Norrin attended Databricks AI Days in Helsinki, where we got a front-row look at the latest innovations from Databricks as they continue to push the boundaries of what's possible in enterprise data platforms. We were particularly excited to see Genie Code, Lakebase, Agent Bricks, and more in action.
Genie Code: vibe coding meets enterprise governance
The Genie Code presentation was a standout. Databricks has brought vibe coding into the enterprise, with the governance controls that real organizations need. The Genie Code Agent delivers a full modern development experience, deeply integrated with Unity Catalog, so teams can move fast without sacrificing oversight. The potential to accelerate development lifecycles and deliver reliable outcomes is significant.
This mirrors what leading enterprises are already experiencing. Goldman Sachs CIO Marco Argenti recently noted on Bloomberg's Odd Lots podcast that AI coding agents have given his organization 130% of its development capacity. When an organization of that scale is unlocking that kind of leverage, it raises a compelling question: what higher-value work could your developers focus on with that kind of headroom?
Lakebase: the git-committed database
Lakebase impressed with its low-latency data availability. The feature that really caught attendee's attention was data branching. Developers can create zero-copy branches from production data, develop against them, and merge changes back, following a git-style workflow for databases. Rollbacks and restores become nearly instantaneous.
Lakebase also truly scales to zero, meaning you only pay for what you use, and it starts up in seconds. For organizations looking to reduce operational overhead while maintaining developer agility, this is a game changer.
Agent Bricks: automating business processes with AI
Databricks expanded the regional availability of Agent Bricks earlier this year, and at AI Days they demonstrated how organizations can use Agent Bricks to automate end-to-end business processes. The demo walked through how the Knowledge Assistant, Genie Spaces, and the platform's agent and extraction tools work in concert within the governed Databricks environment.
Looking ahead
Across these presentations, Databricks reinforced their position at the forefront of application development, data availability, and process automation, all delivered within the cohesive Databricks experience. Each release makes the platform more capable, better governed, and increasingly autonomous.
If you'd like to discuss how any of these capabilities could benefit your data platform, contact us through the website or send us a message. We'd love to help you explore what's possible.
