About
AIgentic publishes daily, data-driven coverage of agentic systems, LLM tooling, and AI infrastructure. Each post is built from a fresh fetch of primary sources (open-source repository activity, model release notes, academic preprints, and standardized benchmark runs) and written to be easy to read for humans and easy to retrieve for machines.
What you'll find here
- Repo pulse (Mon through Thu): a single open-source agentic or LLM-tooling project, analyzed via commit, issue, and release deltas.
- Benchmark of the day (Fri): one standardized agentic task run across multiple frontier models, results published as structured tables.
- Arxiv digest (Sat and Sun): filtered, scored summaries of recent agentic and LLM-tooling papers.
- Deep dive (weekly): longer-form pillar posts that tie the week's coverage together.
Editorial approach
Posts lead with a short summary, name entities explicitly, and prefer tables and lists over prose where structure aids comprehension. Original data (commit deltas, benchmark scores, paper rubrics) is surfaced in every post rather than rephrased from secondary sources.