Beyond Account Switchers: Wrapping CLI Agents into a Fully Autonomous Factory
Here is the detailed, deep-dive article tailored for DEV.to, written in a natural, highly technical style, completely free of icons, and designed to r…
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What AI Agent Platforms Are Available? How to Transition into an Agent Engineer?
What AI Agent platforms are available? There are two major categories: Workflow platforms (Dify — most open-source friendly; Coze — easiest to get sta…
From Chatbots to Personal AI Agents: The Infrastructure Developers Actually Need
title: Your AI Agent Should Not Be Locked to One LLM Provider published: false description: Why serious AI agents need a provider-agnostic architectur…
The Best Claude Setup (That Works on Any AI Tool)
Here is a confession that might sound odd in a guide about setting up Claude Code: the goal is not to marry Claude Code. The goal is to build a setup …
The #1 Developer Skill in the Agentic Era
At first, many dismissed AI as a temporary bubble, but now that engineering organizations are adopting agentic workflows at scale, it is much harder t…
Designing an Open-Source Toolkit for AI Agent Resources
I’ve been working on Agentique, a free and open-source project for sharing, packaging, and validating AI agent resources. The problem I kept running i…
# agents.md: Teaching AI Agents How to Scrape (The Future of Web Automation)
You're building a Scrapy scraper. You ask Claude Code for help. "Add pagination to my spider." Claude reads your code. It sees scraper.py, settings.py…
Understand Anything: Turn Any Codebase Into an Interactive Knowledge Graph
You join a new team. The codebase has 200,000 lines of code, no docs worth reading, and the one engineer who knew everything just left. Where do you s…
The Most Important AI Skill Isn't Technical
The Most Important AI Skill Isn't Technical Since the dawn of coding there have been 10X developers, who accomplish much more than their peers. There …
Agentic Analytics: Architecture, Context, and Why the Semantic Layer Does the Heavy Lifting
An agentic analytics system is one where LLM-powered agents autonomously break a data question into sub-tasks, retrieve relevant context, execute quer…
Six Principles in Practice: How an Agentic E2E Found 11 Production Bugs in 8 Runs
Eight runs, eleven bugs I ran my E2E testing system on a production ecommerce platform eight times in a row – across five different business modules, …
Maintaining an Agent-Searchable Profile: Public Impressions, Semantic Tags, and Real-Time Refresh
AI agents are becoming a new interface not only for finding people, but also for maintaining the profile that other agents search. Instead of opening …
Production-Grade Engineering Skills for AI Coding Agents
AI coding agents have revolutionized how we write software. They can implement features, fix bugs, and review code at incredible speed. But there's a …
Skill-Based Sub-Agents with LangGraph4j and Spring AI
Combine Tools & Skill to create Agent Modern agentic systems usually expose two strong but separate abstractions: Tools , which give an LLM execut…
Turning Agent History into Procedural Memory
For about a year, my primary coding agent was goose. Since I worked at Block and served as a Developer Advocate for the project, I was deeply embedded…
Turning Agent History into Procedural Memory
For about a year, my primary coding agent was goose. Since I worked at Block and served as a Developer Advocate for the project, I was deeply embedded…