Resources for product managers

Results

• Lenny’s Newsletter(opens in a new tab)

  lennysnewsletter.com

  The reference newsletter and podcast for PMs: growth, pricing, careers, interviews.

  Product management

• SVPG (Marty Cagan)(opens in a new tab)

  svpg.com

  Marty Cagan on empowered product teams, discovery and the PM role.

  Product management

• Product Talk (Teresa Torres)(opens in a new tab)

  producttalk.org

  Continuous discovery, opportunity solution trees and regular customer interviews.

  Product managementUX & user research

• Mind the Product(opens in a new tab)

  mindtheproduct.com

  International product community: articles, conferences and case studies.

  Product management

• Shape Up (Basecamp)(opens in a new tab)

  basecamp.com/shapeup

  Free book on shaping projects into 6-week cycles, without an endless backlog.

  Product management

• Documentation Claude (Anthropic)(opens in a new tab)

  docs.anthropic.com

  Official guides: prompting, tool use, structured outputs, prompt caching, evaluation.

  AI product: docs & guides

• ponytail(opens in a new tab)

  DietrichGebert

  "Lazy senior dev" mode for coding agents: the simplest solution that works, no needless abstraction.

  Install

  /plugin marketplace add DietrichGebert/ponytail

  Related courses

  • Work with Claude Code on a real project: context, planning, review
  • Build reliable Claude Skills for your product work

  MIT licenseSkills & plugins for AI agents

• ui-ux-pro-max-skill(opens in a new tab)

  nextlevelbuilder

  UI/UX design skill: styles, palettes, typography and rules for professional AI-built interfaces.

  Install

  /plugin marketplace add nextlevelbuilder/ui-ux-pro-max-skill

  Related courses

  • Design and validate a product experience with AI
  • Build and ship a web app with an AI coding agent

  MIT licenseSkills & plugins for AI agents

• graphify(opens in a new tab)

  Graphify-Labs

  Turns a codebase, its docs, SQL schemas and PDFs into a knowledge graph an agent can query.

  Install

  pip install graphifyy

  Related courses

  • Read and challenge a technical architecture
  • Work with Claude Code on a real project: context, planning, review

  Apache-2.0 licenseSkills & plugins for AI agents

• caveman(opens in a new tab)

  JuliusBrussee

  Makes the agent answer in telegraphic style to cut token usage sharply without losing substance.

  Install

  npx skills add JuliusBrussee/caveman -g

  Related courses

  • Work with Claude Code on a real project: context, planning, review

  Apache-2.0 licenseSkills & plugins for AI agents

• agent-skills(opens in a new tab)

  addyosmani

  25 engineering skills by Addy Osmani: code review, specs, testing, performance, requirements interviews.

  Install

  npx skills add addyosmani/agent-skills

  Related courses

  • Write specs that developers and AI agents understand
  • Work with Claude Code on a real project: context, planning, review

  MIT licenseSkills & plugins for AI agents

• taste-skill(opens in a new tab)

  Leonxlnx

  Gives AI good taste in front-end design: avoids generic UIs and enforces deliberate visual choices.

  Install

  npx skills add https://github.com/Leonxlnx/taste-skill

  Related courses

  • Design and validate a product experience with AI

  MIT licenseSkills & plugins for AI agents

• RAG (retrieval-augmented generation)

  Definition

  Retrieval-augmented generation (RAG) is an architecture where an application first searches a document collection for the excerpts that best match a question, then sends those passages to a large language model along with the question.

  Read the definition

  AI

• LLM hallucination

  Definition

  An LLM hallucination is an output that sounds plausible but is false, unsupported or invented: a citation that does not exist, a wrong figure, a feature the company never shipped.

  Read the definition

  AI

• Prompt engineering

  Definition

  Prompt engineering is the practice of writing and refining the instructions given to a large language model so that it produces the output you need, reliably.

  Read the definition

  AI

• AI agent

  Definition

  An AI agent is a system in which a language model decides, step by step, which actions to take to reach a goal: it calls tools, reads the results, then chooses the next action until it judges the task done or hits a limit.

  Read the definition

  AI

• Tool calling (function calling)

  Definition

  Tool calling, also called function calling, lets a language model request an action from the application around it.

  Read the definition

  AI

• MCP (Model Context Protocol)

  Definition

  Introduced by Anthropic in November 2024, MCP (Model Context Protocol) is an open specification that defines how AI applications connect to external tools and data sources.

  Read the definition

  AI

• Documentation OpenAI(opens in a new tab)

  platform.openai.com/docs

  OpenAI API reference: models, function calling, structured outputs, embeddings.

  AI product: docs & guides

• Model Context Protocol(opens in a new tab)

  modelcontextprotocol.io

  MCP specification and guides to connect an AI assistant to your tools and data.

  AI product: docs & guides

• Hugging Face(opens in a new tab)

  huggingface.co

  Open models, datasets and demos, with free LLM courses.

  AI product: docs & guides

• Hamel Husain(opens in a new tab)

  hamel.dev

  Practical writing on evaluating AI products: error analysis, LLM judges, test sets.

  AI product: docs & guides

• Eugene Yan(opens in a new tab)

  eugeneyan.com

  Patterns for production LLM systems: RAG, evals, guardrails, feedback.

  AI product: docs & guides

• Chip Huyen(opens in a new tab)

  huyenchip.com

  AI application and agent engineering, clearly explained by the author of AI Engineering.

  AI product: docs & guides