Training

Cursor is the AI coding environment we teach teams to use in real delivery work. The workshop focus is practical adoption: where to delegate, how to review AI-assisted changes, how to set team rules, and how to keep architecture, security, and business logic under human ownership.

Workshops can run as half-day intensives, one-day team sessions, multi-session virtual programs, or deeper multi-day offsites. We choose the length around your team size, codebase complexity, and rollout goals.

Yes. We run live virtual workshops for distributed teams, with demos, guided exercises, screen-sharing, AI code review practice, and follow-up actions the team can use immediately.

We train small teams of 5-10 developers, mixed product-engineering groups, and larger enterprise cohorts of 100+ people. Larger rollouts are split into practical cohorts so the work stays hands-on.

A workshop typically includes Cursor workflow setup, repo-aware exercises, AI coding review habits, team rules, agent workflow patterns, governance discussion, and a concrete adoption plan for the next sprint.

We offer onsite programs at your office, live virtual sessions over Zoom, and premium offsite workshops. Formats range from half-day intensives to multi-session programs depending on your team's AI coding goals, code review standards, and rollout plan.

We work with teams of all sizes, from small startups (5-10 developers) to enterprise engineering organizations (100+ developers). We customize the approach around your team structure, repositories, review process, and adoption risk.

We work across functions: engineering, product, marketing, finance, HR, legal, operations, and leadership.

Engineering often has the most immediate leverage because the workshops are hands-on, repo-based, and focused on real engineering work: better delegation to AI, sharper review habits, clearer team standards, and rollout discipline that engineers actually use.

But the same adoption work applies across industries and business teams.

Our background spans legal, financial services, shipping, SaaS, fintech, compliance, KYC/CDD, AML, GDPR, AFM-supervised contexts, auditability, data isolation, construction, energy, tech, and enterprise B2B.

This is not only for engineering. We train business domains and shared functions inside a company. A business domain might be a product line, client-facing workflow, compliance process, or operational team where domain experts and technical people need to improve how work gets done.

Shared functions include product, marketing, sales, finance, HR, legal, compliance, operations, customer success, and internal enablement.

For engineering teams, Cursor helps with repo-based work: scoping changes, writing code, improving tests, reviewing diffs, and setting team standards.

For product and operations teams, Cursor helps turn process knowledge into prototypes, internal tools, workflow specs, and better handoffs to engineering. For marketing, sales, finance, HR, legal, and compliance, the training focuses on practical AI adoption: campaign workflows, reporting, document review, policy checks, data cleanup, automation ideas, and governed ways of working with AI without creating risk.

Our training is designed for developers at all levels. We start with practical AI coding fundamentals, then move into agentic workflows, repo rules, code review habits, and team adoption patterns.

Yes. We can provide follow-up sessions, office hours, workflow reviews, and support packages so the team keeps improving its AI-assisted development habits after the workshop.

We are official Cursor ambassadors and work from real engineering adoption patterns, not generic prompt tutorials. The training is hands-on, repo-aware, and focused on the habits that make AI coding useful in production.