Nibbles
An endeavor to share curated stuff that, we think, would be fun to read and useful. Occasionally, we might throw up something original. So, watch out!

AI Is Upending Marketing on Two Fronts
AI is transforming marketing not just by automating tasks but by reshaping strategy and customer experience. On the analytical side, predictive models are enabling marketers

OpenClaw — The Open-Source Agent Framework Reshaping AI Workflows
MoltBot is rapidly becoming one of the most interesting open-source frameworks for building production-grade agent systems. It supports tool-calling, memory modules, safety hooks, and multi-step

Best of Nibbles 2025
A Curated Collection of Articles That Will Stand the Test of Time Every month, Nibbles attempts something simple and deceptively hard:to curate articles that are

Inside GitHub’s New Code Search Engine
GitHub has rolled out major improvements to its search backend — rewritten in Rust with Zing indices and near-instant streaming search across massive repos. This

What Went Wrong with the AWS Outage
The massive outage in Amazon Web Services’ US-EAST-1 region was traced to a race condition in the DNS automation of the DynamoDB service. An empty

What I’ve Learned from Talking to Top Engineering Leaders in 2025
Engineering execs share insights on AI adoption, scaling distributed teams, and the tradeoffs of speed vs stability. If you want to read more, click here.

GPT-5 for Developers —
OpenAI’s newest API models (gpt-5, mini, nano) focus on stronger coding and agentic tool-use with clear migration notes.Read more: https://openai.com/index/introducing-gpt-5-for-developers/OpenAI Realtime API (gpt-realtime) GA launch

How I keep up with AI progress (and why you must too)
“How I Keep Up With AI Progress” outlines a deliberate strategy to stay informed amid the noise of AI hype and skepticism. The author advocates

Key take‑aways from Andrej Karpathy’s keynote “Software Is Changing (Again)”
Three paradigms of software Software 1.0 – traditional hand‑written code. Software 2.0 – neural‑network “weights as code”, produced by training on data. Software 3.0 – large‑language‑model computers that you “program” with
