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ExternalFrontend Development
Vercel Blog

Is Agentic now tailors its audit by site type

reports now let you view your checks through one of four site types: Docs & content, Business, App, or Commerce.Is Agentic For example, the Commerce view highlights payment and checkout standards like x402, UCP, and ACP, while the App view highlights API discovery, authentication, error handling, and SDK support. Your score stays the same in every view, and you can change views on an existing report without rescanning. Only the highlighted checks change, so you can focus on what matters for your

Vercel BlogRead original
ExternalDatabase
PlanetScale Blog

Introducing TIN: full-text search for Postgres

One of the Postgres features our customers ask us for the most is full-text search. Today, we are excited to announce TIN: a fast, full-featured, reliable full-text search extension for Postgres. TIN stands for "Text INdex," and that is what it does. TIN is available immediately as a GA release for all Postgres and Neki databases. Check it out: CREATE INDEX an_index_name ON table_name USING tin(text_column_name); SELECT * FROM table_name WHERE text_column_name ==> 'some words'; We built TIN

PlanetScale BlogRead original
ExternalCloud
Cloudflare Changelog

R2, R2 Data Catalog - R2 Data Catalog adds table maintenance visibility and manual queueing

R2 Data Catalog now provides table-level maintenance visibility and manual compaction queueing in the Cloudflare dashboard. These updates make it easier to understand when maintenance is eligible to run, inspect completed operations, and request maintenance without leaving the table view. To view table maintenance details: In the Cloudflare dashboard, go to R2 Data Catalog. Select a catalog, then select the Explorer tab. The Explorer tab opens by default. Select a table. Select the Maintenance

R2R2 Data Catalog
Cloudflare ChangelogRead original
ExternalFrontend Development
Vercel Blog

TypeSafe AI's Jev now available on AI Gateway

is now available on .Jev from TypeSafe AIAI Gateway Jev is a probabilistic decision model for software: state goes in, typed Choice, Score, and Boolean answers come out. Regular language models generate text one token at a time, which the application then parses and validates. Jev evaluates all declared questions in parallel and returns typed answers plus probabilities directly. That removes unnecessary text generation and makes it straightforward to automate clear cases while routing uncertain

Vercel BlogRead original
ExternalSoftware Engineering
DEV Community

Building Answer Lineage for Enterprise Data Agents

If a data agent returns €18.6M, production observability should tell you exactly how that answer was constructed. Most Text-to-SQL pipelines log prompts, generated SQL, latency, tokens, and execution status. Those signals matter, but when a business user says, “This number is wrong,” they are not enough. The failure may have happened before SQL generation: "Revenue" → wrong metric "Germany" → wrong dimension Customer data → wrong relationship path "Last quarter" → wrong time interpret

aillmsql
DEV CommunityRead original

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