About lakecode

What we're building

Models are rented; everyone gets the same ones. What an organization actually owns is the knowledge that decides correctness in its systems — why a constant has the value it has, which IDs are valid, what failed last quarter, how one table derives from another. Almost none of that is written anywhere a model can see.

lakecode is a coding agent built around that asset. It learns your systems once and persists what it learns as structured claims with provenance — so every later session, by anyone on the team, starts already knowing. The result is measured, not vibes: cheaper where you'd already be right, correct where you'd otherwise be confidently wrong.

How we work

• Measured claims only — Benchmarks are pre-registered before we know the result, model-pinned, dated, and shipped with caveats. When a run misses the target, we publish the measured number, not the target. We publish our cost model for the same reason.
• Glass box, not black box — Everything the agent knows is inspectable: claims carry provenance and confidence, write-back is gated, and knowledge climbs a promotion ladder with review before it becomes org truth.
• Own the loop — Capture at commit time and governed write-back can't be bolted onto someone else's agent. That's why lakecode is a full agent, not a plugin.
• Your data is yours — Ingestion does store knowledge: your code and docs become claims in your org's substrate (a dedicated database per beta org). We say that plainly because the flip side matters: the substrate is exportable at any time and deleted on exit, and those terms live in the beta agreement, not just this page.

Where we are

lakecode is in private beta with design-partner teams, onboarded personally — your repos ingested, a golden-question acceptance set written with you, and the flywheel demo run live on your own code. The Databricks edition (lakehouse grounding, Unity Catalog governance) is the enterprise wedge.

Get in touch

We'd love to hear from you — feedback, beta interest, or partnership inquiries.

• Beta access: sachin@lakecode.ai
• General inquiries: hello@lakecode.ai
• Support: support@lakecode.ai