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Explore the paradigm shift from prompt engineering to loop architecture in AI programming. Learn about Anthropic's Routines, the six elements of mature coding loops, and token cost strategies.

Deep dive into Nexent's open-source platform for zero-code production-grade AI Agent generation, covering Harness Engineering, built-in controls, use cases, and comparisons with AutoGen and CrewAI.

Deep dive into Boris Cherny's AI agent loop patterns: loop workflow elements, loop contracts, four practical loops (PR Babysitter, CI Health, Deploy Verification, Feedback Clustering), and failure prevention strategies.

In-depth analysis of LangChain's open-source social-media-agent: content sourcing, AI curation, scheduled publishing, Human-in-the-Loop design, and LangGraph architecture.

OpenAI engineer Ryan Lopopolo shares 9 months of pure AI agent coding practice, revealing core methodologies including prompt engineering, automated code review, and skill design in the new paradigm where code is free.

A deep dive into the core competency matrix for AI Agent development, covering task planning, tool orchestration, and memory management with practical guidance from learning to production.

Deep dive into R8 Full Mode optimization principles and setup, plus Google's new R8 Configuration Analyzer tool to help Android developers reduce APK size and boost runtime performance.

OpenAI engineer Ryan Lopopolo introduces Harness Engineering — a methodology where humans build constraint systems and AI agents handle all code implementation.

GitHub Universe returns Oct 28-29, 2026 at Fort Mason Center, San Francisco, themed around the Agentic Era. From Copilot to AI Agents, GitHub leads software development into autonomous intelligence.

Deep dive into OpenAI Codex's core capabilities and real-world applications, covering automated coding, compliance reviews, and security detection — revealing how AI coding agents boost team efficiency by 50%.

A comprehensive guide to AI Agent full-stack development covering LangChain, LangGraph, MCP protocol, and LLM deployment, with a hands-on Vue3 project demo showcasing the perception-decision-action loop.

Deep dive into coding Agent feedback loops: how AI tools turn errors and test failures into correction signals. Covers context management, root cause analysis, death loop avoidance, and more.

Deep dive into how API aggregation platforms use a single BaseURL to access Claude, OpenAI, Gemini and all major AI models, covering intelligent routing, fault tolerance, team collaboration, and cost management.

Enterprise AI spending is out of control. Model routing emerges as the solution—from Cisco's token economics to Cognition's productivity guarantee, learn how intelligent routing cuts AI costs by 95%.

Cosmos Unified Agents Platform gives its first live demo, detailing its design philosophy and cloud agent operations. Learn how it solves AI Agent fragmentation with unified multi-agent building, deployment, and management.

Learn how to use Eflow Base as middleware to fully trace Claude Code's tool calls, token consumption, and system prompt assembly for complete AI Agent observability.

A deep dive into engineering methodology for enterprise e-commerce development with Claude Code and Harness AI, covering architecture, code quality, and CI/CD practices.

A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.

A detailed guide to the Claude Code and Codex collaborative workflow: Claude Code handles architecture planning and code review, while Codex handles execution. Boost dev efficiency through standardized handoffs.

Deep dive into Claude Code's 7 core modules: project integration, agent construction, multi-agent collaboration, plugin systems, and workflow automation, with learning tips and certification trends.