AI/ML Engineering & LLMOps

Training/inference, vector search, RAG, evaluation, safety, and production ML/LLM stacks.

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dev.to > dd8888 > reef-connects-agent-feedback-learning-and-versioned-delivery-b1o

Reef Connects Agent Feedback, Learning and Versioned Delivery

21+ min ago   (218+ words) Human-Agent-Society has published Reef, open-source infrastructure that links agent inference, interaction feedback, learning and versioned delivery. For developers, the immediate consequence is that one system can manage updates to model weights or to an agent harness—including its prompts, rules…...


dev.to > dd8888 > uajy-handbook-rag-chatbot-splits-faiss-search-from-gemini-45o5

UAJY Handbook RAG Chatbot Splits FAISS Search From Gemini

21+ min ago   (256+ words) The public UAJY Academic Document RAG Chatbot repository packages a Streamlit assistant for the 2025/2026 academic handbook of Universitas Atma Jaya Yogyakarta’s Faculty of Industrial Technology. For developers, it provides an inspectable implementation of document ingestion, local vector search, cited answer…...


dev.to > raju_dandigam > your-agent-eval-set-is-rotting-build-a-failure-mining-loop-for-google-adk-1moc

Your Agent Eval Set Is Rotting: Build a Failure-Mining Loop for Google ADK

58+ min ago   (524+ words) An agent evaluation set starts healthy. It contains the obvious intents, a few tool failures, and the happy paths used during development. Six months later, production has changed. New tools exist. Users phrase requests differently. A fallback introduced last quarter…...


dev.to > timevolt > autocomplete-like-a-jedi-building-a-trie-from-scratch-29af

Autocomplete Like a Jedi: Building a Trie from Scratch

1+ hour, 2+ min ago   (315+ words) I needed a data structure that could skip over words that don’t share the prefix, not scan them all. That’s when the Trie (pronounced “try”) showed up on my radar like a hidden shortcut in a video game—once you…...


dev.to > vitaly_ivasenko_cd7932e08 > your-coding-agent-forgets-on-purpose-a-precompact-hook-is-where-you-save-it-3gn

Your coding agent forgets on purpose. A PreCompact hook is where you save it

59+ min ago   (471+ words) Your coding agent doesn't have amnesia. It has a budget. When the context window fills up, the host compacts it into a summary — and summaries keep the what while losing the why. For engineering decisions, the why is everything. This…...


dev.to > mikachu > why-i-had-to-learn-about-state-machines-to-build-a-desktop-pet-emb

Why I Had to Learn About State Machines to Build a Desktop Pet

35+ min ago   (24+ words) While building Mochi, I ran into a problem that a lot of us hit eventually: making something happen... Tagged with ai, programming, tutorial, architecture....


wersm.com > ai-agents-can-now-report-misbehaving-peers

AI Agents Can Now Report Misbehaving Peers

48+ min ago   (298+ words) AI agents now have a way to report on one another. Two new services are designed to let agents flag suspected misconduct, even when they have limited access to the internet. Instead, the hotline uses basic GET requests. An agent…...


en.cryptonomist.ch > 09/15/2026 > bnb-chain-ai-automation

BNB Chain AI Automation Advances with Fetch.ai Agents

2+ hour, 36+ min ago   (183+ words) The core idea behind the guide is simple: split a blockchain transaction into three jobs and let a dedicated AI agent handle each one. Instead of a single script trying to send money, check that it arrived, and watch for…...


memorylake.ai > en > blogs > best-pinecone-alternatives-for-ai-agent-memory

10 Best Pinecone Alternatives for AI Agent Memory in 2026

3+ hour, 31+ min ago   (544+ words) This comprehensive guide will walk you through the top alternatives designed to give your AI systems the true cognitive persistence they need to succeed and deliver seamless user experiences. Before diving into the detailed breakdowns of each platform, here is…...


orq.ai > integrations > frameworks > beeai

BeeAI + Orq: Production observability for BeeAI agents

8+ hour, 48+ min ago   (737+ words) One API to operate every LLM Monitor AI system behavior Control AI risk, policy, and usage Govern all your MCP’s Explore and compare AI models Deploy AI products to production Evaluate LLM at scale Connect your data to LLMs with…...