What I learned building an opinionated and minimal coding agent
What I learned building an opinionated and minimal coding agent 2025-11-30 It's not much, but it's mine Table of contents In the past three years, I've been using LLMs for assisted coding. If you read this, you probably went through the same evolution: from copying and pasting code into ChatGPT, to Copilot auto-completions (which never worked for me), to Cursor, and finally the new breed of coding
What I learned building an opinionated and minimal coding agent
What I learned building an opinionated and minimal coding agent 2025-11-30 It's not much, but it's mine Table of contents In the past three years, I've been using LLMs for assisted coding. If you read this, you probably went through the same evolution: from copying and pasting code into ChatGPT, to Copilot auto-completions (which never worked for me), to Cursor, and finally the new breed of coding
TL;DR: Aim for a clear spec covering just enough nuance (this may include structure, style, testing, boundaries) to guide the AI without overwhelming it. Break large tasks into smaller ones vs. keeping everything in one large prompt. Plan first in read-only mode, then execute and iterate continuously. “I’ve heard a lot about writing good specs for AI agents, but haven’t found a solid framework yet
Codified Context: Infrastructure for AI Agents in a Complex Codebase Aristidis Vasilopoulos Independent Researcher USA arisvas4@gmail.com Abstract LLM-based agentic coding assistants lack persistent memory: they lose coherence across sessions, forget project conventions, and repeat known mistakes. Recent studies characterize how develop- ers configure agents through manifest files, but an open cha
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How to write a good spec for AI agents
Codified Context: Infrastructure for AI Agents in a Complex Codebase