AI-Assisted Coding: from Copilot to Cursor to Claude

You've tried the tools. You've accepted a suggestion here and there. But it's not part of how you actually work yet — and that gap is costing you time every single day. This course closes it.

Duration: 3 weeks
Live sessions: 2× / week, 90 min
Cohort size: 10–15 developers
Investment: $100–150 (tools included)

Apply for this cohort →See what you'll learn

// you type a comment, it suggests one line
function validateEmail(input) {
+   return /^[^\s@]+@[^\s@]+\.[^\s@]+$/.test(input);
}
// stops there. you're still driving every other line.

This is the arc of the course: from accepting suggestions → to editing with AI in the loop → to delegating real tasks and reviewing the output.

The problem

You're not behind on AI. You're behind on adoption.

“I've heard about these AI coding tools but I'm not sure I'm using them properly — or getting much out of them. I still write most of my code manually. I don't want to fall behind but I don't know where to start.”

That's the honest starting point for most developers on this course. It isn't a lack of awareness — most have tried Copilot, pasted a stuck function into ChatGPT once or twice. What's missing is a consistent, AI-augmented way of working. Left alone, that gap compounds: every week you don't close it is productivity left on the table.

Why this course

Built for practical adoption, not another demo

The tool landscape is well documented already. What's missing is the practice layer — this course exists to build that.

Three tools, one arc

You'll work across Copilot, Cursor, and Claude — not as a feature tour, but as a deliberate progression from suggestion → edit → delegation.

Your own codebase

Every assignment runs against real work you brought with you — not toy problems. What you build in the course, you keep using after it.

Taught by a practitioner

Led by a working senior developer or CTO who uses agentic tools daily — not a trainer reading from tool documentation.

Any seniority, real bar

Open to developers at any level who haven't yet made AI tools core to their workflow — accessible to mid-level, still sharp enough for seniors.

Small, focused cohort

Capped at 10–15 developers so problem-based sessions stay hands-on, not lecture-style.

Tool access included

Your $100–150 covers tool access for the course — no separate subscriptions to sort out before you can start.

What you'll be able to do

By the end of week three

Set up and configure at least two AI coding tools (e.g. Copilot, Cursor, Claude) in your working environment.

Use AI to generate boilerplate, write and run tests, refactor code, and document legacy codebases.

Evaluate AI-generated output critically — knowing when to trust it, when to correct it, and when to discard it.

Describe your own AI readiness level and identify the next step in your workflow evolution.

The run of the course

Three weeks, six sessions

Problem-based assignments run against your own codebase between sessions.

Week 1 · Getting AI into your daily loop

2 sessions

setupConfigure Copilot, Cursor, and Claude in your own working environmentSession 1
first-winGenerate boilerplate and get comfortable accepting (and rejecting) suggestionsSession 2

Week 2 · Applying it to real work

2 sessions

testsUse AI to write and run tests against your own codebaseSession 3
refactorRefactor and document legacy code with AI in the loopSession 4

Week 3 · Judgment and workflow evolution

2 sessions

evaluateBuild the habit of critically evaluating AI output before you ship itSession 5
next-stepMap your own AI readiness level and your next workflow stepSession 6 · wrap-up

Who teaches this

A practitioner, not a trainer

Uses agentic AI tools daily · not a professional trainer

A working senior developer or CTO

Someone the cohort would recognise as a peer, or an aspirational one — a practitioner who speaks to real trade-offs and mistakes made, not a vendor pitch. Content is drawn from Cursor's documentation, Anthropic's prompt engineering guide, and GitHub Copilot tutorials, curated and contextualised by the facilitator. Tunga Academy sequences it and adds the live practice layer that self-study can't replicate.

Logistics

The essentials

Format: Live, cohort-based
Who it's for: Devs not yet AI-native
Prerequisites: None
Price: $100–150

Reserve your spot

Apply for the next cohort

Cohorts are capped at 15 to keep sessions hands-on. Tell us where you're at and we'll confirm your seat.

application.form

Stop leaving productivity on the table.

Three weeks, one small cohort, three tools — and a workflow you'll still be using long after the course ends.

Apply for this cohort →