Agents & AI engineering

Agents & AI engineering

• agent skills & protocols (74)
• agent-readable web standards (18)
• coding agents (127)
• connectors & integrations (173)
• frameworks & SDKs (109)
• harness & fleet engineering (14)
• observability (5)
• prompt & context engineering (14)
• training & fine-tuning (16)

550 resources · page 18 of 18

• EASA AI Concept Paper Issue 2

  by European Union Aviation Safety Agency (EASA)

  EASA AI Concept Paper Issue 2: guidance on assuring Level 1 and 2 machine-learning applications in aviation.

  Expert learning_resource guide European Union en

• Context Engineering for AI Agents: Lessons from Building Manus

  by Manus

  Manus post on context engineering lessons: designing around the KV cache, masking tools and using the filesystem as memory.

  Expert learning_resource guide China/Singapore en

• Model Context Protocol Specification 2025-06-18

  by Model Context Protocol

  MCP specification version 2025-06-18, covering authorisation, elicitation and structured tool output.

  Expert learning_resource docs US en

• OpenTelemetry generative AI semantic conventions

  by OpenTelemetry

  OpenTelemetry page on generative AI semantic conventions for LLM and agent telemetry, now moved to a dedicated repository.

  Expert learning_resource docs Global en

• SpikingJelly

  by SpikingJelly team (Peking University)

  SpikingJelly documentation (in Chinese): PyTorch framework for deep learning with spiking neural networks.

  Expert learning_resource docs China en

• Tülu 3

  by Nathan Lambert et al. (Ai2)

  arXiv paper (2024) describing Tülu 3, a fully open post-training recipe that introduced RLVR.

  Expert learning_resource paper US en

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