The first article on this blog explained how it was built in 30 minutes with Claude Code. Naturally, a blog needs comments. Same constraints: no database, no external dependencies, no Disqus tracking visitors. Just PHP + JSON files. Built in one session with Claude Code — the interesting part wasn't the code, it was the security audit that followed. A comment system without a database seems trivia
When building applications with large language models (LLMs), one of the most overlooked costs is how structured data is represented. Most systems use JSON. And JSON is inefficient for LLM input. KODA (Knowledge-Oriented Data Abstraction) is a schema-first data format designed to reduce token usage when sending structured data to LLMs. It works by: Defining structure once (schema-first) Encoding v
AgentFlow — The Python Framework for Production AI Agents Stop rebuilding the same agent infrastructure. AgentFlow gives you auth, streaming, persistence, and a React frontend — out of the box. AgentFlow (10xscale-agentflow on PyPI) is an open-source Python framework for building and deploying multi-agent AI systems. Write your agent graph once. Run it locally. Ship it to production without rew
Postmortem: How a LangGraph 0.1 Multi-Agent Bug Broke Our 2026 Customer Support Bot Executive Summary On October 12, 2026, our production customer support bot experienced a 4-hour partial outage caused by an unpatched edge case in LangGraph 0.1’s multi-agent orchestration layer. The bug triggered infinite agent handoff loops for 18% of inbound customer queries, leading to SLA breaches