Guides

Curated articles and resources on agentic design, forward deployment engineering, ML/AI management, and prompt engineering best practices.

Agentic Design

Building Effective Agents

A comprehensive guide from Anthropic on building effective AI agents. Covers agent architectures, workflow patterns like prompt chaining and routing, and when to use autonomous agents vs. simpler workflows.

agentsarchitectureworkflows

AnthropicRead →

Agentic Design

LangGraph Multi-Agent Workflows

LangChain's guide to building multi-agent systems with LangGraph. Explores supervisor patterns, agent handoffs, and how to orchestrate complex workflows across multiple specialized agents.

langgraphmulti-agentorchestration

LangChainRead →

Agentic Design

Effective Harnesses for Long-Running Agents

Anthropic's research on building robust harnesses for agents that run autonomously for extended periods. Covers error recovery, checkpointing, tool management, and monitoring strategies.

agentsreliabilitymonitoring

AnthropicRead →

Agentic Design

How to Think About Agent Frameworks

A practical guide from LangChain on evaluating and choosing agent frameworks. Discusses the trade-offs between flexibility and ease-of-use, and when to build custom vs. using existing frameworks.

frameworksarchitectureevaluation

LangChainRead →

Forward Deployment

What Are Forward Deployed Engineers?

The Pragmatic Engineer breaks down the Forward Deployed Engineer role — what it is, where it originated, and how it differs from traditional SWE roles. Covers companies like Palantir, Databricks, and others pioneering this model.

FDEcareerengineering-roles

The Pragmatic EngineerRead →

Forward Deployment

Forward Deployed Engineers

Silicon Valley Product Group explores how forward deployed engineers bridge the gap between product development and customer success, bringing engineering talent directly to where problems need solving.

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SVPGRead →

Forward Deployment

Day in the Life of a Palantir FDSE

An inside look at what Forward Deployed Software Engineers do at Palantir — from on-site client work to building custom integrations, and how they operate at the intersection of engineering and consulting.

PalantirFDSEday-in-life

PalantirRead →

Forward Deployment

FDE: Building Enterprise LLM Applications

How the FDE model applies to deploying large language models in enterprise environments. Covers the unique challenges of LLM deployment, from prompt engineering at scale to building custom RAG pipelines.

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ZenMLRead →

ML/AI Management

Practitioners Guide to MLOps

Google Cloud's comprehensive whitepaper on MLOps practices. Covers the full ML lifecycle from data management through model deployment and monitoring, with practical patterns for production ML systems.

MLOpsGoogle Cloudbest-practices

Google CloudRead →

ML/AI Management

MLOps: Continuous Delivery for ML

Google Cloud's guide to continuous delivery and automation pipelines in machine learning. Describes MLOps maturity levels from manual processes to fully automated CI/CD/CT pipelines.

MLOpsCI/CDautomation

Google CloudRead →

ML/AI Management

MLOps Principles

A community-driven resource on MLOps principles and best practices. Covers the core tenets of operationalizing ML — reproducibility, versioning, testing, monitoring, and continuous training.

MLOpsprinciplescommunity

ml-ops.orgRead →

ML/AI Management

MLflow: An Open Platform for the ML Lifecycle

Overview of MLflow as an open-source platform for managing the end-to-end machine learning lifecycle. Covers experiment tracking, model registry, deployment, and integration with major ML frameworks.

MLflowexperiment-trackingopen-source

Linux FoundationRead →

Claude

Prompt Engineering Interactive Tutorial

Anthropic's official hands-on course covering structured, iterative prompt design — from role assignment and XML tags to chain-of-thought reasoning and few-shot examples. Includes runnable Jupyter notebooks.

prompt-engineeringtutorialhands-on

AnthropicRead →

Claude

Anthropic Prompt Library

A curated collection of optimized prompts for common tasks — summarization, analysis, coding, creative writing, and more. Ready-to-use templates designed for Claude's strengths.

prompt-librarytemplatesready-to-use

AnthropicRead →

OpenAI

Prompt Engineering Guide

OpenAI's canonical reference for prompting. Covers six core strategies: write clear instructions, provide reference text, split complex tasks, give the model time to think, use external tools, and test changes systematically.

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OpenAIRead →

OpenAI

ChatGPT Prompt Best Practices

Practical tips for everyday ChatGPT usage: being specific, providing context, using system instructions, iterating on prompts, and getting consistent output formatting.

ChatGPTbest-practicestips

OpenAIRead →

Google

Prompt Engineering Whitepaper

A 68-page whitepaper widely considered the most structured guide to LLM prompting. Covers zero-shot, few-shot, chain-of-thought, self-consistency, step-back prompting, and meta-prompting with copy-pasteable examples.

whitepapertechniquescomprehensive

Google / KaggleRead →

General Prompting

Prompt Engineering Guide

The most comprehensive community-driven prompt engineering resource with over 3 million learners. Covers every major technique — CoT, few-shot, ReAct, Tree of Thoughts, RAG — with theory, examples, and research references. Available in 13 languages.

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DAIR.AIRead →

General Prompting

Awesome Prompt Engineering

A curated meta-repository of prompt engineering resources: papers, tools, APIs, datasets, blog posts, and tutorials. A one-stop index for going deep on specific techniques or finding original research.

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promptslabRead →

General Prompting

Awesome AI System Prompts

A curated collection of real-world system prompts extracted from production AI tools including ChatGPT, Cursor, Devin, v0, Perplexity, and more. Study how top AI products structure their system prompts and define tool use.

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CommunityRead →