
From AI Tools to Team Workflow: Engineering Workshop
Tools + practical AI workflow philosophy for better team delivery

Jarosław MichalikGoogle Developer Expert
Google Developer Expert, workshop facilitator, and advocate of responsible AI-assisted development. He has delivered dozens of workshops for engineering teams and regularly shares practical knowledge at conferences and in online courses.
For venture-backed startups & scaling product teams
Startups often adopt Cursor or Claude team-wide before they agree on review rules, context strategy, or who owns production risk. This workshop compresses that alignment into one working day so your engineers leave speaking one language — whether you are pre-Series A or adding a second product squad.
- Duration
- 1 day (~7 hours)
- Format
- In-house or remote
- Languages
- English / Polish
- Typical hours
- 09:00–16:00
- Pricing
- Custom (aligned to team size & travel)
- Outcomes
- Shared standards, exercises, 30-day rollout plan
Need leadership coverage after the workshop? Pair it with a fractional CTO engagement for roadmap, hiring, and architecture guardrails.
This is a practical workshop for software teams already using AI but lacking a shared delivery standard. Your team leaves with clear rules: how to use AI tools, when AI should accelerate execution, and when humans should make the final call.
- Align your AI tool stack (Cursor, Antigravity, Claude Code) with delivery process
- Define team AI philosophy: roles, ownership, and quality gates
- Practice on realistic implementation and code review scenarios
- Leave with a rollout plan for upcoming sprints
This is not a prompt tricks session. Tools matter, but the main focus is your team philosophy of work and practical integration into the development workflow.
Dedicated company format: available in-house at your office or remotely.
TOOLS WE USE
Cursor, Antigravity, Claude Code
We do not optimize for tools alone. We optimize for how your team integrates these tools into real development workflows with clear ownership, review standards, and decision rules.
WHO IS IT FOR?
Who this workshop is for
For software teams that want to move from "everyone uses AI differently" to one shared, repeatable engineering workflow.
Startups & scale-ups
Small product teams that need fast alignment before the next funding milestone, platform pivot, or major AI rollout across squads.
Software houses
Delivery teams that need consistent AI practices across projects, better review quality, and more predictable execution for clients.
Product engineering orgs
Teams that want faster delivery with stable quality and a shared standard for AI-assisted development.
AGENDA
Workshop modules
Module 1: Team baseline and workflow map
+
- How your team currently uses AI in delivery
- Where quality or predictability drops
- What should be standardized first
Learning outcome
Your team leaves with a clear baseline and a shared understanding of what to fix first.
Module 2: Worst practices in AI-assisted development (and what we learn from them)
+
- Common anti-patterns that hurt quality, ownership, and team trust
- Failure modes in prompting, review, and AI-generated implementation
- Practical lessons and guardrails to avoid repeating the same mistakes
Learning outcome
The team learns what to avoid and gets concrete guardrails for safer, higher-quality AI usage.
Module 3: Building your own skills and workflows
+
- How to build team-specific skills for AI-assisted development
- Designing reusable workflows your team can actually follow
- Creating shared understanding: why each step exists and when to adapt it
Learning outcome
Your team gets repeatable skills and workflows with clear rationale, not just one-off tactics.
Module 4: Hands-on team exercises
+
- Realistic implementation and review scenarios
- Prompting and context patterns your team can reuse
- Facilitated debrief after each exercise
Learning outcome
The team practices the new standards in realistic scenarios and leaves ready to apply them immediately.
FORMAT
Individual in-house company workshops
Every workshop is available as in-house or remote and tailored to your team stack, maturity, and delivery model.
Typical session time: 09:00-16:00.
FAQs on this workshop
How does the workshop format look in practice?
It combines short lecture blocks, live demonstrations, and hands-on team exercises. The focus is practical implementation in your day-to-day development workflow.
Can we adapt the agenda to our team?
Yes. Before delivery, we align your goals, constraints, and stack to tune the module priorities.
What team size gets the most value?
The strongest outcomes usually come with teams up to 15 participants, especially in interactive sessions with code and review exercises.
What do we get after the workshop?
A practical team playbook, quality checklist, and a 30-day rollout plan for immediate implementation.
Ready to align your team workflow?
Start with a short call and we will define the best in-house format for your software team.
Want to discuss an in-house workshop for your team? Book a discovery call