EEmilienKoppinone-in-emilien.hashnode.dev·1d ago · 5 min readPain-driven DevelopmentThe issue Today I was assigned a GitHub issue. Two Laravel event listeners, nearly identical, 130 lines each, duplicating the same orchestration logic: load an entity, manage a sync lifecycle across a00
Mmarkgsaxon3inai-decodeddev.hashnode.dev·2d ago · 5 min readHow to Hire AI Agent Developers for Production SystemsQuick answer: To hire AI agent developers for production systems, look for engineers who have shipped agents that run reliably under real traffic, not just demos. Prioritize experience with LLM orches00
JMJoselo Martinezindesignednotmagic.hashnode.dev·4d ago · 3 min readLLMs and Tokens Beyond the Hype: Why Smaller Models Might Be the Better Architectural ChoiceWhen we choose and LLM, our first instinct is to pick the newest and largest model available. It's smarter, more capable, and tops every benchmark leaderboard. But is this an architectural desition? 00
MMinoxinpersonalaiassistant.hashnode.dev·6d ago · 4 min readOpenClaw - What it does, Who’s it for, What’s requiredOpenClaw is a personal AI assistant that runs on your laptop, talks to local or remote models, and exposes itself through every messaging app you already use. It can actually does the work and gets th00
DMDennis Muiruriinagentic-platform-engineering.hashnode.dev·Jul 16 · 8 min readAgentic Engineering for Platform Work: An IntroductionThere's a huge amount of talk right now about how to run AI agents well. Prompt them like this, structure the context like that, build this kind of loop, add that guardrail. Some of it's genuinely use00
APAnkita Patilinblog.ankitapatil.dev·Jul 16 · 5 min readBuilding a Production-Style AI System: Designing VibeFit from Image Upload to Intelligent RecommendationsLive Demo → Experience the application. Architecture Walkthrough → Understand how the system works. Source Code → Explore the implementation. Project Deep Dive → Read the complete architecture and 00
VAVictor Alekseevinkrocodl.hashnode.dev·Jul 8 · 64 min readJava patterns and anti-patterns for agent-driven development, part 4This is the last article in the «Java patterns and anti-patterns for agent-driven development» series. It collects what did not fit into the earlier parts, drawn from three areas: dependency handling00
AAAdnan Aliini-adnanali.hashnode.dev·Jul 6 · 7 min readThe Frontend Changed. The Contract Didn't.I ported the frontend of my dairy agent demo from React to Angular. The plan was drafted with an assistant as a spec document — six phases, each with a goal, a checklist, and a git tag — then handed t00
YKYashodhan Kholgadeinastute-thoughts.hashnode.dev·Jul 6 · 3 min readWhy AI Gains Don't Automatically Become Enterprise Gains?It is essential to understand a phenomenon that will resurface at every level: the Productivity Paradox. What the Paradox Is The Productivity Paradox describes a situation where individuals become si00
RDRaj Darshan Pachoriinnextgenrd.tech·Jul 6 · 3 min readDoes Agentic AI coding really help?Since the launch of ChatGPT, Generative AI has driven massive productivity gains across industries. But when it comes to software engineering, translating AI hype into concrete benefits has proven to 00
