Sitemap
Data Science Collective

Advice, insights, and ideas from the Medium data science community

Prompt Engineering Is Dead. Long Live Context Engineering.

New research reveals that the secret to superior AI isn’t better instructions — it’s better environments. Here is the 20-year-old discipline that replaces the need for “prompt hacks.”

6 min read2 days ago

--

You have a brilliant idea. A sudden spark of inspiration for a new app, a marketing campaign, or a complex technical solution. You open ChatGPT or Claude, your fingers hovering over the keys. You type out a 500-word “perfect prompt,” meticulously crafted with all the “act as a…” and “think step-by-step” tricks you learned on Twitter.

You hit enter.

The result is… okay. It’s generic. It missed the nuance. It forgot the specific coding style you prefer or the tone of voice your brand uses.

So you sigh. You type again. “No, not like that, make it more punchy.” “You forgot the TypeScript type hints.” “Don’t use the word ‘delve’.”

Twenty minutes later, you’re arguing with a supercomputer.

Why does this feel like work? We were promised a “co-pilot,” but often it feels like we’re micromanaging a talented but forgetful intern. We’ve been told that the skill of the future is Prompt Engineering — the art of talking to the machine.

But what if we’ve been lied to?

A groundbreaking new research paper, Context Engineering 2.0: The Context of

--

--

Data Science Collective

Published in Data Science Collective

Advice, insights, and ideas from the Medium data science community

Adham Khaled

Written by Adham Khaled

Software Engineer but got obsessed with AI || Connect with me: https://linktr.ee/adhamhidawy

Responses (2)