Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: pub@towardsai.net
228 Park Avenue South New York, NY 10003 United States
Website: Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about
Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Founders: Roberto Iriondo, , Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X, LinkedIn, GitHub, Google Scholar, Towards AI Profile, Medium, ML@CMU, FreeCodeCamp, Crunchbase, Bloomberg, Roberto Iriondo, Generative AI Lab, Generative AI Lab VeloxTrend Ultrarix Capital Partners Denis Piffaretti, Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters, Job Title: Co-founder Works for: Towards AI, Inc. Louis-François Bouchard, Job Title: Co-founder Works for: Towards AI, Inc. Cover:
Towards AI Cover
Logo:
Towards AI Logo
Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net
5 stars – based on 497 reviews

Frequently Used, Contextual References

TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e

Resources

Free: 6-day Agentic AI Engineering Email Guide.
Learnings from Towards AI's hands-on work with real clients.
The Best Engineers Stopped Writing Prompts: The 4 Layers That Replaced Prompt Engineering
Artificial Intelligence   Latest   Machine Learning

The Best Engineers Stopped Writing Prompts: The 4 Layers That Replaced Prompt Engineering

Last Updated on June 22, 2026 by Editorial Team

Author(s): Chew Loong Nian – AI ENGINEER

Originally published on Towards AI.

The Best Engineers Stopped Writing Prompts: The 4 Layers That Replaced Prompt Engineering

Boris Cherny built Claude Code. In June 2026 he said the quiet part out loud: “I don’t prompt Claude anymore. I have loops running that prompt Claude and figuring out what to do. My job is to write loops.” In four years, the highest-value skill in applied AI has been rewritten 4 times — from prompts, to context, to the harness, to the loop. Each rewrite moved the job one layer outward, and each layer trades less manual operation for more system design.

The Best Engineers Stopped Writing Prompts: The 4 Layers That Replaced Prompt Engineering

After the opening, the article lays out a “through-line” for why the job keeps shifting: each new layer wraps the previous one. It details Layer 1 (prompt engineering), where the key object is a single input string and the challenge is phrasing and tool-use via prompt structure (few-shot, chain-of-thought, ReAct), but notes its brittleness and the assumption that the model already has everything it needs. It then covers Layer 2 (context engineering), focused on filling a limited context window with the right information using retrieval, memory, summarization, and strategies to prevent context rot—yet still observes that humans remain responsible for choosing what gets retrieved and when. Layer 3 (harness engineering) is presented as the environment around the agent—tools, permissions, sandboxing, lifecycle hooks, retries, traces, and sub-agents—moving reliability concerns into configuration rather than just model behavior. Finally, it introduces Layer 4 (loop engineering), where the system is scheduled and run repeatedly without constant manual prompting: triggers, goal/state persistence, scouting tasks, invoking harnessed agents, verifying outputs (often with a second agent), and writing memory across iterations. The piece concludes with a diagnostic to identify which layer you’re practicing, a “climb one layer” starting path, and a verdict that the next frontier after loops will likely involve fleets of coordinating loops, pushing the highest-paid skills further outward from direct prompt writing.

Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI


Towards AI Academy

We Build Enterprise-Grade AI. We'll Teach You to Master It Too.

15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.

Start free — no commitment:

6-Day Agentic AI Engineering Email Guide — one practical lesson per day

Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages

Our courses:

AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.

Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.

AI for Work — Understand, evaluate, and apply AI for complex work tasks.

Note: Article content contains the views of the contributing authors and not Towards AI.