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Build an Agent with Nanobot, Lighter Replacement for OpenClaw

Virtual assistants in business are changing fast. Massive enterprise systems like OpenClaw pack hundreds of thousands of lines of code, but nanobot challenges the idea that bigger automatically means better. With just 4000 lines of Python, it delivers core AI assistant capabilities in a lightweight, focused package while cutting codebase size by about 99% without […]

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Claude Opus 4.6 vs OpenAI Codex 5.3: Which is Better?

The rivalry between Anthropic and OpenAI has intensified, from competing Super Bowl ads to launching new coding models on the same day. Anthropic’s Claude Opus 4.6 and OpenAI’s Codex 5.3 are now live. Both show strong benchmarks, but which one truly stands out? I’ll put them to the test and compare their performance on the

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Build an AI Study Assistant with Claude Code + Android Studio

Imagine building a full Android app that generates AI questions, runs on a real backend, and uses a database without writing a single line of code. Claude Code, Anthropic’s terminal-based assistant, makes it possible to ship a working product from one clear prompt. This tutorial shows how to create an AI Study Assistant that ingests

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How to Build an OpenClaw Agent in Less Than 10 Minutes

OpenClaw is everywhere right now. People are talking about the platform and the kinds of agents you can build with it. But what is all this hype really about? Most AI assistants still stop at conversation. They answer questions, forget context, and never actually take action. OpenClaw agents change that. Instead of living inside a

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I Tested Clawdbot and Built My Own Local AI Agent

Most AI assistants still stop at conversation. They answer questions, forget everything afterward, and never actually do anything for you. Clawdbot changes that. Instead of living inside a chat window, Clawdbot runs on your own machine, stays online, remembers past interactions, and executes real tasks. It connects directly to messaging platforms like WhatsApp and Telegram,

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Is Kimi K2.5 the BEST Open-source Model of 2026?

My favourite open-source AI model just got a major upgrade..Kimi K2.5 is here! LLMs excel at answering questions and writing code, but real work spans messy documents, images, incomplete data, and long decision chains. Most AI systems still struggle in these environments. Moonshot AI built Kimi K2.5 to close this gap by bringing multimodal, agentic intelligence to

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Building Intelligent iOS Apps with Apple’s Foundation Models Framework 

The iOS development world has undergone a radical change. Only a few years back, implementing AI functionalities required costly cloud APIs or, at best, on-device processing with limited capabilities. The introduction of Apple’s Foundation Models framework heralds the availability of a 3 billion parameter language model for developers who prefer on-device processing, and it is

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How UX Research Methods Reveal Hidden AI Orchestration Failures in Enterprise Collaboration Agents

I have spent the last several years watching enterprise collaboration tools get smarter. Join a video call today, and there’s a good chance five or six AI agents are running simultaneously: transcription, speaker identification, captions, summarization, task extraction. On the product side of it, each agent gets evaluated in isolation. Separate dashboards, separate metrics. Transcription

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GLM-4.7 Flash: The AI Powerhouse Built for Developers 

The future of artificial intelligence is here and to the developers, it is in the form of new tools that transform the way we code, create and solve problems. GLM-4.7 Flash, an open-source large language model by Zhipu AI, is the latest big entrant but not simply another version. This model brings great power and

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How to Use Gemini 3 Pro in CLI?

AI-based coding agents are changing developer workflows. Proof – the arrival of Gemini 3 Pro in the Gemini CLI. It shows a significant advancement. For instance, it provides advanced reasoning, enhanced tool usage, and natural-language coding right in the terminal. Developers will be able to generate, fix, and refactor code without needing to break their flow by

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