@launch_llama@Chartsy Still very much a work in progress but trying to build an "institutional knowledge" layer to support other tooling for eng teams - https://t.co/2HsxAvQKwW
@dhh People act like it means software is no longer going to be built. Quite the opposite. Demand for software is increasing and someone still has to tell the agents and models what to build. I can do my taxes but still have an accountant (until I trust the model for that ๐)
@makhmudov9807@prodigentai Itโs a very good point. One approach Iโve used in the past is to try and link knowledge to code versions (where applicable) so itโs easy to know when something changes because the underlying code or infrastructure changed. But I think it may also just require some human review.
I have slightly pivoted @prodigentai into an engineering intelligence layer for the institutional (aka tribal) knowledge trapped in your teamโs heads, docs and Slack. Now available on the web and through MCP #buildinpublic