AI Agents, Source Context, and Prompt History: A New Software Development Paradigm
Software Development is Shifting from “Writing Code” to “Curating Intent” Modern LLMs can produce a large part of an implementation if the AI agent is grounded...
Software Development is Shifting from “Writing Code” to “Curating Intent” Modern LLMs can produce a large part of an implementation if the AI agent is grounded...
What I built MemCP is an MCP server that plugs into Claude Code. It prevents loss of context when you issue /compact and provides a structured memory system. N...
We’ve all been there. You spend 45 minutes tweaking a prompt. You add: - “Think step by step.” - “Be logically consistent.” - “Double‑check your reasoning.” You...
Retrieval‑Augmented Generation RAG Overview RAG has grown from a single blueprint into a diverse ecosystem of architectures, each tuned for specific performanc...
Decoupling Orchestration from Reasoning In this post, I’ll show how to design a clean, maintainable architecture for AI systems using Convo‑Lang. As a concrete...
The Problem with AI Tool Integration A lot of my work with AI looks like this: - I generate something in ChatGPT or Claude. - This happens everywhere: - Resear...
Human problem-solving is never the repetition of a single mindset, by which we mean a distinct mode of cognitive processing. When tackling a specific task, we d...
Maximizing Claude Code: Making All Information Accessible In my previous posts I’ve covered techniques for getting the most out of Claude Code. Beyond those ta...
markdown !Adam Piterahttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fu...
Introduction I didn’t start learning Prompt Engineering to become an expert. I started because I kept getting inconsistent results while using AI tools in real...
Introduction I’m going to say the quiet part out loud: your app works. Your demo looks cool. Your code, however, is a nightmare waiting to happen. Before you g...
Reproducing computational research is often assumed to be as simple as rerunning the original code with provided data. In practice, missing packages, fragile fi...