The AI CTO Now Asks Your Team Why Work Stalled

Moving Past Metrics\n\nCounting commits tells you nothing about why a project stalled. AI tools write thousands of lines of code a day. Counting that volume measures noise, not progress. You need actual context from the team to know if the work matters.\n\nWe changed how Solidmatics gathers ground truth. The AI layer now messages engineers directly on Slack when a task slows down. It asks what happened, waits for the response, and puts that context straight into your morning report. You get the full story without micromanaging the process. The system remembers the answers and stops asking about things it already knows. 🕵️‍♂️\n\n## Direct Answers\n\nWe shipped in-app notifications so you never lose track of a thread. You can tag the AI CTO in a feed comment when you need more detail on a specific project. The agent investigates and alerts you the second it finishes the review.\n\nA topbar bell collects your unread mentions and AI replies. You ask the question and get notified when the answer is ready. 🔔\n\n## Full Historical Context\n\nYour team makes decisions on calls, and those choices rarely make it to Jira. We expanded our MeetGeek integration to close that gap. You can now trigger a full backfill to pull in every past transcript.\n\nThe AI reads the history and understands the context behind earlier technical choices. We also updated the visual assets for the integration. 🎙️\n\n## Hardened Infrastructure\n\nWe tightened our database tenant isolation under the hood. Solidmatics processes private engineering data.\n\nWe built strict separation into the data tier. Your team information stays completely isolated. We enforce strict row-level security so no records cross boundaries. 🔒