AI Engineering · Jun 29, 2026
AI Agent Safety: The Substrate Pattern in Practice
How to implement the Substrate Pattern for AI agent safety in production. The layer below the model that decides what the agent is allowed to do.
AI Engineering
9 articles
AI Engineering · Jun 29, 2026
AI Governance for Financial Services: The Tiered Governance Model
How to implement AI governance for banks, insurers, and asset managers. The 4-tier Tiered Governance Model aligned to NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
AI Engineering · Jun 29, 2026
Federated Learning Implementation: A CTO's Guide
How to implement federated learning in production. Framework selection, data partitioning, privacy mechanisms, aggregation, and deployment. The consulting practice of the Fed-Focal Loss author.
AI Engineering · Jun 29, 2026
How to Take a Lovable Codebase to Production
A practical guide to taking an AI-generated codebase (Lovable, Bolt, v0, Cursor) to production. Code audit, Supabase RLS hardening, deployment, observability, and compliance.
AI Engineering · Jun 29, 2026
Rust for Production AI: Why and How
Why Rust is the right choice for production AI infrastructure. Performance, safety, and the ecosystem. A practical guide from the founder of Neul Labs.
AI Engineering · Jun 29, 2026
Supabase RLS Hardening: A Practical Guide
How to audit and harden Supabase Row Level Security policies. The most common security vulnerability in AI-generated apps, and the fix.
Engineering Practices · Mar 28, 2026
Forward Deployment Engineering: Building AI Systems That Survive Production
Forward deployment engineering is the discipline of building AI-assisted systems that work reliably in production — not just in demos. This article covers the patterns, guardrails, and organizational practices that separate prototype AI from production AI.
Engineering Practices · Mar 20, 2026
The Real Skills AI Can't Replace: How Software Engineering Careers Are Shifting
AI won't take your job. But it will fundamentally change what makes you valuable. This article maps the skills increasing and decreasing in value, how every level of engineer is affected, and what to invest in now.
Engineering Practices · Mar 15, 2026
Vibes Inside Guardrails: Why AI-Assisted Development Needs Mechanical Constraints
The vibes-inside-guardrails model lets AI explore freely within mechanically enforced constraints. This is the missing layer between 'vibe coding' speed and production reliability — freedom plus safety, not one or the other.