Thoughts, announcements, and deep dives into AI-native programming.
A major milestone bringing 10–50x execution speedups via the 63-opcode InthonVM, multi-agent cooperative scheduling, binary .itc containers, and visual HTML trace visualizers.
Discover how INTHON natively handles agent state persistence, session checkpointing, SQLite memory backends, and semantic vector embeddings across session restarts.
Building user interfaces for AI agents is traditionally complex and disconnected. We introduce the new inthon.ui module to natively couple layouts and human-in-the-loop approvals.
Unstructured prompt skills are common in AI engineering. We introduce a compiler tool in INTHON to automatically convert skills into first-class workflow functions.
Standard coding languages were designed for humans and bare machines. It's time to build a sandboxed, token-efficient grammar designed explicitly for AI execution.