
What Is Context Engineering? Why It Matters More Than Prompt Engineering
Prompt engineering shapes intent; context engineering shapes what the model actually knows. For serious AI coding, context wins by a mile.
Technical writing on AI coding agents, context engineering, and developer productivity.

Prompt engineering shapes intent; context engineering shapes what the model actually knows. For serious AI coding, context wins by a mile.

A controlled benchmark on a real FastAPI app shows dependency-graph context cuts Claude Code costs by 58%, speeds tasks up 22%, and shrinks output tokens 63%.

Why current AI coding agents forget your codebase between sessions, and how vexp’s session memory, staleness tracking, and cross-agent graph fix it.

AI coding agents waste tokens by loading hundreds of irrelevant files. Dependency graphs fix this with precise, structural context selection.

Why context, not prompts, is the real bottleneck for AI coding agents—and how dependency graphs, session memory, and token budgets fix it.