📰 Dev.to · Nilofer 🚀

AI agents in production access tools that range from harmless read-only queries to irreversible...

When an AI agent runs for many turns, it eventually hits context limits and must compress or discard...

Most agent security tools focus on known jailbreak phrases or static rule-matching. That approach...

Training ML models has an environmental cost that most practitioners do not measure. A model trained...

You are about to push. There is a hardcoded API key buried in one of 30 changed files. Or you forgot...

When an LLM generates source code for a refactor, the output is a diff a reviewer must read line by...

AI agents are getting more capable. They can browse the web, call APIs, read and write files, and...

Most RAG systems get tested with a handful of happy-path questions. Someone asks "what is machine...

Understanding a large codebase is hard. You clone it, start reading files, and quickly lose track of...

Running vision AI locally has always had a catch, you need a GPU, or you need to send frames to a...

Building a good LLM prompt is not a one-shot task. You assemble pieces, a system message, a few...

Every codebase accumulates clutter over time. An import left behind after a refactor. A helper...

When an LLM agent fails, the trace is right there, the user turns, the tool calls, the responses, the...

A 10-turn agent session can easily accumulate 20,000+ tokens of raw history, leaving almost no room...

Most document QA systems today rely on Retrieval-Augmented Generation (RAG). The standard pipeline is...

When writing Python code, loop-heavy logic often looks correct but hides performance issues that only...