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Charted Coding: Beyond AI-Assisted TDD

A Practical Recipe for Keeping AI Coding Agents Under Control

Recording Available Until May 16, 2026

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Speed without loss of control

AI coding agents promise tremendous speed—but without clear guidelines, they quickly lead to chaotic codebases, endless review loops, and rising maintenance costs. Charted Coding shows you a new, structured way to use AI productively without losing control over architecture, design, and quality.

In this live event, you’ll learn how to consciously control AI-assisted development: you define the framework, and AI accelerates implementation. The result is not “vibe coding,” but predictable progress, clean reviews, and code that your entire team trusts.

Control plane vs. execution plane! This is how AI remains a tool.

Modern software systems make a clear distinction between the control plane and the execution plane and we apply precisely this principle to AI-assisted development. In this event, Younes Jaaidi will show you a tried-and-tested recipe for charted coding:

You start with design notes as a strategic guideline, build targeted scaffolding and WIP code, and use tests as a navigation tool to guide AI step by step. Instead of uncontrolled changes, responsibility remains clearly distributed:
Humans control architecture, boundaries, and decisions – AI delivers speed, suggestions, and refactorings within this framework.

Using concrete examples, you will also learn how MCP servers, WallabyJS, and modern toolchains help avoid review fatigue and make AI workflows predictable. The result is code that not only grows quickly but also remains maintainable in the long term.

Join us and learn...

how to control AI coding agents through clear control plane boundaries instead of leaving the architecture up to them.
how design notes, scaffolding, and tests make AI development predictable and review-friendly.
how to avoid review fatigue and uncontrolled changes, even as the scope of your project grows.
how to gain speed without losing trust, maintainability, and code quality.

Expert Knowledge for

Software developers who want to use AI coding agents in a targeted manner without sacrificing the quality, readability, and testability of their code.
Tech leads and senior engineers who are responsible for architecture and code reviews and want to integrate AI in a way that makes teams faster, not overwhelmed.
Engineering teams & AI early adopters who want to be pioneers and are looking for a structured, team-friendly approach that goes beyond “AI just writes code.”

Get to know our expert

Younes Jaaidi - Marmicode

Younes Jaaidi is an Nx Champion and Google Developer Expert for Angular & Web Technologies. As a trainer, eXtreme programming coach, and tech advisor, he helps teams work more efficiently, develop high-quality software, and establish sustainable development practices. His focus is on collective responsibility, knowledge sharing, and pragmatic software development. In addition to his work, he is actively involved in the open source community, writes technical articles, and speaks at meetups and conferences.

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