Cursor; Testing, Code Review, Incidents & Performance and Docs & Onboarding for Grok Bot) to take any time after Essentials; they don't count toward the certificate.
Cursor for Developers Pathway — Cursor for professional developers: from getting productive with Tab and Agent to rules, MCP and hooks, then cloud agents, Bugbot and the CLI. Also includes 4 optional playbooks (Testing, Code Review, Refactoring & Migration, Docs & Onboarding) to take any time after Essentials; they don't count toward the certificate.

Frequently asked questions

How long does this course take?

It runs roughly 180 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code TUL-CUR-DEV-301.