#AI development process
6234 related articles
Tech Frontiers·3 min
AI Daily: IBM Open-Sources Granite 4.0 Hybrid Architecture, Google Launches Jules Command-Line Tool
Oct 3, 2025 AI Daily: IBM releases Granite 4.0 hybrid architecture open-source models, Google launches Jules CLI and Gemini 2.5 Flash Image GA, Ant Group open-sources Ming UniVision, OpenAI hits $500B valuation.
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Product Reviews·2 min
Cursor Web and Mobile Launch: Hands-On with Cloud AI Coding Agents
Cursor launches web and mobile versions supporting multi-agent parallel execution and mobile code review. A detailed look at core features, comparison with Google Jules and OpenAI Codex, and the PWA mobile experience.
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Deep Dives·3 min
Claude Sub-agents vs Agent Teams: How to Choose Between Two AI Multi-Agent Collaboration Patterns
Deep comparison of Claude sub-agents vs agent teams: architecture differences, use cases, and real-world results. A Pokémon RPG case study shows how agent teams achieve 95%+ feature completeness.
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Tech Frontiers·2 min
Anthropic's Inaugural Compile Conference: Focusing on the Future of Software Development in the AI Era
Anthropic will host its inaugural Compile conference on June 16, 2025 in San Francisco, bringing together engineers, researchers, and builders to explore how AI is reshaping software development.
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Tutorials·3 min
Harness Engineering: A Practical Guide to AI Development — From Prompts to Mastering AI Agents
A deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.
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Tutorials·3 min
Godot MCP + Codex in Practice: Using AI to Auto-Generate an Endless Runner Game
Learn how to integrate Godot MCP with OpenAI Codex to control the game engine via natural language, with a full walkthrough from setup to auto-generating an endless runner scene.
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Tutorials·2 min
Complete Breakdown of Andrew Ng's LangChain Course: Five Core Components and Hands-On Guide
Deep dive into Andrew Ng and Harrison Chase's LangChain course, covering the five core components—Models, Prompts, Indexes, Chains, and Agents—to help developers master LLM app development.
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Tutorials·2 min
Getting Started with Coze: A Complete Guide to Building AI Agents from Scratch
A detailed guide to Coze platform's core features, including the differences between AI agents and AI applications, plus a beginner's learning path for building AI agents with no-code tools.
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Industry Insights·2 min
Microsoft Bans Claude Code: The Triple Crisis of Cost Black Holes, Product Inferiority, and Ecosystem Loss
Microsoft bans Claude Code internally, forcing engineers to GitHub Copilot CLI. Analysis of the cost crisis, product gap, and AI ecosystem control battle reshaping the industry.
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Tutorials·2 min
Coze Beginner's Guide: A Complete Tutorial for Building AI Agents with Zero Code
A detailed guide to Coze AI development platform's core features including agent building, workflow orchestration, knowledge base setup, and plugins — build custom AI apps with zero code.
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Tech Frontiers·3 min
Google Introduces AI Assistant in Job Interviews, OpenAI Launches Cybersecurity-Specific Model GPT-5.5 Cyber
Google introduces Gemini AI assistant in hiring to assess AI proficiency, OpenAI launches GPT-5.5 Cyber for critical infrastructure defense, Anthropic nears trillion-dollar valuation, Mozilla fixes 271 Firefox bugs with AI in two months.
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Tutorials·3 min
LangGraph + MCP: A Practical Guide to Building Enterprise-Grade ChatBI Data Analysis Agents
Learn how to build a ChatBI data analysis Agent from scratch using LangGraph + multi-MCP architecture, covering centralized-to-decentralized evolution, NL2SQL, agent orchestration, and enterprise deployment.
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Tech Frontiers·3 min
Anthropic Open-Sources Financial Agent Suite: 10 Agents Covering the Full Investment Banking Workflow
Anthropic open-sources a financial Agent suite with 10 specialized Agents covering Pitchbook creation, earnings analysis, and valuation modeling, integrating 11 data sources via MCP protocol under Apache 2.0 license.
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Tutorials·2 min
npcpy: An Open-Source Framework That Rethinks AI Agent Development with Software Engineering Principles
Deep dive into npcpy's four-layer architecture, multi-agent collaboration, knowledge graph lifecycle management, and deployment strategies for building stable, controllable AI Agent systems.
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Product Reviews·2 min
Cursor vs Windsurf vs PearAI: An In-Depth Comparison of AI Code Editors
Hands-on comparison of Cursor, Windsurf, and PearAI across UI design, UX, AI coding ability, and extra features to help you pick the best AI code editor.
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Deep Dives·3 min
From Copilot to Agentic AI: Understanding AI's Evolution Through Four Stages
A systematic breakdown of AI's four-stage evolution from Chat Mode to Agentic AI, covering multi-agent architectures, ReAct framework, and MCP protocol.
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Tutorials·3 min
MCP Protocol Explained: The New Agent Communication Standard Replacing Function Calling
Deep dive into MCP (Model Context Protocol): its core concepts, three communication mechanisms, and ecosystem. Learn how MCP replaces Function Calling with Streamable HTTP and SDK 2.0.
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Tutorials·2 min
LangGraph vs LangChain: How to Choose Your Agent Development Framework
In-depth comparison of LangGraph vs LangChain: controllability, extensibility, and FastAPI-powered performance. Covers storage, enterprise private deployment, and migration guidance for agent developers.
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Industry Insights·2 min
Devin's Client List Revealed: Why Goldman Sachs, the U.S. Military, and Mercedes-Benz Are Choosing Autonomous AI Programming
Cognition's AI programming tool Devin reveals major clients including Goldman Sachs, U.S. military, and Mercedes-Benz. Analysis of three key signals marking the commercialization tipping point for enterprise AI programming.
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Tech Frontiers·2 min
AI Weekly: Kimi K2.6 Tops Open-Source Rankings, Qwen 3.6 and Google TTS Launch Together
Weekly AI roundup: Kimi K2.6 tops open-source rankings, Anthropic launches Opus 4.7 and Claude Design, Alibaba rolls out Qwen 3.6 series, Google releases emotion-controllable TTS model.
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