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MarkTechPost
marktechpost.com > 07/12/2026 > guide-to-loop-engineering

Guide to Loop Engineering: How 'autoresearch' and 'Bilevel Autoresearch' Turn AI Agents Into Autonomous Machine Learning ML Research Loops

12+ min ago  (552+ words) Most people still use AI like a 2015 search box. You type, you read, you type again. A newer pattern replaces that manual back-and-forth with a loop. This guide explains loop engineering using two verified artifacts. The sources are Andrej Karpathy’s…...

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TechnoSports Media Group
technosports.co.in > master-ai-logic-the-prompt-chaining-revolution > web-story

Master AI Logic: The Prompt Chaining Revolution

2+ hour, 56+ min ago  (75+ words) TechnoSports Media Group Ditch monolithic prompts! The future of enterprise AI is Prompt Chaining. By breaking complex tasks into sequential, modular steps, developers are eliminating hallucinations and boosting output accuracy. Think of each prompt as a code function—verify, validate,…...

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DEV Community
dev.to > officialbidisha > i-built-a-simple-rag-app-with-langchain-openai-and-pinecone-j73

I Built a Simple RAG App with LangChain, OpenAI, and Pinecone

43+ min ago  (1693+ words) Large language models know a lot, but they do not automatically know the contents of our private files, company documents, notes, or recently written articles. In this project, I built a small RAG application that: Python for the application LangChain…...

Symbols: rag
DEV Community
dev.to > bursani > an-llm-agent-just-ran-a-full-ransomware-attack-no-human-operator-42ma

An LLM agent just ran a full ransomware attack. No human operator.

57+ min ago  (462+ words) Sysdig published the JadePuffer report this month and it changes the conversation about AI security. This wasn't a jailbreak. Nobody tricked a chatbot. Someone built an offensive AI agent, pointed it at a network, and let it run. The agent…...

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DEV Community
dev.to > mtoren > prompt-injection-as-a-controldata-boundary-problem-422a

Prompt Injection as a Control/Data Boundary Problem

45+ min ago  (586+ words) Prompt injection is often described as an LLM behavior problem. The model is too obedient. The prompt is not strict enough. The system message needs better wording. The model needs to distinguish instructions from data more reliably. All of that…...

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Kaidera
kaidera.ai > technology

Technology — Kaidera

6+ hour, 40+ min ago  (897+ words) Business-facing deep dives into how Kaidera coordinates work, memory, models, controls, and review. Local app, Cortex memory, worker teams, model providers, licensing, and operations. If you allow measurement, Kaidera will collect first-party website analytics such as page views, CTA clicks,…...

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DEV Community
dev.to > mudassirworks > stop-using-langchain-for-simple-llm-tasks-the-raw-anthropic-sdk-is-cheaper-and-clearer-4lo1

Stop Using LangChain for Simple LLM Tasks: The Raw Anthropic SDK Is Cheaper and Clearer

1+ hour, 6+ min ago  (671+ words) If you reach for LangChain every time you wire up a new LLM call, you are not alone. Most teams do it. The problem is that for simple tasks, that reach costs you in tokens, in debugging time, and in…...

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TensorOps
tensorops.ai > blog > harness-engineering-the-architecture-around-the-model

Harness Engineering: The Architecture Around the Model

12+ hour, 4+ min ago  (1577+ words) Harness Engineering is the architecture around the model: the tools, context, state, feedback, and verification that let AI agents work through long tasks on their own. Whenever I build a software system, architectural patterns help me organize my thinking. They…...

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DEV Community
dev.to > rinidh > reviewing-agentsmd-is-just-as-important-as-reviewing-code-55f5

Reviewing AGENTS.md Is Just as Important as Reviewing Code

1+ hour, 27+ min ago  (426+ words) Before diving into building more visual components, I spent some time refining the internal functionality of the frontend for Simple Orders Tracker. The application has two main custom hooks that manage data fetching, normalize API errors, transform response data, and…...

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@hackernoon
hackernoon.com > i-compiled-55-days-of-screen-activity-into-episodic-memory-for-my-ai-agent

I Compiled 55 Days of Screen Activity Into Episodic Memory for My AI Agent

3+ hour, 59+ min ago  (1300+ words) Disclosure: I built and maintain the open-source tool discussed in this article. It is MIT-licensed and free. My coding agent can quote any file in my repo. It can search the web, hit APIs, and refactor a module while I…...

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