Not to brag, but I feel like my course with @treygrainger is simply phenomenal
We have both seen large search projects go wrong. And we know how to deliver incremental value in smaller, less sexy ways that actually work.
25% off this week :)
https://t.co/Vt52uYhtAr
Our evals course is 25% off this week! The next cohort will have completely refreshed material.
@sh_reya and I will cover new topics like: using agents for evals (w/o the foot guns), thinking like a data scientist, optimization approaches for harnesses and more.
Use this link to apply @lennysan 's special 25% off code: https://t.co/Fy8r7bAAxM
The more I do AI coding, the more I'm like, is this really any different than what I did before?
It doesn't matter whether I type the code or not
I spend so much time obsessing about test quality. About test speed. About good CI. About correctness, measuring performance, etc
@kmad@PrimeIntellect I'm curious - how do you avoid overfitting? I've been training retrievers for code generation, and straight up just using codex / claude seems to always overfit So I've built my own autoresearch coding agent to allow me to add validation checks + other guardrails
If youโre building AI-powered software, youโre building a retrieval system.
Why is a decades-old algorithm still relevant for agentic search?
Search legend @softwaredoug (led Search at Reddit and Shopify) breaks down why BM25 remains a key baseline for retrieval systems in 2026.
Check out the full segment where Doug shows us how autoresearch can power agentic search in comment ๐