machine-learning

Optimizing RAG Pipelines, Migrating AI Agents, and LLM-Powered Troubleshooting Today's Highlights This week's highlights cover advanced strategies for building and maintaining robust AI systems, from fine-tuning RAG pipelines to orchestrating agent migrations. We also explore practical, real-world LLM application in IT operations. A Cognitive Benchmark for Code-RAG Retrieval: Part 2 — Why Model R…

Gemini Prototyping, AI Code Migration Agents, and LLM Transparency Insights Today's Highlights Today's highlights include Google Gemini's rapid app prototyping capabilities for developers, showcasing how AI can generate functional apps from prompts, alongside insights into AI agents for accelerating legacy code migration projects. We also examine the critical importance of transparency in the com…

Build custom AI apps - chatbots, RAG pipelines, and agents - entirely on your own hardware with Dify and Ollama. No monthly fees, no data leaving your network. What You Need A GPU with 12GB+ VRAM (RTX 3060 12GB or better) Docker + Docker Compose 2.24.0+ About 20 minutes Architecture Component Role Dify Visual app builder, RAG engine, agent framework, API layer Ollama Serves local models via OpenA…

TL;DR: Two tools cut Claude Code token usage at two different layers. RTK is a shell proxy that compresses command output before it ever reaches the context window. context-mode is a Claude Code plugin that does heavy tool work in a sandbox and hands back only the answer. They stack cleanly on top of each other, and a single skill installs both. This article explains how each one works and how to…

Claude is genuinely useful for production Linux troubleshooting — when you use it right. Here's the workflow that works, after a year of using it on real incidents across Ubuntu, RHEL, and Rocky. The mental model: Claude is a senior pair, not an oracle The mistake most engineers make on day one: they paste a 5-line error message and expect a fix. Claude can do better than that — but only if you g…

My day job is at a large tech company. Hundreds of engineering teams, and every one of them is somewhere different on AI adoption. Some are still treating coding agents as a curiosity. Some have quietly rebuilt their whole workflow around them. Most are in the messy middle, and watching that middle is where the idea for Penling came from. Spec-driven development has arrived, and I think it's the …

Hello Dev.to! 👋 I'm the architect of an experimental post-quantum VPN protocol called QCRA (Quantum-Chess Routing Architecture). It’s written entirely in Rust (250K+ lines, 46 passing test suites). Today, I’m open-sourcing the protocol specification along with a Cryptographic Open Challenge for anyone who wants to try and break the math. 🚨 The Threat: AI-Driven Traffic Analysis The standard appro…

If you've spent time on software engineering teams, you know pull request reviews are the ultimate bottleneck. They're slow, inconsistent, and often skipped entirely under deadline pressure. Reviewers get fatigued, rubber-stamp approvals become the norm, and suddenly, subtle bugs creep into the codebase. Human review is essential for architectural alignment, but for catching obvious code smells o…

We run a studio where AI agents work mostly unattended — they write code, ship sites, produce content, and keep going without a human in the loop. Running agents like that, around the clock, teaches you one thing fast: the bill is the product constraint. Not the model's intelligence. The bill. Here's the most expensive lesson we paid for, and the architecture we rebuilt to stop paying it. The 136…

The TL;DR If you need to spin up a local, privacy-first AI agent that can query your own internal documents without sending data to third-party APIs, this guide covers the exact architecture using TypeScript, Python, and Ollama. Time to complete: ~15 minutes. Prerequisites: Python 3.10+ or Node.js installed, basic familiarity with embeddings. The Problem: API Costs & Data Privacy When building pr…

Everyone uses the word "memory" but I feel like they all mean something different by it. For some people it's conversation history getting stuffed back into the context window. For others it's a vector database getting queried for relevant chunks or a profile of the user that updates over time or a scratchpad the agent writes to mid-task and forgets the second the task ends. Calling all of that "…

I built Lease Lens for the Hugging Face Build Small Hackathon . The idea is simple: most people sign contracts they do not really read. That is true for apartment leases, freelance agreements, gym memberships, SaaS terms, and small-business office leases. The risk is not that every contract is malicious. The risk is that a normal person can miss a renewal clause, late-fee stack, deposit condition…

Today, June 15th, 2026, I officially start my 6-month LFX mentorship under the Linux Foundation Decentralized Trust (LFDT) program. I will be working on a project called Hiero Contributor Identity Verification Prototype, under the guidance of my mentor Alexander Shenshin. * ## What am I building, and why does it matter? * In open-source projects, anyone can open a pull request. But how does a pro…

AI could accelerate the hunt for new physics, but sometimes it knows too much to see what’s right in front of it. Artificial intelligence could make it much cheaper and faster to search for new laws of physics, according to a new study published in the Journal of Cosmology and Astroparticle Physics (JCAP). But the [...]

For about a year I used AI to code like a slot machine. Paste a wall of code. Type "fix it" or "make this better." Pull the lever. Sometimes I won. Usually I got a confident answer that solved the thing I asked about and quietly broke two things I didn't. I assumed the problem was the model. So I switched models. Same slot machine, nicer graphics. The problem wasn't the model. It was that I was g…

In my last claim, a sequence got allowed that probably should have made you nervous. Thirteen refunds, split across two windows, with a close in between. Each window stayed under its limit. The close was authorized. The gate let it through. And it was right to. That bothered me for days. Not because the gate was broken. Because it wasn't. CLAIM-30 was about the sharpest failure mode I have found …

Stop Picking AI Frameworks Before You Answer This One Question If you're building AI agents on Azure, you've been here: a kickoff meeting where someone asks "what framework should we use?" and the next 90 minutes becomes a debate between Semantic Kernel, AutoGen, Copilot Studio, Foundry, and Logic Apps — before anyone has agreed on what the agent actually needs to do. That is the wrong sequence. …

Hey DEV Community! I recently participated in a hackathon and built Samiksha AI , a universal review and comment analyzer designed to turn messy customer feedback into structured business intelligence. The Problem Generic star ratings on e-commerce platforms don't give business owners the full picture. Rule-based sentiment tools often fail to catch sarcasm, background noise (like shipping complai…

This is the narrated version of our free, interactive Data Engineer Roadmap . Same areas, same order, with a focus on the one thing each layer asks of you that AI can't do for you. Every data engineer roadmap written before early 2025 made the same quiet assumption: that the hard part was writing the code . Learn SQL. Learn Python. Wire up a pipeline in Airflow. Ship it. Congratulations, you're a…

AI chatbots can reinforce specific mental health symptoms. As a clinician, it's critical to know what questions to ask.