Cookbook

How Neexo developers can reduce AI Credit usage through model selection, scoped prompts, small contexts, and monthly usage review.

Step-by-step guide for setting up a new Neexo project with the recommended .github structure, plugin installation, and project-specific copilot-instructions.

How to write your own Copilot agent with a .agent.md file and optional MCP server connections.

A practical onboarding path for new Neexo employees using GitHub Copilot, Neexo plugins, model selection, and cost-aware prompting.

Step-by-step guide to configuring an MCP server in VS Code for use with Copilot agents.

A Windows setup recipe for installing compact CLI tools that help agents search, inspect, diff, and validate code with less context.

A short project-context template that helps agents understand purpose, stack, high-risk areas, validation commands, and files to avoid.

A lightweight workflow pattern for checking Neexo Copilot plugin versions because Copilot plugins do not update automatically in consumer repositories.

A practical guide for choosing local CLIs before MCP servers when they reduce context, cost, and setup overhead.

A practical guide to keeping generated output, secrets, dependencies, large media, and 3D assets out of AI context by default.

Step-by-step recipe for turning Figma designs into production code using the official Figma MCP server, Code Connect, and AI agent rules.

A checklist for configuring GitHub Copilot organization settings, content exclusions, model access, budgets, and review cadence for Neexo.

How to configure encrypted secrets for Neexo projects using dotenvx or Infisical, replacing manual .env file sharing.

A migration checklist for moving Neexo Next.js apps to Next.js 16, React 19, async route params, and updated caching.

Tips and patterns for writing .instructions.md files that consistently produce high-quality Copilot output.