4 Days on Zoom | June 22–25, 2026

AI Coding
Bootcamp

A 4-day online agentic engineering bootcamp for developers, product managers, and technology leaders who want to build software with an AI-first development process. Learn the best practices to make your company's R&D process completely AI-first in just four days.
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4
Days
4 hrs
Per Day
50
Cap Per Track
Program At a Glance
📅
Dates
June 22–25, 2026
🎯
Format
4 Hours Per Day on Zoom
🛠
Primary Tool
Claude Code
🔧
Other Tools
Cursor, GitHub, Lovable, Claude Design
🌱
Beginner Track
Founders & PMs
🚀
Advanced Track
Developers & Engineers
💰
Starting at
$5k per participant, with volume discounts
🏆
Led by
Patrick van Staveren, Steve Canfield, & Ryan Allis
The Opportunity

SaaS engineering teams that have properly implemented an AI-first engineering methodology are developing at 5–10x the speed and productivity of legacy teams.

We'll show you how to implement an AI-first product management, engineering, and QA process to substantially speed up your development velocity while improving quality.

This program gives SaasRise member companies a structured, hands-on path to close that gap — moving their engineers from AI-curious to AI-capable in four days. By the end, every engineer has a working personal agentic engineering workflow, not just awareness of tools they've never touched.

Program Tracks

Two Tracks: Beginner and Advanced

The bootcamp runs two parallel tracks so each participant gets training calibrated to their role. Bring your whole team — they'll split into the right room.

Track 1

Beginner

🌱
For non-technical leaders
Learn to scope AI-powered products, direct agentic engineering workflows, and collaborate deeply with engineers — without writing all the code yourself.
CEOs
Founders
Product Managers
Track 2

Advanced

🚀
For technical practitioners
Go deep on agentic workflows, codebase navigation, testing & shipping, and Skill files — building production-grade AI-first development habits.
Developers
Engineers
Coders
CTOs
What's Included

Everything you need to transform your R&D process

Each cohort is capped at 50 participants to ensure the facilitator can read the room, respond to where people are stuck, and adjust pacing in real time.

Length
4 Days
Duration
4-5 hours per day
Cohort Cap
Max 50 per Track
Ongoing Support
Async Channels
4 Live Days
Five-hour facilitated sessions Monday through Thursday on Zoom, led by Patrick van Staveren (Advanced Track) and Steve Canfield (Beginner Track) with hands-on exercises in between each session.
Pre-Work Guide
Setup guide and primer distributed before Day 1 so your team arrives ready to code from the first hour.
Exercise Materials
Hands-on materials for each day plus curated open source codebases for real-world practice you can keep using afterward.
GitHub Codespaces
Fallback environment for IT-restricted attendees — no install blockers, everyone can participate fully.
Async Support Channel
Active support channel throughout the bootcamp and ongoing access afterward so your team can keep asking questions as they apply what they've learned.
Skills Assessment
Pre/post skills assessment to measure growth, plus an end-of-program summary report for company sponsors.
The Disruption from AI Coding

Either be the disruptor, or be disrupted

While using AI coding tools was optional in 2025, in 2026 it's absolutely essential to ensure you stay ahead of your competitors with R&D speed and become the disruptor rather than the disrupted.
The goal is to accelerate the speed and quality of R&D within your SaaS company within 4 days by utilizing an agentic engineering workflow — and to learn from experts in the field how to set up your Product Management, Engineering, and QA process for maximum results.
This is an opportunity to re-architect your existing SaaS app to be AI-first so that you can speed up new feature development 5x to 10x, with the guidance of expert AI engineering leaders Patrick Van Staveren and Steve Canfield who can ensure it's done right.
Key Learning Objectives

What your team will leave knowing

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1.  Rebuild legacy apps with AI

Load any existing SaaS codebase into Claude Code and refactor it, upgrade the UI/UX, or even pivot the coding language entirely.

2. Transform your PM workflow

Shift from assembly-line development to pair-development where AI builds and QAs simultaneously, enabling much faster feature iteration.

3.  Build UI/UX MVPs fast

Create rapid prototypes in Google AI Studio or Lovable, then hand off to engineering teams for full AI-assisted development.

4. Pick the right tool

Know when to use Lovable, Bolt, Base44, or Google AI Studio vs. when Claude Code or OpenAI Codex is the right choice for your use case.

5.  Debug AI-generated code.

Build feedback loops with your coding agent, keep it working longer, and critically review AI output before shipping to production.

The Schedule

4 days. Two sessions per day.

Each day is 5 hours live on Zoom from 9am–2pm PT, Monday through Thursday. There are two sessions per day, with an hour break in the middle for practicing and Q&A. All sessions are recorded.

🌱 Beginner Track
🚀 Advanced Track
Day
First Session · 9:00am–11:00am PT
Second Session · 12:00pm–2:00pm PT
Day
01
Mon · Jun 22
First Session
🗺️ Program Overview & Setting up Cursor with Claude Code
Kick off with a full program overview, then get your development environment ready end-to-end. Install Cursor with Claude Code so you have a friendly UI for your AI pair programmer, run your first agentic commands together, and get oriented for the four days ahead with a live demo of where we're going.
Second Session
🔀 Setting up Git & Version Control
Build the foundation that makes everything else possible: version control. Get a hands-on intro to Git and GitHub — what a repo is, what a commit is, what a branch is — and set up your own account. Learn the permissions model that controls what Claude can and cannot touch.
Day
02
Tue · Jun 23
First Session
🧭 AI Coding Tool Landscape
Get a guided survey of the wider AI coding tool landscape — Lovable, Bolt, Replit, Google AI Studio, Codex, and Copilot — and learn when each one is the right choice for the job. Watch a live demo of an agentic engineering workflow so you can see exactly where we're headed.
Second Session
🤖 Building a sample app
You build a complete, working app from a single prompt in Claude Code. Practice the full handoff: start your MVP in Lovable, move it into Claude Code, and use Supabase as a lightweight database layer underneath. Every participant leaves Day 2 having shipped something real with AI.
Day
03
Wed · Jun 24
First Session
🔍 Editing an existing app
Learn how to direct AI through an existing SaaS codebase. Load real apps into Claude Code and navigate them confidently — reviewing git history, dependency health, and CVE vulnerabilities at a high level across three codebases. Reinforce the permissions model so you always know what Claude can and cannot change.
Second Session
➕ Adding a new feature to your SaaS app
Deliver real product features against a written spec. Learn to break specs into discrete prompts that AI can act on cleanly, review AI output critically, and master the tension between over-prompting and under-prompting. Walk away with a repeatable PM-led workflow for shipping AI-built features into production code.
day
04
Thu · Jun 25
First Session
🏢 Advancing the AI Engineering Culture Internally
Lead the AI-first transformation as a leader, not a passenger. Build a training plan for your existing dev and product teams that meets people where they are, decide what to do with engineers who remain anti-AI, and design incentive structures that turn AI-first culture into the way work actually gets done.
Second Session
🏁 Recap & Closing
You build a complete, working app from a single prompt in Claude Code. Practice the full handoff: start your MVP in Lovable, move it into Claude Code, and use Supabase as a lightweight database layer underneath. Every participant leaves Day 2 having shipped something real with AI.
Day
First Session · 9:00am–11:00am PT
Second Session · 12:00pm–2:00pm PT
Day
01
Mon · Jun 22
First Session
🗺️ First Contact
Open with a live demo of agentic engineering — see the destination before the setup. Survey the AI coding tool landscape: Lovable, Bolt, Replit, Google AI Studio, Cursor, Codex, Copilot, and where Claude Code fits. Quick refresher on fundamentals for anyone who needs it. Name the agentic loop principle that anchors the week.
Second Session
🛠️ AI Coding Tools Best Practices
Hands-on with Claude Code on a real prompt. Build a working app from scratch, iterate, extend to give the agent more authority. Close with show-and-tell discussion. Leave Day 1 having shipped something you built.
Day
02
Tue · Jun 23
First Session
📂 Loading Existing Code
Load a curated example codebase and navigate it confidently — git history, dependency health, CVE vulnerabilities. Practice context management as a named skill: what to load, what to leave out, when to scope down or start fresh. Master the permissions model. Surface the riskiest hotspots in code you didn't write or can't hold in your head.
Second Session
➕The AI-Readiness Audit
Run the audit against the codebase you just explored. CI on every push, pre-commit hooks, automated tests, linting, type checking, dependency scanning, observability hooks. What's there? What's missing? Why does each piece matter before Claude gets broader permissions? Bridge to Day 3: if Claude writes the code, something else needs to check it.
Day
03
Wed · Jun 24
First Session
🤖 Sandboxing & Permissions
Basic sandboxing (Claude Code scoped permissions, read-only contexts) through advanced sandboxing with devcontainers — isolated dev environments that earn auto mode. The progression from "permissions one at a time" to operating autonomously inside safe boundaries.
Second Session
✅ Auto-mode Workflows
Ship AI-generated code responsibly. Walk through the commit-per-discrete-change workflow, watch Claude catch and fix a deliberately broken test, then explore AI-assisted test writing with Chrome DevTools integration. Layer on AI-assisted code review (CodeRabbit, Copilot, Cubic), CVE and security scanning, and deployment automation that takes merged code all the way to a deployable artifact.
day
04
Thu · Jun 25
First Session
👥 The Agent Manager Thesis
Moving up the ladder of agentic development productivity - mapping where you are on a scale. "Code is cheap, don't over-plan." How to move from solo agentic coding to team coordination. Practice the PM Handoff — Product Owner and Engineer working as a tight pod — and how to hand off fast. Learn the team patterns and review rhythms that turn a 5–10x individual speedup into a real org-wide R&D acceleration.
Second Session
🏁 Recap & Closing
Bring it all together.  Frontier pointers: orchestrators, Skills & MCP for production systems, and more. Leave with a concrete plan to apply agentic AI coding across your entire company, and open Q&A on the hardest pieces of rolling this out.
00
Wildcard
Wildcard
Optional deep-dives
Depending on cohort interest and pacing, we may explore additional topics from this menu during the week:
  • Build a personal context MCP server
  • Skills & MCP workshop
  • Devcontainer hands-on
  • Multi-agent setups
The Instructors

Learn from practitioners, not theorists

The curriculum is built around hands-on skill development — not slides about AI, but actual practice with AI — with measurable before/after outcomes for every cohort.

Advanced Track Instructor
Patrick van Staveren
A software engineer and tech leader with 20+ years of experience who got deep into AI coding tools and couldn't stop talking about it. This course is what happened next.
Ryan Allis, Program Organizer
Program Organizer
Ryan Allis
CEO & Founder of SaasRise. Former founder/CEO of iContact, which he led to $50M in ARR and a $169M exit. Teaching the PM/Product Owner perspective throughout the program.
Steve Canfield, Assistant Instructor
Beginner Track Instructor
Steve Canfield
AI Software Engineer for SaasRise based in Tampa, Florida. Has spent the last year building daily with Cursor, Claude Code, Vercel, and Supabase — real practitioner, real workflows.
Who Should Attend

Built for your entire R&D team

For best results, we recommend enrolling at least one engineer and one product manager — the person who decides what gets built. The cost is per participant and you can enroll as many as you wish.

Software Engineers — any experience level
Engineering Managers — lead the AI transition
Product Managers — own the new AI-first PM workflow
Tech Leaders & CTOs — set direction for the whole org
Founders — get hands-on with the tools your team uses
Product Owners — decide what gets built and how to spec it
We recommend putting into the program at least one engineer and one product owner (the person deciding on the priority of what to build, which may be a founder, head of product, or a PM). You can also put your technology leadership or even your full R&D team through the program if desired. The program will be led by experienced AI software engineering leaders and taught in a way that allows Product Owners and Engineers to work together in pods for optimal efficiency.
From the Current Cohort

Real members. Real wins.

Screenshots from the cohort that's running right now — real-time shares from leaders putting the agentic engineering workflow into practice.

AI Ready Code

Is your codebase AI-ready?

A practical checklist of what should already be in place before your team starts shipping production code with AI. We'll review each item against your repos during the bootcamp.

What "AI-ready" actually means
Checklist Item
How to observe it
Continuous Integration
Automated checks that run on every push
Pre-commit hooks
Local gates that catch basic issues
Automated tests
Tests invoked from CI
Linting and formatting
Enforced style and basic correctness checks
Type checking
Depends on the language
Dependency scanning
Automated detection of outdated dependencies
AI-assisted code review
Independent automated review of changes
Deployment automation
Codified path to release
Observability
Error tracking, logging, monitoring SDKs wired in
We recommend putting into the program at least one engineer and one product owner (the person deciding on the priority of what to build, which may be a founder, head of product, or a PM). You can also put your technology leadership or even your full R&D team through the program if desired. The program will be led by experienced AI software engineering leaders and taught in a way that allows Product Owners and Engineers to work together in pods for optimal efficiency.
Pricing

Simple per-participant pricing

Volume discounts apply automatically based on team size. One-time payment per participant.

1 Participant
$5k
per person · one-time
3+ Participants
$4k
per person · one-time
Save $1,000/person
5+ Participants
$3.5k
per person · one-time
Save $1,500/person
30+ participants? If you'd like to enroll your entire engineering and product team, we will create a custom program tailored to your company. Reach out to us at saasrise.com for details and custom pricing.

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FAQs

AI Coding Bootcamp FAQs

Is the AI Coding Bootcamp suitable for non-developers?

Yes. The bootcamp runs two parallel tracks so every participant gets training calibrated to their role:

  • 🌱 Beginner Track — built for CEOs, founders, and product managers. No coding background required.
  • 🚀 Advanced Track — built for developers, engineers, coders, and CTOs going deep on agentic workflows.

Non-technical leaders often gain the most leverage by learning to direct AI coding workflows rather than write all the code themselves. We'll teach you everything you need to set up your AI coding workflow.

‍Outcome:

By the end of the program, non-technical participants on the Beginner Track will be able to:

  • Scope and design AI-powered products
  • Direct AI coding workflows effectively
  • Collaborate deeply with engineers
  • Ship faster without writing all the code themselves
What is the ideal group of participants from a company?
Recommended Setup:

For best results, we recommend enrolling participants across both tracks — at minimum:

  • 1 Product Owner on the Beginner Track — typically a founder, CEO, or product manager
  • 1 Engineer on the Advanced Track — who will serve as your primary builder and technical lead

The two tracks run in parallel and your participants split into the right room each day. This pod pairing allows you to:

  • Translate business needs into product requirements
  • Rapidly prototype and ship using AI tools
  • Build an internal “agentic engineering” capability
  • Have two internal champions for the new process
What's the schedule and time commitment?
The bootcamp runs Monday through Thursday, June 22–25, 2026, with 5 hours of live programming each day from 9am–2pm Pacific Time.

Each day has two sessions with an hour break in the middle for hands-on practice and Q&A:

  • First Session: 9:00am–11:00am PT
  • Break: 11:00am–12:00pm PT (practicing & Q&A)
  • Second Session: 12:00pm–2:00pm PT

Plan for around 16 hours of live attendance across the week, plus any time you spend practicing between sessions. All sessions are recorded so you can catch up if you miss one or want to revisit material later.

How much does the program cost?
Pricing is a one-time payment per participant with automatic volume discounts based on team size:
  • 1 Participant: $5,000 per person
  • 2 Participants: $4,500 per person — save $500/person
  • 3+ Participants: $4,000 per person — save $1,000/person
  • 5+ Participants: $3,500 per person — save $1,500/person

The cost is per participant regardless of which track they enroll in, and you can mix and match across the Beginner and Advanced Tracks.