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News

DEV Community
dev.to > onatade_abdulmajeed > week-9-of-100daysofcode-a-week-of-deep-spring-learning-4d57

Week 9 of #100DaysOfCode: A Week of Deep Spring Learning

6+ hour, 37+ min ago   (731+ words) This week, I decided to slow down and go deeper into the Spring Framework. Instead of focusing heavily on building new features, I spent most of my time understanding what happens behind the scenes in the framework I use to…...

DEV Community
dev.to > tjtanjin > aiops-is-more-than-just-a-chatbot-2kam

AIOps Is More Than Just a Chatbot

6+ hour, 35+ min ago   (182+ words) It started with a Discord bot React ChatBotify is an open-source project I maintain,... Tagged with ai, devops, aiops, agents....

DEV Community
dev.to > mukesh_13 > inside-hnsw-the-graph-algorithm-that-makes-your-ai-agents-memory-fast-and-sometimes-wrong-4kba

Inside HNSW: The Graph Algorithm That Makes Your AI Agent's Memory Fast (and Sometimes Wrong)

7+ hour, 14+ min ago   (526+ words) Every time an AI agent calls something like memory.search(query, limit=5), a graph traversal runs underneath it that most developers never look at. It's not a database index in the traditional sense — it's closer to a probabilistic subway map,…...

DEV Community
dev.to > onurcinar > herding-ai-agents-a-weekend-with-herdr-tmux-and-remote-fleets-4cb8

Herding AI Agents: A Weekend with Herdr, Tmux, and Remote Fleets

7+ hour, 26+ min ago   (1460+ words) I like making life harder for myself most of the time (check out Pushing the Limits: Turning a 4GB Lenovo Duet Chromebook into My Primary Development Machine). As AI agents have gotten better, to the point where you can actually delegate…...

DEV Community
dev.to > vic_makes_ai > i-built-2-telegram-bots-with-qwen38-max-and-the-results-were-seriously-impressive-4ceg

🤖 I Built 2 Telegram Bots with Qwen3.8-Max — and the Results Were Seriously Impressive

7+ hour, 36+ min ago   (274+ words) 💬 Following up on the story about the release of Qwen3.8-Max, I finally tried it on real-world tasks. Specifically, for building AI consultants for text channels (messengers) in my favorite programming language — Go. Spoiler: it’s really good, especially for such a…...

Towards Data Science
towardsdatascience.com > designing-a-persistent-knowledge-layer-that-refuses-to-guess

Designing a Persistent Knowledge Layer That Refuses to Guess

11+ hour ago   (1809+ words) Blueconic sets this cookie as a unique identifier for the BlueConic profile. In my RAG-ING Ahead series I worked through a complete cloud-native retrieval stack: speech and document processing, chunking, embeddings, Azure AI Search, and an assistant layer sitting on…...

DEV Community
dev.to > spongeb0b > pylint-was-too-slow-so-i-built-arid-2h60

Pylint Was Too Slow, So I Built Arid

10+ hour, 47+ min ago   (1500+ words) I didn't set out to write a duplicate-code checker. I was working on Polaris, a fairly large Python project, and doing what I normally do: running code-quality tools against it. Ruff handles most of what I want from a Python…...

DEV Community
dev.to > divyansh_rai_8ac27714ba7e > how-do-you-catch-it-when-a-model-update-changes-your-agents-tool-calls-1bpf

How do you catch it when a model update changes your agent's tool calls?

10+ hour, 22+ min ago   (438+ words) Your agent calls get_weather(city="London"). The provider ships a new model version. Now it calls get_weather(location="London, UK"), your downstream parser breaks, and nothing in CI told you. I built a small library for exactly this failure: pip install toolcontract…...

deepinspect.ai
deepinspect.ai > blog > nvidia-nim-dlp

NVIDIA NIM DLP Needs Policy at the AI Request Boundary

18+ hour, 27+ min ago   (135+ words) NVIDIA NIM can carry enterprise context into an LLM workflow. DLP needs a decision point that evaluates the prompt, response, originating identity, data classification, and selected route before content reaches the model. This article sets out the request-path evidence a…...

Medium
medium.com > @moksh.9 > response-validation-stop-trusting-llm-output-blindly-07bccae156d8

Response Validation: Stop Trusting LLM Output Blindly

6+ hour, 36+ min ago   (78+ words) LLM returns an answer. You use it. But did you check if it’s correct? Probably not. You assumed it was right. Wrong assumption. LLMs hallucinate. And you didn’t validate. - Financial decisions (always) - Medical information (always) - Legal statements (always) - User-facing facts…...