A practical guide to building an LLM wiki, a Markdown-based memory layer for agents, in three phases from ingesting local files to continual learning. Also covers engineering topics such as context quality checks before LLM calls and multi-agent coding workflows.
Website: https://www.decodingai.com
A day-by-day hands-on course on building an AI evaluation harness from scratch, with lessons on golden datasets, regression tracking, policy verdicts and CI gating. Each lesson explains the design decision, shows verified results from test runs, and builds on earlier days.
Long-form articles on AI engineering, covering topics such as monitoring LLM systems, evaluating agentic systems and context engineering. Posts explain concepts mechanically, include diagrams, and are occasionally paired with workshops run by the author.
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