One term for a wide range of workflows
AI coding is the general term for writing and changing software with AI help. It spans completion that finishes the line you are typing, chat where you ask questions, and coding agents that read a repository and carry work through implementation and testing.
Instead of writing every line yourself, you supply the goal, the specification, and the constraints, then review the changes the AI produces.
What you can hand over
- Prototyping and implementing a new feature
- Investigating a bug and proposing a fix
- Writing tests and documentation
- Reading and summarizing a large codebase
- Automating repetitive work and data conversion
Codex, Claude Code, Cursor, and GitHub Copilot are common tools. The trend is toward agents that go beyond producing code to editing files, running commands, testing, and reviewing.
How this relates to vibe coding
AI coding is the broad category. Vibe coding is one style within it: describing what you want in conversation without following the individual lines of code closely.
Spec-driven development, where the specification is settled first, is also AI coding. Vibe coding suits quick prototypes; spec-driven development suits systems you will maintain or features that cannot afford to fail.
Can you use it without being able to code?
Small personal tools are increasingly within reach for people with little programming experience. But AI-written code can contain bugs, security problems, and destructive operations you did not intend.
Back up before changes, limit what the code is allowed to touch, test, and have a person review the result. AI coding does not remove the need to check the work — it moves your attention toward the goal and the quality bar.