Moxie Docs

Zaid Mallik and Caden Sumner watched every engineering team make the same mistake: they write docs once, push code a hundred times, and wonder why nobody reads either. So they built Moxie Docs—a living index that understands your codebase once and keeps that understanding current on every merge.

Here's the problem it's solving: your AI coding agents—Cursor, Claude Code, Codex, Copilot—they're constantly rediscovering your repo's conventions, burning tokens crawling files, then guessing wrong and shipping code that fails review anyway. Moxie indexes your GitHub repo one time and serves that understanding to both humans and agents. Engineers get a searchable workspace with docs that actually stay updated. Agents get scoped MCP context with your conventions, gaps, and source-cited docs before they touch a single line—so code lands correct the first time instead of after three revision cycles.

Every piece of documentation traces back to the source. Tests, history, source code—all indexed, all cited. When something changes, Moxie re-indexes on merge and updates everywhere. No more stale docs contradicting the actual code. No more dumping half your repo into chat just to get useful context—Moxie is read-only and token-light, scoped exactly to what the agent needs.

They're offering 50% off the first month through June 30 with code PRODUCTHUNT. Free trial runs 14 days. Read-only by default, scoped per repo—so you're not handing over the keys, just the context.

Moxie Docs is making documentation actually useful again. In a world where every team has AI writing code, someone had to make sure the AI understood what it was writing.