A curated list for product managers.

The job of "PM" is being rewritten in real time. This list is for PMs who want to ship faster with AI, think clearly about AI product strategy, and stay current as the practice forms.

AI-native or AI-augmented tools PMs actually use day to day.

• — Long-context LLM for spec writing, research, and doc analysis.
• — Multi-document Q&A across an uploaded corpus.
• — Cited-source AI search for market and competitive research.

• — Terminal agent for code-level PM artifacts.
• — AI-first IDE for prototyping and reading codebases.
• — Generates UI and full apps from text prompts.

• — Formula-driven AI docs for living strategy.
• — Project tracker with first-class AI agent triage.
• — AI-augmented docs and databases for PRDs.
• — Product platform with AI feedback synthesis.

• — AI-tagged user research repository with theme extraction.
• — AI meeting capture and summarization.
• — Synthesizes app reviews, tickets, and surveys into themes.

Conceptual frames for thinking about AI products.

• by Marty Cagan — Retrospective on what's changed in AI PM.
• (Anthropic) — First-principles design around LLMs.
• — Tagged archive of Lenny's AI-specific essays.
• — On the AI engineer role PMs partner with.

Newsletters and blogs that move the needle on AI product thinking.

• by Jack Clark — Weekly AI research and policy from Anthropic's co-founder.
• — Curated AI news digest.
• — The AI engineer's newsletter and podcast.
• — Product, growth, and AI from a former Airbnb PM.
• by Ben Thompson — Strategic tech analysis with deep AI coverage.
• — Engineering reading for PMs who code.

Book	Author(s)	Why it matters
	Marty Cagan	Canonical PM foundation. Read this before any AI material.
	Cagan & Chris Jones	PM teams and leadership.
	Mustafa Suleyman	AI's macro implications, from the CEO of Microsoft AI.
	Marily Nika & Diego Granados	Practical frameworks for AI-driven PM.
	Janna Lipenkova	LLMs, agent systems, AI UX design.

• — AI engineering and product, weekly.
• — Long-form PM interviews with frequent AI guests.
• — AI applied to real product problems.
• by Melissa Perri — PM craft, increasingly AI-aware.

Recent landscape reports worth keeping bookmarked, most recent first.

• (Sequoia, Mar 2026) — From copilots to autopilots.
• (a16z, Mar 2026) — Which AI apps people actually use.
• (Sequoia, 2026) — Long-horizon agents as the AGI inflection point.
• (Stanford HAI, 2026) — Annual data-rich AI progress report.
• (Air Street Capital, 2025) — Annual landscape: research, industry, geopolitics, safety.

• — One of the largest PM communities; growing AI content.
• — Free events and paid AI-augmented PM tracks.
• — Paid programs in product strategy and AI.

Accounts that consistently post substantive PM/AI content.

Person	Where	Posts about
	@lennysan	Product, growth, AI.
	@shreyas	Product craft and decision-making.
	LinkedIn	The canonical PM voice.
	@peteskomoroch	AI product management.
	@karpathy	AI fundamentals; coined "vibe coding."
	@swyx	AI engineering meets product.
	@steipete	Agentic UX; OpenClaw → OpenAI.

Open a PR to add a resource. Guidelines:

• One resource per PR.
• Place additions alphabetically within the relevant section.
• Format: [Name](URL) — Short description ending with a period.
• Description should be one sentence, descriptive, never marketing.
• Resource must be substantive — no thin link-collections, no paid-only content without a significant free portion, no general productivity tools without a clear PM/AI angle.

If you're unsure whether something fits, open an issue first.

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