Brief

Saul Fleischman, Zolani Matebese, Ansari Adin, Aiswarya Subramanian, Ada Johnsen, Kasyap Varanasi, Ryan Mindigo, and Drew Dillon looked at how AI agents ship code—all the hype around autonomous engineering—and asked the obvious question: how do they know WHAT to build? Every team has decisions scattered across Slack, Linear, Jira, Notion, and random Google Docs. Your codebase tells you what the code does. It never tells you WHY. So AI agents build the wrong thing, waste tokens, and shipping takes longer because someone has to play telephone between product and engineering.

Enter Brief. It captures decisions as they happen and builds what they call a Product Graph—a searchable, connected map of every strategic choice, trade-off, and customer insight. Then it navigates your engineers and AI agents straight to the context that matters. Cursor, Claude Code, Windsurf—they all get the full picture, not just the code. Here's the kicker: 95% decision compliance when agents access Brief. Before Brief? 46%. That's more than double. Eight out of eight merge-ready tasks with Brief versus just two out of eight without it. Sixty-eight percent less cost per merge-ready task. This isn't another coding tool. This is the context layer the whole AI engineering movement was missing.

The team pulled from eight people, which is unusual but they're solving an actual problem that's getting worse as more teams bet on AI-first development. Every month, more agents mean more stuff gets built that doesn't match what product actually wanted. Brief says they'll sort that out. We'll see.