Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
Why CLAUDE.md Won’t Save Your Project: Lessons From a Failed AI Adoption in Development
A developer candidly explained how he tried to bring AI assistants into his team during a migration to a new stack — and why the magic config file proved to be an illusion. A story worth reading before you repeat his mis
How Claude Code solved in 40 minutes a task a programmer failed to solve five years ago
An engineer with no programming background built an MVP for video motion detection in industrial IoT using Claude Code. It took 40 minutes in total — a project that had been shelved for five years finally worked.
How to teach a language model to write so it’s indistinguishable from a human newsroom
A development team explained how they tackled a nontrivial task: getting an LLM to imitate the style of a specific media outlet so well that the text could not be distinguished from something written by a human. The tech
Agentation: the tool changing the way developers communicate with AI agents
In two months, Agentation reached 120,000 downloads on npm and promises to make work with Claude Code twice as fast. We look at what is behind the hype and why React developers have taken notice.
The end of vibe coding: how to build an LLM-assisted development process that doesn’t kill the project
A developer spent a year using language models to write code and hit a classic trap: clean output, chaos when the project scales. His solution is a systematic approach to AI-assisted development.
How MCP servers are turning IDEs into smart developer assistants
A developer connected WHOIS checks to Cursor through an MCP server and no longer had to manually check taken domains. But the main point here is not domains — it is where the entire ecosystem of AI tools for programmers
When Neural Networks Litigate: How Multi-Agent Systems Are Changing Legal AI
Researchers at Tsinghua and the Russian team AiYurist independently reached the same conclusion: to stop AI from hallucinating in court, neural networks need to argue with each other. But academic theory and real-world B
Neuro-symbolic AI: how to finally get language models to do arithmetic
Language models fail at elementary arithmetic, and neither Chain-of-Thought nor fine-tuning helps. A Russian researcher proposed an architecture that combines symbolic AI with neural networks — and it could change the ru
Why a single AI agent falls short: multi-agent system architectures for real-world production
Just AI shares its experience building multi-agent systems and explains why the attempt to create a single super-agent inevitably ends in failure. Linear chain, swarm, orchestrator — which architecture survives in produc
ChatGPT Health and Cowork: the key AI developments of the second week of January
January 2026 began with major announcements: from OpenAI's medical tools to Anthropic's new work automation solutions. We cover the main trends and rising hardware prices.
The Economics of AGI: Why Endless Growth in AI Capabilities Does Not Guarantee Prosperity
An in-depth look at how labor automation could destroy market demand and why conventional GDP metrics will become meaningless in the era of strong artificial intelligence.
SpaceX-xAI merger: orbital neural networks or financial maneuver?
Elon Musk is merging his space empire with an AI startup. As SpaceX plans a million satellites for data centers, experts debate whether the deal is an attempt to save loss-making xAI.
Enthusiast built a personal Cursor alternative using Claude and Google
A story about giving up paid subscriptions and building a custom development tool using only free APIs and chatbots, without writing code manually.
The Formula for the Ideal Coding Prompt: From Toy to Companion
How do you turn a neural network into a powerful tool for a developer? The art of writing prompts.
From autocomplete to autonomy: how to build a full-fledged AI agent
The story of how disappointment with the capabilities of Cursor and Claude Code led to the development of a truly autonomous AI assistant with deep planning.
Anthropic vs. OpenAI: The Technical Battle for Generation Speed
Anthropic and OpenAI have introduced different methods for accelerating AI, from batching optimization to specialized chips. Find out what lies behind the speed records and response quality.
How Claude Code Helped Rewrite a Complex IT Platform in Just Two Months
A story about how a team of four specialists used AI to complete a project that had remained unfinished for four years. Discover how Claude Code is changing development.
AI Security in 2025: From Backdoors to Agent Threats
Industry experts summed up the year in AI Security. We discuss the real cost of attacks, vulnerabilities in LoRA adapters, and new risks associated with autonomous agents.
From generation to simulation: how AI agents gain memory and will
Neural networks are learning to build stable worlds in real time, while agents are gaining autobiographical memory. We explain why LLMs are not a dead end, but a foundation for future AGI.
Gary Marcus vs. Nature: Why rumors of AGI's arrival are premature
Prominent AI critic Gary Marcus argues that modern language models are merely sophisticated statistical approximations, not true general intelligence.
The Art of Self-Presentation: How Neural Networks Help Reframe a Developer’s Background
Learn how AI can turn a standard list of technologies into a compelling narrative of professional expertise and help you stand out from the competition.
Human vs. Claude Code: results from a year of using AI in development
A developer ran a personal experiment to find out how much his productivity had actually increased after a year of working with Claude Code and whether his impressions could be trusted.
Crisis of Trust: Why Multi-Agent AI Systems Break Down in Practice
Multi-agent systems look impressive in demo recordings, but their unpredictability in real-world tasks remains the main barrier to widespread adoption in industry.
Semantic computer with 64 neurons: AI revolution without powerful GPUs
An enthusiast developed a unique system based on 64 neurons that learns from noise and uses Lev Vygotsky's ideas to create compositional thinking without powerful GPUs.
From MVP to a real business: how to scale a RAG system for experts
The development team shares its experience of moving from a simple LangChain prototype to a complex LangGraph architecture for an occupational safety expert. Addressing hallucination and scaling issues.
Analytics 2026: how artificial intelligence is changing the expert's role in business
By 2026, the role of the data analyst has undergone a fundamental transformation. Businesses no longer need just numbers and dashboards — they need deep interpretation and strategic decisions.
How to hack an AI agent’s “soul”: a critical vulnerability in OpenClaw
Researchers have discovered a way to intercept the intentions of autonomous agents through OpenClaw. The vulnerability allows attackers to gain access to company files and APIs.
Alarm in Silicon Valley: AI Leaders Expect a Fundamental Shift in 2026
While the world debates the capabilities of chatbots, industry insiders warn that an era of hundredfold productivity and recursive self-improvement in systems is beginning.
From chatbot to colleague: how to build an autonomous AI employee
From simple prompts to full autonomy. Learn how to turn an LLM into a full-fledged digital employee using OpenAI API to automate routine business tasks.
Anthropic launches Claude Cowork: first impressions of a $100 AI agent
We break down the capabilities of Anthropic’s new Claude Cowork agent mode. Is the $100 subscription worth it, and how well does the AI handle real developer tasks?