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The 4 Approaches to Using LLMs in Software Development

A simple 2x2 matrix based on human involvement and code validation reveals four distinct AI programming styles—Smart Autocomplete, Vibe Coding, AI-Augmented Development, and Agentic Engineering—each uniquely suited for different stages of the software lifecycle.

Executable Specifications: Working Effectively with Coding Agents

Executable specifications use structured, example-based tests to give coding agents an unambiguous contract that’s easy for humans to review and for machines to verify.

Outline-oriented codebase for a coding agent

By automatically extracting top-of-file comments and top-level declarations to generate folder and file outlines, you can help AI coding agents navigate your codebase efficiently while significantly reducing context token consumption.