In recent months, the demand for a self-paced version of Elite AI Assisted Coding has been overwhelming. It has surprised and delighted me.
I’m very happy to announce that, together with Maven, I’m launching a self-paced cohort.
The course, on your schedule
If the timing or pricing of the live cohorts didn’t work for you, I hope this opens the door:
Start anytime. Get instant access when you enrol.
Set your own pace. Fit the lessons around work and life. Pause, practise and revisit the material whenever you need to.
Introductory price: US$650 through November 2026.
That’s exactly half the price of the original live cohort.
Enrol in the self-paced cohort on Maven →
Agentic Engineering is now part of the job
Over the past year, agentic engineering and AI-assisted software development have moved from experimentation into mainstream practice.
AI is part of everyday development. In Stack Overflow’s 2025 survey, 51% of professional developers already reported using AI tools daily.
Agents are doing real engineering work. They’re contributing to production workflows, from implementation and testing to debugging and documentation.
The skills extend across roles. Developers need dependable workflows. Engineering leaders need repeatable team practices. Product professionals have new opportunities to build and contribute directly.
For everyone involved in building software, upskilling is now a must. This is the time to develop a solid understanding of context, specifications, delegation and verification.
What you’ll learn
This is the most comprehensive course on the market for professional AI-assisted software development.
Context engineering. Build a portable context stack from documentation, architecture, conventions, rules and agent skills. Give agents the understanding they need to work effectively in your project and across a team.
Specification-driven development. Turn ideas into clear briefs with intent, constraints and acceptance criteria. Use specificity and planning to get more dependable results and reduce rework.
Agentic software engineering. Explore coding modalities, delegation, sub-agents, orchestration and harness engineering. Learn how to choose the right level of autonomy and stay in control.
AI across the development lifecycle. Apply these practices to features, refactoring, migrations, code review, testing, documentation, pull requests and DevOps.
Agents at scale. Work with background and asynchronous agents, parallel tasks, autonomous execution and Continuous AI. Cover security, sandboxing, secrets, measurement and enterprise adoption.
What’s included
Video lessons and the course reader. A substantial body of teaching and reference material to work through on your own schedule.
Demonstrations and homework walkthroughs. See the techniques in practice, then apply them yourself. Homework includes fundamentals and more ambitious stretch goals.
The private Discord community. Ask questions and get professional help with any challenge, share your experience, and discuss real projects with me and other course participants.
Lifetime access. Return to course content, recordings and the community as your work develops.
A certificate of completion. Share your new skills with your employer or on LinkedIn.
Bring your tools and your codebase
Use your preferred AI tool. Claude Code, Codex, GitHub Copilot, Cursor, OpenCode and others. The course teaches transferable principles.
Work in your own language. Examples and homework include Python and TypeScript. You can complete assignments in your own language and codebase.
No prior AI or machine learning training required. The focus is practical software development.
Built on successful live cohorts
Five-star feedback from students, with a world-class NPS.
The live cohorts have brought together developers, engineering leaders and other software professionals. Their feedback highlights:
Immediate application. Putting the lessons to work in existing projects and workflows.
Technical depth. Developing a more structured approach to working with agents.
Greater confidence and effectiveness. Understanding how to guide the tools and assess their output.
Read more about the course and feedback from previous students →
Join when you’re ready
Thank you to everyone who asked for a self-paced option. I’m excited to welcome more of you to the course.
Join the self-paced cohort on Maven →
Start anytime. Learn at your own pace. Introductory price: US$650 through November 2026.