Follow AI Builders — Not Influencers

Everything was funny except the cougar thing has anyone asked Claude what they about the ad

logs are all you need (for observability)

complete and total anthropic dominance of developer mindshare. last time i saw anything like this was @supabase which had 5 Hacker News #1's in a row before dang had to manually derank them because people complained@supabase lol another one @sberens

Gotta go harder reals on.

Ok Sam this is a bar.

We are not the same.

This is a great example of writing a blog post for agents 😻

Which way, Western man?

A lot of people quote tweeted this as 1 year anniversary of vibe coding. Some retrospective - I've had a Twitter account for 17 years now (omg) and I still can't predict my tweet engagement basically at all. This was a shower of thoughts throwaway tweet that I just fired off without thinking but somehow it minted a fitting name at the right moment for something that a lot of people were feeling at the same time, so here we are: vibe coding is now mentioned on my Wikipedia as a major memetic "contribution" and even its article is longer. lol The one thing I'd add is that at the time, LLM capability was low enough that you'd mostly use vibe coding for fun throwaway projects, demos and explorations. It was good fun and it almost worked. Today (1 year later), programming via LLM agents is increasingly becoming a default workflow for professionals, except with more oversight and scrutiny. The goal is to claim the leverage from the use of agents but without any compromise on the quality of the software. Many people have tried to come up with a better name for this to differentiate it from vibe coding, personally my current favorite "agentic engineering": - "agentic" because the new default is that you are not writing the code directly 99% of the time, you are orchestrating agents who do and acting as oversight. - "engineering" to emphasize that there is an art & science and expertise to it. It's something you can learn and become better at, with its own depth of a different kind. In 2026, we're likely to see continued improvements on both the model layer and the new agent layer. I feel excited about the product of the two and another year of progress.

RT LangChain 🔥 Fastweb + Vodafone: Transforming Customer Experience with AI Agents using LangGraph and LangSmith 🔥 Fastweb + Vodafone (Swisscom Group), one of Europe’s leading telecom providers, is building Super TOBi, which brings agentic customer service to massive scale. Using LangSmith, they are: 🔹Achieving 90% response correctness and 82% resolution rates across ~9.5M customers 🔹Running daily automated evals with human oversight to continuously improve agent behavior 🔹Getting end-to-end observability into how agents reason, route, and act in real customer interactions Read the full case study ➡️ https://www.blog.langchain.com/customers-vodafone-italy/ Original tweet: https://x.com/LangChain/status/2019137136427929874