You pay for an engineering team, but finding out if the work is actually useful often feels like a guessing game. Today we shipped three core updates to close the gap between engineering reality and leadership visibility. 🚀
Direct answers on your schedule
The AI CTO now alerts you directly when context is ready. We built a core notification engine into the platform so you never have to wait on a loading screen.
When you spot a stalled project, you can simply tag the AI and ask for a breakdown. The system takes over and runs a deep analysis in the background. It reads the commits and evaluates the ticket history to figure out what the team actually built. Once the answer is ready, the platform pings you. You get the unvarnished truth without wasting your own time. âš¡
Absolute data isolation
We hardened our database architecture with a strict fail-closed model. Leadership needs absolute confidence in data security when analyzing internal engineering traffic.
The system now enforces organization-level scoping before any transaction opens. If an action lacks a concrete organization identifier, the platform blocks it entirely. Your repository data and internal conversations stay strictly siloed. 🔒
Meeting your team where they work
We laid the technical foundation for asynchronous Slack workflows. The platform will soon engage your developers directly in chat for project context and durably wait for their replies.
We also added official branding for our MeetGeek connector. The entire AI layer drops right into the tools your team already trusts. There is no new software for your engineers to learn. They do the work, and you get a clear report on whether that work matters. 📈