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.
Elite AI Assisted Coding
19h 27m 48s
English
Paid
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.
About the Authors
Eleanor Berger
Eleanor Berger is an AI researcher and educator focused on the AI-coding workflow at the senior-engineer level — particularly the patterns for using AI-coding tools effectively in real engineering work rather than as side experiments.
Her CourseFlix listing carries Elite AI Assisted Coding — a structured treatment of using AI-coding tools (Claude Code, Cursor, Aider) at the level of someone who has integrated them deeply into their daily engineering practice, covering the prompt patterns, project-context strategies, and the workflow disciplines that separate effective AI-coding from spam.
Material is paid and aimed at experienced developers ready to make AI-coding tools a core part of their craft. For broader content, see CourseFlix's AI-Assisted Coding category page.
Isaac Flath
Isaac Flath is a US software engineer and AI educator (a long-running fast.ai community member) focused on the AI-assisted-coding workflow at the senior-engineer level.
His CourseFlix listing carries Elite AI Assisted Coding — a structured treatment of using AI-coding tools (Claude Code, Cursor, Aider) at the level of someone who has integrated them deeply into their daily engineering practice rather than treating them as side experiments.
Material is paid and aimed at experienced developers ready to make AI-coding tools a core part of their craft. For broader content, see CourseFlix's AI-Assisted Coding category page.
Watch Online 24 lessons
0:00
/ #1: 001 Introduction to AI-Assisted Software Development
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 |
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Course content
24 lessons · 19h 27m 48sShow all 24 lessons
- 1 001 Introduction to AI-Assisted Software Development 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
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Frequently asked questions
What is Elite AI Assisted Coding about?
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…
Who teaches Elite AI Assisted Coding?
Elite AI Assisted Coding is taught by Eleanor Berger, Isaac Flath. You can find more courses by these instructors on the corresponding source pages.
How long is Elite AI Assisted Coding?
Elite AI Assisted Coding contains 24 lessons with a total runtime of 19 hours 27 minutes. All lessons are available to watch online at your own pace.
Is Elite AI Assisted Coding free to watch?
Elite AI Assisted Coding is part of CourseFlix's premium catalog. A CourseFlix subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch Elite AI Assisted Coding online?
Elite AI Assisted Coding is available to watch online on CourseFlix at https://courseflix.net/course/elite-ai-assisted-coding. The page hosts every lesson with the integrated video player; no download is required.