High-security AI engineering starts with a data boundary
How Mirogate separates frontier AI coding from local-only production, government, and user data workflows.
Mirogate Insights
These articles explain the operational choices behind each project. The owned-domain version should be published first, then Medium and LinkedIn can point back to the canonical Mirogate page.
How Mirogate separates frontier AI coding from local-only production, government, and user data workflows.
Why Mirogate built a modular performance skill system for AI agents instead of one oversized prompt for every Lighthouse issue.
Why Mirogate built a modular secure-coding skill system for AI agents instead of one oversized prompt.
How crawlability, responsible disclosure, metadata, and security headers make a public company site easier to verify.
Rate limits, Turnstile, honeypots, timestamp freshness, and safe errors for Worker-backed contact workflows.
A defensive pattern for normalizing visitor signals without turning one provider response into a black-box block.
Why server hardening starts with recovery paths, dry runs, and clear checks before changing SSH or firewall rules.
A practical readiness shape for teams that depend on visitor identifiers and need continuity during major-version changes.
Direction, validation tone, accessibility, and backend handling matter as much as translated labels.