Luca Steeb

@smakosh @bryan_johnson @llmgateway arguing with AI definitely decreases your lifespan tho

@bryan_johnson Tokkenmaxxing with @llmgateway via devpass.llmgateway.io

Eager to hear your life advice. What should I be doing?

We gave the @ClankrSupport widget a UX pass 🧽 • Suggested questions: chips you define in the dashboard • Expandable panel • No more rating ambush on close • Visitors can start a fresh conversation All of it in 43 seconds 👇

@praveenTweets @Uber using @llmgateway helps to for model selection, guardrails, spend limits, and real time analyics

Agentic AI adoption is on fire at @Uber, and it's changing the way we build, not just in engineering, but across the entire company. Today, 99% of our engineers use AI tools. More than 70% of pull requests are attributed to local or cloud agents. And our engineers have built 2,500+ agent skills across the software development lifecycle. Those numbers are exciting, but they led us to a much bigger question: How do we bring agentic AI beyond engineering? Finance. Legal. Operations. Marketing. Customer Support. HR. Procurement. These functions run on complex workflows that are often manual, highly nuanced, and spread across dozens of systems. You can't automate them effectively by looking at process diagrams or documentation. You have to understand how the work actually gets done. So we created something called Agentic Pods. The idea is simple. We handpicked ~30 of our most AI-proficient engineers (people with deep knowledge of Uber's systems) and paired each of them with a domain expert from a business function. Then we gave every pod just two weeks. • Days 1 – 2: Shadow the expert. Observe every step. Document workflows. Ask questions. Build intuition. • Day 3: Prioritize opportunities based on scale, repetition, business impact, and data availability. • Days 4 – 5: Build a working agent alongside the person doing the job. • Days 6 – 9: Validate with several others performing the same work. Does it generalize? Does it actually make their job better? • Day 10: Ship. In just the past two months, we've run 16 Agentic Pods across 16 different business functions. • Capital allocation across 150 cities: 15 hours → 30 minutes. • Financial pacing reports: 2 days → 10 minutes. • Marketing web quality assurance: 2 weeks → 50 minutes. • Support workflow creation: 9,000 manual workflows → self-service automation. The productivity gains are impressive, but what surprised us most wasn't the speed. • It was how quickly engineers embedded in unfamiliar domains uncovered opportunities that had been hiding in plain sight. • The biggest wins rarely come from automating one task. They come from rethinking an entire workflow. Once you redesign the workflow around AI, you often eliminate handoffs, remove unnecessary approvals, replace legacy tooling, reduce vendor spend, and dramatically accelerate decision-making. • The workflow becomes the unit of automation - not the individual task. • The most impactful agent skills cut across teams, orgs, functions, tools, and systems. The biggest lesson? The best AI opportunities are rarely visible from the outside. You discover them by sitting next to the people doing the work, understanding every friction point, and building with them, not for them. We're now forming a dedicated team to scale this further and go deeper. They'll deeply understand the work, redesign it from the ground up, and use AI to fundamentally change how the business operates. It's exciting times!

@Azure your stupid form doesn't even have latest GPT models, how am I supposed to request a rate limit increase? is this a joke?

hope this helps @microsoft @Azure

bytedance seedream 5.0 pro via @llmgateway

@smakosh @Copilot lmao

@Copilot I'm dead 😂

Honestly thanks @Copilot 😂😂😂

how is this company even alive

claude shipped team page updates and just sent me a recording ✨

@smakosh @Klarna don’t give them ideas

Tokkenmaxx now, pay later. When @Klarna

@DanielLockyer this is awesome

I just open sourced my Terraform logs visualizer ✨ Drop in a terraform plan/apply log file and it'll show exactly which resources you're spending the majority of time waiting for I've used this to cut 85% off the execution time for one client!

@levelsio double community noted is wild 😂

I've been trying to convince my gf for years sunscreen is cancerous but have as of yet been wholly unsuccessful

@Vitali_EE @smakosh @llmgateway fixed this, thanks!

@smakosh @llmgateway It doesn't help, requests go to Zai. Please check

GLM 5.2 at 20% off on @llmgateway

@RohanSudo @tibo_maker he didn't have it when he started :)

I grew to $1m MRR without inventing a single original idea Revid: AI video tools exist Outrank: SEO tools exist SuperX: X growth tools exist every product I built competes in a market that was already crowded and that's the whole strategy most new founders hunt for new, untapped markets, but I do the opposite I go where competition is brutal, because crowded means the demand is already proven but copying alone gets you nowhere - the real game is knowing which corner of the market to take 👀 tomorrow's newsletter: why copying is smarter than innovating, the man who had 8/10 hit products, and the 3 step framework for finding your corner of business subscribe below👇

@AIsaOneHQ when the vibe coding prompt was taken literally

@wbetiago same here!

Our SEO strategy keeps working and our newest asset is growing like crazy

i cannot fucking believe it

i cannot fucking believe that people write these words today

@smakosh @rekram11 great solution appreciate that it was merged in so quickly @rekram11 🙏

@rekram11 @steebchen github.com/anomalyco/mode… Luca handled it, thanks for the idea @rekram11!

Tired of waiting for PRs like this to get merged github.com/anomalyco/mode… @opencode

@smakosh @TheAhmadOsman no line of code was produced that day

@TheAhmadOsman What did you build with that?

Best bet and investment I’ve ever made in myself This was a crazy stupid thing to do back in 2023/2024 but I fully believed Local and Opensource AI were the future