# genealogy Published articles for genealogy. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Build an AI Agent (From Scratch) DevFeed: [Build an AI Agent (From Scratch)]() Original publisher: [Read original article]() Author: Nicolas Fränkel Published: 2026-09-06T00:00:00Z Content type: opinion Language: en Sources: [Nicolas Fränkel]() Topics: [AI Agent](), [Large Language Model](), [Model Context Protocol (MCP)](), [Retrieval Augmented Generation (RAG)](), [Multi Agent Systems]() Tags: [ai](), [ai-agent](), [ai-agents](), [book](), [claude-code](), [coding-assistant](), [genealogy](), [llm](), [llms](), [mcp](), [multi-agent-systems](), [rag](), [review]() ### AI overview A review of Build an AI Agent (From Scratch) by Jungjun Hur and Younghee Song describes the book's coverage of LLM agents, tool use, ReAct agents, RAG, memory, planning, code execution, multi-agent systems, and agent evaluation. The reviewer considers it a fundamental introduction, while wishing the evaluation chapter were more developed. ### Source excerpt Facts 10 chapters$29.29 (at the time of this writing)315 pages Chapters Building your first LLM agentWhat is an AI agent? ## AI-assisted genealogy DevFeed: [AI-assisted genealogy]() Original publisher: [Read original article]() Author: Nicolas Fränkel Published: 2026-08-30T00:00:00Z Content type: tutorial Language: en Sources: [Nicolas Fränkel]() Topics: [Artificial Intelligence](), [data](), [GitHub](), [Software](), [Cloudflare]() Tags: [ai](), [claude-code](), [cloudflare](), [coding-assistant](), [genealogy](), [github](), [project](), [software](), [technical]() ### AI overview The article describes using AI as a tool for genealogical research. In less than a month, the author gathered more than 600 individuals and traced 12 generations in some branches, using a software-project workflow, genealogical records, GEDCOM files, GitHub or Codeberg, and Cloudflare Pages. ### Source excerpt My son recently came to me to brag about using AI to find our ancestors. While the results were correct, I didn't learn anything new, as it stopped at my grandparents. I was never very interested in my genealogy, but I decided to see if AI would be a good tool for this. TL;DR: Yes, it is, and even more than that. In a little less than one month, I managed to gather more than 600 individuals and get back 12 generations in some branches. ## Mathematical Genealogy DevFeed: [Mathematical Genealogy]() Original publisher: [Read original article]() Published: 2017-06-22T09:00:10Z Content type: opinion Language: en Sources: [Jeremy Kun]() Topics: [Graphs](), [Database](), [Algorithms](), [JavaScript](), [GitHub]() Tags: [algorithms](), [database](), [genealogy](), [github](), [graphs](), [javascript](), [scraping]() ### AI overview A side project explores the Mathematical Genealogy database as a directed graph of mathematicians and their thesis-advisor relationships. The article describes scraping a database snapshot, publishing the raw data and scripts, and building a browser-based visualizer with search and graph algorithms. ### Source excerpt As a fun side project to distract me from my abysmal progress on my book, I decided to play around with the math genealogy graph! For those who don't know, since 1996, mathematicians, starting with the labor of Harry Coonce et al, have been managing a database of all mathematicians. More specifically, they've been keeping track of who everyone's thesis advisors and subsequent students were. The result is a directed graph (with a current estimated 200k nodes) that details the scientific lineage of mathematicians.