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id: post/freddysblog/https-freddysblog-com-2026-08-15-the-engineering-stairway-to-heaven--b741591c0b
type: post
title: The Engineering Stairway to Heaven
summary: Engineering is evolving through a stairway of six ascending steps, from traditional code-writing to orchestrating systems of AI agents. The post describes how engineers move from doing all work themselves, to prompting, adding context, building harnesses, designing feedback loops, and finally architecting multi-agent graphs. Business Central lags behind in AI tooling and context compared to mainstream development stacks.
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  - engineering
  - agents
  - architecture
  - orchestration
  - context
  - automation
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    url: https://freddysblog.com/2026/08/15/the-engineering-stairway-to-heaven/
    title: The Engineering Stairway to Heaven
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  - kind: blog
    url: https://freddysblog.com/2026/08/15/the-engineering-stairway-to-heaven/
    title: The Engineering Stairway to Heaven
    date: "2026-08-15"
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    quote: A mediocre prompt with great context beats a great prompt with no context almost every time.
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post_id: https://freddysblog.com/2026/08/15/the-engineering-stairway-to-heaven
source_id: freddysblog
source_name: Freddys blog
url: https://freddysblog.com/2026/08/15/the-engineering-stairway-to-heaven/
published_at: "2026-08-15T06:00:00.000Z"
author: Freddy Kristiansen
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words: 2663
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  - text: A mediocre prompt with great context beats a great prompt with no context almost every time.
    why_it_matters: Emphasizes that context engineering, not clever prompting alone, delivers the real practical value in AI-assisted development.
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# The Engineering Stairway to Heaven

[Read the post](https://freddysblog.com/2026/08/15/the-engineering-stairway-to-heaven/) · Freddys blog (Freddy Kristiansen) · 2026-08-15 · 2663 words · tier community · reviewed (checked by Opus)

> Engineering is evolving through a stairway of six ascending steps, from traditional code-writing to orchestrating systems of AI agents. The post describes how engineers move from doing all work themselves, to prompting, adding context, building harnesses, designing feedback loops, and finally architecting multi-agent graphs. Business Central lags behind in AI tooling and context compared to mainstream development stacks.

## Key points

- The post describes a stairway of engineering steps: old school coding, prompt, context, harness, loop and graph engineering, with each step building on the one below.
- Context matters more than clever prompting, harnesses give the AI tools and permissions, loops add autonomy, and graphs orchestrate many specialised agents.
- Vibe coding gets no step of its own. It is fine for prototypes but risky in production without real code understanding; tools like Lovable build guardrails in.
- The author says AL and Business Central tooling, model context and agents trail mainstream stacks, and calls for partners, Microsoft and the community to work together.
- The stairway is unfinished; evaluation, memory and environment engineering are named as possible next steps.

## Quotes

- "A mediocre prompt with great context beats a great prompt with no context almost every time." (Emphasizes that context engineering, not clever prompting alone, delivers the real practical value in AI-assisted development.)

## Context

- Features: prompt engineering, context engineering, harness engineering, loop engineering, graph engineering, agent orchestration, multi-agent systems, autonomous loops

Source: Freddys blog, community blog. Summary, key points and quotes are derived (CONTENT-NOTICE.md); read the original for the full text.