<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/GCN26_103A_BlogHeader_2096x1182.max-600x600.format-webp.webp">Capcom, Home Depot, Mars and more businesses that are turning AI into an operational advantage.
This post is cowritten by Anil Akarsu and Dr. Renè Holschuh from BASF. BASF is a global chemical industry leader and active member of the Catena-X Automotive Network. It pioneers sustainable solutions that enable automotive organizations to track carbon emissions across complex supply chains. CircularTree transforms sustainability reporting through innovative digital solutions that systematically identify and control Scope 3 greenhouse gas (GHG) emissions across global supply networks. They esta
There’s a lot of hype (and hate!) right now around "Vibe Coding". And rightly so. The idea that you can build out software entirely by kicking back and commanding AI agents to do the typing for you is an incredibly exciting concept, but most people trying this are hitting a brutal reality after just a few days: AI Code Rot. First it works. Then it fails. And you have no idea how to fix it. I decided to build an app: a complex dinner scheduling engine. It imports recipe URLs and outputs
I've built software for clients for 38 years and kept hitting the same wall: weeks spent scaffolding the data layer and the Clean Architecture around it before any real work begins.I asked Claude to estimate how long it would take to generate a complete "Access Control" app using Claude Code: 40 entities, 1,604 files, Clean Architecture, RBAC, tests. The answer: 50–80 hours and up to $350 in API costs.ClickMVP generates the same output in under 2 seconds. No LLMs in the generation
Hello HN, built this project to unify cutting edge tech for fast vector and raster serving over the web into a single docker compose, using only open source technologies.The main language is python, DB is postgres with postgis, vector tiles made with tippecanoe, satellite image search via STAC and rendered with titiler.OGC API spec is the glue to make it all integrable with existing software like Qgis.The project code was created using ai assistance, following my architecture decisions gathere
I had a chat with my team mate today and they brought up an interesting point. If AI is cooking our software and doing an amazing job, for us devs what does "great" look like? How do WE improve? How do we assess performance of us, i.e. "the humans"? What do we base salaries on?Have you discussed this in your organisations? Does anyone have a plan? If your dev teams are creating scaffolding, harnesses, skills and getting CC to cook up everything, make PRs, perform reviews, fin
Maintaining software goes beyond PR review. Octokraft is a technical debt management platform that helps you ship confidently by validating patterns, consistency, security, and more across your repositories. It tracks code friction, development practices, PR reviews, stacked PRs, and more.It detects architecture drift, learns your team's conventions and enforces them on new PRs, measures test quality beyond just coverage, and shows you which parts of the codebase are getting harder to wor
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/GeminiEnterprise_social.max-600x600.format-webp.webp">This new platform creates a single environment for technical teams to build, scale, govern and optimize autonomous agents.
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Cloud_Next_Collection_Header.max-600x600.format-webp.webp">Here’s a look at what Google announced at Google Cloud Next ‘26.
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Were_launching_two_TPUs_social.max-600x600.format-webp.webp">The eighth generation of Google’s TPU includes two specialized chips that will power the future of AI.
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Cloud_Next_Header.max-600x600.format-webp.webp">Google CEO Sundar Pichai discusses the top announcements at Cloud Next 2026.
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/two_chips_for_the_agentic_era_h.max-600x600.format-webp.webp">An overview of Google’s eighth generation TPUs, built for the agentic era.
This post is cowritten with Avdhesh Paliwal from Oldcastle. Oldcastle APG is one of the largest suppliers of construction materials in North America, including asphalt and concrete. The company also provides construction and paving services across more than 150 facilities. As the company migrated from on-premises systems to Infor Cloud ERP hosted on Amazon Web Services (AWS), they faced a critical challenge: maintaining the real-time operational reporting capabilities that hundreds of users acro
We’ve fundamentally transformed Facebook Groups Search to help people more reliably discover, sort through, and validate community content that’s most relevant to them.We’ve adopted a new hybrid retrieval architecture and implemented automated model-based evaluation to address the major friction points people experience when searching community content.Under this new framework, we’ve made tangible improvements in search engagement and relevance, with no increase in error rates.People around the
The Asymmetric Numeral Systems (ANS) algorithm (Duda et al, 2015) is perhaps the most practical way of getting near optimal compression ratios for independent and identically distributed random sequences of symbols from a known discrete probability distribution. Simplest example: a random sequence of 0’s and 1’s with probability p of getting a 1. Shannon’s entropy formula gives us the expected compression ratio for such a sequence, but realizing that compression ratio efficiently in a computer p
hi HN — we're Cem and Oguzhan. today we are releasing Egregore (https://github.com/egregore-labs/egregore) as an open-source shared memory and coordination substrate for teams using Claude Code. MIT, runs locally, `npx create-egregore@latest --open`. Here's a 90-second walkthrough: https://shorturl.at/e1RX2we were essentially working on dynamic ontology systems (how to organize unstructured data given context / starting conditions dynamically). s
I am writing the post, because I want to show that with AI, really complex and meaningful projects can be done, if the proper tools were used the proper way. I needed a project that I can use, so that I see how far I can go with only AI usage. I needed something doable, but relatively complex. And then I remembered an idea my wife shared with me, a few years ago: an app that monitors her grandfather's behavior and sends a notification if he stops moving. at that time, AI integrations were
I've been using Claude Code and Cursor for several months on a real project. The tools are impressive, but I kept running into the same failure modes:1. Long sessions cause context drift — the AI gradually ignores the original design 2. The AI writes fake tests — empty assertions, mocking the thing being tested 3. No research phase — the AI guesses how a framework works instead of reading the docsOPC Workflow is my fix: three markdown files you put in your project and trigger as slash com
Libretto (https://libretto.sh) is a Skill+CLI that makes it easy for your coding agent to generate deterministic browser automations and debug existing ones. Key shift is going from “give an agent a prompt at runtime and hope it figures things out” to: “Use coding agents to generate real scripts you can inspect, run, and debug”.Here’s a demo: https://www.youtube.com/watch?v=0cDpIntmHAM. Docs start at https://libretto.sh/docs/get-started/introduct
This is a very early POC to gain feedback for a project I've been working on for the last couple of months.<p>Let me know what you think!<p>Based on an ODI (Outcome Driven Innovation) research on current pain points documenting software architecture.