Q & A: AI Coding Tools and Vibe-Coding

Hosted by Aki Wijesundara, PhD and Paul Iusztin

257 students

What you'll learn

AI Pair-Programming in Practice

the copilots and agent tools that genuinely cut build time.

Vibe-Coding Workflow

turning free-form prompts into clean, production-ready code.

Context Engineering

how to feed LLMs just enough code, docs, and tests to slash cost, latency, and hallucinations.

Ship Before Your Coffee Cools

our three-step routine for going from first prompt to live link in minutes.

Why this topic matters

Speed wins. AI-native workflows let small teams out-ship whole orgs—but only if you fuse code, context & vibe. In 30 min you’ll see how AI pair-programming, context engineering and vibe-coding slash build time, cut token costs, and turn loose prompts into production. Ask anything: best copilot for legacy, token-cost caps, agent-powered QA—nothing’s off-limits.

You'll learn from

Aki Wijesundara, PhD

AI & ML Lead | Ex-Google Ambassador

🚀 Leading AI advisor to multiple startups, Ph.D. in ML and ex‑Google AI Accelerator lead, Akshika pairs cutting‑edge LLM know‑how with a builder’s mindset—turning ideas into AI‑first products at speed. That expertise now powers his rapid‑build AI software program.

Paul Iusztin

Senior AI Engineer & founder of Decoding ML

Co-author of The LLM Engineer’s Handbook (15 k+ sold). 8 yrs building production AI & MLOps systems at Metaphysic, CoreAI, Continental and a stealth U.S. startup; 70k+ followers sharing battle-tested ML insights.

Previously at

Google
MIT research group
University of Oxford
King's College London
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