Agents & AI engineering for advanced learners
329 resources · page 10 of 11
Engineering fast, performant AI agents through fine-tuning (Decagon)
by Decagon
Decagon engineering post on using several fine-tuned smaller models to cut latency in customer-service agents.
DIPY
by DIPY project
DIPY documentation: Python library for diffusion MRI and 3D/4D neuroimaging processing.
Direct Preference Optimization
by Rafael Rafailov et al. (Stanford University)
arXiv paper (2023) introducing Direct Preference Optimization (DPO), preference training without a separate reward model.
DSPy docs: Optimization overview
by Stanford NLP
DSPy documentation on optimisers such as MIPRO and GEPA for tuning prompts and weights programmatically.
Effective harnesses for long-running agents
by Anthropic
Anthropic post on harnesses for agents that work across many sessions, using an initializer agent and incremental progress.
FINOS AI Governance Framework
by FINOS
FINOS AI Governance Framework: open-source controls for adopting AI in financial services, mapped to risks.
How we built our multi-agent research system (Anthropic)
by Anthropic
Anthropic post on how it built Claude's multi-agent Research system with an orchestrator and subagents.
Flower documentation
by Flower Labs
Flower documentation: open-source framework for federated learning, simulation and deployment.
Google Agent Development Kit
by Google
Google Agent Development Kit (ADK) documentation for building, evaluating and deploying multi-agent systems.
Harness design for long-running application development
by Anthropic
Anthropic post on harness design for agents that build applications over long runs.
How we contain Claude across products
by Anthropic
Anthropic engineering post describing the containment architecture used to isolate Claude across its products.
Intercom and Fin developer platform
by Intercom
Intercom developer platform: APIs, SDKs and integration guides for Intercom and its Fin AI agent.
JAX documentation
by Google (JAX)
JAX documentation: Python library for accelerator-oriented array computing with automatic differentiation, JIT compilation and sharding.
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.