Start every project in Claude (preferably Opus) inside a Project. The brainstorming and document generation quality is unmatched. This is non-negotiable.
Use Cline or Claude Code for execution. Both work. Cline has built-in Plan/Act modes. Claude Code has plan mode too. Pick what fits your workflow.
Use Claude Projects for ongoing context. Sync your GitHub repo so Claude always knows where the project stands.
Every project starts here. A Claude Project gives you:
How to use it:
When to come back:
Cline is a VS Code extension with two explicit modes:
Plan Mode: AI reads your project, proposes an approach, asks clarifying questions.
Act Mode: AI executes the plan, creating/editing files and running commands.
This matches the methodology perfectly:
Why terminal approval matters:
Cline wants to run: rm -rf node_modules && npm install
[Approve] [Reject] [Edit]
You see every command before it runs. This prevents disasters.
Setup:
autoApproveCommands: false (at least initially)CLI tool for developers who prefer terminal workflows.
$ claude "plan task 3.2 from the sprint plan"
Key features for this methodology:
claude --plan or ask it to plan before acting. Critical for fixes and debugging..clinerules for Cline.When to use Claude Code vs Cline:
When to use Cline instead:
Both are valid. The methodology works with either. The important thing is: always plan before acting.
| Phase | Tool | Why |
|---|---|---|
| Initial brainstorm | Claude (Opus, in a Project) | Best reasoning, persistent context |
| Foundation docs | Claude (same conversation) | Keeps brainstorm context |
| Task execution | Cline or Claude Code | Plan → Act → Verify cycle |
| Fixes & debugging | Cline or Claude Code | Plan mode first, always |
| New features | Claude (Project with repo synced) | Strategic discussion first |
| Phase audits | Claude (fresh conversation) | Fresh eyes, no dev context |
| Quick tweaks | Claude Code | Fast, low overhead |
Extended thinking is when AI reasons through a problem before responding. Without it:
Simple prompt → shallow answer:
“Design a matching algorithm”
AI: “Here’s cosine similarity…” [generic solution]
With extended thinking:
AI reasons: “1000 users, needs to be fast, budget constraints, vector DB might be overkill for MVP…”
AI: “For your MVP scale, simple tag overlap will be faster and cheaper. Here’s why, and here’s when you’d upgrade…”
Extended thinking catches problems before they become expensive.
| Task Type | Tokens | Approx. Cost |
|---|---|---|
| Simple task | 5-10k | $0.05-0.15 |
| Medium task | 15-25k | $0.15-0.30 |
| Complex task | 30-50k | $0.30-0.60 |
| Brainstorm session | 50-100k | $1-3 |
Typical MVP (25-35 tasks + brainstorming): $200-500
The methodology adds ~20% overhead (documentation, scoring, audits). It saves 10x that in avoided rework.
This methodology built RISE — a desktop Electron app — in 4 weeks for ~$400. And the VH Conference Toolkit — a suite of open-source event tools — using the same process with thorough sprint-based documentation.
Next: The Brainstorming Session — The conversation that prevents expensive mistakes.