#Compose adoption
297 related articles
·2 min
Google Rebuilds the Play Store with Jetpack Compose: A Trial-by-Fire Technical Gamble
Google chose the Play Store — the world's most-installed app — as the first large-scale Jetpack Compose deployment, a high-stakes trial by fire across billions of devices.
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·3 min
Harness Multi-Agent Framework: A Deep Dive into Planner→Builder→Evaluator Three-Agent Collaboration
Deep dive into the Harness multi-agent framework's three-agent paradigm (Planner, Builder, Evaluator), covering Agent Loop design, circular invocation prevention, Sandbox isolation, and A2A vs SubAgent selection strategies.
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·3 min
Getting Started with Agent Skills: A Complete Guide from Prompts to Intelligent Skills
Deep dive into AI Agent Skills' four components (skill.md, references, scripts, assets), explaining how Skills differ from prompts and how to build reusable intelligent skill systems.
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·4 min
A Beginner's Guide to AI Economics Research: A Systematic Roadmap for Economics PhD Students
How should economics PhD students systematically enter the vast field of AI economics? This guide maps four research threads, literature methods, and technical priorities for building expertise.
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·2 min
Warren: Isolated Runtime Infrastructure Built for AI Coding Agents
Warren is an open-source infrastructure project providing isolated workspaces, resource limits, real-time observability, and Git delivery for AI coding agents running securely in your own environment.
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·3 min
Building an AI Learning Community from Scratch: A Practical Guide to Interdisciplinary Open Collaboration
A practical guide to building an interdisciplinary AI learning community that integrates ML, DL, math, and physics through open collaboration models.
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·2 min
Gemini 3.7 Flash Deep Dive: Major Upgrades in Coding, Debugging, and Agent Capabilities
Deep dive into Google Gemini 3.7 Flash: enhanced coding and debugging, more stable multi-step agent execution, and high-fidelity design-to-code generation for developers.
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·6 min
Flask Creator's Conversation: Why We Need to Slow Down in the AI Coding Era
Flask creator Armin Ronacher and minimalist Agent Pi's author Mario Zechner discuss AI coding limitations, code quality decline, MCP vs CLI, and why engineers need to slow down.
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·4 min
Top 10 Hottest AI Skills in the Programming World: From Methodologies to Workflows Fully Explained
In-depth review of the 10 hottest AI Skills in programming, covering Super Powers, MCP Builder, Composio and more—how Skills enable structured workflows, automated testing, and external connections.
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·4 min
Software Engineering in the Agentic Era: The Development Paradigm Is Being Fundamentally Reshaped
An in-depth analysis of how AI agents are reshaping software engineering paradigms—from code completion to autonomous execution—covering agentic workflows, productivity shifts, reliability challenges, and the evolving role of engineers.
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·4 min
Harness Engineering: A New Paradigm for Multi-Agent Architecture Explained
Deep dive into Harness Engineering's seven core capabilities including tool calling, memory, planning, execution loops, and sandbox security. Learn the evolution from Prompt Engineering to Context Engineering to Harness Engineering.
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·4 min
What Is an AI Agent? A Complete Guide to Core Architecture and Enterprise Implementation Challenges
A deep dive into AI Agent concepts, LLM-based architecture (perception, brain, action), four core components and their maturity levels, plus the key differences between chatbots, AI assistants, and agents.
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·2 min
OpenHuman: Building a Local-First Personal AI Super Brain with Rust
OpenHuman is an open-source personal AI project built with Rust, featuring local-first memory architecture, multi-agent orchestration, and deep research capabilities. With over 36,500 GitHub stars, it aims to return AI power to individuals while keeping data local.
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·2 min
n8n Beginner's Guide: A Complete Guide to Building AI Automation Workflows
A comprehensive guide to n8n, the low-code workflow automation platform. Learn about AI Agents, Chain nodes, and Tool nodes to build intelligent automation workflows.
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·3 min
DeepSeek Harness Explained: An Agent Runtime Where Everything Is a Plugin
Deep dive into DeepSeek Harness (DSH): its Agent=Model+Harness formula, Cordis plugin system, four runtime modes, and Trajectory traceability for modular Agent development.
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·2 min
Anthropic Open-Sources Agent Skills: A New Era of Modular and Reusable AI Agent Capabilities
Anthropic open-sourced anthropics/skills on GitHub, offering standardized, pluggable AI Agent skill packages. With 160K+ stars, it enables modular agent capability reuse and lowers development barriers.
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·3 min
Agent Office: A Deep Dive into the Slack-like Collaboration Platform for AI Agents
Deep analysis of Agent Office, a Slack-like collaboration platform for AI agents, covering multi-agent communication protocols, state management, cost control, and industry trends.
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·5 min
The $60 Billion Cursor Acquisition: Birth and Deep Dive into the AI Programming Operating System
SpaceX acquires Cursor for $60B. How did this AI coding tool evolve from a VS Code fork into a software development operating system? Deep analysis of Agent orchestration, Origin hosting, and model strategy.
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·3 min
What Are Agent Skills? A Comprehensive Guide to the AI Agent Development Architecture Paradigm
Deep dive into Agent Skills architecture for AI agents, covering Skill framework definitions, MCP protocol, multi-agent collaboration, and practical applications for building enterprise-grade Agent systems.
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·3 min
Tencent Open-Sources AI-Infra-Guard: A Deep Dive into the Full-Stack AI Red Teaming Platform
Deep dive into Tencent's open-source AI-Infra-Guard full-stack AI red teaming platform, covering Agent scanning, MCP protocol scanning, LLM jailbreak evaluation, and more.
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