Agents & AI engineering for advanced learners
220 resources · page 7 of 7
Kimi K2.5: Visual Agentic Intelligence
arXiv paper (2026) Kimi K2.5 technical report on visual agentic intelligence.
Kimi K2: Open Agentic Intelligence
arXiv paper (2025) Kimi K2 technical report: MuonClip optimizer and agentic post-training.
Context Engineering with Deep Agents (LangChain)
by LangChain
LangChain post on context engineering in Deep Agents using offloading, summarisation, skills, subagents and memory.
LlamaIndex blog
by LlamaIndex
LlamaIndex blog with posts on document agents, retrieval, LlamaParse and agent engineering patterns.
Long Horizon Document Agents (LlamaIndex)
by LlamaIndex
LlamaIndex post on designing long-horizon agents that process and act on documents.
LoRA
by Edward J. Hu et al. (Microsoft)
arXiv paper (2021) "LoRA: Low-Rank Adaptation of Large Language Models", introducing LoRA, low-rank adaptation for fine-tuning large models.
MAPIE
by MAPIE project (Capgemini Invent and Quantmetry)
MAPIE documentation: Python library for conformal prediction intervals and sets for any model.
MCP blog: The 2026-07-28 Specification
MCP blog post on the 2026-07-28 specification release, summarising protocol changes and the deprecation policy.
Metaflow documentation
by Metaflow project (Outerbounds)
Metaflow documentation: open-source framework from Netflix for building and running data science and ML workflows.
Nanbeige 4.2-3B official model card
Hugging Face model card for Nanbeige4.2-3B with architecture, usage and evaluation details.
NAVER D2
by NAVER
NAVER D2 Hello World: Korean engineering blog from NAVER developers.
Notion Help: Guides
by Notion
Notion Help Center guides to workflows, integrations and features.
OpenAI API Skills guide
by OpenAI
OpenAI API skills guide: creating reusable skills for Responses API shell tools and Agents API sandboxes.
PennyLane documentation
PennyLane documentation: Python library for differentiable quantum computing and hybrid quantum-classical ML.
PyGOD
by PyGOD team
PyGOD documentation: Python library for outlier and anomaly detection on graphs.
ReAct
by Shunyu Yao et al. (Princeton University and Google Research)
arXiv paper (2022) "ReAct: Synergizing Reasoning and Acting in Language Models", introducing ReAct, interleaving reasoning traces and tool actions in language models.
Refactoring Hermes with 1,393 agents
Nous Research case study of Hermes Agent refactoring its own codebase with 1,393 subagents, with cost and results.
Roo Code docs: Context poisoning
by Roomote
Roo Code documentation on context poisoning: recognising and recovering from corrupted context in long agent sessions.
Scaling Managed Agents: decoupling brain from hands
by Anthropic
Anthropic engineering post on the architecture of its hosted Managed Agents harness, separating model reasoning from execution.
SHAP documentation
SHAP documentation: game-theoretic method and library for explaining ML model predictions.
Building production-ready agentic systems: Lessons from Shopify Sidekick
by Shopify
Shopify Engineering post on lessons from building the Sidekick agent: architecture, LLM judges calibrated to human labels and RL pitfalls.
Durable AI (Temporal Documentation)
Temporal documentation on durable execution for AI applications and agents that resume after crashes or timeouts.
Texterra
by Ivannikov Institute for System Programming (ISP RAS)
Texterra from ISP RAS: Russian text-analysis system for information extraction built on open structured knowledge.
Training language models to follow instructions with human feedback
by Long Ouyang et al. (OpenAI)
arXiv paper (2022) "Training language models to follow instructions with human feedback", describing InstructGPT and the RLHF post-training pipeline.
TRL documentation
by Hugging Face
Hugging Face TRL documentation: trainers for SFT, DPO, GRPO and other post-training methods.
Universal Commerce Protocol (UCP)
by Universal Commerce Protocol project
Universal Commerce Protocol site: open standard for agents and platforms covering catalogue, checkout and orders.
AI SDK docs: Loop control
by Vercel
Vercel AI SDK documentation on loop control: stop conditions and step control for agent loops.
How we made v0 an effective coding agent (Vercel)
by Vercel
Vercel engineering post on v0's coding-agent pipeline: dynamic system prompts, streaming fixes and autofixers.