AITOPAI热报
ProductsSelected

Databricks demos agent workflows with Lakebase Postgres branching

官方账号Databricks@databricks
Post
View the post
Why we picked it

Copy-on-write database branching per agent and per PR removes the shared-dev-database bottleneck that breaks parallel agent runs, making CI pipelines safer for schema migrations. Teams building agent-based development workflows can replicate the pattern with GitHub Actions. It echoes Neon-style branching, which Databricks acquired the technology behind, and offers an alternative to managing disposable Postgres instances manually.

Databricks demonstrated a workflow combining Git worktrees with Lakebase Postgres database branching. Each coding agent receives its own isolated copy-on-write database branch to run migrations, test changes and experiment without affecting other environments. GitHub Actions creates a fresh database branch per pull request to validate migrations and preview the app before production.

Original · Databricks

[DEMO] With Git worktrees and Lakebase Postgres database branching, each coding agent gets its own isolated, copy-on-write branch to run migrations, test changes, and experiment without affecting other environments.

GitHub Actions then creates a fresh database branch per PR to validate migrations and preview the app before anything reaches production.

Watch the full workflow: https://t.co/pGuwbfsqDG

#Databricks#Lakebase Postgres#coding agents#GitHub Actions#builders

Keep reading

Recent stories with the same tag or section
ProductsBuildersMulti-sourceSelected00:05
Databricks expands NVIDIA collaboration for open model fine-tuning

The integration compresses the path from raw enterprise data to a served, fine-tuned open model into a single governed platform, cutting out the usual glue work between training stacks and production inference. Teams building domain-specific models on open weights can prototype on serverless NVIDIA GPUs without managing infrastructure. Compared with stitching together separate tooling, the Nemotron cookbooks plus NeMo on Databricks offer a ready-made pipeline to production.

#Databricks#NVIDIA#Nemotron#fine-tuning
Event
官方账号Databricks@databricks11 sourcesSource
ProductsBuildersSelected01:41
Databricks launches MemCurrent persistent memory for production agents

Persistent memory is becoming the differentiator between demo agents and ones that survive enterprise use, and the claimed 31% token reduction shows memory can cut costs at the same time as lifting accuracy. Teams building multi-session agents on Databricks can adopt it directly via Agent Bricks Memory, while everyone else gets a design blueprint for the plugins-plus-offline-consolidation pattern. The closest comparison is homegrown vector-store memory stacks, which typically lack the background consolidation step.

#Databricks#Agent Bricks#Genie#agents
官方账号Databricks@databricksSource