LLM workflows

Personal site for an engineer writing about AI and dev tooling, with visible open-source projects for agent orchestration and data pipelines. The page highlights LLAssembly, described as code-driven orchestration for sub-agents and tool-call workflows, plus other related projects and writing.

An open-source protocol ecosystem for controlling LLM behavior during software development, with a focus on preventing context drift and code regressions through minimal diffs, inspection-first workflows, and snapshot-based session handoff.

GitHub Blog article on reducing token usage and API cost in agentic coding workflows, including logging token usage, removing unused MCP tools, replacing GitHub MCP with GitHub CLI, and measuring efficiency gains.

A focused article-style site arguing for domain-specific languages in LLM workflows, with concrete examples around structured extraction, validation, and pricing rules.