Google Stitch + Claude Code: Build Professional Websites in Hours, Not Weeks
A practical guide to combining Google Stitch (free AI design tool) with Claude Code to create branded, production-ready websites — without the generic AI template look.
A practical guide to combining Google Stitch (free AI design tool) with Claude Code to create branded, production-ready websites — without the generic AI template look.
A practical, hands-on guide to automating Developer, QC, and Tech Lead workflows across three maturity levels — Manual, Agentic (Claude Code), and Fully Autonomous (NanoClaw). With mermaid diagrams, real configs, BDD examples, and step-by-step instructions you can implement today.
A comprehensive guide to ClawTeam — the open-source Agent Swarm Intelligence framework. Learn how to set up Dev, QC, and Tech Lead agents on a single laptop, handle security and performance concerns, prevent AI quality issues, and run a solo complex project with production-grade workflows.
Most people are stuck in Phase 1 of AI — asking questions and doing work themselves. Phase 2 is Agents: you set a goal, the agent delivers results. Here's the complete breakdown of what changed, how it works, and why it matters.
How Spec-Driven Development (SDD) transforms agentic AI from a vibe-coding toy into a production-ready engineering discipline. Real project experiences, frameworks, tooling, and hard lessons from leading teams with Claude Code, Kiro, and BMAD.
Deep dive into AI agent security threats in 2026. Covers prompt injection, data exfiltration, OpenClaw vulnerabilities, Claude Code hardening, and a complete defense architecture for teams deploying AI agents in client projects.
The definitive guide to building AI Skills across Claude Code, GitHub Copilot, and Google Antigravity. Architecture deep-dive, SKILL.md standard, diagrams, practical examples, and best practices.
Plan-before-code workflow, subagents for parallel tasks, context management strategies, debugging with Claude, the anti-patterns that waste time, and honest lessons from 6 months of daily production use.
Writing custom skills with SKILL.md, slash commands, the official and community skill repos, GitHub PR automation with @claude mentions, GitHub Actions integration, and team workflow patterns.
What MCP is, how to configure servers in .mcp.json, the top servers by category (GitHub, Playwright, databases, search, design, cloud), performance pitfalls, and why you should limit yourself to 2-3 per project.
VS Code extension setup, Command Palette workflows, inline diffs, @-mentions for file context, multi-tab conversations, auto-accept mode, Extended Thinking, and the daily habits that actually stick.
Installing Claude Code, writing an effective CLAUDE.md, the /init command, memory architecture, .claude/ directory structure, and turning a generic AI into a project-aware pair programmer.
I've used Claude Code, GitHub Copilot, and other AI tools every day for over a year. Here's what actually saves time, what wastes it, and the productivity trap nobody talks about.
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