what stackpulse tracks
Prisma releases from GitHub
StackPulse watches Prisma release notes and keeps the original source link close to every summary.
Next-generation Node.js and TypeScript ORM StackPulse turns upstream changelogs into scannable summaries with risky changes, deprecations, migration notes, and source links.
what stackpulse tracks
StackPulse watches Prisma release notes and keeps the original source link close to every summary.
upgrade risk
Risky changes are separated from normal feature notes so you can scan upgrade impact before changing production dependencies.
migration notes
Migration steps and recommended actions are only shown when the upstream release notes support them.
This release candidate introduces breaking changes to aggregate result types and the SQL driver interface, while simplifying skill installation. It also fixes several query planning and emit defects.
Users relying on aggregate results (e.g., `count()`) or custom SQL driver implementations are affected.
Review breaking changes and update code accordingly, especially for aggregate operations and custom SQL drivers.
This release introduces significant changes to Prisma's package structure, error handling, and database facade dependencies. It also enhances relation-loading, SQL index naming, and migration contract storage.
This release affects all Prisma users due to significant package restructuring and error handling changes.
Follow the 0.16-to-0.17 upgrade recipe to migrate your application.
This patch release addresses a security advisory in a transitive dependency of Prisma CLI, though it does not directly impact Prisma CLI or `@prisma/dev`.
Users relying on Prisma CLI may encounter false positives in security scanners due to the transitive dependency.
Upgrade to version 7.9.1 to avoid false positives in security scanners.
This release introduces shell tab completions for the Prisma CLI across multiple shells and enhances AI agent safety by preventing destructive commands without explicit consent. It also includes several bug fixes and improvements to Prisma Client and CLI.
Developers using Prisma CLI and AI agents integrating with Prisma are affected.
Update to Prisma 7.9.0 to benefit from new features and improvements.
This release introduces fine-grained control over the query plan cache in Prisma Client and fixes several bugs related to JSON filtering, enum parameterization, and SQL Server casts. It also addresses issues in schema engine migrations and PostgreSQL introspection.
This release introduces the new `prisma bootstrap` command, which simplifies the Prisma Postgres setup process into a single interactive flow. It detects the project state and runs necessary steps like initialization, linking, dependency installation, migration, generation, and seeding.
This patch release updates the `effect` dependency to address a security vulnerability, ensuring safer usage of the Prisma library.
view source on github->This release introduces new CLI commands for PostgreSQL, enhances driver adapters with new options, and brings significant improvements to Prisma Studio, including dark mode and multi-cell editing.
This release introduces support for nested transaction rollbacks via savepoints in SQL databases, enhances Prisma Studio with multi-cell selection and full table search, and includes several bug fixes for driver adapters and Prisma Client.
This patch release focuses on bug fixes and quality improvements across Prisma Client, Driver Adapters, and Schema Engine. Key fixes include resolving case-insensitive filter regressions, query plan mutations, and MySQL join issues.
view source on github->This patch release focuses on bug fixes and quality improvements across Prisma Client, Driver Adapters, and Prisma Schema Language. Key fixes include cursor-based pagination regression, JSON value deserialization, and handling null values in type parsers.
This release introduces a new caching layer in Prisma Client to optimize query compilation and improve application throughput under high concurrency. Additionally, it adds support for partial indexes (filtered indexes) across multiple databases, enhancing query performance and reducing index size.