Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
A Reinforcement Learning tutorial without the math: just code for programmers
A developer from Cinimex publishes an introduction to reinforcement learning on Habr — no math formulas, just understandable code and explanations of why each step is needed.
CrewAI Launches Conversational Flows: Building Agentic AI for Banks and Telecom
CrewAI has introduced an experimental Conversational Flows mechanism to balance deterministic scenarios and AI reasoning in enterprise-class agentic systems.
AI Engineer World's Fair 2026: Agentic Pipeline Analyzed 560 Conference Sessions
A developer built an agentic pipeline and processed 560 sessions from AI Engineer World's Fair 2026 — the first Russian-language breakdown of the conference with summaries, timecodes, and navigation.
Saint HighLoad++ 2026: AI Gets Its Own Track and a New Term "harness"
At Saint HighLoad++ 2026, AI occupied its own track for the first time: the terms "harness" and "ai-native" were heard, and speakers did not notice contradictions in their own theses.
SimpleOne explained the architecture of AI agents in its enterprise GenAI platform
The SimpleOne team broke down how AI agents are built in their GenAI platform: components, use cases in corporate processes, and the approach to security when working with real data.
Sberbank Converted GigaChat3 to Diffusion Mode: How the GFusion Project Works
The GigaChat Pretrain team (Sberbank) converted the 10-billion parameter GigaChat3 model to diffusion mode without training from scratch and obtained two experimental checkpoints: GFusion.
MTS Web Services Switched from RAG to AI Agent for Initial Support Ticket Triage
The MTS Web Services team explained how their RAG system for searching Jira and Confluence struggled with incident investigation — and how it was replaced by an autonomous AI agent.
Vibecode in Bitrix24: Building a Customer Profile with AI Agents — A Step-by-Step Experience
The team tested the Vibecode platform within Bitrix24: built a "customer profile" application with contacts, deals, and leads, and honestly reported where the AI failed.
Machine Vision: How AI Technologies Are Patented in Russia and Globally — OnlinePatent Overview
OnlinePatent patent agent analyzed on Habr how companies protect developments in machine vision — from recognition algorithms to neural network architectures — in Russia and abroad.
60% of AI Projects Fail to Reach Production — How ESM Creates a Foundation for Success
According to Gartner, 60% of enterprise AI projects fail to reach production due to unready data — not budget. ESM platforms offer a structural solution to this problem.
Production Agent on Claude Without LangChain and RAG: 712-Line Architecture for an Interior Design Studio
A developer built a production AI agent for an interior design studio on Claude Haiku 4.5 and Sonnet 4.6 without LangChain and RAG — and honestly analyzed all architectural tradeoffs.
Rented Intelligence: Why Russia Is Losing the Battle for AI Sovereignty
A Habr analyst breaks down why renting Western AI models leads to a dead end, how labor replacement pumps money abroad, and what lawmakers will respond with.
Anthropic Blocks Foreigners from Fable 5: Global AI Splits Into Sovereign Models
On June 12, 2026, Anthropic unexpectedly revoked access to Fable 5 and Mythos 5 for all foreign users — an incident that accelerated the race for sovereign AI models.
Prompt injection via Claude Code skills: how to check a plugin before installing it
OSS skills for AI assistants can contain executable code with user privileges. We explain why prompt injection via plugins is more dangerous than ordinary vulnerabilities.
Marina Lomadze, Cloud.ru: what to become in three years if your colleague is an AI agent
Cloud.ru head of hiring explains which roles are emerging around AI right now — and how familiar professions are transforming when working alongside multi-agent systems.
Oracle, Microsoft and Meta laid off 165,000 employees to invest in AI infrastructure
The biggest tech companies — Oracle, Microsoft, Meta and Amazon — laid off 165,000 employees, redirecting the freed-up funds toward building AI infrastructure. *Meta is designated an extremist organization and banned in
Sber AI Lab adapts object detection methods for event forecasting
Researchers at Sber AI Lab found a formal analogy between object detection and event forecasting and presented the results at the AAAI 2026 conference.
Fuel Crisis Exposed a New AI-Era Phenomenon: Dozens of Identical Services in One Week
Over seven days, more than ten identical gas station monitoring services emerged in Russia — independently created with AI assistance during the gasoline shortage.
Subagents in Claude Code: how to delegate reviews and tests to separate agents
Claude Code runs into context limits, not model capacity — subagents solve this by moving reviews, tests, and audits to separate agents with their own context and rules.
Vibe coding with Claude Code and Copilot: why development speed comes at the cost of security
Vibe coding with GitHub Copilot, Claude Code and Cursor accelerates development but destroys the DevSecOps model: developer data leaks into AI models without control, and code provenance becomes opaque.
PAD+ AI v4.0: open cognitive architecture with 22 processing phases on top of LLMs
A developer built PAD+ AI v4.0, an open platform with 22 cognitive phases, 6 memory types, an emotional model, and X-Ray tracing on top of any language model.
Enterprise AI: why 10,000 queries hide just 14 real users
An analyst tracked AI deployment in four companies and found that, of 10,000 documented queries, only 14 of 4,000 employees were using the assistant weekly a quarter later.
JetBrains Rethinks IDE: The Next Primary User Is an AI Agent
While developers move to terminals with Claude Code and Codex, JetBrains offers a different approach: the IDE isn't going anywhere, it will just have an AI agent as its primary user, not a human.
Alena from Sber: why evaluating an LLM on 20 examples is more dangerous than not evaluating it at all
The curator of the MERA benchmark explains why a “quick check” on 10–20 examples using an LLM as judge creates a dangerous illusion of quality control instead of a real evaluation.
Transformers at the wheel: how Yandex uses AI to control self-driving vehicles
The Yandex Autonomous Transport team explained how Transformer architectures work in Motion Planning and why good prediction metrics do not guarantee safe driving.
Sarah Guo of Conviction: why LLM won't replace work that can't be measured
The founder of the AI fund Conviction explained why part of valuable work is structurally out of reach for language models — and how that shapes the logic of venture investing.
Why AI pilots don’t make it to production: what must be in place before scaling
A successful AI pilot does not guarantee a production rollout. Six governance controls without which any AI solution will remain stuck at the polished-demo stage.
AI assesses Russians' job suitability from their faces — developers move into the public sector
Russian developers have created a neural network that supposedly determines job suitability from a facial photo in seconds, and are now promoting it for public-sector hiring.
Prompter for the technical interviewer: Reksoft built AI to counter AI cheaters
Reksoft developed an AI prompter for the interviewer — a tool that helps expose candidates using neural networks in technical interviews.
75,000-star Caveman skill promises to cut Copilot token usage by 75%
After Copilot changed its pricing, developers are looking to save. The Caveman skill promises 75% savings without quality loss — by forcing the AI to answer in a caveman's telegraphic style.