English | Size: 6.1 GB
Genre: eLearning
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
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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.
Spec First Planning and 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
Universal AI Setup System
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
AI Tools Setup And Usage
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
Enterprise Use and Security
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
Asynchronous agents
Understand the different UXs that exist for agents and what they are good (and not good) for
Parallel agent tooling, approaches, and limitations
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