Workflows & Guides
Practical, step-by-step workflows for getting real work done with AI agents — from prompt-to-PR pipelines and design-to-code handoffs to backend tasks like auth, databases and cron jobs. Each guide focuses on repeatable process, not one-off tricks.
The goal is to help you direct an AI agent like a senior engineer directs a team: clear specs, verifiable output and a workflow that scales beyond a single prompt.
No-Code Interactions in Divi 5 vs Custom JavaScript: When To Use Which
Divi 5 Interactions and Canvases build modals, panels and popups without code. We draw the line between no-code triggers and where you still need custom JavaScript.
MCP Isn't Enough: Skills, Hooks, Plugins, and Packaged Workflows
MCP gives an agent tools, but it does not capture how your team actually works. The layer above MCP — skills, hooks and plugins — is where repeated prompts become reusable workflows: on-demand knowledge, deterministic guardrails, and packaged bundles you install in one step. Here is what each does and when to reach for it.
Always-On Coding Agents: When the AI Becomes Part of CI/CD
Coding agents are moving from the editor into the pipeline: triggered by a merged PR, a new Linear issue, a PagerDuty incident or a nightly cron. This guide covers what Cursor Automations and Claude Code routines can do, which jobs fit, and where to keep a human in the loop.
Subagents Everywhere: How to Split a Big Task Across Specialized Agents
Subagents let you hand parts of a big task to specialized agents — research, test, security, frontend, refactor — each with its own tools and context window. This guide shows how to define them in Gemini CLI and Claude Code, and when parallelizing actually helps versus when it wastes tokens.
AGENTS.md vs CLAUDE.md vs Cursor Rules vs Gemini Conductor
Every serious AI coding agent now reads a project rules file before it touches your code. This guide compares AGENTS.md, CLAUDE.md, Cursor Rules and Gemini Conductor, and shows exactly what to write so agents follow your standards, build commands and architecture.
How to Launch a Mini SaaS with Hostinger Horizons and Subscription Payments
A practical walkthrough — idea, prompt, backend, Stripe paywall, subscribers — to launch a small paid SaaS with Hostinger Horizons subscriptions, no code.
Semrush Rebuilt Its Content Pipeline in Claude Code — the Transferable Part Isn't the Prompts
n8n handled the research and failed at drafting, so Semrush rebuilt the pipeline as nine chained Claude Code skills that pass files between steps. The architecture is worth copying, and so is the reframing: hallucinations didn't stop, they got twenty times cheaper to catch.
How to Self-Host n8n on a VPS: A Practical Guide
Self-hosting n8n is simpler than it looks: a small always-on VPS, Docker, a domain and HTTPS. This guide covers the Docker and npm install, the env vars that matter, security and upkeep, backups and the encryption key - and when you should just use n8n Cloud instead.
What Is n8n? The Open-Source Workflow Automation Devs Can Actually Own
n8n is an open-source, node-based workflow automation tool you can self-host and own - or run managed on n8n Cloud. What it is, how nodes, triggers, webhooks and code nodes work, its 400+ integrations and AI features, and how it stacks up against Zapier and Make.
How to Host Your Own AI Agent (Without a DevOps Team)
Want an AI agent that's actually yours - always on, private, wired into your tools? Self-hosting OpenClaw on a VPS no longer needs DevOps skills. Self-hosted vs cloud, managed vs unmanaged, the security basics, and how to do it with Verpex.
Claude Code and the Developer's New Job: Less Writing Code, More Running the System
With agents like Claude Code, the work shifts from typing code to directing it. Boris Cherny's five archetypes as modes a developer switches between across a project.
Claude Cowork: The Complete Guide
Anthropic's Claude Cowork turns Claude into an agentic coworker that runs multi-step knowledge work on your desktop. What it does, how to use it, and its limits.
AI Agents in a Monorepo: Working With Large Legacy Codebases
Getting useful work from AI agents in big repos is a context-engineering problem, not a model-size one. A deep dive into indexing, AGENTS.md, monorepo tooling and SWE-bench.
Vibe Coding for the Backend: Auth, Databases, Cron Jobs and API Traps
Backend failures stay invisible until exploited. A technical guide to the auth, database, cron and API traps where AI-generated backend code most reliably goes wrong.
How to Review a GitHub Repo Before an AI Agent Executes It
Before you let an agent clone and run an unfamiliar repository, do a two-minute triage. This checklist covers package scripts, shell commands, network calls, recent commits, and issue history.
From Figma to React: The Best Design-to-Code Workflow in 2026
Figma-to-code finally works in 2026 — if you set it up right. Here's the real pipeline: Figma's Dev Mode MCP server, design tokens mapped to Tailwind, an agent like Cursor or Claude Code, and the 20–40% cleanup no tool removes.
The Prompt-to-PR Workflow: Briefing an AI Agent Like a Senior Developer
Turn a written brief into a reviewable pull request. This guide shows how to delegate to a coding agent the way you'd brief a senior developer, with a step-by-step workflow.
How to Vibe-Code Without Creating Technical Debt
Vibe coding is fast and quietly expensive. Here's a research-backed checklist to keep AI's speed without the technical debt, with a practice-by-practice gate table.