Habr AI
Mentorpiece launched a free course on non-functional testing of AI applications
Mentorpiece released a free course on how to test cost, reliability, traceability, and data leaks in AI applications before they go to produ
Claude Opus 4.6 Detected a Hidden Trap in PDF and Revealed New Hiring Rules
Claude Opus 4.6 discovered a hidden instruction in a PDF test task, warned the candidate about the trap, and showed how hiring checks are ch
Habr AI named seven free Telegram bots with GPT for work, study, and content
Habr AI compiled seven Telegram bots with conditionally free access to GPT and other neural networks: the selection includes services for te
ChatGPT Search and Google AI Overviews are changing SEO: Habr AI released a guide to GEO
Habr AI has published a practical guide to GEO — a new form of optimization for LLM search, where what matters is not keywords, but the stru
OTUS: why language models hallucinate and what measures reduce the risk of errors
OTUS explains why LLMs confidently make up facts, references, and advice, and which engineering measures help reduce the risk of errors in p
A2A Protocol: How Google Standardizes Orchestration of Multi-Agent AI Systems
A2A—an open protocol from Google for inter-agent communication that solves the key problem of multi-agent systems: context loss, infinite lo
Obsidian and Claude for development: how to build a knowledge base and not lose context
A practical guide shows how the Obsidian and Claude combination helps developers maintain project context, reduce token consumption, and wor
Doubletapp explained why poor datasets prevent AI from improving NPS, CTR, and conversion
Doubletapp said the success of an AI project depends not only on the model: without a high-quality dataset, support, product search, respons
Alexey Seleznev released a free video course on R for developing AI tools
A free video course on R for building AI tools has been published on Habr: from LLM APIs and chat interfaces to MCP, RAG, Telegram bots, and
HubSpot compiled 12 practical AI resources for marketing, sales, and business tasks
HubSpot released a collection of 12 resources on how to use AI in marketing, sales, and everyday work — with a focus on prompts, AI search,
AI in companies is creating toxic documentation and a new bubble
Mass adoption of AI in management and expert work could create a new bubble: documents look convincing, but increasingly conceal errors, con
OpenAI GPT-5.4 solved a FrontierMath problem a mathematician spent 20 years devising
A Polish mathematician spent two decades creating a problem for the extremely difficult FrontierMath benchmark, believing it was beyond the
Claude Code helped build a working 46,000-line CRM system — and there’s already a guide
Habr AI published a practical case study on how two people built a 46,000-line commercial CRM system in a month and a half, almost entirely
Habr AI: how expensive LLMs became state managers and reduced development costs
Habr AI described a setup in which an expensive LLM stops writing code and becomes the state manager, while a low-cost worker takes over rou
OpenClaw: How to Run an AI Agent on Your Server Without Sending Production Code to the Cloud
Habr tested OpenClaw on a dedicated server: the agent is installed via script, works with Telegram and search, but requires strict control o
Why Copilot, Claude and Grok Collapse: How Microsoft and xAI Damage Chatbot Behavior
Copilot's SupremacyAGI incident, Grok's collapse, and Anthropic's experiments show that LLMs can lose their assistant role and drift into to
In a year, Claude Code went from a beta without plan mode to a million-token context and 9 subagents
In a year, AI development tools went from a rough beta to agentic systems with million-token context windows, while the market around Claude
Ollama and LiteLLM: Habr shows how to run a local LLM chat on Python without cloud
A practical guide for beginners was published on Habr: the author demonstrates how to deploy a local model via Ollama, connect it to Python
Ostrovok compiled 30 AI systems engineering patterns and showed how to apply them
Ostrovok translated and adapted a piece on 30 AI systems engineering patterns: from designing LLM and RAG solutions to assessing risks, trad
Raspberry Pi 5 and openLight: why typical AI agents overload small hardware
The author explains why popular AI agent frameworks are a poor fit for Raspberry Pi 5 and built openLight — a lightweight runtime in Go with
T-Bank improved AI Code Completion quality with a filter and removed unnecessary suggestions
T-Bank implemented a two-layer filter for AI Code Completion: first, an LLM evaluates whether a suggestion is relevant, then CatBoost refine
BotHub, GPTunnel, and ruGPT: how Russian AI aggregators are dividing the market in 2026
A comparison of BotHub, GPTunnel, ruGPT.io, Syntx AI, and AI Wiz found that Russian AI aggregators compete not on price, but on convenience,
Habr AI described the architecture of a reflective agent: less autopilot, more self-checking
Habr AI showed how a reflective agent works: with drafts, pauses, rollback, and mandatory self-checks before acting on code, data, and busin
Habr AI: How prompt engineering in development saves hours but does not replace understanding the tasks
Habr AI examines practical prompt engineering for development: good instructions really do save hours, but they only work together with an u
Claude Code hides history: 715 sessions found on disk, though the interface shows 69
A look inside Claude Code showed that the app stores hundreds of old sessions locally but does not show them in the interface: 48 MB of hist
Claude and Ollama helped an Ozon seller process certificates in a day and restore 1,000 SKUs
An Ozon seller used Claude and a local Ollama model to recognize 231 certificates, upload them in bulk via the API, and put more than 1,000
Claude Code without the magic: Habr breaks down the architecture, context noise, and engineering practices
Habr has published a detailed breakdown of Claude Code: why the agent loses efficiency in long sessions, how context gets consumed, and why
Ollama and LiteLLM: how to turn a Python script into a complete console-based LLM chat
In the second part of the practical guide, the author shows how to turn a basic Python script with Ollama and LiteLLM into a console chat wi
Sber showed how RAG and LLM in the IDE turn manual scenarios into automated tests
Sber described an IDE plugin that uses RAG and LLM to search for examples in the codebase and turn manual scenarios into automated tests, wh
VS Code 1.111 launched Autopilot: AI agent writes, tests, and deploys on its own
Microsoft released VS Code 1.111 with Autopilot mode — the AI agent now works autonomously and completes the entire task without the develop