GenAI PM
person23 mentions· Updated May 26, 2026

Udi Menkes

A builder cited for improving AI performance through better context organization. The newsletter highlights a markdown 'resolver' that maps tasks to relevant files to reduce context overload.

Key Highlights

  • Udi Menkes is cited as a builder focused on improving AI performance through better context organization and artifact design.
  • His 50-line markdown resolver is highlighted as a simple but powerful fix for context overload, routing tasks to the most relevant brain files.
  • He promotes an agent-native model of product management where PMs spend more time on strategy, context, and feedback loops than manual execution.
  • His work connects AI tooling choices to broader org design changes, including the rise of builder-style PM roles.
  • He is associated with practical markdown-based systems such as DESIGN.md and AI-assisted second-brain workflows in Cloud Code.

Udi Menkes

Overview

Udi Menkes is a frequently cited builder and thinker in the AI product management ecosystem, known for practical frameworks and lightweight systems that improve how humans and AI agents work together. Across newsletter mentions, he appears less as a traditional executive profile and more as an operator experimenting in public with AI-native workflows, context systems, product org design, and agent-assisted execution.

For AI Product Managers, Menkes matters because his ideas consistently sit at the intersection of product practice and applied AI operations: how to reduce context overload, how to structure files and artifacts for agents, how PM roles shift toward "builder" modes, and how AI-native companies can replace rigid hierarchies with faster feedback loops. His examples—such as a simple markdown resolver that routes tasks to the most relevant files, or a "second brain" that generates daily briefs—offer tactical patterns PMs can adopt immediately.

Key Developments

  • 2026-04-05: Warned that Anthropic was ending third-party Claude integrations and requiring separate API keys, framing it as an important market signal for teams building on Claude and related ecosystems.
  • 2026-04-07: Introduced DESIGN.md, a plain-text markdown format intended to capture complete design systems—colors, typography, spacing, and components—using examples from 55 production sites including Linear, Stripe, and Airbnb.
  • 2026-04-19: Compiled 108 GenAI PM briefs into a 601-page wiki, identifying Claude Code as the dominant PM tool in 2026 and Guillermo Rauch as the most-cited influencer in that corpus.
  • 2026-04-26: Explained how Claude’s product network can sustain weekly feature releases through seven key principles, pointing to a more networked and fast-moving AI product operating model.
  • 2026-05-04: Proposed the concept of the Agent-Native PM, where conversing with an AI agent becomes the core product management interface, shifting the PM role toward roughly 80% strategy and 20% execution.
  • 2026-05-08: Noted that companies such as OpenAI and Apollo were replacing traditional PM labels with more execution-oriented titles like builders, Deployed Product Managers, and Product Builders.
  • 2026-05-14: Shared that he had built a "second brain" in Cloud Code that produces daily briefs, manages a content pipeline, tracks initiatives, and suggests actions while he primarily supplies context, feedback, and approvals.
  • 2026-05-24: Relayed Tom Bloomfield’s view that AI-native companies should replace older hierarchies with a simple loop: create artifacts, set rules, run AI, test, learn, and repeat.
  • 2026-05-26: Described a 50-line markdown "resolver" that maps each task to the three most relevant "brain" files, dramatically improving AI performance by reducing context overload.

Relevance to AI PMs

1. Context architecture as a PM lever: Menkes repeatedly highlights that AI performance is often a systems problem, not just a model problem. AI PMs can use his patterns—structured markdown files, brain files, resolvers, and explicit artifact design—to improve quality without changing models.

2. A practical blueprint for agent-native workflows: His examples suggest PMs should manage agents by curating context, rules, feedback loops, and approvals rather than doing every execution step manually. This is useful for PMs building personal operating systems or redesigning team workflows around AI agents.

3. Signals on role and org redesign: Menkes connects tooling shifts to operating-model shifts. For AI PMs, his writing is useful as a guide to emerging role definitions such as builder or agent-native PM, and to faster org structures built around artifacts, iteration loops, and AI-assisted delivery.

Related

  • Anthropic / Claude / Claude Code: Central to several Menkes mentions, especially around platform changes, product operating models, and tool dominance among GenAI PMs.
  • Cloud Code: The environment where he reportedly built a "second brain" that manages briefs, initiatives, and suggested actions.
  • DESIGN.md: A Menkes-associated markdown standard for encoding design systems in a format AI tools can use.
  • Linear, Stripe, Airbnb: Cited as examples informing DESIGN.md and the broader idea of converting production-grade design systems into AI-readable artifacts.
  • OpenAI, Apollo: Referenced in relation to the shift from classic PM titles toward builder-oriented roles.
  • Tom Bloomfield: Connected through the AI-native company feedback-loop model Menkes amplified.
  • Guillermo Rauch: Surfaced in Menkes’s 601-page GenAI PM wiki as the most-cited influencer in that dataset.
  • Context overload / brain files: Core concepts in Menkes’s framing of why AI systems underperform and how simple routing layers can improve agent effectiveness.

Newsletter Mentions (23)

2026-05-26
#7 in Udi Menkes dramatically boosted AI performance by writing a 50-line markdown “resolver” that maps each task to the three most relevant “brain” files, solving context overload overnight.

#7 in Udi Menkes dramatically boosted AI performance by writing a 50-line markdown “resolver” that maps each task to the three most relevant “brain” files, solving context overload overnight. #8 📝 Simon Willison Microsoft Copilot Cowork Exfiltrates Files - A report describes how Microsoft Copilot Cowork allowed agent-sent emails to leak data via externally rendered images and pre-authenticated OneDrive links, creating a path for prompt-injection exfiltration.

2026-05-24
in Udi Menkes relays Tom Bloomfield’s take that AI-Native companies should replace old hierarchies with a simple feedback loop—create artifacts, set rules, run AI, test, learn and repeat.

in Udi Menkes relays Tom Bloomfield’s take that AI-Native companies should replace old hierarchies with a simple feedback loop—create artifacts, set rules, run AI, test, learn and repeat.

2026-05-14
#5 in Udi Menkes built a “second brain” in Cloud Code a month ago that now sends him daily briefs—managing his content pipeline, tracking initiatives, and suggesting actions—while he simply feeds it context, feedback, and approvals.

#5 in Udi Menkes built a “second brain” in Cloud Code a month ago that now sends him daily briefs—managing his content pipeline, tracking initiatives, and suggesting actions—while he simply feeds it context, feedback, and approvals. #6 📝 OpenAI News Our response to the TanStack npm supply chain attack - On May 11, 2026 OpenAI detected the TanStack npm compromise (part of the Mini Shai‑Hulud supply‑chain attack) affected two employee devices and led to limited credential exfiltration from some internal source repositories, but the company found no evidence of access to customer data, production systems, intellectual property, or maliciously signed software.

2026-05-08
#23 in Udi Menkes notes that leading companies like OpenAI and Apollo are replacing traditional PM titles with “builders”—Deployed Product Managers and Product Builders—to prioritize hands-on, AI-powered development.

Udi Menkes is mentioned in relation to role changes in AI companies.

2026-05-04
in Udi Menkes proposes Agent-Native PM, where conversing with your AI agent is the core of product management—shifting to 80% strategy and 20% execution.

#7 in Udi Menkes proposes Agent-Native PM, where conversing with your AI agent is the core of product management—shifting to 80% strategy and 20% execution. #8 ▶️ Why cultivating agency matters more than cultivating skills in the AI era | Max Schoening (Notion) Lennys Podcast Notion’s design team built a minimal LLM-friendly terminal playground to prototype AI chat interfaces, moving initial design work from Figma into code.

2026-04-26
in Udi Menkes explains that Claude’s product network sustains weekly feature releases through seven key principles.

#10 in Udi Menkes explains that Claude’s product network sustains weekly feature releases through seven key principles. #11 𝕏 Qwen sharpened instruction-following, improving adherence to prompt semantics in complex compositions with enhanced multi-object, spatial relationship, and attribute-binding handling. #12 📝 Simon Willison Romain Huet - Romain Huet confirms on Twitter that OpenAI unified Codex with the main model since GPT-5.4 and that GPT-5.5 continues this trend with improvements in agentic coding and computer tasks.

2026-04-19
in Udi Menkes compiled 108 GenAI PM briefs into a 601-page wiki, uncovering Claude Code as the dominant PM tool in 2026 (85/108 mentions) and Guillermo Rauch as the most-cited influencer (53 mentions).

#11 in Udi Menkes compiled 108 GenAI PM briefs into a 601-page wiki, uncovering Claude Code as the dominant PM tool in 2026 (85/108 mentions) and Guillermo Rauch as the most-cited influencer (53 mentions).

2026-04-07
#12 in Udi Menkes introduces DESIGN.md, a plain-text markdown file capturing complete design systems (colors, typography, spacing, components) from 55 production sites like Linear, Stripe, and Airbnb.

#12 in Udi Menkes introduces DESIGN.md, a plain-text markdown file capturing complete design systems (colors, typography, spacing, components) from 55 production sites like Linear, Stripe, and Airbnb.

2026-04-05
Udi Menkes warns that Anthropic is ending third-party Claude integrations and now requires separate API keys—a clear market signal.

Anthropic Announces Separate API Keys for Third-Party Engines #1 in Udi Menkes warns that Anthropic is ending third-party Claude integrations and now requires separate API keys—a clear market signal.

2026-04-05
#1 in Udi Menkes warns that Anthropic is ending third-party Claude integrations and now requires separate API keys—a clear market signal.

Anthropic Announces Separate API Keys for Third-Party Engines #1 in Udi Menkes warns that Anthropic is ending third-party Claude integrations and now requires separate API keys—a clear market signal. #2 𝕏 Sebastian Raschka outlines the essential building blocks for coding agents—repo context ingestion, tool integration (e.g., linters and debuggers), layered memory, and task delegation—to show how to architect autonomous, context-aware developer assistants.

Related

Claude Codetool

Anthropic's coding assistant used for programming and automation tasks. The newsletter references it for building a custom approval device and for writing and research workflows inside AI agents.

Anthropiccompany

AI company behind Claude. The newsletter references Claude usage and later notes Anthropic may have reached product-market fit.

OpenAIcompany

AI company behind Codex and other products. The newsletter references its Codex-based tax agents and the OpenAI Foundation's initial commitment.

Claudetool

Anthropic's model family used for agent orchestration and developer workflows. In this newsletter it is highlighted as powering CodeRabbit's agent orchestration system.

Cursortool

An AI coding editor and automation platform. The newsletter highlights multi-repository support for automations across codebases.

Guillermo Rauchperson

CEO of Vercel and a prominent web platform builder. The newsletter credits him with launching an AI Gateway plugin for WordPress.

Lenny Rachitskyperson

A newsletter/podcast operator cited for summarizing Dan Shipper’s view on AI, work, and value creation. He connects the discussion to skill commoditization and recombination.

OpenClawtool

An AI agent workflow system used to automate founder and operator tasks with cron jobs, skills, and integrations. The newsletter cites it as part of a solo-founder operating stack alongside Codex and Devin.

Vercelcompany

Vercel is the hosting platform used for the rapid prototype demo. It remains a common deployment choice for AI-built web apps and landing pages.

NVIDIAcompany

A company shipping verified agent skills and broader AI infrastructure/tools. The mention signals ecosystem support for cross-platform agent capabilities.

Garry Tanperson

President and CEO of Y Combinator. In this newsletter he argues that AI builders should focus on automating repetitive tasks and that startups need specific lived insight.

AI agentsconcept

Autonomous or semi-autonomous software systems that can take actions, manage workflows, and assist with operational work. The newsletter references them in multiple founder and startup productivity contexts.

Stripecompany

Payments infrastructure company referenced for its CLI and Console AI agent. Relevant to PMs for API-first workflows and admin-console automation.

Linearcompany

A project and ticket management tool used here as the system of record for agent workflows. PMs can use it to route tasks to coding agents and track review states.

Cloud Codetool

A cloud-based coding environment used to build a personal AI assistant or ‘second brain.’ It is described as managing briefs, tracking initiatives, and suggesting actions.

Jensen Huangperson

CEO of NVIDIA and a prominent figure in AI hardware and robotics. He is mentioned demonstrating a home AI robotics setup at CES.

Rampcompany

A company cited for showing real AI adoption value only after engineers built supporting context files, MCPs, memory, and workflows. It is used as an example of the hidden setup cost of enterprise AI adoption.

Claude skillsconcept

Reusable Claude-based skill modules that package agentic workflows into portable components. The newsletter frames them as a way to avoid building AI agents from scratch.

DESIGN.mdtool

A script-like design artifact or workflow described as being executed by coding agents. The newsletter frames it as part of a shift toward autonomous, personalized design capabilities.

Airbnbcompany

A travel and lodging platform increasingly associated with AI-driven experiences and services. The newsletter mentions it in the context of a new hire from Meta.

Zaitool

Chinese AI lab mentioned as the creator of GLM-5.1. It appears as the organization behind a large open model released via OpenRouter.

Stay updated on Udi Menkes

Get curated AI PM insights delivered daily — covering this and 1,000+ other sources.

Subscribe Free