4d ago · 2 min read · Most teams still write code first and specifications later. That worked when systems were smaller and requirements were simple. It breaks down quickly when software becomes distributed, AI-assisted, a
Join discussionMay 25 · 5 min read · Everyone is building AI agents right now. But most of them have one major problem: They forget everything. You ask the agent something… then ask a follow-up question… and suddenly it behaves like it h
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May 10 · 8 min read · 5 Agentic Workflow Patterns Every AI Developer Needs Photo by Christina Morillo on Pexels You've built a few AI agents, but they feel clunky. One agent gets stuck in loops, another can't handle complex multi-step tasks, and your third attempt at coo...
Join discussionMay 8 · 7 min read · Photo by Brett Sayles on Pexels You're staring at your AI agent's lackluster responses, wondering why it keeps hallucinating facts about your company's products. The truth is, most developers jump straight into building agents without understanding t...
Join discussionMay 7 · 17 min read · CLI is the new MCP. Slogan aside: CLI is super powers handed to Claude, Codex, and every agent that codes for you. Letting coding LLMs verify their own work programmatically gives them an unfair advantage over classic fullstack apps that didn’t ship ...
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May 6 · 10 min read · The morning ritual of the vibe-business-coder. You open your macbook and you don't ask what your agents produced overnight 🤓 You ask what they broke. You walk the floor. Logs, drifts, hotfixes. You're not running an autonomous company, you're pullin...
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May 4 · 7 min read · Over 73% of AI agent implementations in production now leverage tool-calling capabilities, transforming simple chatbots into autonomous systems that can interact with APIs, databases, and external services. Tool use has become the cornerstone of prac...
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