#engineering collaboration
2548 related articles
Tutorials·3 min
NVIDIA Nemotron Labs Open Source Contribution Guide: A Complete Playbook for Developers Joining AI Open Source Projects
A comprehensive guide to contributing to NVIDIA Nemotron Labs open source projects, covering NeMo framework contributions, community participation, and career benefits for AI developers.
Read more →
Tech Frontiers·3 min
Inside the SJSU Hackathon Winning Projects: A Practical Guide to Building High-Impact AI Agents
Deep analysis of SJSU hackathon-winning AI Agent projects covering architecture design, core elements, and UX optimization—a practical guide from prototype to product.
Read more →
Tech Frontiers·3 min
AT&T, T-Mobile, and Verizon Form Joint Venture for Spectrum Sharing: The Countdown to Eliminating Rural Dead Zones
AT&T, T-Mobile, and Verizon announce a joint venture to eliminate rural wireless dead zones through spectrum sharing. Analysis of the plan, technology, antitrust risks, and impact on 24 million rural users.
Read more →
Product Reviews·4 min
Motorola Razr Fold Review: Battery Life Crushes Foldable Rivals, So Why Is It Still Hard to Recommend?
In-depth review of Motorola's first book-style foldable, the Razr Fold. Battery life rivals slab flagships, yet reviewers call it "stuck in the middle." Full analysis of its strengths, software gaps, and 2025 foldable market competition.
Read more →
Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
Read more →
Deep Dives·4 min
The Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
Read more →
Deep Dives·3 min
Claude Code Source Code Leak Revealed: Seven Core Mechanisms of the Harness Architecture Explained
Deep analysis of the Claude Code source code leak, revealing seven core mechanisms of its Harness architecture including context management, tool call orchestration, and state tracking for AI Agent developers.
Read more →
Deep Dives·3 min
Hermes Agent Deep Dive: Five-Layer Memory Architecture and Self-Evolution Mechanism Fully Explained
A deep dive into Huawei's open-source Hermes Agent framework: five-layer memory architecture, self-evolution loop, multi-agent collaboration, and comparison with Open Manus.
Read more →
Expert Opinions·4 min
Interview with a Core Developer of Microsoft's Agent Framework: A Complete Analysis of Architecture Design and Evolution
In-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
Read more →
Tutorials·2 min
AI Canvas Agent Is Here: How to Use Node-Based Creative Workflows
A deep dive into AI canvas node-based creative workflows, covering AI image generation, video generation, 4K output, and multi-model orchestration for visual AI content creation.
Read more →
Research·3 min
MEMOIR: Solving AI Agent Memory Management with Git Version Control
MEMOIR is an open-source tool bringing Git version control to AI Agent memory management, with branching, rollback, semantic paths, and visualization to solve context pollution and memory drift.
Read more →
Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
Read more →
Deep Dives·3 min
Deep Dive into ByteDance's Hermes Agent Orange Book: A 198-Page Complete Guide to AI Agent Development
Deep dive into ByteDance's Hermes Agent Orange Book covering self-evolution loops, three-layer memory systems, Skill ecosystems, and multi-Agent collaboration — a complete 198-page technical guide.
Read more →
Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
Read more →
Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
Read more →
Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
Read more →
Industry Insights·2 min
Uber's AI Agent Platform Now Contributes 11% of PRs — The Engineering Role Is Transforming
Uber reveals its internal Agentic Developer Platform now generates 11% of all PRs. Learn how Uber moved from AI-assisted to AI-autonomous coding and how engineering roles are transforming.
Read more →
Tech Frontiers·2 min
GitHub Copilot Cloud Agents Now Support Fully Configured Development Environments
GitHub Copilot Cloud Agents now support fully configured dev environments with repo cloning, dependency installation, and toolchain credentials—evolving AI from code completion to autonomous development.
Read more →
Deep Dives·4 min
From AIGC to AI Agent: Core Strategies and Practical Guide for Multi-Agent Development in 2025
Deep analysis of AIGC vs AI Agent differences, covering multi-agent system architecture, task orchestration, hallucination control, with developer skill roadmap and career outlook.
Read more →
Expert Opinions·2 min
The Abuse of the AI Agent Concept: Why "11 AI Agents" Is Meaningless
When companies claim "11 AI Agents," what does that number mean? This article dissects the vague definitions, quantity marketing, and Agent Washing plaguing the AI industry.
Read more →