What ClickHouse learned from a year of coding with AI agents
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.
- ▪ClickHouse has implemented AI coding agents to assist with software development tasks.
- ▪The effectiveness of these agents has improved significantly since the introduction of Claude Opus 4.5.
- ▪Agents have shown particular strength in handling repetitive tasks, resolving merge conflicts, and conducting code reviews.
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.
- ▪ CODESKILL: Learning Self-Evolving Skills for Coding Agents — arXiv cs.AI
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,270 of its stories.
Story provenance
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Story provenance
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 publisher | The New Stack |
| Canonical URL | https://thenewstack.io/clickhouse-ai-coding-agents/ |
| Publication time | Mon, 25 May 2026 17:36:45 +0000 |
| Retrieval time | 2026-05-25T17:47:39.245Z |
| Last seen | 2026-05-25T17:47:39.245Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | nixE-RQuS2XR · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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.