Transform generic AI assistants into personalized coding partners
Stop wasting time with generic AI suggestions. Learn to create a personalized AI coding partner that actually understands YOUR specific context and requirements, regardless of which AI tool you use (Cursor, Copilot, Amp, Claude Code, Windsurf, etc.).
・Focus on real-world applications
・Vendor-agnostic approach ensures long-term value
・Continuous improvement through automated pattern analysis
・Practical tools you'll use daily in production environments
-
Course Overview
・Duration: 3 weeks, 12 live sessions
・Format: Cohort-based course
・Goal: Transform generic AI assistants into personalized coding partners that understand your codebase, patterns, and needs
Each part (week) of the course includes:
・2 live lessons
・Office hours session (Q&A and discussion)
・Live practice session
・Homework assignment (with both beginner-friendly and stretch exercises)
・Pre-reads and lesson materials
・Deep-dive collections (optional) for further study
In addition, learning continues with:
・Questions and discussions in the course Discord server
・Guest lectures
・Student exchange and collaboration
Companies Our Students Are From
・Amazon (AWS)
・Microsoft
・X
・Shopify
・Cisco
・Red Hat
・DocuSign
・Booz Allen Hamilton
・and more
What you’ll learn
Make it code like you do. Turn generic AI assistants into coding partners that actually get your style and have the right context.
Learn how to leverage markdown instructions such as AGENTS.md, plan.md, and todos.md files
Understand Generic, Curated, and Personalized context, how to create each, and when to invest in personalized context
Templates and prompts that help guide through the process to make getting started easy
Build context systems that work across ALL major AI tools (no vendor lock-in)
Automated Context Evolution: Automate context updates based on actual coding patterns
Pattern Mining & Analysis: Turn every AI mistake into a learning opportunity
Understand tool types and when to use them (CLI vs MCP vs Skills vs toolboxes, etc.)
Build custom tools to improve productivity and agent results
Design tools and understand how they help with testing, security, and enterprise uses
Use sandboxes to improve security with docker, devcontainers, and other approaches
Set up and use AI in CI for tech debt analysis, code reviews, and additional testing
Understand how to use context for large codebases effectively
Understand the different UXs that exist for agents and what they are good (and not good) for
Parallel agent tooling, approaches, and limitations
Who this course is for
Developers who want to build technically solid solutions with confidence
Coders who want to move from copy-and-paste to consistent and reliable AI-assisted development skills
Engineers and leaders who need to adopt and grow dependable and repeatable AI-assisted software development processes
What's included
Live sessions
Learn directly from Eleanor Berger & Isaac Flath in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
12 live sessions • 19 lessons
Week 1
Jan
12
Introduction to AI-Assisted Software Development
Jan
13
Context Engineering & Frictionless Setup
Jan
14
Optional: Part 1 Office Hours
Jan
15
Part 1 Homework - Live Practice Session
L1: Context Essentials
L2: Incremental Work
L3: Advanced Context Setup
Week 2
Jan
19
Interactive Agents & Spec‑First Planning
Jan
20
AI Code Review, PR Orchestration & Security
Jan
21
Optional: Part 2 Office Hours
Jan
22
Optional: Part 2 Homework - Live Practice Session
L1: Defining what you want
L2: Customized Tooling
L3: Dynamic adhoc workflows
Free lesson
Build Your Own AI Coding Agent from Scratch
Build a simple AI coding agent
Hack together a tiny coding agent with us, end to end.
Build a mental model of agents
Understand how AI coding agents work so you can use them better.
Practice AI-assisted coding best practices
Use context management, clear specs, small steps, interactive and structured flows.
Schedule
Live sessions
4 hrs / week
Mon, Jan 12
6:00 PM—7:00 PM (UTC)
Tue, Jan 13
6:00 PM—7:00 PM (UTC)
Wed, Jan 14
6:00 PM—7:00 PM (UTC)
Projects
1-4 hrs / week
Projects are designed in multiple levels so students can focus on the basics, or continue to scale to advanced practical usage
Async content
1-4 hrs / week
Projects are designed in multiple levels so students can focus on the basics, or continue to scale to advanced practical usage
Frequently asked questions
Save 25% (ends tomorrow)
$2,000
USD