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TechArticle

Oct 16, 20261 min read

  • 2026 Agentic Coding Trends Report
  • A practical guide to building agents
  • Context engineering: memory, compaction, and tool clearing
  • Function calling using LLMs
  • 生成式 AI 与开源重塑软件研发
  • GitHub’s internal playbook for building an AI-powered workforce
  • Model AI Governance Framework for Agentic AI
  • Technik für KI-unterstützte Software-Entwicklung

8 items under this folder.

  • Oct 16, 2026

    Technik für KI-unterstützte Software-Entwicklung

    • ai-assisted-development
    • llm
    • open-source
    • fine-tuning
  • Oct 16, 2026

    Model AI Governance Framework for Agentic AI

    • agents
    • governance
    • human-oversight
    • agent-safety
    • multi-agent
  • Oct 16, 2026

    GitHub’s internal playbook for building an AI-powered workforce

    • ai-adoption
    • organizational-change
    • developer-productivity
  • Oct 16, 2026

    生成式 AI 与开源重塑软件研发

    • ai-assisted-development
    • sdlc
    • software-architecture
    • coding-tools
  • Oct 16, 2026

    Function calling using LLMs

    • tool-use
    • agents
    • prompt-injection
    • mcp
  • Oct 16, 2026

    Context engineering: memory, compaction, and tool clearing

    • context-engineering
    • context-window
    • long-horizon-tasks
    • memory
  • Oct 16, 2026

    A practical guide to building agents

    • agents
    • agent-architecture
    • guardrails
    • orchestration
  • Oct 16, 2026

    2026 Agentic Coding Trends Report

    • agents
    • agentic-coding
    • multi-agent
    • human-oversight
    • productivity
    • agent-security

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  • GitHub