How I Actually Use Coding Agents

Description

► Explore the Towards AI mentorship program: https://www.louisbouchard.ai/towards-ai-mentorship-for-ai-engineers/ ► Read the English article: https://www.louisbouchard.ai/ai-coding-workflows-that-ship/ How do you use AI coding agents to ship code without losing control of architecture, reviews, and tests? In this video, Louis-François Bouchard breaks down the three workflows the Towards AI engineering team uses with Claude Code, OpenAI Codex, and Cursor: context first, plan then code, and strong-model planning with fast-model implementation. You will also learn how to protect the context window, debug from raw evidence, generate and run tests, review AI-generated diffs, use independent engineer and tester agents, and turn repeated successful loops into reusable skills. Chapters: 00:00 - Introduction (remember to subscribe!!): The Gap Between Demos and Shipped Products 02:38 - The One Golden Rule: Thinking vs. Typing 03:00 - The Three Layers: Interface, Brain, and Context 04:26 - Mastering Context: Push vs. Pull Strategies 05:45 - Using Skills as Hybrid Context 07:24 - Optimizing the Context Window (Session Management) 08:35 - Workflow 1: Context-First Execution 09:20 - Workflow 2: Plan-then-Code (The Interview Prompt) 10:24 - Workflow 3: The Model Swap Strategy 10:57 - Debugging with Agents: Raw Evidence vs. Theories 12:38 - Why You Must Bake Tests Into Every Prompt 13:10 - Leveraging Computer Use for Front-End Verification 13:44 - The Team Productivity Paradox and Over-Reliance 15:43 - 6 Guard Rails for Efficient AI Coding 17:32 - Advanced: Multi-Agent Autonomous Systems 18:48 - Getting Started: Building Your First Rule Files #claudecode #codex #agenticcoding