Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
Postgres has its own primitives for things that forges currently build custom infrastructure around. A trigger on the refs table firing NOTIFY means any connected client learns about a push the moment it happens, which is how forges normally end up building a custom webhook polling layer. Multi-tenant repo isolation becomes a database concern through row-level security on the objects and refs tables, and logical replication lets you selectively stream repositories across Postgres instances, a kind of partial mirroring that filesystem-based git can’t do. Commit graph traversal for ancestry queries and merge-base computation falls to recursive CTEs, and pg_trgm indexes on blob content give you substring search across all repositories without standing up a separate search index.
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According to the firm, the ad in question did not sexualise the act of performing searches - and that the humour referred to discomfort rather than sex.，推荐阅读safew官方版本下载获取更多信息
- Incude `channel_id` and `retrieved_at` in the database schema.