Latest writing on Hyperlambda

Hyperlambda Blog - AI Security, AST Compilation, and Deterministic Execution

Technical writing on deterministic AI execution, AST compilation, runtime whitelisting, and secure agent architecture.

The Claude Code Source Leak Was Not a Hack but a Release Engineering Failure

An analysis of the Claude Code source leak as a release engineering failure, what the leaked code says about Anthropic's engineering quality, and whether AI-generated software may sit in a legal gray zone closer to public domain than proprietary copyright.

How to Create a CRUD AI Agent in Magic Cloud Step by Step

A practical step-by-step tutorial showing how to create an SQLite database, add example rows, generate a CRUD API with Hyperlambda, build a landing page, and embed a public AI agent in Magic Cloud.

Getting Started With Magic

A hands-on tutorial showing how to get started with Magic, install the Expert System, and build your first AI agent step by step.

What Is Hyperlambda and How Does It Work

A practical introduction to Hyperlambda, how its node-based execution model works, and why it matters for backend automation and AI-generated software.

How I use whitelist to execute partially untrusted Hyperlambda safely

A practical tutorial showing how I use Hyperlambda whitelist to restrict vocabulary, isolate execution scope, and safely run partially untrusted code.

Engineering a Custom LLM for Hyperlambda

A technical deep dive into fine-tuning an LLM for Hyperlambda, a deterministic executable DSL, and solving catastrophic forgetting caused by token-volume imbalance.

You Wouldn't Let Criminals Control Your Pacemaker

Why AI agent security starts with RBAC, not prompt engineering, and why authority must be explicit before an agent can touch your backend.

How the headless browser slots works in Hyperlambda

A practical tutorial showing how I use Hyperlambda headless browser slots to connect, navigate, interact with pages, extract content, take screenshots, and close sessions.

Why secure AI code execution requires runtime whitelisting, not prompt filtering

If AI-generated code is ever going to be safe, security has to be enforced by the runtime, not by the prompt.