1The core problem
Most builders do not need more information. They need a system that helps them execute consistently.
Event Recap
AI Shipping Labs Launch Stream Recap
If you missed the launch stream, this page gives you the key ideas, upcoming events, membership options, and the fastest path to join.
Apr 13, 202690-minute live sessionCommunity-focused format
Watch the launch stream
Launch stream summary
What You Need to Know
2The learning model
Learning by building: real projects expose gaps fast and create portfolio evidence you can show publicly.
3What members do
A practical weekly rhythm: accountability circles, group learning, live builds, trend breakdowns, and career support.
Main Community Activities
This is the working format inside the community. It is built to help members ship projects, get feedback, and keep momentum.
1. Accountability circles
Build in sprints with shared momentum.
- Pick one project and commit to a defined sprint.
- Join regular live check-ins: progress, blockers, next steps.
- Get feedback on execution and direction before you drift.
2. Group learning
Turn solo research into shared leverage.
- Research one concept, workflow, or tool in practice.
- Share findings with the community in a reusable format.
- Build a practical internal knowledge base over time.
3. Building sessions
Live working sessions, not passive webinars.
- 1.5 to 2-hour sessions once or twice per month.
- Topics come from member requests and real projects.
- Work through trade-offs together on real implementation problems.
4. Trend breakdowns
Understand trends without chasing hype.
- Break down one trending idea from an engineering lens.
- Focus on what it is, how it works, and where it is useful.
- Trace to code and source material for deeper learning.
5. Career support
Get practical support for real career moves.
- Discuss interviews, offers, salary, LinkedIn, and GitHub.
- Learn how to present projects clearly to hiring teams.
- Get direct input on positioning and personal brand.
Early member value
Why Joining Early Matters
While the community is still small, we can give each member more direct attention. That includes personal onboarding and a personalized plan you can use during upcoming community sprints.
Personalized plan + sprint execution
You are not just joining generic activities. You get a plan tailored to your goals and situation, then apply it inside planned sprints with deadlines and stand-ups. This gives you a clear direction and shared accountability from day one.
How it works
1
You get a short set of questions about your background, goals, and current situation.
2
You can answer in writing or jump on a short live chat.
3
Alexey reviews your context and prepares a personalized plan.
4
You use that plan directly inside community sprints and check-ins.
Outcome: a personalized plan you execute in sprints with clear milestones and support.
This plan can focus on:
- Build a clearer learning path.
- Start or improve a real project.
- Prepare for a new role or interview process.
- Grow faster in your current role.
- Get unstuck and decide what to focus on next.
This level of personal attention is available because the community is still small. As the community grows, we may not be able to offer the same depth of one-to-one planning to everyone.
Upcoming events
Next Live Sessions
Deploy Your AI Agent Project to Production with FastAPI and a Vector DB
Apr 21, Tuesday, 5:00 PM to 6:00 PM CET
A hands-on session on turning an AI agent or RAG prototype into a production-ready backend with FastAPI, retrieval, indexing, and clean API endpoints.
Register on LumaBuild Your LinkedIn as an AI Builder: 30-Day Posting Challenge
Apr 28, Tuesday, 5:00 PM to 6:00 PM CET
Learn how to turn projects, experiments, and lessons into content and build a lightweight posting workflow for a 30-day challenge.
Register on LumaFree-Style Interactive Coding Session: Topic Chosen by the Community
May 19, Tuesday, 4:00 PM to 5:00 PM CET
A collaborative coding session shaped by member demand, from agents and RAG to evaluation, deployment, or more experimental topics.
Register on LumaSolving a Real Take-Home Assignment for an AI Engineer Role Live
Jun 1, Monday, 5:00 PM to 6:00 PM CET
Watch Alexey work through a real take-home assignment live and explain his thinking step by step.
Register on LumaMembership
Pick the Right Level of Support
Start with the level that matches how you learn best. You can always move up later as your goals change.
Content only
Basic
Written summaries and selected topic breakdowns.
Best if you want the material but do not need the live community layer yet.
Choose BasicMost popular
Main
Full community access: Slack, live sessions, circles, and group activities.
Best if you want structure, accountability, and direct participation in the community.
Choose MainDeepest support
Premium
Community access plus deeper structured courses shaped by member needs.
Best if you want the community plus a more structured learning layer.
- Potential course directions include Python for AI Engineering.
- Specification-Driven Development for AI.
- Refactoring AI-generated code into cleaner systems.
Ready to Join?
Choose a plan and start building with a focused community that values execution over noise.