Use this page to scan recent stories from Ombulabs, see the themes that keep appearing, and jump into complete story briefs.
Originally appeared on OmbuLabs.ai . You’ve probably heard the word “agent” in every AI pitch you’ve sat through this year, from vendors, from consultants, maybe from your own team. It gets used to describe everything from a customer service chatbot to a fully autonomous system nobody’s watching, which means the word a
Originally appeared on justin․searls․co - Digest . Finally figured out a bulletproof system for landing on the best model for the job.
Originally appeared on Planet Argon Blog . An honest look at what NativePHP's SuperNative makes possible for Laravel teams and what it costs. Continue Reading
Originally appeared on OmbuLabs.ai . Tracing helps answer an important question: what happened? But knowing what happened isn’t the same as knowing whether it was any good. That’s where evaluation comes in. And if you already have traces running in production, you’re closer to a solid evaluation system than you might t
Originally appeared on Judoscale Dev Blog . A couple of years ago, we rewrote Judoscale’s marketing site from NextJS to Ruby on Rails. I enjoyed the process so much that I made a video sharing how it worked, and Jon wrote a spicy piece arguing that Rails was a perfect fit for mostly-static marketing sites like ours, an
Originally appeared on Evil Martians . Author: Irina Nazarova, CEO of Evil Martians. I build developer tools and study the market that funds them. Topics: Case Study, Rails, AI, Ruby, Sidekiq Gusto runs payroll for 500,000+ businesses on one of the largest Rails monoliths anywhere. Why a team this strong hired Evil Mar
Originally appeared on The Ruby on Rails Podcast . Jim Remsik, founder of Flagrant and organizer of XORuby, joins David to talk about what he’s learned from taking a Ruby conference on the road. XORuby was designed around a simple premise: traditional conferences are valuable, but travel costs, time away from work, and
Originally appeared on Ruby on Rails: Compress the complexity of modern web apps . Eddie Galindo is an engineering lead at Ascend and Kagen Hearn is a senior software engineer there, working on a Rails app that helps insurance agencies move and reconcile money. Robby, Eddie, and Kagen get into why Ascend still runs one
Originally appeared on Evil Martians . Authors: Yuri Mikhin, Frontend Engineer, and Travis Turner, Tech Editor Topics: DX, AI, Agent Experience, TypeScript, React, Agentic development, LLMs, Continuous Integration Ten checks that catch what AI-written frontend code hides: contract codegen, boundary linting, mutation te
Originally appeared on Hi, we're Arkency . We are all juniors again A long, long time ago, when Akinator was the peak of “advanced AI” on the internet, before services became micro, and deployments meant sending a file directly from a local computer via FTP to a server, I was introduced to the Dreyfus Skill Model. As a
Originally appeared on The Rails Tech Debt Blog . Replacing a business-critical legacy system does not have to mean committing to a risky, all-at-once rewrite. The strangler fig pattern offers a practical alternative: migrate one capability at a time, run the old and new systems side by side, and gradually retire the l
Originally appeared on Carmine Paolino . Strip any agent framework down and you find the same loop: call the model, run the tools it asked for, call the model again, stop when it answers without wanting a tool. In RubyLLM 1.x that loop lived inside ask , sealed. In RubyLLM 2.0, you can also make it yours. # Run the age
Open the app view when you want faster scanning, saved stories, and source-focused reading in one place.