Elite AI Assisted Coding
Course description
Learn how to turn standard AI assistants into true coding partners that understand your style, context, and project specifics. The course will teach you how to configure, adapt, and develop any AI tools (Cursor, Copilot, Amp, Claude Code, Windsurf, etc.) so that they work for you, not the other way around.
Read more about the course
Course Value:
Stop wasting time on generic AI prompts. Learn how to create your own intelligent programming assistant that understands your code, architecture, and tasks—regardless of the platform you use.
What You Will Learn:
- Building a universal context system for all AI tools
- Automating context updates based on your real patterns
- Analyzing and improving interaction with AI to enhance accuracy
- Developing MCP servers and automation tools
- Integrating AI into corporate processes considering security and compliance
- Optimizing team collaboration and CI/CD with AI agents
Who This Course Is For:
Developers who:
- Already use AI for programming but want to take efficiency to the next level
- Aspire to personalized, productive AI tools
- Prefer practical skills and real results over theory
- Work in teams where integrating AI into corporate processes is important
Instructors:
- Eleanor Berger — an engineer and leader in the field of AI with experience at Microsoft and Google, expert in DevOps, Applied AI, and engineering management.
- Isaac Flatt — an expert in development efficiency, consultant to companies, and a researcher in AI.
Companies We Have Worked With:
Microsoft, Google, GitHub, Canonical, SpecStory, Travel & Leisure, Cable & Wireless Communications, Answer AI, and others.
Companies Our Students Come From:
Amazon (AWS), Microsoft, Google, X, Shopify, Cisco, LinkedIn, Red Hat, DocuSign, Qualcomm, Monster, Booz Allen Hamilton, TrustLayer, and more.
Bottom Line:
After the course, you will not only be able to use AI but build an effective development ecosystem around it—from individual productivity to team implementation in production.
Watch Online
All Course Lessons (24)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | 001 Introduction to AI-Assisted Software Development Demo | 57:57 | |
| 2 | 002 Context Engineering & Frictionless Setup | 01:07:48 | |
| 3 | 003 Optional Part 1 Office Hours | 01:03:23 | |
| 4 | 004 Part 1 Homework - Live Practice Session | 01:12:52 | |
| 5 | 005 Zero to plan.md using voice transcription | 16:54 | |
| 6 | 006 Working Incrementally with AI Todos and Git | 26:53 | |
| 7 | 007 Adding Tools via MCP | 08:46 | |
| 8 | 008 Week 1 Recorded Breakdowns | 11:42 | |
| 9 | 009 Sandboxed Filesystem for AI Coding with Codespaces | 08:35 | |
| 10 | 010 Interactive Agents & Spec‑First Planning | 01:06:13 | |
| 11 | 011 AI Code Review, PR Orchestration & Security | 57:53 | |
| 12 | 012 Optional Part 2 Office Hours | 01:15:23 | |
| 13 | 013 Optional Part 2 Homework - Live Practice Session | 01:09:07 | |
| 14 | 014 Optional Workshop Investigating and Fixing a Complex Bug with AI Tooling | 01:30:00 | |
| 15 | 015 Defining Good Code for LLM Context | 19:14 | |
| 16 | 016 Using an Agent To Identify Tech Debt | 16:39 | |
| 17 | 017 LLMs in the CLI using the unix philosophy | 16:37 | |
| 18 | 018 AsyncBackground Agents & Dynamic Context | 01:05:12 | |
| 19 | 019 Parallelization, Measuring Efficacy, & Continuous Improvement | 01:03:12 | |
| 20 | 020 Optional Part 3 Office Hourse | 01:02:58 | |
| 21 | 021 Optional Part 3 Homework - Live Practice Session | 01:03:48 | |
| 22 | 022 RepoPrompt - How it helps build context | 48:20 | |
| 23 | 023 SpecStory, SpecFlow, and Spec-Driven Dev | 59:20 | |
| 24 | 024 How I Learned to Stop Worrying and Love AI Agents | 59:02 |
Unlock unlimited learning
Get instant access to all 23 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionBooks
Read Book Elite AI Assisted Coding
| # | Title |
|---|---|
| 1 | Lesson 1 — Orientation & Intro to AI-Assisted Coding |
| 2 | Lesson 2 — Context Engineering & Frictionless Setup |
| 3 | Lesson 3 — Interactive Coding, Control & Spec-Driven Development |
| 4 | Lesson 4 — AI-Assisted Operations & Security |
| 5 | Lesson 5 — Background Async Agents & Continuous AI |
| 6 | Lesson 6 — Parallelization, Efficiency, Efficacy, & Continuous Improvement |
Comments
0 commentsWant to join the conversation?
Sign in to commentSimilar courses
Local LLMs via Ollama & LM Studio - The Practical Guide
Perplexity AI for Professionals
Learn MCP (Model Context Protocol)
