Camden Joseph

On a Tuesday, the first enterprise question is usually not can you capture AI code? It s who can see the records, how long do they live, and what happens when a policy blocks a change?

That s the part LineageLens is built for. Base gives you local capture. Lite gives a shared team record. Plus and Max move the data into a backend where auth, permissions, retention, and policy live next to the provenance records instead of around them.

The useful thing here is not another dashboard. It s a self-hosted record of prompt, model, tool, file, and outcome that engineering, security, and platform teams can actually govern on their own infrastructure.

I keep seeing AI governance tools start with visibility, then discover that the real enterprise questions are identity, retention, and review. If the record cannot be scoped, retained, and exported on your side, it is not really governable.

One thing that quietly hurts trust in developer tools:

stale signals.

Hello makers, I m Niloy, Product Lead & Researcher at BurnLink. It s been amazing seeing the support and response from the community so far. Today, I wanted to share something interesting about the thinking behind our product what led us to build it in the first place from a psychological perspective and what's the future of BurnLink.