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AI, Make the Website Good

AI, Make the Website Good

Zach Leatherman· ·2 min read · 0 reactions · 0 comments · 6 views
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TL;DR · WeSearch summary

The article argues that the proliferation of AI coding agents is not necessarily leading to higher quality software, despite increased production volume. It suggests that while developer tools have improved, the end-user experience often suffers from reliability issues and poor performance. The author emphasizes that human craftsmanship and a focus on output quality remain more critical than the tools used to generate code.

Key facts
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 6,285 of its stories.

Original article
Zach Leatherman · Zach Leatherman
Read full at Zach Leatherman →

Story provenance

Source · retrieval · rights · ranking — open for full record
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherZach Leatherman
Canonical URLhttps://www.zachleat.com/web/ai-websites/
Publication timeThu, 24 Sep 2026 13:08:50 +0000
Retrieval time2026-09-24T13:20:29.813Z
Last seen2026-09-24T13:20:29.813Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterNone
Cluster logicNot yet clustered, or no peer story found in the clustering window.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

“AI, make the website good” #11k 388542 September 21, 2026 .iframe--card { margin-block: 15vh; } Millions of Large-Language-Model-generated words have been spilled on craftsmanship in this gilded-age of software development. We now have agents to plan how code will be written, agents to write code, agents to review code, agents to orchestrate and dispatch tasks to other more (or less) capable subagents (these heavily subsidized tokens aren’t going to pay for themselves). I’ve been in this game long enough to recognize tooling improvements from software companies at the bleeding edge of technique and application and it usually goes something like this: “If we make it easier for developers to create software, they will have more bandwidth to produce higher quality software!” I’m always left…

Excerpt limited to ~120 words for fair-use compliance. The full article is at Zach Leatherman.

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