AI workflows for software engineers. Code generation, debugging, documentation, and development automation.
Create an automated system that uses an AI agent to convert Figma designs into Next.js code. The agent then verifies its output against the original design and iteratively corrects its own mistakes.
Supercharge your engineering velocity by using Claude Opus 4.6 to rapidly build features and then leveraging GPT-5.3 Codex to perform a rigorous, principal-level code review for production hardening.
Follow a step-by-step process to build a custom Chrome extension that summarizes links in Slack using Claude Code, from voice-dictated PRD to a fully debugged, accessible tool.
Use a second, more rigorous AI model like GPT-5.2 Codex to act as a critical 'staff engineer' that reviews code written by your primary, more creative AI like Claude. This multi-model approach ensures high velocity without sacrificing code quality or accumulating technical debt.
Build a custom visual dev tool to create interactive UI mockups and flowcharts. Use these visual artifacts to guide an AI model like Claude Code to build software features with greater accuracy and less ambiguity, bridging the gap between human intuition and AI understanding.
Go from an empty folder to a playable 3D multiplayer prototype in about 15 minutes. This advanced workflow leverages the Claude command-line interface and parallel development to rapidly build and debug both the frontend and backend of a flight simulator game.
Learn to build a complex 3D multiplayer game, even with no prior game development experience. This workflow guides you through an iterative process of using an AI assistant like Cursor and Claude as a junior developer to go from a simple concept to a functional prototype.
Use Repo Prompt to gain surgical control over your AI's context. This workflow shows you how to manually select specific code files, combine them with a detailed prompt and a persona, and generate a highly-contextualized input for an LLM like Claude or Gemini.
Take a detailed product blueprint and use the Replit AI agent to build, iterate, and deploy a complex, database-driven web application. This workflow demonstrates how to guide the AI through conversational prompts to create a functional app without deep coding knowledge.
Use AI to analyze test logs, identify and prioritize technical debt, and generate a task list for AI agents like Cursor or Devin to systematically fix issues. This creates a repeatable process for improving codebase health.
Move your custom Claude Skills from your local development environment to the user-friendly Claude.ai web interface. This guide shows you how to package your skill folder, upload it, and begin using it for daily tasks directly in your browser.
This workflow demonstrates how to use a previously created 'meta-skill' within the Claude Code command-line interface to generate a new, specific skill. You'll learn how to prompt Claude Code to build a skill and then immediately test it.
Learn the author's preferred method for building a powerful 'meta-skill' inside the Cursor editor. This workflow uses Anthropic's official documentation to create a reusable agent that can quickly generate new, well-structured Claude Skills on demand.
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