Session
LakeFoundry: The Databricks-Native Delivery Platform for Spec-Driven Autonomous Software Building
Overview
| Experience | In Person |
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Most enterprises don't struggle to write code — they struggle to consistently deliver production-grade Databricks solutions that are clearly scoped, governed, and built to last. LakeFoundry is Slalom's autonomous, agent-driven delivery platform that transforms ideas, tickets, chats, and draft requirements into a repeatable, auditable path from concept to production — entirely within Databricks.At its core, LakeFoundry operates across three planes: a Control Plane that enforces structured specification and stakeholder alignment before a single line of code is written; an Execution Plane where autonomous subagents generate, verify, and deploy production-grade code with Unity Catalog governance, policy-as-code guardrails, and replayable LLM audit trails; and a Continuous Improvement Plane where an embedded Improvement Agent analyzes MLflow traces, detects performance drift, and proposes human-reviewed PRs — keeping systems from decaying post-launch.LakeFoundry integrates natively with Slack, Jira, Teams, GitHub, and CLI — meeting teams where work already happens — while eliminating the ambiguity, context rot, and governance gaps that cause autonomous development to fail at enterprise scale.The result: spec clarity before execution, test-driven autonomous generation, and governance embedded by design — not bolted on after. For Databricks customers, LakeFoundry provides a native path to operationalize agentic software delivery on the same trusted platform that already governs their data, workloads, and environments.