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What ClickHouse learned from a year of coding with AI agents

Alexey Milovidov· ·9 min read · 0 reactions · 0 comments · 43 views
What ClickHouse learned from a year of coding with AI agents
TL;DR · WeSearch summary

ClickHouse has been utilizing AI coding agents for a year, leading to significant insights about their effectiveness. Initially met with skepticism, the agents have proven useful for various coding tasks, especially after the release of Claude Opus 4.5. The company anticipates that 2026 will bring further productivity gains as the tools continue to mature.

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How this story was covered

2 outlets in our directory ran this story, first to last over 10 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1
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Hacker News (AI / LLM) files mainly under ai. We currently carry 3,270 of its stories.

Original article
The New Stack · Alexey Milovidov
Read full at The New Stack →

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 publisherThe New Stack
Canonical URLhttps://thenewstack.io/clickhouse-ai-coding-agents/
Publication timeMon, 25 May 2026 17:36:45 +0000
Retrieval time2026-05-25T17:47:39.245Z
Last seen2026-05-25T17:47:39.245Z
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.
ClusternixE-RQuS2XR · 2 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
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

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

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