I’m Not Writing Code Anymore—Now What? | The 7-Step Workflow
summary
Argues developers shift from coding to orchestrating AI with a practical 7-step workflow that assigns planning, single‑responsibility tasks, strict context, merciless review, iteration, and teaching agents. Recommends declarative prompting, using Claude Code, Codex, Cursor and models like MiniMax/DeepSeek/Kimi, keeping a Claude.md and .claudignore, running test-first TDD for agents, using Git worktrees and rewind to parallelize and revert, creating review/test sub‑agents and skills, and automating repeated prompts so AI improves and mistakes don’t repeat.
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chapters (31)
- 0:00Introduction
- 0:17Software Development Is Changing Rapidly with AI
- 0:41Two AI Coding Models: AI as Copilot vs Developer as Copilot to AI
- 1:32The Mental Shift Required for AI-First Development
- 1:56A 7-Step Workflow for Effective AI-Assisted Development
- 2:07Step 1: Planning Before Coding with AI Agents
- 2:22Where AI Helps Most and Where It Still Struggles
- 3:09Moving from Imperative Prompting to Declarative Prompting
- 4:24Combining Exploratory AI Sessions with Upfront Planning
- 5:30Front-Loading Thinking for Better AI Coding Results
- 6:33Tip: Ask Claude to Explain Its Approach Before Writing Code
- 7:09Step 2: Break Work into Single-Responsibility Tasks
- 9:07Step 3: Be Specific When Prompting AI Coding Agents
- 10:49Showing AI Agents Examples of High-Quality Code
- 11:26Asking the AI to Explain Its Assumptions
- 12:35Step 4: Context Is Everything for AI Coding
- 13:27Using Claude.md, Memory, and Ignore Files to Improve Context
- 15:16Step 5: Review AI-Generated Code Mercilessly
- 16:04Verify the Entire System, Not Just Generated Code
- 17:05Using Test-First Development to Guide AI Agents
- 18:26Creating Reusable Review and Testing Commands
- 19:48Step 6: Iterating on AI-Generated Solutions
- 20:15Why AI Agents Often Overcomplicate Solutions
- 21:13Asking Clarifying Questions Before Rewriting Code
- 21:55Using Git Worktrees and Parallel Sessions to Iterate Faster
- 22:43Step 7: Teach the AI Agent to Improve Over Time
- 23:21Every AI Session Produces Code and Reusable Knowledge
- 23:43Updating Claude.md and Skills Based on Corrections
- 24:52Turning Repeated Prompts into Workflows, Skills, and Sub-Agents
- 25:33Agentic Coding Is Powerful Today—and Will Only Improve
- 25:53Final Message: Start Early to Build Long-Term AI Leverage
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