DevBehindYou·Sep 19AI-Native vs Traditional Architecture: 9 Key Differences + 7 Principles for Modern AppsKey Takeaway: Traditional architecture assumes software is deterministic: the same input always gives the same output. AI-Native…
Onyebuchi Omoigberale·Sep 12Idempotency in Modern Web Applications: Why Doing the Same Thing Twice Should Only Count OnceImagine tapping "Pay Now" on an e-commerce app while riding through a subway tunnel. The screen freezes, the loading spinner spins…
Noël Schneuwly·Aug 30Agentic Applications in GIScienceHow Agentic Applications can add benefit to GIScience
Nikita Jaiswal·Aug 11Designing Enterprise-Grade Agentic ApplicationsAI agents have moved rapidly from experimental prototypes to serious enterprise workloads.
Farhat Hadi·Jul 26Notes on the Twelve-Factor App, for the AI Age (Part 2)The original twelve factors govern the process and its dependencies. They predate the input, the evaluator, the fused code/data plane, the…A response icon1A response icon1
Subash Selvaraj·Jul 16Agentic Apps Using App Builder and MCP -Part 1Getting started and creating your project — the foundations for building interactive AI experiences with Adobe App Builder and the Model…
Sebastien Castus·Jul 11Words vs. Hands: why the next wave of AI isn’t smarter – it’s wired inPicture the person who runs a small brand.
Pankhuri Trikha·Jun 27I Built a Team of AI Agents to Talk to a Data Warehouse — and It Won 1st PlaceMy first agentic AI project: the agents I built, how they work together, how I kept them honest, and what it taught me.
ABTdomain·Jun 11Putting a Small Model Into an AI Agent: The Data Stays, the Pipeline FliesWe maintain DKSplit, an open-source domain-name segmenter powered by a small ONNX model. It splits hundreds of thousands of domains into…
Kowshik Kumar·Jun 11From Prompt to Action: Building Agentic AI That Actually Gets Things DoneThe future of AI isn’t about answering questions. It’s about taking action.
