Start AI Coding from Zero
Understand models, providers, coding agents, tokens, Markdown, permissions, and the Git workflow before you begin.
Practical guides for understanding IDEs, tools, context, design, and a safe workflow before a coding agent starts editing.

Search any term or follow 13 free guides from foundations to launch, including an 8-module training path with 10 practical exercises.
13 guides found
Understand models, providers, coding agents, tokens, Markdown, permissions, and the Git workflow before you begin.
Install an IDE and start safely with VS Code, Antigravity, Codex, Claude Code, Gemini CLI, OpenCode, ZCode/GLM, or Kimi Code.
Choose models efficiently and understand why quotas, units, and reset windows differ by provider.
Create safe checkpoints, inspect diffs, use branches, recover mistakes, and publish a repository to GitHub.
Write executable prompts, select relevant context, and turn an idea into testable requirements.
Write clear repository instructions, understand project data files, and isolate AI coding work with branches or worktrees.
Understand frontends, backends, runtimes, frameworks, databases, hosting, and when Docker is actually needed.
Learn navbars, heroes, CTAs, sections, cards, sidebars, forms, modals, states, and responsive layouts for precise UI prompts.
Turn visual references into a DESIGN.md, an asset inventory, and one reviewable vertical slice.
Run PostgreSQL locally, protect environment variables, and understand schemas, migrations, auth, permissions, and APIs.
Move from ZIP extraction and a Git baseline to staged, verified implementation with a coding agent.
Move an application from local to preview and production, connect a domain safely, and maintain it after launch.
A free public 8-module path with 10 practical exercises, from choosing tools to testing, debugging, and deployment.

Learn how to protect secrets, create a Git baseline, read the manifest, and run each implementation stage safely.
Open the Blueprint to Code tutorial