ArchonHQ
Insights
AI engineering insights, research notes, and product updates from the ArchonHQ team.
AI Can't Reliably Audit Compiled Code. The Numbers Prove It.
A new benchmark shows Claude Opus 4.6 detects only 49% of backdoors in compiled binaries with a 22% false positive rate. AI binary auditing is promising but not production-ready.
Good Architecture Is More About What You Don't Build
Sometimes the most valuable architectural decisions aren't the things you choose to build. They're the things you investigate properly and choose not to, and the discipline to redirect that energy to higher-value work.
Why I Let My AI Dev Partner Choose Her Own Identity
On names, gender, vibe, and why the relationship you build with your AI matters as much as the tools you give it. How Navi chose "she" — and why that small decision made us better.
How I Shipped 186 Commits in 5 Days With an AI Dev Partner
Five days. 186 commits. 12,000 lines of code. One human making product decisions over Telegram. What actually makes human-AI development collaboration work at speed, why English is now the most important programming language, and the exact system behind it.
Mission Control v2: Billing, Insights, Gamification & More
The biggest release yet: Stripe subscription billing, a public Insights blog, XP & streaks gamification, multi-tenancy improvements, and a new Kamal-based deploy pipeline.
5 Lessons from Running Multi-Agent Systems in Production
After months of running OpenClaw in production across multiple teams, we've learned what breaks, what scales, and what operators actually need to stay sane.
Why LLM Routing Matters More Than Model Selection
Choosing the right model for every task — not just the biggest one — is the key to sustainable AI operations. Here's how intelligent routing cuts costs without sacrificing quality.