---
title: "What is still hard to become good at as AI makes coding easier?"
slug: "wenn-ai-das-coden-uebernimmt-wird-kontext-zur-eigentlichen-kernkompetenz"
date: 2026-10-19
category: community
tags: []
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/wenn-ai-das-coden-uebernimmt-wird-kontext-zur-eigentlichen-kernkompetenz
---

# What is still hard to become good at as AI makes coding easier?

**Published**: 2026-10-19 | **Category**: community | **Sources**: 1

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## TL;DR

A developer describes in a blog post how large language models have changed the way they build software.

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## Summary

A developer describes in a blog post how large language models have changed the way they build software. Most of their time now goes into deciding what to build and how, supplying the right context, checking results and paving the way for the model, while the hard part of writing correct code is handled surprisingly well by the LLM. Their former edge came from understanding how computers work, from networking and the command line to kernels and reading errors. That edge is fading quickly, they argue, and will disappear once models get better at switching into specific contexts.

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## Why it matters

A developer describes in a blog post how large language models have changed the way they build software.

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## Key Points

- A developer describes in a blog post how large language models have changed the way they build software.
- Their former edge came from understanding how computers work, from networking and the command line to kernels and reading errors.
- That edge is fading quickly, they argue, and will disappear once models get better at switching into specific contexts.

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## Nauti's Take

The opportunity lies in the shift of work: anyone who prepares context well, checks results and sets boundaries can build faster with LLMs than ever before. The risk: deep systems knowledge loses value, and teams without tests and reviews lose control over generated code. Small teams should first check whether their model reliably combines architecture, conventions and product goals.

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## FAQ

**Q:** What is What is still hard to become good at as AI makes coding easier? about?

**A:** A developer describes in a blog post how large language models have changed the way they build software.

**Q:** Why does it matter?

**A:** A developer describes in a blog post how large language models have changed the way they build software.

**Q:** What are the key takeaways?

**A:** A developer describes in a blog post how large language models have changed the way they build software.. Their former edge came from understanding how computers work, from networking and the command line to kernels and reading errors.. That edge is fading quickly, they argue, and will disappear once models get better at switching into specific contexts.

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## Related Topics

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## Sources

- [What is still hard to become good at as AI makes coding easier?](https://news.ycombinator.com/item?id=50157098) - Hacker News AI

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-10-20*