Toolchain & Development Frameworks
Knowing which tool to use—and when—is half the battle.
This category covers the practical side of AI-assisted development: choosing the right tools, configuring them effectively, and building workflows that scale. From comparing prototyping platforms to mastering context management.
Articles in This Category
| Article | Author | Key Question |
|---|---|---|
| Claude Code Swarms | Addy Osmani | How do you coordinate multiple AI agents on a single project? |
| How to Write Good Specs for AI Agents | Addy Osmani | What makes a specification effective for AI consumption? |
| AI-Driven Prototyping: v0, Bolt, and Lovable Compared | Addy Osmani | Which AI prototyping tool fits your needs? |
| Why I Use Cline for AI Engineering | Addy Osmani | What makes Cline stand out for serious engineering work? |
| AGENTS.md vs Skills | Vercel Team | Which context management approach actually works better? |
| The Complete Guide to Building Skills for Claude | Anthropic | How do you create effective, reusable Skills for Claude? |
| We Removed 80% of Our Agent's Tools | Vercel Team | Does simplifying an agent's toolset improve performance? |
Reading Recommendations
- Setting up your workflow? Start with "AGENTS.md vs Skills" and "Good Specs for AI Agents"
- Choosing a prototyping tool? Read the v0/Bolt/Lovable comparison
- Scaling up? Explore "Claude Code Swarms" and "Building Skills for Claude"
