Habr AI
Lansoft names AI technologies that will reach production in 2026
In Lansoft's analysis, optimized transformers are named as the main candidates for production in 2026, while quantum ML and mass-market BCI
AiConf 2026 shifts format: interactive sessions, networking, and hands-on work replace lectures
AiConf 2026 moves away from traditional AI conference format, pivoting toward interactive sessions, collaborative work, and networking so pa
How ecom.tech sees the union of AI, analytics, and 1C: what already works and where the risks lie
ecom.tech demonstrated how AI is integrating into the 1C ecosystem: from semantic search and code review to video support bots, but without
Raft Analyzed Where MCP and Thin MCP Add Latency to AI Agents
Raft compared five architecture options for AI agents and showed that the main cause of delays is often not Python or HTTP, but the number o
Anthropic Accidentally Leaked Claude Code Source Code via npm Source Map
Internal Claude Code source code was exposed through .map files in an npm package, revealing a multi-agent mode, memory 'dreams' system, hid
DeepSeek V4 Launches With Focus on Price and Everyday Tasks: Review and First Tests
DeepSeek V4 is positioned as an affordable alternative to leading chatbots: early reviews praise its competitive pricing, reliable performan
EVRAZ Implements Neural Network for Steel Heating and Gas Consumption Reduction in Rolling Mill
EVRAZ deployed a recommendation system with digital twins of furnaces in NTMK hot rolling: it suggests heating modes for blanks and helps re
Turnitin and OpenAI Are Losing: Why AI Detectors Can No Longer Distinguish Humans From Models
Language models have learned to mimic human style so well that AI detectors work almost like a coin flip: they make mistakes, catch the inno
OpenAI and LinkedIn: Why Prompt Writing Has Become Critical for Career
OpenAI, Microsoft, and LinkedIn reveal one trend: the ability to write precise prompts is becoming a work skill, and vague requests now harm
Sber Develops GigaChain Without Forking LangChain, Betting on a Compatibility Package
Sber explained how it develops GigaChain around GigaChat: the team rejected a heavy LangChain fork, built a compatibility package, and is cr
Timeweb Cloud explains how edge detection filters work: from Roberts to Canny detector
Timeweb Cloud released a detailed guide on edge detection in images: it covers derivatives, Roberts, Prewitt, Sobel, Laplacian, Canny operat
Peter Publishing House released a book on conversational AI and chatbots that work
Peter Publishing House presented a book on effective conversational AI: it focuses on LLM-based chatbot creation, dialogue design, and real
SpeShu.AI explained how to find work in AI amid growing job vacancies in Russia
SpeShu.AI highlighted a market paradox: the number of AI-skill vacancies in Russia reached 16.5k per quarter, but high competition and hundr
Anthropic's Opus 4.7 consumes more tokens: hidden inflation at unchanged prices
In Anthropic's Opus 4.7, the same text may require significantly more tokens than in Opus 4.6 — with prices unchanged, this is a subtle but
Alfa-Bank Showed How Skeptics Deployed an Internal HR Service to Production with GLM-5
Alfa-Bank described an experiment with GLM-5: a team of team lead, analyst, and product manager shipped an HR service to production in just
How a YADRO Developer Configures Claude Code with Spec-Driven Development
A YADRO architect has been managing AI agents using SDD methodology for nine months and explains how to configure Claude Code to switch mode
How Just AI Helped a Bank Break Through Automation Ceiling with LLM-Agents
Hundreds of NLU-scenario branches — yet the automation rate still stalled. Just AI migrated the bank's support to LLM-agents and added a jud
10 RAG approaches that actually work in production: from basic to GraphRAG
A practical breakdown of 10 RAG techniques — from naive RAG and hybrid search to GraphRAG and Self-RAG — with guidance on when to apply each
SENSE: why the LLM market is shifting models from service to paid access to thinking
The SENSE author proposes viewing LLMs not as another SaaS offering, but as infrastructure: tokens become the unit of access to thinking, pr
Sber: Yago knowledge graph barely helped search, while LightRAG added 12 percentage points of accuracy
Sber team compared two approaches to improving search: the ready-made Yago graph barely changed results, while LightRAG built on their own d
Hugging Face and ModelAudit: research revealed the limits of built-in ML model protection
An experiment on Hugging Face models showed that ModelAudit detects additional dangerous signals, but often generates noise, and the accurac
Local Vision for z.ai GLM-5.1: 8B Model Closes 70% of the Gap to the Frontier
An author demonstrated how to add local vision to a low-cost coding agent based on z.ai GLM-5.1 via an MCP server and qwen3-vl:8b, enabling
Federal Treasury Launches AI Monitoring of National Project Construction Sites Using QMonitoring
Federal Treasury has integrated QMonitoring for 24/7 monitoring of national project construction sites: AI-powered video analysis detects ri
Aurora Proposes a Manifesto of Sustainable AI — with Memory, Identity, and Development
A manifesto on "sustainable AI" was published on Habr AI: the author proposes evaluating systems not by benchmarks, but by their ability to
SENAR introduces quality gates for AI development: how specifications and metrics reduce errors
A new part of the SENAR series was published on Habr: the author shows how mandatory specifications, input and output gates, and metrics lik
OpenWebUI breaks down how to connect System Prompt, Skills and MCP Tools for link validation
OpenWebUI's tech support bot example demonstrates why separating System Prompt, Skills, and MCP Tools is essential when you need not just to
Anthropic Changed Claude Opus 4.7's Character—And Some Developers Saw a Regression
After releasing Claude Opus 4.7, Anthropic promised a more direct and precise model, but some developers encountered excessive arguing, incr
How five documents can break a RAG system and turn a knowledge base into an attack vector
RAG reduces hallucinations, but trusted context from the knowledge base itself becomes an attack point: a few poisoned documents are enough
Habr AI reveals how a single open port in an LLM platform exposed API keys and infrastructure
A security audit team testing a RAG service with tens of thousands of users didn't break through complex attack chains, but obtained access
Anthropic Claude Won't Save You From Bad Requirements: Why AI Delivers Convincing But Weak Results
Using Claude as an example, the author demonstrates that AI often accelerates the delivery of plausible answers rather than useful results w