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Michael Lynch

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  1. 1
    Developer asks why AI coding agents are so dumb●Why Are Coding Agents So Dumb? Article URL: https:// mtlynch.io/why-are-coding-agen ts-so-dumb/ Comments URL: https:// nMmastodonBusinessStartups322 h ago

    Software developer Michael Lynch has published an essay arguing that AI coding agents still fall short of expectations, examining why tools touted as transformative often produce disappointing results in real programming work. The piece has drawn modest discussion among developers, with readers debating whether the limitations lie in the underlying models, the tooling around them, or inflated expectations about what AI can currently do.

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    Essay argues empathy is key to software blogging●# Empathy is key to good # writing in general, not just blog-posts on software: “Anti-Patterns In Software Blogging”, MiMmastodonLifeFashion33 h ago

    A new essay by Michael Lynch, "Anti-Patterns In Software Blogging", argues that empathy toward readers is essential to good writing, not only in technical blog posts but in writing generally. The piece is being shared and discussed across developer communities, including Hacker News and Lobsters, with readers weighing in on common mistakes in software writing.

  3. 3

    Developer Michael Lynch publishes an essay asking why AI coding agents keep making simple mistakes despite their hype. The piece examines the gap between expectations and real-world performance of tools that write code autonomously, drawing discussion among developers weighing in on whether current agents are overpromised.

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    New essay asks why coding agents are so dumb●Why Are Coding Agents So Dumb? https://mtlynch.io/why-are-coding-agents-so-dumb/ # HackerNews # Tech # AICodingMmastodonTechnology31 d ago

    Developer Michael Lynch has published an essay titled 'Why Are Coding Agents So Dumb?' examining the shortcomings of AI coding assistants. The piece is circulating among programmers on Hacker News, where readers are debating its arguments about why these tools frequently fail at real-world programming tasks despite rapid advances in AI models.