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Program overview
Online
On-site
Hybrid
Cursor for Teams: Rules, Review and CI/CD
What changes when a whole team adopts Cursor rather than a few enthusiasts. Covers shared rules as a versioned team asset, onboarding onto unfamiliar codebases, review standards for AI-generated code, automated pull request review, and integrating agents into CI/CD without weakening your gates.
Duration:
2 Days
Level:
Intermediate
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1500+ users onboarded
Who will Benefit from this Training?
Training Objectives
Build a high-performing, job-ready tech team.
Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut
Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
- Shared Rules and Team Conventions
- Project rules as a shared, reviewed, version-controlled asset
- Encoding architecture decisions, conventions and forbidden patterns
- Scoping rules by directory so a monorepo behaves sensibly
- Reviewing and updating rules as the codebase changes
- Hands-on: build a rule set for a real repository as a team exercise
- Onboarding and Codebase Understanding
- Getting productive on an unfamiliar system quickly
- Asking the codebase questions instead of interrupting colleagues
- Generating architecture notes and onboarding documentation
- Mapping dependencies and tracing behaviour through unfamiliar code
- Hands-on: onboard onto a codebase nobody in the room has seen
- Code Review for AI-Generated Code
- What changes about review when volume increases
- Failure modes specific to generated code and how to spot them
- Attribution and labelling so reviewers know what they are looking at
- Review checklists that catch what humans reliably miss
- Protecting reviewer attention as the scarce resource
- Automated Pull Request Review
- Enabling automated review across repositories
- Interpreting findings and what the tool catches that humans do not
- Autofix suggestions and deciding what to accept
- Managing false positives so the team keeps trusting the signal
- Using the review trail as a compliance artefact
- CI/CD and Pipeline Integration
- Running the headless CLI inside pipelines
- Pre-commit and pre-merge checks that use agents
- Where agents belong in a release path and where they do not
- Vulnerability scanning and security checks in the flow
- Hands-on: wire an agent check into a working pipeline
- Team Standards and Measurement
- Defining done for AI-assisted work at team level
- Throughput against review load: measuring the real bottleneck
- Escaped defects and quality signals worth tracking
- Retrospective cadence as the tooling changes underneath you
- Hands-on: agree a team working agreement for AI-assisted development
Hands-on Experience with Tools
Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
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Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
2
Implementation
Supplementing training with consulting support to ensure implementation in real projects
3
Why this course
- Consistency across the team: Shared rules so output quality does not depend on who wrote the prompt.
- Review is the bottleneck: Practical techniques for handling more generated code without drowning reviewers.
- Faster onboarding: New joiners productive on unfamiliar systems in days rather than weeks.
- Gates stay intact: Integrate agents into CI/CD without quietly lowering your quality bar.
Training objectives
- Design shared project rules and maintain them as a versioned team asset
- Use Cursor to onboard engineers onto unfamiliar or legacy codebases
- Define review standards specific to AI-generated code
- Configure automated pull request review and interpret its findings
- Handle autofix suggestions and control false positives
- Integrate the headless CLI into CI/CD pipelines and pre-merge checks
- Establish a team definition of done for AI-assisted work
- Measure whether team throughput has genuinely improved
Who will benefit
- Engineering teams adopting Cursor collectively
- Tech leads and staff engineers setting standards
- DevOps engineers owning pipelines and gates
- Engineering managers accountable for delivery quality
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Frequently Asked Questions
2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.
3. What is your mode of delivery - online or on-site?
We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.
4. Will trainees get certified?
Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.
5. What do we do if we need further support after the training?
We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.