✨New • Early Access

Ship production-ready code from your AI prototype

Your prototype works. But it's not secure, not tested, and not ready for real users. We fix that.

See Programs & Pricing→See what you'll master🔧

⏱️6-week intensive • Live cohort • Certificate included

🔀feature/ai-refactor

diff utils/security.py

- def verify_user(username, password):

- return db.query(f"SELECT * FROM users WHERE name='{username}")

+ @rate_limit(max_calls=5, period=60)

+ def verify_user(username: str, password: str) -> Optional[User]:

+ return db.query(User).filter(User.name == username).first()

Before and after: from SQL injection risk to production-safe code

Workshop Overview

Most AI-generated code is a fast prototype, but it ships with security gaps, poor structure, and no tests. This 6-week program gives you a battle-tested framework to refactor, secure, and ship that code with confidence, tailored to your role and goals.

Built by the team that won the Antler x Lovable hackathon and runs the AI for Product Discovery workshop.

Key Learning Outcomes:

✅Identify and fix security vulnerabilities in AI-generated code
✅Refactor for maintainability without breaking functionality
✅Implement automated testing and CI/CD pipelines
✅Set up production monitoring and error tracking
✅Deploy with confidence using proven deployment strategies

Duration

⏱️6 weeks • 2 sessions/week

Format

📺Live sessions + async work

Prerequisites

Basic programming experience. Familiarity with Git and command line helpful.

Cohort Size

👥Limited to 20 participants

What You'll Master

🛡️

Security Hardening

Input validation, SQL injection prevention, rate limiting, and secure secrets management.

🔧

Code Quality

Refactoring techniques, type safety, error handling, and maintainable architecture patterns.

🚀

CI/CD Pipeline

Automated testing, deployment strategies, rollback procedures, and monitoring setup.

⚡

Performance

Database optimization, caching strategies, load testing, and performance budgets.

🔀

Git Workflows

Branch strategies, code review practices, and collaboration patterns for team environments.

🖥️

Production Ready

Logging, error tracking, health checks, and incident response playbooks.

Curriculum & Pricing Overview

Choose the cohort that matches your role and goals. All programs include live sessions, hands-on exercises, and production-ready templates.

Individual Enrollment

🧠

Product Makers & Designers

Build and ship your AI-generated app. Safely. Learn how to take your vibe-coded prototype (Replit, Lovable, etc.) and make it production-ready.

Format:Self-paced learning with live kickoff and group Q&A

Duration:2–3 weeks

Modules:Refactoring AI-generated code, API security, deployment workflows

Deliverables:Checklists, code samples, "Secure MVP" guide

Outcome:Launch your own secure, reliable app. Not just a demo.

Pricing

Early Access: $495 • Regular: $895

Individual Enrollment

🔧

Engineers & Technical Builders

Upgrade your workflow with AI. Without losing rigor. Perfect for developers who inherit AI-generated projects or want to integrate LLMs into their stack.

Format:6-week live cohort with templates, office hours, and Slack support

Duration:4–6 weeks

Modules:Refactoring and hardening vibe-coded projects, testing & CI/CD, using AI tools (Cursor, Claude, GPT-5) in production

Deliverables:Production checklists, CI/CD templates, review prompts

Outcome:Build faster with AI while maintaining enterprise-grade quality and performance.

Pricing

Early Access: $695 • Regular: $1,549

🏢Enterprise • Private Cohort

🏢

Full Teams & Companies

Bring your whole team into the AI era. Tailored sessions for engineering and product teams building AI-powered systems.

Custom private cohorts designed for your organization

Format:Private company cohort (custom workshops + dedicated trainers)

Duration:6–8 weeks

Modules:Designing AI-assisted workflows, DevOps & scaling foundations, architecture reviews

Deliverables:Internal playbooks, policy templates, readiness audit

Outcome:Create an organization-wide framework for shipping AI-built products that are secure and reliable.

Limited to 20 participants per cohort. All programs include live sessions, recordings, and certificate of completion.

6-Week Curriculum

Weeks 1-2

Security Audit & Refactoring Foundations

🛡️

Security Scanning

Identify vulnerabilities, SQL injection risks, XSS

💻

Code Smell Detection

Spot architectural issues and technical debt

⚙️

Type Safety

Add TypeScript/type hints to critical paths

⚠️

Error Handling

Implement proper error boundaries and logging

Weeks 3-4

Testing & CI/CD Pipeline

🧪

Unit & Integration Tests

Write tests that catch real bugs

🚀

CI/CD Setup

GitHub Actions, automated deployments

🔀

Code Review Process

PR templates, review checklist

🗃️

Database Migrations

Safe schema changes in production

Weeks 5-6

Performance & Production Deployment

⚡

Performance Optimization

Database queries, caching, load testing

🖥️

Monitoring & Logging

Sentry, DataDog, structured logging

🛡️

Production Hardening

Rate limiting, secrets management

🚀

Deployment Strategy

Blue-green, canary releases, rollback

Meet Your Instructors

Chris Wallace

CPO & Organisational Transformation Lead, Yes&

22+ years of digital transformation and product leadership. Chris has led large-scale product organisations through technology shifts, helping teams adopt new tools and ways of working without losing momentum. At Yes&, he bridges the gap between AI capability and organisational readiness, ensuring teams ship with confidence.

22+

Years

50+

Products

Marcel Hoppe

CTO & AI Engineering Lead, Yes&

17+ years in software engineering, 3+ building production AI systems. Marcel has built high-performance native apps used by millions, modernised large-scale consumer systems, and now pioneers AI-assisted development with tools like Cursor, Claude, and ChatGPT. At Yes&, he helps teams combine AI creativity with engineering rigour, turning vibe-coded prototypes into secure, production-grade products.

17+