Lost in the AI Jungle? Here’s Your Map (and Yes, It Comes With Snacks)

by Master AI - Hams AI Tech — Meet Sarah. She’s an accountant. Ten years of spreadsheets, coffee stains, and the quiet confidence of someone who knows exactly where…

Medium·1h ago

4 Concepts That Explain How AI Connects to Other Software

by Aamir Yaqoob — Follow one calendar lookup to see what the model requests, what software executes, and where the pieces fit.

Medium·1h ago

We Stopped Using @Transactional Around Entire Business Operations

by Production Systems — Spring Boot made transactions easy enough that we stopped thinking about where they should end. The code looked clean, the rollback…

Javarevisited·9h ago

I Tested Qdrant Quantization and mmap on EV Charger Search

by Pranshu Bansal — What got smaller, what stayed accurate, and where the memory really wentWhen I started this project, I had a question in mind: if a charging network keeps adding stations and search records, how much...

Towards AI·11h ago

AI Citation Studies Range From 8% to 93%. Both Numbers Are Right.

by Vinay Upadhyay — I went back through the methods. The gap comes from how each study was set up, and it tells a SaaS team where Google rankings still earn…

Medium·12h ago

The Trade You Got Right and Still Lost Money On

by Dexoryn — Prediction markets have a blind spot most traders never see coming. You can call the outcome correctly, watch the price move exactly as…

Medium·14h ago

How we route one request across 554 AI agents (and what kept going wrong)

by Nuveki Ai — Nuveki is a chat where you work with a team of AI agents instead of one assistant. There are 554 of them now, each one a specialist on the…

Medium·1h ago

Meta Connect 2026: How to watch the keynote live

Mashable·6h ago

AI Writes Java Surprisingly Well. Production Is Where the Problems Start.

by The System Design Journal — The generated code compiled, the tests passed, and the pull request looked clean. The dangerous mistakes were hiding in transactions…

Medium·9h ago

When Artificial Intelligence Enters the 3D World: The Story of Metarang’s Intelligent Assistant

by متاورس رنگ | METAVERSE RANG | METARANG | متارنگ — A 3D assistant that is not designed simply to answer questions; it is designed to know where the user is, what they are doing, and how it…

Medium·11h ago

What I Learned Feeding a Calendar Sync Into Hindsight

by Balley Indhu — Calendar sync is one of those features where the demo is one line and the real work is everything around it. POST /api/calendar/sync-now…

Medium·13h ago

How to Turn a Spreadsheet into a Live AI Dashboard (No Looker Studio or Excel)

by Rimlauf — A spreadsheet is where data goes to sit still. You open it, you sort it, you close it, and the numbers quietly age while the business…

Medium·17h ago

Your Content Credential Knows What the Tool Saw

by Joseph Desmond Cruel — It has no way to know what your team decided. Where that record can live, and what to ask your vendors before the next delivery.

Medium·1h ago

OpenAI’s latest features take direct aim at the app store model

OpenAI is building out the pieces of an alternative to the traditional app store model, turning ChatGPT into a place where software can be discovered and used by people and AI agents alike.

TechCrunch AI·10h ago

The Zero-Code AI Agent: Bridging Spring Boot and LLMs with OpenAPI

by Mohamed amine Boulamared — How Spring-doc and the Model Context Protocol eliminate the “maintenance tax” of custom AI tool wrappers.

Medium·12h ago

~93% Accuracy Wasn’t Enough: What I Learned Building an Enterprise AI Chatbot

by Ayush Roy — I thought getting the accuracy above 90% would be the satisfying part. It turned out to be where the interesting questions started.

Medium·18h ago