AI Code Generation

Problem

Developers spend hours writing repetitive boilerplate and translating specs into code. Context-switching between docs and the editor slows velocity.

Solution

Describe what you need in natural language or paste a spec. The AI agent generates functions, tests, and boilerplate in your IDE with full repo context.

Benefits

• Faster feature scaffolding
• Consistent patterns across the codebase
• Less context-switching
• More time for architecture and review

How to get started

1. 1

   Describe the feature

   Write a spec, user story, or plain-language description of what you need.

2. 2

   Generate and review

   The agent produces code in your IDE. Review, edit, and accept what works.

3. 3

   Iterate

   Refine with follow-up prompts. The agent adjusts based on your feedback and repo context.

Recommended tools

GitHub Copilot, Cursor, Cody. See the full list on the AI Coding Agent pillar page.