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My CTO ships 60+ PRs a day on a Claude Code bill under $200/month. The trick isn't a bigger context window or a better prompt library. It's that his code is right the first time — so the AI isn't burning tokens patching its own mess. That's what Mault does. We catch architectural drift, misplaced files, deprecated patterns, and naming chaos before they hit your AI assistant's context. Your favorite coding tool (Claude, Cursor, Copilot, ChatGPT) stays fast. Your team stops paying the rework tax. Near-zero rework. Predictable spend. Cleaner repos. → See how it works!

My CTO ships 60+ PRs a day on a Claude Code bill under $200/month. The trick isn't a bigger context window or a better prompt library. It's that his code is right the first time, so the AI isn't burning tokens patching its own mess. That's what Mault does. We catch architectural drift, misplaced files, deprecated patterns, and naming chaos before they hit your AI assistant's context. Your favorite coding tool (Claude, Cursor, Copilot, ChatGPT) stays fast. Your team stops paying the rework tax. Near-zero rework. Predictable spend. Cleaner repos. → See how it works - click the button

Every enterprise right now is celebrating how fast their developers ship with Claude, Cursor, and Codex. Nobody's asking the harder question: who's governing the code these agents produce? Not checklists, prompts, or specs. Actual deterministic enforcement of your architecture, standards, and compliance, at the point of generation. That's what Mault does. We sit between your AI coding tools and your codebase and make sure what ships is production-grade from day one. On our own codebase: 90%+ AI-generated. 0.18% revert rate. Rework near zero. The harness everyone's been talking about. Built.

Most tech leaders are sitting on one of two problems right now. Either you're holding back on deploying AI coding tools org-wide because the risk feels unmanageable. Or you already rolled them out, and the productivity gains never showed up. Both problems come from the same place. No governance. Mault enforces your standards before code is generated. Every AI agent follows your rules, every time. No surprises. No ungoverned code landing in production. The result: your team ships productions ready code from day one, 10x faster, with near zero rework. Finally get the ROI AI was supposed to deliver. Schedule a 20-minute call. We'll show you exactly what that looks like for your team.

Most tech leaders are sitting on one of two problems right now. Either you're holding back on deploying AI coding tools org-wide because the risk feels unmanageable. Or you already rolled them out, and the productivity gains never showed up. Both problems come from the same place. No governance. Mault enforces your standards before code is generated. Every AI agent follows your rules, every time. No surprises. No ungoverned code landing in production. The result: your team ships productions ready code from day one, 10x faster, with near zero rework. Finally get the ROI AI was supposed to deliver. Schedule a 20-minute call. We'll show you exactly what that looks like for your team.

93% of AI-generated code ships with defects. So when your team burns more tokens every month, ask yourself what you're actually paying for. Shipped code? Or a more expensive way to produce rework? Mault governs AI-generated code at the point of generation. Deterministic enforcement. Infrastructure level. Physics, not policy. Mault averages a 0.18% revert rate on AI-generated code. Get it right the first time.