Why Anthropic’s OpenClaw Ban Is a Warning Shot for LLM Builders
If you are building anything serious on top of Claude, you just got a quiet but important warning: the ground under your tooling can and… Continue reading on Medium »
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Eight years of wanting, three months of building with AI
Eight years of wanting, three months of building with AI Lalit Maganti provides one of my favorite pieces of long-form writing on agentic engineering I've seen in ages. They spent eight years thinking about and then three months building syntaqlite , which they describe as " high-fidelity devtools that SQLite deserves ". The goal was to provide fast, robust and comprehensive linting and verifying tools for SQLite, suitable for use in language servers and other development tools - a parser, formatter, and verifier for SQLite queries. I've found myself wanting this kind of thing in the past myself, hence my (far less production-ready) sqlite-ast project from a few months ago. Lalit had been procrastinating on this project for years, because of the inevitable tedium of needing to work through
Building a Multi-Agent OS: Key Design Decisions That Matter
Introduction Most agent systems start at the top layer: a model, a persona, a tool list, and an orchestration wrapper. That works for demos. It does not hold up in production. State ends up split across conversations, approval logic hides inside prompts, and swapping a provider or runtime means rebuilding the loop. The useful questions sit lower in the stack: Which component owns task state? Which component enforces policy? Which surface lets operators inspect work and step in? Which event wakes execution? Which protocol must an executor follow to write results back? How do you project runtime capabilities into workspaces without drift? The essential part was discovering which boundaries actually matter. Across each iteration, the same correction kept showing up: centralize the truth, form
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