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craneca0

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投稿

SQL's TypeScript moment will help agents just as much as it'll help humans

roundup.getdbt.com
2 ポイント·投稿者 craneca0·4 か月前·0 コメント

AI powered migration from Postgres to ClickHouse

clickhouse.com
1 ポイント·投稿者 craneca0·5 か月前·0 コメント

Agent Harness for Coding with ClickHouse

clickhouse.com
1 ポイント·投稿者 craneca0·5 か月前·0 コメント

Agent harness for Postgres to ClickHouse migration

clickhouse.com
1 ポイント·投稿者 craneca0·5 か月前·0 コメント

React APIs on ClickHouse

clickhouse.com
2 ポイント·投稿者 craneca0·10 か月前·0 コメント

Integrating ClickHouse into your React app

clickhouse.com
2 ポイント·投稿者 craneca0·10 か月前·0 コメント

Data engineering and software engineering are converging

clickhouse.com
108 ポイント·投稿者 craneca0·11 か月前·66 コメント

ClickHouse and MooseStack: DX for data infrastructure

clickhouse.com
4 ポイント·投稿者 craneca0·11 か月前·0 コメント

Principles of great DX for data infrastructure

clickhouse.com
2 ポイント·投稿者 craneca0·11 か月前·0 コメント

Does OLAP Need an ORM

clickhouse.com
75 ポイント·投稿者 craneca0·11 か月前·51 コメント

ClickHouse+MooseStack – Does OLAP Need an ORM?

clickhouse.com
3 ポイント·投稿者 craneca0·11 か月前·0 コメント

AI's Existential Crisis: An Unexpected Journey with Cursor and Gemini 2.5 Pro

medium.com
3 ポイント·投稿者 craneca0·昨年·0 コメント

OpenAI in talks to acquire Windsurf for ~$3B

cnbc.com
8 ポイント·投稿者 craneca0·昨年·5 コメント

OpenAI as we knew it is dead

vox.com
85 ポイント·投稿者 craneca0·2 年前·60 コメント

コメント

craneca0
·10 か月前·議論
co-pilots tend to be really effective at this kind of migration work. especially once you've got the before and after schemas as types in your code.
craneca0
·11 か月前·議論
That's interesting with the Zillow anecdote. I wonder if the nuance in the title is actually correlated with a difference in behavior/culture/best practices/approach?
craneca0
·11 か月前·議論
agreed on the presence and stickiness of no-code tooling. but in a future where we want to enable LLMs and agents to do as much of that work as possible, a code-first approach seems far more likely to make that effective. not just because agents are better are writing code than clicking through interfaces (maybe that will change as agents evolve?), but because the SDLC is valuable for agents for the same reasons it's valuable for human developers - collaboration, testing, auditing, versioning, etc.
craneca0
·11 か月前·議論
yeah, i've seen large fortune 100 data and analytics orgs where the majority of folks with data engineering titles are uncomfortable with even the basics of git.